Danya Karimi

Scopus Publications

Geology, Geochemistry and Metallogenic Aspects of the Solid Bitumens: Case Studies from Zagros Fold and Thrust Belt (ZFTB), Iran
Mohsen Rezaei, Hajar Ghafleh Maramazi, Abbas Charchi, Danya Karimi, Mehdi Ostadhassan
Iranian Journal of Science, 2026
Bitumen zoning in Khuzestan Province, southwestern Iran: an integrated approach using remote sensing, spectroscopy, and analytical hierarchy process (AHP)
Danya Karimi, Hajar Ghafleh Maramazi, Mohsen Rezaei, Abbas Charchi
Egyptian Journal of Remote Sensing and Space Science, 2026
Hyperspectral assessment of road pavement condition using machine learning: a comparative study with EnMAP and PRISMA data
Hossein Haghighi, Danya Karimi, Kazem Rangzan, Sajad Zareie, Seyyed Sajeddin Mousavi
International Journal of Remote Sensing, 2026
Spatial analysis of soil quality in agricultural land using machine learning and environmental covariates: A case study of Khuzestan Province
Kazem Rangzan, Zeinab Zaheri Abdehvand, Seyed Roohollah Mousavi, Danya Karimi
Soil and Tillage Research, 2025
The Soil Quality Index (SQI) serves as a comprehensive assessment tool, encompassing various soil properties and providing a holistic measure of soil health and productivity. This study aimed to analyze the spatial variation of SQI at the regional level in the agricultural areas of Khuzestan province, employing a random forest (RF) machine learning (ML) algorithm along with environmental covariates. A total of 811 soil composite samples were collected from depths of 0–25 cm, and the physical and chemical soil properties including total nitrogen (TN), available phosphorus (P av ), exchangeable potassium (K ex ), soil acidity (pH), electrical conductivity (EC), soil organic carbon (SOC), cation exchange capacity (CEC), calcium carbonate equivalent (CCE), exchangeable sodium percentage (ESP), silt, sand, and clay were analyzed in the laboratory. Additionally, remote sensing (RS) data, topographic attributes and climatic factors were used as environmental covariates. Two approaches, the total data set (TDS) and the minimum data set (MDS) were applied, along with linear (L) and non-linear (NL) scoring functions, to assess SQI, resulting in four SQI-IQI outputs (MDS L , MDS NL , TDS L and TDS NL ) and two Nemero Quality Index (NQI) (MDS L , TDS L ). The results demonstrated that the RF algorithm, in conjunction with selected environmental covariates, accurately predicted the SQI map, achieving an R 2 of 0.70 (IQI TDSNL ) and 0.79 (IQI MDSNL ) with low uncertainty. Furthermore, the relative importance emphasizes the significant role of climatic factors in SQI prediction, followed by RS indices. The developed mapping approach for SQ provides a valuable tool for sustainable agricultural development , contributing to food security and facilitating agricultural assessments. • The Soil Quality Index provides a comprehensive assessment of soil properties essential for agricultural applications. • Non-linear scoring method had higher correlation (r = 0.88) compared to linear method. • Climatic factors were major contributors to SQI distribution, while topography had less influence. • RF algorithm with environmental covariates accurately predicted SQI (R 2 =0.70–0.79). • SQI prediction map shows most of the area falls into the high restriction class (IV).
Improved soil fertility mapping for wheat cultivation in the southwest agricultural plain of Iran: integration of comparative modeling techniques and environmental variables
Zeinab Zaheri Abdehvand, Kazem Rangzan, Danya Karimi, Seyed Roohollah Mousavi
Modeling Earth Systems and Environment, 2025
New methodology for improved bathymetry of coastal zones based on spaceborne spectroscopy
D. Karimi, M. Kabolizadeh, K. Rangzan, Z. Zaheri Abdehvand, F. Balouei
International Journal of Environmental Science and Technology, 2025
Spatiotemporal Monitoring of Land Use-Land Cover and Its Relationship with Land Surface Temperature Changes Based on Remote Sensing, GIS, and Deep Learning
Razieh Karimian, Kazem Rangzan, Danya Karimi, Golzar Einali
Journal of the Indian Society of Remote Sensing, 2024
Environmental studies of the Khorramrood River in Iran, based on transformed high-resolution remotely sensed spectroscopic data
Paria Darvishi, Danya Karimi
Egyptian Journal of Remote Sensing and Space Science, 2024
An investigation was conducted on the Khorramrood River in Iran to evaluate pollution levels resulting from human activities. Water samples were collected from eleven stations and analyzed for four parameters: pH, temperature, dissolved oxygen (DO), and nitrate (NO3). Additionally, a biodiversity assessment of macroinvertebrates was conducted to evaluate water quality. Eleven invertebrate families from seven classes were identified, with Chironomidae and Baetidae as the predominant groups, suggesting a significant deterioration in water quality. As the first objective, water quality assessment using macroinvertebrates was done using two diversity indices (Shannon-Wiener and Simpson) and four biotic indices (ASPT, FBI, EPT, and BMWP). The results consistently indicated poor water quality in the river. These findings are consistent with the conclusions drawn from the analysis of physicochemical parameters, which is the second objective, and both confirm inadequate water quality. As a part of the last objective, to map the physicochemical parameters, three scenarios were used. They involved utilizing a transformed high-resolution PRISMA image, a traditional method with Landsat 9 images, and a fusion of Landsat 9 and PRISMA images. The first scenario produced the most accurate results (RMSE = 0.624, 0.942, 0.167, and 0.98 for DO, NO3, pH, and temperature. respectively). Mapping biodiversity indices, another part of the last objective, using the transformed pan-sharpened PRISMA image proved highly reliable. A strong correlation was observed between most indices and the DO (CR = 0.972, −0.496, −0.973, and −0.978 for Simpson, EPT, BMWP, and ASPT, respectively), indicating the significant influence of DO on the river's biological state.
Assessment of soil fertility and nutrient management strategies in calcareous soils of Khuzestan province: a case study using the Nutrient Index Value method
Zeinab Zaheri Abdehvand, Danya Karimi, Kazem Rangzan, Seyed Roohollah Mousavi
Environmental Monitoring and Assessment, 2024
Soil fertility (SF) is a crucial factor that directly impacts the performance and quality of crop production. To investigate the SF status in agricultural lands of winter wheat in Khuzestan province, 811 samples were collected from the soil surface (0–25 cm). Eleven soil properties, i.e., electrical conductivity (EC), soil organic carbon (SOC), total nitrogen (TN), calcium carbonate equivalent (CCE), available phosphorus (P av ), exchangeable potassium (K ex ), iron (Fe), copper (Cu), zinc (Zn), manganese (Mn), and soil pH, were measured in the samples. The Nutrient Index Value (NIV) was calculated based on wheat nutritional requirements. The results indicated that 100%, 93%, and 74% of the study areas for CCE, pH, and EC fell into the low, moderate, and moderate to high NIV classes, respectively. Also, 25% of the area is classified as low fertility (NIV < 1.67), 75% falls under medium fertility (1.67 < NIV value < 2.33), and none in high fertility (NIV value > 2.33). Assessment of the mean wheat yield (AWY) and its comparison with NIV showed that the highest yield was in the Ramhormoz region (5200 kg.ha −1 ), while the lowest yield was in the Hendijan region (3000 kg.ha −1 ) with the lowest EC rate in the study area. Elevated levels of salinity and CCE in soils had the most negative impact on irrigated WY, while P av , TN, and Mn availability showed significant effects on crop production. Therefore, implementing SF management practices is essential for both quantitative and qualitative improvement in irrigated wheat production in Khuzestan province.
Optimized Land Suitability Mapping for Wheat Cultivation by Integrating Fuzzy Hierarchical Analysis and Satellite Images
Kazem Rangzan, Mostafa Kabolizadeh, Zeinab Zaheri Abdehvand, Danya Karimi, Alireza Jafarnejadi, Marzieh Mokarram
Journal of the Indian Society of Remote Sensing, 2024
Assessing the potential of Sentinel-2 imagery and spectroscopy for determining the origin of ancient artifacts in Khuzestan, Iran
Kazem Rangzan, Mostafa Kabolizadeh, Seyyed Sajeddin Mousavi, Danya Karimi, Atefeh Rashnoei
Egyptian Journal of Remote Sensing and Space Science, 2023
The capability of Sentinel-2 image and FieldSpec3 for detecting lithium-containing minerals in central Iran
Kazem Rangzan, Mostafa Kabolizadeh, Sajad Zareie, Adel Saki, Danya Karimi
Frontiers of Earth Science, 2022
Optimized water depth retrieval using satellite imageries based on novel algorithms
Kazem Rangzan, Mostafa Kabolizadeh, Danya Karimi
Earth Science Informatics, 2022
Improved water quality mapping based on cross-fusion of Sentinel-2 and Landsat-8 imageries
Kazem Rangzan, Mostafa Kabolizadeh, Danya Karimi
Iet Image Processing, 2020
Supervised cross-fusion method: a new triplet approach to fuse thermal, radar, and optical satellite data for land use classification
Kazem Rangzan, Mostafa Kabolizadeh, Danya Karimi, Sajad Zareie
Environmental Monitoring and Assessment, 2019
Effective supervised multiple-feature learning for fused radar and optical data classification
Danya karimi, Gholamreza Akbarizadeh, Kazem Rangzan, Mostafa Kabolizadeh
Iet Radar Sonar and Navigation, 2017
Combined algorithm for improvement of fused radar and optical data classification accuracy
Danya Karimi, Kazem Rangzan, Gholamreza Akbarizadeh, Mostafa Kabolizadeh
Journal of Electronic Imaging, 2017
A new method to improve classification accuracy of fused RADAR and optical data
Danya Karimi, Kazem Rangzan, Gholamreza Akbarizadeh, Mostafa Kabolizadeh
2016 6th International Conference on Computer and Knowledge Engineering Iccke 2016, 2016

RECENT SCHOLAR PUBLICATIONS

Geochemical evaluation of petroleum fluids: implications for bitumen genesis and trace elements concentration
M Rezaei, H Ghafleh Maramazi, G Bozkaya, D Karimi, A Charchi, H Abiri
Advanced Applied Geology , 2026
2026
Hyperspectral assessment of road pavement condition using machine learning: a comparative study with EnMAP and PRISMA data
H Haghighi, D Karimi, K Rangzan, S Zareie, SS Mousavi
International Journal of Remote Sensing 47 (9), 3746-3779 , 2026
2026
Bitumen zoning in Khuzestan Province, southwestern Iran: an integrated approach using remote sensing, spectroscopy, and analytical hierarchy process (AHP)
D Karimi, HG Maramazi, M Rezaei, A Charchi
The Egyptian Journal of Remote Sensing and Space Sciences 29 (1), 86-103 , 2026
2026
Citations: 1
Geology, Geochemistry and Metallogenic Aspects of the Solid Bitumens: Case Studies from Zagros Fold and Thrust Belt (ZFTB), Iran
M Rezaei, HG Maramazi, A Charchi, D Karimi, M Ostadhassan
Iranian Journal of Science, 1-13 , 2025
2025
Improved soil fertility mapping for wheat cultivation in the southwest agricultural plain of Iran: integration of comparative modeling techniques and environmental variables
Z Zaheri Abdehvand, K Rangzan, D Karimi, SR Mousavi
Modeling Earth Systems and Environment 11 (5), 371 , 2025
2025
Citations: 1
Spatial analysis of soil quality in agricultural land using machine learning and environmental covariates: A case study of Khuzestan Province
K Rangzan, ZZ Abdehvand, SR Mousavi, D Karimi
Soil and Tillage Research 252, 106591 , 2025
2025
Citations: 7
Assessment of Heavy Metal Contamination in the Sediments of Karun River Using Satellite Images and Geochemical Analysis
D Karimi, F Rastmanesh, F Nakhili Nezhad
Advanced Applied Geology 15 (3), 205-221 , 2025
2025
New methodology for improved bathymetry of coastal zones based on spaceborne spectroscopy
D Karimi, M Kabolizadeh, K Rangzan, Z Zaheri Abdehvand, F Balouei
International Journal of Environmental Science and Technology 22 (5), 3359-3378 , 2025
2025
Citations: 5
Spatiotemporal monitoring of land use-land cover and its relationship with land surface temperature changes based on remote sensing, GIS, and deep learning
R Karimian, K Rangzan, D Karimi, G Einali
Journal of the Indian Society of Remote Sensing 52 (11), 2461-2481 , 2024
2024
Citations: 10
Environmental studies of the Khorramrood River in Iran, based on transformed high-resolution remotely sensed spectroscopic data
P Darvishi, D Karimi
The Egyptian Journal of Remote Sensing and Space Sciences 27 (2), 298-316 , 2024
2024
Citations: 3
Assessment of soil fertility and nutrient management strategies in calcareous soils of Khuzestan province: a case study using the Nutrient Index Value method
Z Zaheri Abdehvand, D Karimi, K Rangzan, SR Mousavi
Environmental Monitoring and Assessment 196 (6), 503 , 2024
2024
Citations: 28
Optimized land suitability mapping for wheat cultivation by integrating fuzzy hierarchical analysis and satellite images
K Rangzan, M Kabolizadeh, Z Zaheri Abdehvand, D Karimi, A Jafarnejadi, ...
Journal of the Indian Society of Remote Sensing 52 (5), 1135-1151 , 2024
2024
Citations: 8
Analyzing the performance of Landsat-8, Sentinel-2 satellite and fusion of their images for detection and evaluation of wheat yellow rust (case study-south-west of Khuzestan)
S Zareie, K Rangzan, D Karimi, S Moradi
ADVANCED APPLIED GEOLOGY 14 (2), 426-450 , 2024
2024
Assessing the potential of Sentinel-2 imagery and spectroscopy for determining the origin of ancient artifacts in Khuzestan, Iran
K Rangzan, M Kabolizadeh, SS Mousavi, D Karimi, A Rashnoei
The Egyptian Journal of Remote Sensing and Space Sciences 26 (3), 455-476 , 2023
2023
Citations: 4
Coastal areas bathymetry based on new hybrid methods and fusion methods of Sentinel-2 and Landsat 8 satellite images
K Rangzan, M Kabolizadeh, D Karimi
Geographic Space 22 (79), 67-86 , 2022
2022
The capability of Sentinel-2 image and FieldSpec3 for detecting lithium-containing minerals in central Iran
K Rangzan, M Kabolizadeh, S Zareie, A Saki, D Karimi
Frontiers of Earth Science 16 (3), 678-695 , 2022
2022
Citations: 4
Optimized water depth retrieval using satellite imageries based on novel algorithms
K Rangzan, M Kabolizadeh, D Karimi
Earth Science Informatics 15 (1), 37-55 , 2022
2022
Citations: 8
Evaluation of Sentinel-2 and Landsat-8 Satellite images capability and evaluation of image fusion capability in seasonal zoning of NSFWQI and IRWQIsc qualitative indices in …
K Rangzan, M Kabolizadeh, D Karimi
Geography and Environmental Planning 31 (1), 73-102 , 2020
2020
Citations: 5
Improved water quality mapping based on cross‐fusion of Sentinel‐2 and Landsat‐8 imageries
K Rangzan, M Kabolizadeh, D Karimi
IET Image Processing 14 (7), 1382-1392 , 2020
2020
Citations: 12
Supervised cross-fusion method: a new triplet approach to fuse thermal, radar, and optical satellite data for land use classification
K Rangzan, M Kabolizadeh, D Karimi, S Zareie
Environmental monitoring and assessment 191 (8), 481 , 2019
2019
Citations: 24

MOST CITED SCHOLAR PUBLICATIONS

Effective Supervised Multiple-Feature Learning for Fused Radar and Optical Data Classification
D Karimi, G Akbarizadeh, K Rangzan, M Kabolizadeh
IET Radar, Sonar & Navigation 11 (5), 768-777 , 2017
2017
Citations: 57
Assessment of soil fertility and nutrient management strategies in calcareous soils of Khuzestan province: a case study using the Nutrient Index Value method
Z Zaheri Abdehvand, D Karimi, K Rangzan, SR Mousavi
Environmental Monitoring and Assessment 196 (6), 503 , 2024
2024
Citations: 28
Supervised cross-fusion method: a new triplet approach to fuse thermal, radar, and optical satellite data for land use classification
K Rangzan, M Kabolizadeh, D Karimi, S Zareie
Environmental monitoring and assessment 191 (8), 481 , 2019
2019
Citations: 24
Combined algorithm for improvement of fused radar and optical data classification accuracy
D Karimi, K Rangzan, G Akbarizadeh, M Kabolizadeh
Journal of Electronic Imaging 26 (1), 013017-013017 , 2017
2017
Citations: 17
Improved water quality mapping based on cross‐fusion of Sentinel‐2 and Landsat‐8 imageries
K Rangzan, M Kabolizadeh, D Karimi
IET Image Processing 14 (7), 1382-1392 , 2020
2020
Citations: 12
Spatiotemporal monitoring of land use-land cover and its relationship with land surface temperature changes based on remote sensing, GIS, and deep learning
R Karimian, K Rangzan, D Karimi, G Einali
Journal of the Indian Society of Remote Sensing 52 (11), 2461-2481 , 2024
2024
Citations: 10
Optimized land suitability mapping for wheat cultivation by integrating fuzzy hierarchical analysis and satellite images
K Rangzan, M Kabolizadeh, Z Zaheri Abdehvand, D Karimi, A Jafarnejadi, ...
Journal of the Indian Society of Remote Sensing 52 (5), 1135-1151 , 2024
2024
Citations: 8
Optimized water depth retrieval using satellite imageries based on novel algorithms
K Rangzan, M Kabolizadeh, D Karimi
Earth Science Informatics 15 (1), 37-55 , 2022
2022
Citations: 8
Spatial analysis of soil quality in agricultural land using machine learning and environmental covariates: A case study of Khuzestan Province
K Rangzan, ZZ Abdehvand, SR Mousavi, D Karimi
Soil and Tillage Research 252, 106591 , 2025
2025
Citations: 7
New methodology for improved bathymetry of coastal zones based on spaceborne spectroscopy
D Karimi, M Kabolizadeh, K Rangzan, Z Zaheri Abdehvand, F Balouei
International Journal of Environmental Science and Technology 22 (5), 3359-3378 , 2025
2025
Citations: 5
Evaluation of Sentinel-2 and Landsat-8 Satellite images capability and evaluation of image fusion capability in seasonal zoning of NSFWQI and IRWQIsc qualitative indices in …
K Rangzan, M Kabolizadeh, D Karimi
Geography and Environmental Planning 31 (1), 73-102 , 2020
2020
Citations: 5
Assessing the potential of Sentinel-2 imagery and spectroscopy for determining the origin of ancient artifacts in Khuzestan, Iran
K Rangzan, M Kabolizadeh, SS Mousavi, D Karimi, A Rashnoei
The Egyptian Journal of Remote Sensing and Space Sciences 26 (3), 455-476 , 2023
2023
Citations: 4
The capability of Sentinel-2 image and FieldSpec3 for detecting lithium-containing minerals in central Iran
K Rangzan, M Kabolizadeh, S Zareie, A Saki, D Karimi
Frontiers of Earth Science 16 (3), 678-695 , 2022
2022
Citations: 4
Environmental studies of the Khorramrood River in Iran, based on transformed high-resolution remotely sensed spectroscopic data
P Darvishi, D Karimi
The Egyptian Journal of Remote Sensing and Space Sciences 27 (2), 298-316 , 2024
2024
Citations: 3
Bitumen zoning in Khuzestan Province, southwestern Iran: an integrated approach using remote sensing, spectroscopy, and analytical hierarchy process (AHP)
D Karimi, HG Maramazi, M Rezaei, A Charchi
The Egyptian Journal of Remote Sensing and Space Sciences 29 (1), 86-103 , 2026
2026
Citations: 1
Improved soil fertility mapping for wheat cultivation in the southwest agricultural plain of Iran: integration of comparative modeling techniques and environmental variables
Z Zaheri Abdehvand, K Rangzan, D Karimi, SR Mousavi
Modeling Earth Systems and Environment 11 (5), 371 , 2025
2025
Citations: 1
A new method to improve classification accuracy of fused RADAR and optical data
D Karimi, K Rangzan, G Akbarizadeh, M Kabolizadeh
2016 6th International Conference on Computer and Knowledge Engineering … , 2016
2016
Citations: 1
Geochemical evaluation of petroleum fluids: implications for bitumen genesis and trace elements concentration
M Rezaei, H Ghafleh Maramazi, G Bozkaya, D Karimi, A Charchi, H Abiri
Advanced Applied Geology , 2026
2026
Hyperspectral assessment of road pavement condition using machine learning: a comparative study with EnMAP and PRISMA data
H Haghighi, D Karimi, K Rangzan, S Zareie, SS Mousavi
International Journal of Remote Sensing 47 (9), 3746-3779 , 2026
2026
Geology, Geochemistry and Metallogenic Aspects of the Solid Bitumens: Case Studies from Zagros Fold and Thrust Belt (ZFTB), Iran
M Rezaei, HG Maramazi, A Charchi, D Karimi, M Ostadhassan
Iranian Journal of Science, 1-13 , 2025
2025

Danya Karimi

EDUCATION

RESEARCH, TEACHING, or OTHER INTERESTS

Scopus Publications

RECENT SCHOLAR PUBLICATIONS

MOST CITED SCHOLAR PUBLICATIONS