saidur Rahaman

@nbu.ac.in

Research Scholar in Department of Geography and Applied Geography
University of North Bengal

saidur Rahaman


                        Download Compact PDF  
https://researchid.co/rs_saidur
Saidur Rahaman currently works as a senior Research Fellow in the Department of Geography & Applied Geography, University of North Bengal, West Bengal. His areas of research interest are Pedology, Agricultural Geography, GIS and Remote sensing.

EDUCATION

Ph.D. Scholar

RESEARCH, TEACHING, or OTHER INTERESTS

Geography, Planning and Development, Earth-Surface Processes, Soil Science, Environmental Science
2

Scopus Publications

14

Scholar Citations

3

Scholar h-index

Scopus Publications

  • Spatio-Temporal Variability of Rainfall and Trend Analysis Using Non-Parametric Statistical Methods of Jaldhaka-Torsa Interfluve in sub-Himalayan North Bengal, India
    Saidur Rahaman, Snehasish Saha
    International Journal of Climatology, 2026
    The Jaldhaka‐Torsa interfluve in the sub‐Himalayan region of North Bengal, India, is an agriculturally significant zone with a tropical humid climate and high dependency on monsoonal rainfall. This study investigates the spatio‐temporal variability and long‐term trends in rainfall over the period 1901–2023 because documenting the rainfall regime is the soul of agriculture and which makes the need of the work, using data from 15 IMD stations. Statistical measures such as mean, standard deviation, coefficient of variation (CV), skewness, kurtosis, and the Standardised Anomaly Index (SAI) were applied to evaluate rainfall variability. Robust data integrity checks, including normality, homogeneity, and serial correlation tests, were performed to validate the dataset prior to analysis. While Mann‐Kendall and Spearman's rho tests assessed trends, with Sen's slope quantifying trend magnitudes. Pettitt and Buishand U tests were used to identify change points. Results indicate an average annual rainfall of 3769.27 mm, with a CV ranging from 21.37% to 42.3%, reflecting significant spatial variability. The monsoon season accounts for the majority of annual rainfall and exhibits statistically significant increasing trends at several stations, especially after the identified change points (1950s–1990s). In contrast, post‐monsoon rainfall shows a widespread declining trend, while monsoon and winter seasons reveal weak, mostly insignificant increases. Monthly trend analysis highlights significant increases during May, June, and August at key stations, particularly Station E, whereas Stations M, I, and A show decreasing trends. The findings revealed increasing monsoonal variability and shifts in rainfall trends, particularly during the monsoon and post‐monsoon seasons, with implications for water resource planning, rain‐fed agriculture, and regional climate adaptation. These insights support the development of climate‐resilient strategies and interfluve‐based planning models in monsoon‐dependent regions.
  • Prediction of deforestation risk in north-east India: evaluating forest canopy density dynamics and spatial drivers through machine learning models
    Sandipan Das, Debarshi Ghosh, Apurba Sarkar, Uday Chatterjee, Sanjoy Mandal, Sujoy Kumar Malo, Saidur Rahaman, Mantu Das, Snehasish Saha, Pradip Chouhan
    Environmental Sciences Europe, 2025
    Rapid population growth in North-East India has led to urban sprawl, agricultural expansion, and industrialization, resulting in significant deforestation. Numerous studies have utilized Forest Canopy Density (FCD) coupled with remote sensing and GIS to assess forest cover changes. This study evaluates how FCD changed from 2000 to 2020, highlighting deforestation patterns in North-East India. Machine learning models, including Binary Logistic Regression (BLR), Random Forest (RF), REP-Tree, and XGBoost Regression (XGBR), were used to identify areas at risk of deforestation. Influencing factors considered were forest density, barren land, agricultural land, urban areas, distance to roads, and topographical characteristics. Results indicated that proximity to roads notably increases deforestation risk. Higher densities of agricultural and urban land also contribute to greater deforestation rates, whereas increased forest and barren land densities reduce this risk. Among the tested models, Random Forest showed superior performance with a high True Positive Rate (TPR) and low False Positive Rate (FPR), effectively identifying high-risk deforestation zones. Analysis also revealed a concerning shift from high-density to low-density forests, signifying substantial forest cover loss and potential threats to biodiversity and ecosystem services. The findings emphasize the need for integrated land-use planning and targeted conservation, specifically addressing road proximity, to effectively combat deforestation in North-East India and similar regions.

RECENT SCHOLAR PUBLICATIONS

  • Spatio‐Temporal Variability of Rainfall and Trend Analysis Using Non‐Parametric Statistical Methods of Jaldhaka‐Torsa Interfluve in sub‐Himalayan North Bengal, India
    S Rahaman, S Saha
    International Journal of Climatology, e70288 , 2026
    2026
  • GIS-Based Analysis of Site Suitability for Potential Agricultural Land Using MCDM Approach in the District of Uttar Dinajpur, West Bengal, India
    S Rahaman, SK Malo, M Das, K Chakraborty, S Saha
    Hill geographer 41 (Special Issue), 256-292 , 2026
    2026
  • Prediction of deforestation risk in north-east India: evaluating forest canopy density dynamics and spatial drivers through machine learning models
    S Das, D Ghosh, A Sarkar, U Chatterjee, S Mandal, SK Malo, S Rahaman, ...
    Environmental Sciences Europe 37 (1), 194 , 2025
    2025
    Citations: 5
  • Deciphering bed-load characteristics of the fluvially dynamic Balason River in Darjeeling of the Sub-Himalayan foreland, India
    M Das, K Chakraborty, S Rahaman, SK Malo, S Saha
    Journal of Sedimentary Environments 10 (3), 541-565 , 2025
    2025
    Citations: 1
  • Physico-Chemical Properties of Soil and Their Implications for Agriculture in Jalpaiguri Sadar Block, West Bengal, India
    S Rahaman, S Saha
    Geographical Thoughts 23 (March-2025), 57-85 , 2025
    2025
  • Assessment of Soil Fertility and Land Productivity Based on Pedogeomorphology using Geoinformatic Techniques in the Jaldhaka-Dudua Interfluve of Dooars, West Bengal, India
    S Rahaman, S Saha
    International Journal of All Research Education and Scientific Methods … , 2024
    2024
  • Spatio-Temporal Variability, Trend Analysis, and Change Point Detection of Rainfall in the Sub-Himalayan Region of Darjeeling District, India
    D Mandal, S Rahaman, M Das, R Sarkar, SK Malo, S Saha
    Geographical Thoughts 22 (Dec-2024), 46-63 , 2024
    2024
  • Assessment of soil fertility status using soil nutrient index (SNI) With special reference to pH, SOC, EC, N, P, K and S of Jabalpur block in Jabalpur district, MP, India
    SK Malo, S Rahaman, S Saha
    RESEARCH REVIEW International Journal of Multidisciplinary 8 (12), 114-126 , 2023
    2023
    Citations: 3
  • Estimation of surface soil erosion using the RUSLE Model of Jalpaiguri Sadar Block in Jalpaiguri District, West Bengal, India
    S Rahaman, SK Malo, S Saha
    RESEARCH REVIEW International Journal of Multidisciplinary 8 (6), 84-98 , 2023
    2023
    Citations: 2
  • Delineation of Groundwater Potential Zones Using Analytic Hierarchy Process (AHP) Technique in Balason River Basin of West Bengal, India
    S Rahaman, M Das, S Saha
    Riverine environment and its dynamics: Challenges, issues and sustainable … , 2022
    2022
    Citations: 3
  • Active Death Cases and Recovery Rates of the COVID-19 Pandemic: A Comparative Study of Developed, Developing, and Least Developed Countries of the World
    S Rahaman, S Saha, T Mandal, K Chakraborty
    Environmental Management 1, 43-60 , 2022
    2022

MOST CITED SCHOLAR PUBLICATIONS

  • Prediction of deforestation risk in north-east India: evaluating forest canopy density dynamics and spatial drivers through machine learning models
    S Das, D Ghosh, A Sarkar, U Chatterjee, S Mandal, SK Malo, S Rahaman, ...
    Environmental Sciences Europe 37 (1), 194 , 2025
    2025
    Citations: 5
  • Assessment of soil fertility status using soil nutrient index (SNI) With special reference to pH, SOC, EC, N, P, K and S of Jabalpur block in Jabalpur district, MP, India
    SK Malo, S Rahaman, S Saha
    RESEARCH REVIEW International Journal of Multidisciplinary 8 (12), 114-126 , 2023
    2023
    Citations: 3
  • Delineation of Groundwater Potential Zones Using Analytic Hierarchy Process (AHP) Technique in Balason River Basin of West Bengal, India
    S Rahaman, M Das, S Saha
    Riverine environment and its dynamics: Challenges, issues and sustainable … , 2022
    2022
    Citations: 3
  • Estimation of surface soil erosion using the RUSLE Model of Jalpaiguri Sadar Block in Jalpaiguri District, West Bengal, India
    S Rahaman, SK Malo, S Saha
    RESEARCH REVIEW International Journal of Multidisciplinary 8 (6), 84-98 , 2023
    2023
    Citations: 2
  • Deciphering bed-load characteristics of the fluvially dynamic Balason River in Darjeeling of the Sub-Himalayan foreland, India
    M Das, K Chakraborty, S Rahaman, SK Malo, S Saha
    Journal of Sedimentary Environments 10 (3), 541-565 , 2025
    2025
    Citations: 1
  • Spatio‐Temporal Variability of Rainfall and Trend Analysis Using Non‐Parametric Statistical Methods of Jaldhaka‐Torsa Interfluve in sub‐Himalayan North Bengal, India
    S Rahaman, S Saha
    International Journal of Climatology, e70288 , 2026
    2026
  • GIS-Based Analysis of Site Suitability for Potential Agricultural Land Using MCDM Approach in the District of Uttar Dinajpur, West Bengal, India
    S Rahaman, SK Malo, M Das, K Chakraborty, S Saha
    Hill geographer 41 (Special Issue), 256-292 , 2026
    2026
  • Physico-Chemical Properties of Soil and Their Implications for Agriculture in Jalpaiguri Sadar Block, West Bengal, India
    S Rahaman, S Saha
    Geographical Thoughts 23 (March-2025), 57-85 , 2025
    2025
  • Assessment of Soil Fertility and Land Productivity Based on Pedogeomorphology using Geoinformatic Techniques in the Jaldhaka-Dudua Interfluve of Dooars, West Bengal, India
    S Rahaman, S Saha
    International Journal of All Research Education and Scientific Methods … , 2024
    2024
  • Spatio-Temporal Variability, Trend Analysis, and Change Point Detection of Rainfall in the Sub-Himalayan Region of Darjeeling District, India
    D Mandal, S Rahaman, M Das, R Sarkar, SK Malo, S Saha
    Geographical Thoughts 22 (Dec-2024), 46-63 , 2024
    2024
  • Active Death Cases and Recovery Rates of the COVID-19 Pandemic: A Comparative Study of Developed, Developing, and Least Developed Countries of the World
    S Rahaman, S Saha, T Mandal, K Chakraborty
    Environmental Management 1, 43-60 , 2022
    2022