Dr Venkata Ravibabu Mandla

@nirdpr.org.in

Associate Professor & Head, Center for ICT
National Institute of Rural Development and Panchayati Raj (NIRDPR), An autonomous organization under the Ministry of Rural Development, Govt of India

Dr Venkata Ravibabu Mandla


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https://researchid.co/mvravibabu

EDUCATION

M.Sc. in Env Sciences, KU
M.Tech in Remote Sensing, BIT Mesra
PhD in Geomatics/Civil Engineering, -IIT Roorkee
Research Supervision Accreditation Certificate (for PhD and Master's), Monash University

RESEARCH, TEACHING, or OTHER INTERESTS

Multidisciplinary, Space and Planetary Science, Environmental Science, Engineering
77

Scopus Publications

1805

Scholar Citations

23

Scholar h-index

39

Scholar i10-index

Scopus Publications

  • Editorial: Emerging trends and advancements of geoinformatics applications in earth and environmental systems
    Venkata Ravibabu Mandla, Xuan Zhu, Anuj Tiwari, Mohammad Shoab
    Frontiers in Earth Science, 2025
    Geoinformatics, an interdisciplinary field combining geospatial analysis, remote sensing, and computational technologies, has emerged as a pivotal tool in addressing complex challenges in Earth and environmental systems. By integrating advanced technologies such as Geographic Information Systems (GIS), remote sensing, Geo-AI, and machine learning, geoinformatics facilitates a deeper understanding of environmental dynamics and supports sustainable decision-making. This editorial explores the latest trends and advancements in geoinformatics, with a focus on its applications in domains such as agriculture, forestry, water management, infrastructure, climate resilience, mineral exploration, geohazards, and urban/rural development. Highlighting innovative simulation techniques, statistical reasoning and validation, and cutting-edge technologies like Multispectral and Hyperspectral Remote Sensing and Unmanned Aerial Vehicle (UAV) systems, this special issue presents seven high-quality research articles selected from twelve submissions, all contributing to the evolving landscape of geoinformatics.The first study, conducted by Zhang et al. (2024), examined the socio-economic and ecological consequences of coal mining in the Yanzhou Coalfield, China, from 1990 to 2020. Employing socio-economic data, land use analysis, and the Pressure-State-Response (PSR) model, the research evaluates the trade-offs between economic growth and environmental degradation. The findings reveal that coal mining significantly boosted the region's economy, driving GDP growth, industrial output, employment, and urbanization. However, this economic prosperity came at a steep ecological cost. Mining activities transformed agricultural and natural landscapes into industrial zones, leading to a substantial reduction in cultivated land and forests. The study notes increased landscape fragmentation, disrupted ecological connectivity, and land subsidence, which created waterlogged areas unsuitable for agriculture or forestry.The PSR model highlights a significant decline in ecological security due to intense mining pressures, including vegetation loss and soil degradation. Despite reclamation efforts, full ecosystem restoration remains elusive, underscoring the limitations of current practices. The study recommends integrating ecological security into mining planning, leveraging remote sensing for real-time monitoring, and enforcing stricter environmental regulations. Additionally, it advocates for economic diversification to reduce dependence on coal, promoting long-term sustainability in regions like Yanzhou. This research exemplifies how geoinformatics can quantify environmental impacts and inform sustainable resource management strategies, offering a model for other mining-dependent regions globally.The second article, by Zhou et al. (2024), focused on fine-grained classification of tree species using hyperspectral imagery from the Chinese Resource-1 02D satellite in Maguan County, Yunnan Province, China. The study employs a Backpropagation (BP) neural network to achieve a classification accuracy of 92.5%, demonstrating the efficacy of hyperspectral data in distinguishing dominant tree species. By identifying optimal spectral bands that capture unique spectral signatures, the research enhances species differentiation in diverse ecosystems. The integration of field measurements with satellite data ensures robust model validation, making the methodology scalable for forest resource management, biodiversity monitoring, and environmental conservation.The high spectral resolution of the Resource-1 02D satellite outperforms traditional multispectral data, enabling precise species identification. This capability is critical for monitoring forest health, assessing biodiversity, and supporting conservation efforts. The study highlights the potential of hyperspectral remote sensing in large-scale ecological applications, offering a cost-effective and accurate approach to managing forest resources. By bridging advanced machine learning with high-resolution imagery, this research underscores the transformative role of geoinformatics in environmental studies.Yu et al. ( 2024) investigated the use of short-wave infrared (SWIR) and thermal infrared (TIR) data for detecting high-temperature targets, such as forest fires, grassland fires, heap coking, straw burning, and volcanic eruptions. The study compares the effectiveness of SWIR (1.3-2.5 μm) and TIR (8-14 μm) data in retrieving thermal anomalies, which have significant environmental and societal impacts. The authors propose two schemes for estimating the reflectivity of background pixels within high-temperature mixed pixels, emphasizing spectral consistency with surrounding normal-temperature objects.The research demonstrates that SWIR and TIR data offer complementary strengths for rapid, macroscopic detection of high-temperature targets. By leveraging remote sensing technologies, the study addresses the challenge of accurately retrieving temperatures for small-area targets, which is critical for timely disaster response and environmental monitoring. The findings highlight the importance of integrating multiple spectral bands to enhance detection accuracy, paving the way for improved monitoring of geohazards and environmental phenomena.Zheng et al. ( 2024) evaluated the applicability of the Framework for Integrated Resource and Sustainability Tools (FIRST) model in the Hobq Desert, a typical arid region in northern China. The study assesses the model's ability to support sustainable land management by integrating ecological and socio-economic factors. The results indicate that the FIRST model is highly adaptable to the desert's unique conditions, effectively guiding land-use planning and management strategies. By balancing ecological protection with economic development, the model offers a robust decision-support tool for combating desertification and managing natural resources.The study provides actionable insights for policymakers, demonstrating how the FIRST model can inform targeted interventions for sustainable development in arid landscapes. Its findings are particularly relevant for regions facing similar environmental challenges, where geoinformatics can bridge data-driven analysis with practical management solutions. This research highlights the role of integrated modelling in promoting resilience and sustainability in vulnerable ecosystems.Peddinti et al. ( 2025) explored a novel approach to harmonize hyperspectral data from AVIRIS-NG with multispectral data from Sentinel-2 satellites. The study develops an automated band selection algorithm to identify the most informative spectral bands, enhancing the accuracy of earth science applications such as land cover classification and vegetation analysis. By aligning AVIRIS-NG's high-resolution data with Sentinel-2's spectral characteristics, the algorithm facilitates seamless data integration, improving the monitoring of ecological and geological phenomena.The research validates the effectiveness of the selected bands in capturing critical environmental information, demonstrating significant improvements in interoperability between hyperspectral and multispectral datasets. This methodology is particularly valuable in regions with limited access to high-resolution hyperspectral data, as it leverages the widespread availability of multispectral data. The study underscores the potential of automated band selection to advance remote sensing applications, contributing to more accurate and comprehensive analyses of Earth systems.Pirasteh et al. ( 2025) presented a comprehensive approach to delineate groundwater recharge potential zones in Haridwar District, India, using geospatial analysis and the Analytic Hierarchy Process (AHP). The study integrates thematic layers such as land use/land cover, soil type, slope, drainage density, lineament density, rainfall, and geology to create a recharge potential map. By assigning weights through AHP, the research identifies areas with high, moderate, and low recharge potential, providing critical insights for water resource management.The findings highlight suitable zones for artificial recharge structures, such as percolation tanks and check dams, offering a replicable model for regions facing groundwater depletion. The integration of geospatial techniques with AHP enhances the precision of recharge potential mapping, supporting sustainable water management strategies. This study demonstrates the power of geoinformatics in addressing hydrogeological challenges, with implications for water-scarce regions worldwide.The final study examined the dynamic relationship between ecological environmental quality (EEQ) and urbanization in Jiangsu Province, China, using a coupling coordination degree model. The research reveals significant spatial and temporal disparities in the coordination between urban development and environmental quality. Southern regions of Jiangsu exhibit higher coordination compared to northern areas, where rapid urbanization often outpaces environmental management. The study identifies key influencing factors, including policy frameworks and land-use practices, that shape this relationship.By highlighting areas where ecological considerations lag behind urban growth, the research provides actionable insights for policymakers. It emphasizes the need for integrated urban planning that prioritizes environmental sustainability, offering a framework for balancing growth with ecological preservation. This study underscores the role of geoinformatics in analyzing complex socio-environmental interactions, contributing to sustainable development goals.The seven studies in this special issue collectively highlight the transformative impact of geoinformatics in addressing pressing environmental challenges. By leveraging GIS, remote sensing, hyperspectral imaging, and machine learning, researchers are developing innovative solutions to monitor and manage Earth systems effectively. These advancements enhance our understanding of complex environmental dynamics, from land use changes to groundwater recharge and ecological quality. They also provide actionable insights for policymakers, supporting evidence-based decisions that promote sustainability and resilience.Looking ahead, the field of geoinformatics is poised for further growth, driven by advancements in Geo-AI, machine learning, and sensor technologies. The integration of UAV systems and high-resolution hyperspectral data will continue to enhance the precision and scalability of environmental monitoring. Interdisciplinary collaborations will be critical in addressing multifaceted challenges, combining expertise from environmental science, data science, and policy analysis. Additionally, the development of open-access datasets and userfriendly tools will democratize access to geoinformatics, enabling broader participation in environmental management. However, challenges remain, including the need for standardized methodologies, improved data interoperability, and capacity building in developing regions. Addressing these barriers will require sustained investment in research, infrastructure, and education. As geoinformatics evolves, its ability to provide real-time, high-resolution insights will be paramount in tackling global issues such as climate change, resource depletion, and urbanization.Geoinformatics stands at the forefront of environmental science, offering powerful tools to address the complex interplay of human and natural systems. The studies in this special issue demonstrate the field's potential to drive sustainable outcomes across diverse domains, from mining and forestry to water management and urban planning. By embracing emerging technologies and fostering interdisciplinary collaboration, geoinformatics will continue to shape a more resilient and sustainable future for Earth and its inhabitants.
  • CODED DISCRIMINATION: GENDER BLINDSPOTS IN ARTIFICIAL INTELLIGENCE
    Vanishree Joseph, Venkata Ravibabu Mandla
    Journal of Rural Development, 2024
    The reliance on artificial intelligence (AI) for decision-making has highlighted significant concerns regarding gender bias, as these systems often perpetuate societal prejudices embedded in their training data. Despite a sixfold increase in AI talent from 2016 to 2022, female representation in the AI workforce remains low at 30 per cent. This paper examines how AI conceptualises gender, leading to biases in various domains, and suggests remedies. It emphasises the need for diversity in AI development teams and datasets, fairness in AI systems, and transparency in AI decision-making processes. Studies reveal that gender imbalances significantly affect AI performance, particularly in areas like medical imaging. The paper calls for collaboration between gender theorists and AI technologists to enhance AI inclusivity and equity. Ethical AI development must consider long-term impacts on individuals’ self-worth and societal dynamics, aiming for responsible and unbiased AI systems that contribute positively to society.
  • Automating band selection for hyperspectral indices: bridging AVIRIS-NG and Sentinel-2 satellite data for earth science applications
    Veerendra Satya Sylesh Peddinti, Venkata Ravibabu Mandla, Shashi Mesapam, Suresh Kancharla
    Frontiers in Earth Science, 2024
    Hyperspectral data from the Airborne Visible and Infra-Red Imaging Spectrometer – Next-Generation (AVIRIS-NG) offers transformative potential for Earth science research, enabling detailed analysis of land surface processes, resource monitoring, and environmental dynamics. This study presents an automated methodology to optimize the selection of AVIRIS spectral bands, improving the computation of indices critical to Earth science applications. By leveraging multiple hyperspectral bands, the approach enhances the accuracy of indices used to monitor water resources, vegetation health, urban expansion, and built-up areas. The methodology involves calculating indices from all possible AVIRIS band combinations, evaluating their root mean squared error (RMSE) against Sentinel-2 indices, reducing RMSE skewness, and selecting bands with minimal deviation for specific Land Use Land Cover (LULC) categories. The process is automated and employs parallel processing with Python, significantly reducing execution time and enabling scalability for large geospatial datasets. Key indices, including the Normalized Difference Water Index (NDWI), Normalized Difference Red Edge (NDRE), and Normalized Difference Built-up Index (NDBI), Green Normalized Difference Vegetation Index (GNDVI) were validated using the proposed methodology. Results demonstrate the potential of hyperspectral data to outperform traditional single-band approaches, providing more precise and reliable assessments.
  • Evaluating the Landscape Dynamics Due to Shifts in Industry Patterns in Kota City, Rajasthan, India
    Himanchal Bhardwaj, Anugya Shukla, Aswathy Puthukkulam, Venkata Ravibabu Mandla, Anand K Plappally
    International Geoscience and Remote Sensing Symposium IGARSS, 2024
    Unplanned urbanization and industrialization have become threats to the sustainability of services in the cities of India. This article explores the relationship between land use spatial pattern, vegetation cover, water, and varying configurations of industrial land use in Kota City, Rajasthan, India, from the year 1990 to 2020. The study utilizes remote sensed Landsat data for analyzing the spatial-temporal dynamics of the landscape. A supervised classification approach is adopted to classify three decadal data. Spatial metrics are utilized to quantify the spatial configuration of the landscape. It was observed that a significant urban expansion has occurred in the city mainly in the northwestern direction on fertile lands, with a severe loss of traditional water bodies within the city. Lately, the rocky southern landscape of Kota city has been used for performing agriculture.
  • Role of Drone Technology in Sustainable Rural Development: Opportunities and Challenges
    Venkata Ravibabu Mandla, Nagaveni Chokkavarapu, Veerendra Satya Sylesh Peddinti
    Lecture Notes in Civil Engineering, 2023
  • Flood Mapping and Damage Assessment Using Sentinel -1 & 2 in Google Earth Engine of Port Berge & Mampikony Districts, Sophia Region, Madagascar
    Penchala Vineeth Kurapati, Ashish Babu, Kesava Rao Pyla, Prasad, Venkata Ravi Babu Mandla
    Advances in Scalable and Intelligent Geospatial Analytics Challenges and Applications, 2023
    Flooding is the gravest natural disaster that Madagascar is facing, so the government and disaster experts must monitor and assess the damage. The adoption of the traditional approach is time-taking and expensive, with advances in remote sensing techniques and the availability of free satellite data and platforms for analysis made experts easy. This study is mainly focused on flood mapping and damage assessment in an open-source cloud computing platform, i.e., Google Earth Engine, it is more economical and this methodology can be implemented by underdeveloped nations. For this study, flood-inundated maps were generated using pre and post-flood images of SAR, i.e., sentinel-1 which provides data by continuous observation during flooding, as it can penetrate through the cloud. A land use/land cover map was generated using pre-flood cloud-free sentinel-2 datasets, the overall accuracy is 92.89% and kappa coefficient is 0.91. Finally, an assessment of damage was done by overlaying flood-inundated maps on a land use/land cover map. A total area of 373.88 km2 was flooded out of which 311.52 km2, and 1.01 km2 of cropland and built-up were flooded, respectively. Therefore, this study concludes that combining microwave and optical data for flood mapping and damage assessment in the Google Earth Engine platform is more advantageous and cost-efficient.
  • Structural and alteration mapping using ASTER Imagery and DEM for Gold mineralization in the Gadag Schist Belt of Karnataka, India
    Nisha Rani, Venkata R. Mandla, Tejpal Singh
    Atlas of Structural Geological and Geomorphological Interpretation of Remote Sensing Images, 2022
    Remote sensing has found versatile use in geosciences such as economic geology, structural geology and geomorphology. Mineralization is basically controlled by lithology, structures, and hydrothermal minerals. Satellite imageries are useful for mineral exploration in mappinggeology, faults and fractures that localize ore deposits, and hydrothermally altered rocks/minerals. The formation of hydrothermal mineral deposit is usually the consequence of interaction between numerous important processes including structural, hydrological, thermal, and geochemical. The Advanced Spaceborne Thermal Emission and Reflection Radiometer multispectral data have the potential to identify mineral assemblages in different hydrothermal alteration zones because of its 14 spectral bands, which cover a wide spectral range. False color composite band ratioing, and minimum noise fraction techniques were applied to enhance alterations. Lineament, basin, and drainage were derived from the Digital Elevation Model data.
  • High-Precise True Digital Orthoimage Generation and Accuracy Assessment based on UAV Images
    Mohammad Shoab, Vivek K. Singh, M. V. Ravibabu
    Journal of the Indian Society of Remote Sensing, 2022
  • Sustainable Livelihood Security Index: A Case Study in Chirrakunta Rurban Cluster
    Supratim Guha, Dillip Kumar Barik, Venkata Ravibabu Mandla
    Geospatial Modeling for Environmental Management Case Studies from South Asia, 2022
    The present study emphasizes the importance of Sustainable Livelihood Security Index (SLSI) in Shyama Prasad Mukherjee Rurban Mission (SPMRP). This SLSI tool has the potential to identify the current sustainability condition and future needs to achieve and hold the sustainability tag. Chirrakunta Rurban Cluster is selected as a test site in this study. Three different indices viz. ecological security index (ESI), economic efficiency index (EEI), and social equity index (SEI) have been dealt with, using both spatial and nonspatial data. The selected indicators have been normalized followed by assignment of different weights to each index for computation of the final indices. By using these indices, SLSI has been estimated for each panchayat within this cluster. The results show that the only area having a very low SLSI score is Ada Panchayat which covers about 8.57% of the total area and 4.91% of the total population in this cluster and hence, it achieves the tag of Highly Sustainable (HS). The other nine panchayats that cover 75.34% of the total area and 52.38% of the total population come under Moderately Sustainable (MS) category. The remaining 16.09% of the total area and 42.71% of the total population come under Low Sustainable (LS) category in this cluster. Hence, there is an urgent need to reorient the development programmers. The investment for the development should be done on a priority basis for these vulnerable panchayats to provide them with proper resources and opportunities to ameliorate their ecological security, economic efficiency and social equity which may ascertain sustainable livelihood security to them. The regions at large require a strong and sound infrastructure to remove the deficiencies occurring at places.
  • Role of Drone Technology in Sustainable Rural Development: Opportunities and Challenges
    Venkata Ravibabu Mandla, Nagaveni Chokkavarapu, Veerendra Satya Sylesh Peddinti
    Springer Proceedings in Mathematics and Statistics, 2022
  • A comparative study of atmospheric and water column correction using various algorithms on Landsat imagery to identify Coral Reefs
    Tarun Teja Kondraju, Venkata Ravibabu Mandla, Nagaveni Chokkavarapu, Veerendra Satya Sylesh Peddinti
    Regional Studies in Marine Science, 2022
  • Python parallel processing for hyperspectral image simulation: based on distance functions
    Veerendra Satya Sylesh Peddinti, Venkata Ravibabu Mandla, Shashi Mesapam, Suresh Kancherla
    Earth Science Informatics, 2021
  • Simulation of hyperspectral image with existing Sentinel and AVIRIS data using distance functions
    Veerendra Satya Sylesh Peddinti, Venkata Ravibabu Mandla, Shashi Mesapam, Suresh Kancherla
    Arabian Journal of Geosciences, 2021
  • Selection of optimal bands of AVIRIS – NG by evaluating NDVI with Sentinel-2
    Veerendra Satya Sylesh Peddinti, Venkata Ravibabu Mandla, Shashi Mesapam, Suresh Kancharla
    Earth Science Informatics, 2021
  • UAV in Development of 3D Heritage Monument Model: A Case Study of Kota Gullu, Warangal, India.
    Sirish Dasari, Shashi Mesapam, Kumar Kumarapu, V. R. Mandla
    Journal of the Indian Society of Remote Sensing, 2021
  • Gis application for the estimation of bioenergy potential from agriculture residues: An overview
    Avinash Bharti, Kunwar Paritosh, Venkata Ravibabu Mandla, Aakash Chawade, Vivekanand Vivekanand
    Energies, 2021
  • Development of Satellite Data-Based Multiple Regression Equations for the Estimation of Total Coliform and Petroleum Hydrocarbons Along South West Coast of India
    Dinu Maria Jose, Venkata Ravibabu Mandla, Srinivasa Rao Neerukattu, Sri Venkata Subbarao Saladi
    2021
  • Mapping hydrothermal alteration zone through aster data in Gadag Schist Belt of Western Dharwar Craton of Karnataka, India
    Nisha Rani, Tejpal Singh, Venkata Ravibabu Mandla
    Environmental Earth Sciences, 2020
  • An integrated hybrid renewable energy system: potential of electricity—a geospatial approach
    Praveen Krishna Sannidhi, Venkata Ravibabu Mandla, Subbarao S. V. Saladi, Nagaveni Chokkavarapu, Veerendra Satya Sylesh Peddinti
    SN Applied Sciences, 2020
  • Analysis of Rice Crop Phenology Using Sentinel-1 and Sentinel-2 Satellite Data
    Radha Saradhi Inteti, Venkata Ravibabu Mandla, Jagadeeswara Rao Peddada, Nedun Ramesh
    Lecture Notes in Civil Engineering, 2020
  • Impact Study on Desiltation of Water Tanks in Rural Areas Using Spatial Technology: A Case Study Work Under MGNREGA
    Venkata Ravibabu Mandla, Satyanarayana Prasad Nerella, Mithun Choudhary, Veerendra Satya Sylesh Peddinti
    Lecture Notes in Civil Engineering, 2020
  • Evaluation of Physical and Environmental Parameters of the Indian Sundarbans
    Nilovna Chatterjee, Venkata Ravibabu Mandla, Ranadhir Mukhopadhyay, Nagaveni Chokkavarapu, Veerendra Satya Sylesh Peddinti
    Lecture Notes in Civil Engineering, 2020
  • Geospatial-Based Coastal Risk Assessment of Gujarat Coastline
    Minnu Abraham, R. S. Mahendra, Venkata Ravibabu Mandla, Chaithanya Sudha Merugu, Veerendra Satya Sylesh Peddinti
    Lecture Notes in Civil Engineering, 2020
  • Comparative study of GCMs, RCMs, downscaling and hydrological models: a review toward future climate change impact estimation
    Nagaveni Chokkavarapu, Venkata Ravibabu Mandla
    SN Applied Sciences, 2019
  • Evaluation of TanDEMx and SRTM DEM on watershed simulated runoff estimation
    Chokkavarapu Nagaveni, K Pavan Kumar, Mandla Venkata Ravibabu
    Journal of Earth System Science, 2019
  • Crop phenology study based on multispectral remote sensing
    Supratim Guha, Teya Pal, Venkata Ravibabu Mandla
    Lecture Notes in Civil Engineering, 2019
  • Temperature and vegetation indices based surface soil moisture estimation: A remote sensing data approach
    V. Vani, K. Pavan Kumar, Mandla Venkata Ravibabu
    Springer Series in Geomechanics and Geoengineering, 2019
  • Landscape changes and sustainable development policy in a developing area: A case study in chirrakunta rurban cluster
    Supratim Guha, Dillip Kumar Barik, Venkata Ravibabu Mandla
    Lecture Notes in Civil Engineering, 2019
  • Runoff estimation by using optimized hydrological parameters with special reference to semi-arid agriculture watershed
    Nagaveni Chokkavarapu, Pavan Kumar Kummamuru, Venkata Ravibabu Mandla
    Springer Series in Geomechanics and Geoengineering, 2019
  • GIS and MFA approach for solid waste management towards Indian proposed smart-city
    Jaydeep Lella, Venkata Ravibabu Mandla, Xuan Zhu
    Journal of Rural Development, 2018
  • Assessment of coastal water quality along south west coast of India using multile regression analysis on satellite data
    Dinu Maria Jose, Venkata Ravibabu Mandla, Saladi S. V. Subbarao, N Srinivasa Rao, Sheela A Moses
    Journal of Rural Development, 2018
  • Study of thermal IR phenomena associated with 27 February 2010 Chile Mw 8.8 earthquake using MODIS data
    Vinod Kumar Kancherla, Venkata Ravibabu Mandla, Colin Arrowsmith
    Geocarto International, 2018
  • Estimation of land use land cover change relationship with Normalized Difference Vegetation Index (NDVI) different method and Land Surface Temperature (LST)
    Indian Journal of Ecology, 2018
  • Agriculture drought analysis using remote sensing based on NDVI-LST feature space
    Indian Journal of Ecology, 2018
  • Correction to: vegetation damage assessment due to Hudhud cyclone based on NDVI using Landsat-8 satellite imagery (Arabian Journal of Geosciences, (2018), 11, 2, (35), 10.1007/s12517-017-3371-8)
    Venkata Giri Raj Kumar Konda, Venkatesh Reddy Chejarla, Venkata Ravibabu Mandla, Vani Voleti, Nagaveni Chokkavarapu
    Arabian Journal of Geosciences, 2018
  • Vegetation damage assessment due to Hudhud cyclone based on NDVI using Landsat-8 satellite imagery
    Venkata Giri Raj Kumar Konda, Venkatesh Reddy Chejarla, Venkata Ravibabu Mandla, Vani Voleti, Nagaveni Chokkavarapu
    Arabian Journal of Geosciences, 2018
  • Analysis of sustainable livelihood security: A case study of Allapur s rurban cluster
    Supratim Guha, V. R. Mandla, Dillip K. Barik, Pritam Das, V. M. Rao, Teya Pal, P. K. Rao
    Journal of Rural Development, 2018
  • Development of regression equation to study the Total Nitrogen, Total Phosphorus and Suspended Sediment using remote sensing data in Gujarat and Maharashtra coast of India
    Merin Mariam Mathew, N. Srinivasa Rao, Venkata Ravibabu Mandla
    Journal of Coastal Conservation, 2017
  • Solid waste collection/transport optimization and vegetation land cover estimation using Geographic Information System (GIS): A case study of a proposed smart-city
    Jaydeep Lella, Venkata Ravibabu Mandla, Xuan Zhu
    Sustainable Cities and Society, 2017
  • Institutional approaches for building intercultural understanding into the curriculum: an Australian perspective
    Colin Arrowsmith, Venkata Ravibabu Mandla
    Journal of Geography in Higher Education, 2017
  • Trajectory of urban growth and its socioeconomic impact on a rapidly emerging megacity
    Sainu Franco, Venkata Ravibabu Mandla, K. Ram Mohan Rao
    Journal of Urban Planning and Development, 2017
  • Quantifying and modeling of stream network using digital elevation models
    Daisy Paul, V. Ravibabu Mandla, Tejpal Singh
    Ain Shams Engineering Journal, 2017
  • Evaluation of atmospheric corrections on hyperspectral data with special reference to mineral mapping
    Nisha Rani, Venkata Ravibabu Mandla, Tejpal Singh
    Geoscience Frontiers, 2017
  • Estimation of damage to agriculture biomass due to Hudhud cyclone and carbon stock assessment in cyclone affected areas using Landsat-8
    Venkatesh Reddy Chejarla, Venkata Ravibabu Mandla, Gobinath Palanisamy, Mithun Choudhary
    Geocarto International, 2017
  • Spatial distribution of altered minerals in the Gadag Schist Belt (GSB) of Karnataka, Southern India using hyperspectral remote sensing data
    Nisha Rani, Venkata Ravibabu Mandla, Tejpal Singh
    Geocarto International, 2017
  • Study and evaluation of carbon sequestration using remote sensing and GIS: A review on various techniques
    International Journal of Civil Engineering and Technology, 2017
  • Impact assessment of watershed management on land use/land cover change using RS and GIS: A case study
    International Journal of Civil Engineering and Technology, 2017
  • Comparative study of NDVI and SAVI vegetation indices in Anantapur district semi-arid areas
    International Journal of Civil Engineering and Technology, 2017
  • Urbanization, energy consumption and emissions in the Indian context A review
    Sainu Franco, Venkata Ravibabu Mandla, K. Ram Mohan Rao
    Renewable and Sustainable Energy Reviews, 2017
  • Study of various factors influence on land surface temperature in urban environment
    Debjit Datta, Mithun Prasad K, Venkata Ravibabu Mandla
    Journal of Urban and Environmental Engineering, 2017
  • Removal of basic dye from synthetic wastewater using sugarcane bagasse modified with propionic acid
    Sandra Sajen, Jephin Varughese Jose, Sandeep Bukke, Chaithanya Sudha M, Saladi S.V. Subbarao, V.R. Mandla
    Research Journal of Pharmacy and Technology, 2017
  • Performance of image classification on hyperspectral imagery for lithological mapping
    Nisha Rani, Venkata Ravibabu Mandla, Tejpal Singh
    Journal of the Geological Society of India, 2016
  • Estimation of bright roof areas for large scale solar PV applications to meet the power demand of megacity Hyderabad
    Sainu Franco, Venkata Ravibabu Mandla, K. Ram Mohan Rao
    Applied Solar Energy English Translation of Geliotekhnika, 2016
  • Quantification of LST and CO2 levels using Landsat-8 thermal bands on urban environment
    Venkatesh Reddy Chejarla, Pramod Kumar Maheshuni, Venkata Ravibabu Mandla
    Geocarto International, 2016
  • A Geospatial Approach for the Development of Hazardous Building Zonation Mapping
    Sruthi Krishnan Vijayakrishnan, Venkata Ravibabu Mandla, Rama Mohan Rao Pannem
    Arabian Journal for Science and Engineering, 2016
  • Reed bed systems for treatment of poultry pre-treated wastewater
    International Journal of Research in Pharmaceutical Sciences, 2016
  • Influence of urban areas on environment: Special reference to building materials and temperature anomalies using geospatial technology
    Karthika Raghavan, VenkataRavibabu Mandla, Sainu Franco
    Sustainable Cities and Society, 2015
  • A regional study on estimation of crop water requirement and evapotranspiration
    International Journal of Earth Sciences and Engineering, 2015
  • Urban growth simulation for an emerging Indian megacity using cellular automata
    International Journal of Earth Sciences and Engineering, 2015
  • Integrated water and waste water management for a township
    Journal of Industrial Pollution Control, 2015
  • Study of temperature profile on various land use and land cover for emerging heat Island
    Sainu Franco, Venkata Ravibabu Mandla, K. Ram Mohan Rao, Pramod Kumar M, Anand P.C.
    Journal of Urban and Environmental Engineering, 2015
  • A newapproach towards image based virtual 3D city modeling by using close range photogrammetry
    S.P. Singh, K. Jain, V.R. Mandla
    ISPRS Annals of the Photogrammetry Remote Sensing and Spatial Information Sciences, 2014
  • Analysis of road transport energy consumption and emissions: A case study
    Sainu Franco, Venkata Ravibabu Mandla
    International Journal of Energy Sector Management, 2014
  • Estimation of methane from flooded paddy fields in Andhra Pradesh
    International Journal of Earth Sciences and Engineering, 2014
  • Image based 3D city modeling: Comparative study
    S.P. Singh, K. Jain, V.R. Mandla
    International Archives of the Photogrammetry Remote Sensing and Spatial Information Sciences ISPRS Archives, 2014
  • Evaluation of various image classification techniques on Landsat to identify coral reefs
    Tarun Teja Kondraju, Venkata Ravi Babu Mandla, R.S. Mahendra, T. Srinivas Kumar
    Geomatics Natural Hazards and Risk, 2014
  • Microwave assisted synthesis of guar gum grafted sodium acrylate/cloisite superabsorbent nanocomposites: Reaction parameters and swelling characteristics
    M. Likhitha, R.R.N. Sailaja, V.S. Priyambika, M.V. Ravibabu
    International Journal of Biological Macromolecules, 2014
  • A regional study on biomass estimation, carbon stock and energy potential of Bamboo resource
    International Journal of Earth Sciences and Engineering, 2013
  • Virtual 3D city modeling: Techniques and Applications
    S. P. Singh, K. Jain, V. R. Mandla
    International Archives of the Photogrammetry Remote Sensing and Spatial Information Sciences ISPRS Archives, 2013
  • Identification and mapping of red sandalwood using Hyperspectral imagery
    International Journal of Applied Engineering Research, 2013
  • Comparative estimation of methane from flooded paddy fields in Andhra Pradesh
    International Journal of Applied Engineering Research, 2013
  • Evaluation of various classification techniques for land use, land cover with special reference to urban mapping
    International Journal of Earth Sciences and Engineering, 2012
  • Comparative study of evapotranspiration losses using various algorithms
    International Journal of Earth Sciences and Engineering, 2012
  • Accuracy Improvement of ASTER Stereo Satellite Generated DEM Using Texture Filter
    Mandla Ravibabu, Kamal Jain, Surendra Singh, Naga Meeniga
    Geo Spatial Information Science, 2010
  • Using rational polynomial coefficients (RPC) to generate digital elevation models - A comparative study
    Applied GIS, 2009
  • Digital elevation model accuracy aspects
    Mandla V. Ravibabu, Kamal Jain
    Journal of Applied Sciences, 2008
  • A web-based survey on digital elevation models
    Mandla V. Ravibabu, Kamal Jain
    Geographic Information Sciences, 2006

RECENT SCHOLAR PUBLICATIONS

  • MIKE 2D-hydrodynamic modelling of the Jojari River: spatio-temporal analysis of flow, inundation, and anthropogenic influences (2015–2020)
    A Meena, H Bhardwaj, P Jakhar, VR Mandla, AK Plappally
    Environment, Development and Sustainability, 1-19 , 2026
    2026
  • A novel multivariate approach for water quality index prediction irrespective of the geospatial distinction of water sources having varied end uses
    H Bhardwaj, R Satankar, D Giridharan, D Bhattu, VR Mandla, ...
    2026
  • Emerging trends and advancements of geoinformatics applications in earth and environmental systems
    VR Mandla, X Zhu, A Tiwari, M Shoab
    Frontiers in Earth Science 13, 1641510 , 2025
    2025
    Citations: 3
  • Automating band selection for hyperspectral indices: bridging AVIRIS-NG and Sentinel-2 satellite data for earth science applications
    VSS Peddinti, VR Mandla, S Mesapam, S Kancharla
    Frontiers in Earth Science 12, 1487160 , 2025
    2025
    Citations: 1
  • Evaluating the Landscape Dynamics Due to Shifts in Industry Patterns in Kota City, Rajasthan, India
    H Bhardwaj, A Shukla, A Puthukkulam, VR Mandla, AK Plappally
    IGARSS 2024-2024 IEEE International Geoscience and Remote Sensing Symposium … , 2024
    2024
  • Coded Discrimination: Gender Blindspots in Artificial Intelligence
    V Joseph, VR Mandla
    Journal of Rural Development, 461-471 , 2024
    2024
  • Linear aspects of morphometric analysis generated from QSWAT: with special reference to accuracy of various DEMs with conventional and computation techniques
    N Chokkavarapu, VR Mandla, VSS Peddinti, VKR Alugari
    Arabian Journal of Geosciences 16 (10), 582 , 2023
    2023
  • Flood mapping and damage assessment using sentinel–1 & 2 in google earth engine of port berge & Mampikony Districts, Sophia Region, Madagascar
    PV Kurapati, A Babu, KR Pyla, P Nsr, VRB Mandla
    Adv Scalable Intell Geospatial Analytics: Challenges Appl 1, 288-289 , 2023
    2023
    Citations: 7
  • Role of Drone Technology in Sustainable Rural Development: Opportunities
    VR Mandla, N Chokkavarapu, VSS Peddinti
    Proceedings of UASG 2021: Wings 4 Sustainability: Unmanned Aerial System in … , 2023
    2023
  • Structural and alteration mapping using ASTER imagery and DEM for gold mineralization in the Gadag Schist Belt of Karnataka, India
    N Rani, VR Mandla, T Singh
    Atlas of Structural Geological and Geomorphological Interpretation of Remote … , 2022
    2022
    Citations: 2
  • High-precise true digital orthoimage generation and accuracy assessment based on UAV images
    M Shoab, VK Singh, MV Ravibabu
    Journal of the Indian Society of Remote Sensing 50 (4), 613-622 , 2022
    2022
    Citations: 24
  • Sustainable Livelihood Security Index: A Case Study in Chirrakunta Rurban Cluster
    S Guha, DK Barik, VR Mandla
    Geospatial Modeling for Environmental Management, 325-346 , 2022
    2022
  • A comparative study of atmospheric and water column correction using various algorithms on Landsat imagery to identify Coral Reefs
    TT Kondraju, VR Mandla, N Chokkavarapu, VSS Peddinti
    Regional Studies in Marine Science 49, 102082 , 2022
    2022
    Citations: 11
  • Impact of rural roads in india: A case study based on spatial data analysis
    SK Naspoori, VR Mandla, PK Rao, NSR Prasad, AVK Reddy, PVS Sylesh
    Asia-Pacific Journal of Rural Development 31 (2), 281-296 , 2021
    2021
    Citations: 2
  • Python parallel processing for hyperspectral image simulation: based on distance functions
    VSS Peddinti, VR Mandla, S Mesapam, S Kancherla
    Earth Science Informatics 14 (4), 2221-2229 , 2021
    2021
    Citations: 1
  • Simulation of hyperspectral image with existing Sentinel and AVIRIS data using distance functions
    VSS Peddinti, VR Mandla, S Mesapam, S Kancherla
    Arabian Journal of Geosciences 14 (17), 1689 , 2021
    2021
    Citations: 1
  • Selection of optimal bands of AVIRIS–NG by evaluating NDVI with Sentinel-2
    VSS Peddinti, VR Mandla, S Mesapam, S Kancharla
    Earth Science Informatics 14 (3), 1285-1302 , 2021
    2021
    Citations: 4
  • UAV in Development of 3D Heritage Monument Model: A Case Study of Kota Gullu, Warangal, India.
    S Dasari, S Mesapam, K Kumarapu, VR Mandla
    Journal of the Indian Society of Remote Sensing 49 (7), 1733-1737 , 2021
    2021
    Citations: 12
  • Role of drone technology in sustainable rural development: opportunities and challenges
    VR Mandla, N Chokkavarapu, VSS Peddinti
    International Conference on Unmanned Aerial System in Geomatics, 301-318 , 2021
    2021
    Citations: 3
  • Gis application for the estimation of bioenergy potential from agriculture residues: An overview
    A Bharti, K Paritosh, VR Mandla, A Chawade, V Vivekanand
    Energies 14 (4), 898 , 2021
    2021
    Citations: 52

MOST CITED SCHOLAR PUBLICATIONS

  • Urbanization, energy consumption and emissions in the Indian context A review
    S Franco, VR Mandla, KRM Rao
    Renewable and Sustainable Energy Reviews 71, 898-907 , 2017
    2017
    Citations: 279
  • Comparative study of GCMs, RCMs, downscaling and hydrological models: a review toward future climate change impact estimation
    N Chokkavarapu, VR Mandla
    SN Applied Sciences 1 (12), 1698 , 2019
    2019
    Citations: 145
  • Solid waste collection/transport optimization and vegetation land cover estimation using Geographic Information System (GIS): A case study of a proposed smart-city
    J Lella, VR Mandla, X Zhu
    Sustainable Cities and Society 35, 336-349 , 2017
    2017
    Citations: 125
  • Comparative study of NDVI and SAVI vegetation indices in Anantapur district semi-arid areas
    V Vani, VR Mandla
    Int. J. Civ. Eng. Technol 8 (4), 559-566 , 2017
    2017
    Citations: 120
  • Virtual 3D city modeling: techniques and applications
    SP Singh, K Jain, VR Mandla
    The International Archives of the Photogrammetry, Remote Sensing and Spatial … , 2013
    2013
    Citations: 117
  • Evaluation of atmospheric corrections on hyperspectral data with special reference to mineral mapping
    N Rani, VR Mandla, T Singh
    Geoscience Frontiers 8 (4), 797-808 , 2017
    2017
    Citations: 81
  • Microwave assisted synthesis of guar gum grafted sodium acrylate/cloisite superabsorbent nanocomposites: Reaction parameters and swelling characteristics
    M Likhitha, RRN Sailaja, VS Priyambika, MV Ravibabu
    International Journal of Biological Macromolecules 65, 500-508 , 2014
    2014
    Citations: 62
  • Gis application for the estimation of bioenergy potential from agriculture residues: An overview
    A Bharti, K Paritosh, VR Mandla, A Chawade, V Vivekanand
    Energies 14 (4), 898 , 2021
    2021
    Citations: 52
  • Development of regression equation to study the Total Nitrogen, Total Phosphorus and Suspended Sediment using remote sensing data in Gujarat and Maharashtra coast of India
    MM Mathew, N Srinivasa Rao, VR Mandla
    Journal of coastal conservation 21 (6), 917-927 , 2017
    2017
    Citations: 44
  • Vegetation damage assessment due to Hudhud cyclone based on NDVI using Landsat-8 satellite imagery
    VGRK Konda, VR Chejarla, VR Mandla, V Voleti, N Chokkavarapu
    Arabian Journal of Geosciences 11 (2), 35 , 2018
    2018
    Citations: 40
  • Image based Virtual 3D Campus modeling by using CityEngine
    SP Singh, K Jain, VR Mandla
    American Journal of Engineering Science and Technology Research 2 (1), 01-10 , 2014
    2014
    Citations: 35
  • Evaluation of TanDEMx and SRTM DEM on watershed simulated runoff estimation
    C Nagaveni, KP Kumar, MV Ravibabu
    Journal of Earth System Science 128 (1), 2 , 2019
    2019
    Citations: 31
  • Digital elevation model accuracy aspects
    MV Ravibabu, K Jain
    Journal of Applied Sciences 8 (1), 134-139 , 2008
    2008
    Citations: 31
  • Prediction of rainfall using support vector machine and relevance vector machine
    P Samui, VR Mandla, A Krishna, T Teja
    Earth Science India 4 , 2011
    2011
    Citations: 30
  • Trajectory of urban growth and its socioeconomic impact on a rapidly emerging megacity
    S Franco, VR Mandla, K Ram Mohan Rao
    Journal of Urban Planning and Development 143 (3), 04017002 , 2017
    2017
    Citations: 28
  • Image based 3D city modeling: Comparative study
    SP Singh, K Jain, VR Mandla
    The International Archives of the Photogrammetry, Remote Sensing and Spatial … , 2014
    2014
    Citations: 28
  • Influence of urban areas on environment: Special reference to building materials and temperature anomalies using geospatial technology
    K Raghavan, VR Mandla, S Franco
    Sustainable Cities and Society 19, 349-358 , 2015
    2015
    Citations: 27
  • High-precise true digital orthoimage generation and accuracy assessment based on UAV images
    M Shoab, VK Singh, MV Ravibabu
    Journal of the Indian Society of Remote Sensing 50 (4), 613-622 , 2022
    2022
    Citations: 24
  • Quantification of LST and CO 2 levels using Landsat-8 thermal bands on urban environment
    VR Chejarla, PK Maheshuni, VR Mandla
    Geocarto International 31 (8), 913-926 , 2016
    2016
    Citations: 24
  • Virtual 3D campus modeling by using close range photogrammetry
    SP Singh, K Jain, VR Mandla
    American Journal of Civil Engineering and Architecture 1 (6), 200-205 , 2013
    2013
    Citations: 24