Author

Haroon Sajjad

Department of Geography, Jamia Millia Islamia, New Delhi, India - Cited by 2,552 - Environmental Management - Sustainable Development and Watershed Management

Biography

Haroon Sajjad is Professor in the Department of Geography, Faculty of Natural Sciences, Jamia Millia Islamia, New Delhi. He obtained his B.Sc, M.Sc, M. Phil and Ph. D degrees all from Aligarh Muslim University, Aligarh.
Title
Cited by
Year
Assessing socio-economic vulnerability to climate change-induced disasters: evidence from Sundarban Biosphere Reserve, India
M Sahana, S Rehman, AK Paul, H SajjadGeology, Ecology, and Landscapes 5 (1), 40-52, 2021202
66
2021
Land suitability assessment for optimal cropping sequences in Katihar district of Bihar, India using GIS and AHP
VP Mandal, S Rehman, R Ahmed, MD Masroor, P Kumar, H SajjadSpatial Information Research 28, 589-599, 2020202
42
2020
Exploring climate variability and its impact on drought occurrence: Evidence from Godavari Middle sub-basin, India
M Masroor, S Rehman, R Avtar, M Sahana, R Ahmed, H SajjadWeather and climate extremes 30, 100277, 2020202
42
2020
Assessing the impact of drought conditions on groundwater potential in Godavari Middle Sub-Basin, India using analytical hierarchy process and random forest machine learning …
M Masroor, S Rehman, H Sajjad, MH Rahaman, M Sahana, R Ahmed, ...Groundwater for sustainable development 13, 100554, 2021202
31
2021
Analyzing climate variability and its effects in Sundarban Biosphere Reserve, India: reaffirmation from local communities
M Sahana, S Rehman, R Ahmed, H SajjadEnvironment, Development and Sustainability 23, 2465-2492, 2021202
28
2021
Ensemble machine learning models based on Reduced Error Pruning Tree for prediction of rainfall-induced landslides
BT Pham, A Jaafari, T Nguyen-Thoi, T Van Phong, HD Nguyen, N Satyam, ...International Journal of Digital Earth 14 (5), 575-596, 2021202
27
2021
Analysing the relationship between drought and soil erosion using vegetation health index and RUSLE models in Godavari middle sub-basin, India
M Masroor, H Sajjad, S Rehman, R Singh, MH Rahaman, M Sahana, ...Geoscience Frontiers 13 (2), 101312, 2022202
27
2022
26
2021
Deep learning versus gradient boosting machine for pan evaporation prediction
A Malik, MK Saggi, S Rehman, H Sajjad, S Inyurt, AS Bhatia, ...Engineering Applications of Computational Fluid Mechanics 16 (1), 570-587, 2022202
21
2022
Predicting impact of climate change on geographical distribution of major NTFP species in the Central India Region
S Yadav, P Bhattacharya, G Areendran, M Sahana, K Raj, H SajjadModeling Earth Systems and Environment, 1-20, 2021202
16
2021
Assessing flood-induced ecological vulnerability and risk using GIS-based in situ measurements in Bhagirathi sub-basin, India
S Rehman, MSU Hasan, AK Rai, R Avtar, H SajjadArabian Journal of Geosciences 14, 1-17, 2021202
16
2021
Forest vulnerability to climate change: A review for future research framework
Roshani, H Sajjad, P Kumar, M Masroor, MH Rahaman, S Rehman, ...Forests 13 (6), 917, 2022202
12
2022
11
2022
Assessing Wetland ecosystem health in Sundarban Biosphere Reserve using pressure-state-response model and geospatial techniques
M Sahana, M Saini, G Areendran, K Imdad, K Sarma, H SajjadRemote Sensing Applications: Society and Environment 26, 100754, 2022202
11
2022
10
2022
Assessment of evidence-based climate variability in Bhagirathi sub-basin of India: a geostatistical analysis
S Rehman, H Sajjad, M Masroor, MH Rahaman, Roshani, R Ahmed, ...Acta Geophysica 70 (1), 445-463, 2022202
9
2022
Assessing forest health using geographical information system based analytical hierarchy process: evidences from southern West Bengal, India
S Dutta, S Rehman, M Sahana, H SajjadSpatial Modeling in Forest Resources Management: Rural Livelihood and …, 2021202
8
2021
Analyzing seasonal variation in the vegetation cover using NDVI and rainfall in the dry deciduous forest region of Eastern India
S Dutta, S Rehman, S Chatterjee, H SajjadForest Resources Resilience and Conflicts, 33-48, 2021202
7
2021
Soil erosion susceptibility mapping using ensemble machine learning models: A case study of upper Congo river sub-basin
LC Kulimushi, JB Bashagaluke, P Prasad, AB Heri-Kazi, NL Kushwaha, ...Catena 222, 106858, 2023202
7
2023