Saha, A., Gupta, B. S., Patidar, S., Hernández-Martínez, J. L., Martín-Romero, F., Meza-Figueroa, D., & Martínez-Villegas, N. (2024). A comprehensive study of source apportionment, spatial distribution, and health risks assessment of heavy metal (loid) s in the surface soils of a semi-arid mining region in Matehuala, Mexico. Environmental Research, 260, 119619. Doi: 10.1016/j.envres.2024.119619
Saha, A., Gupta, B. S., Patidar, S., & Martínez-Villegas, N. (2024). Contamination risk assessment and distribution of rare trace metal (loid) s in surface soil of Cerrito Blanco, Mexico using various contamination indices. Total Environment Advances, Elsevier, 9, 200086. Doi: 10.1016/j.teadva.2023.200086
Saini, D. S., Mithuna, R., Gupta, B. S., Saha, A., & Das, B. (2025). Land Use/Cover Dynamics and Associated Impacts on Eutrophication, Land Surface Temperature, and Ecosystem Service Values: An Eco-Climatological Investigation of Chilika Lake, India. Estuaries and Coasts, Springer, 48(3): 84. Doi: 10.1007/s12237-025-01509-0
Saha, A., Gupta, B. S., Patidar, S., and Martínez-Villegas, N. (2023). Optimal GIS Interpolation Techniques and Multivariate Statistical Approach to Study the Soil-Trace Metal (loid)s Distribution Patterns in the Agricultural Surface Soil of Matehuala, Mexico. Journal of Hazardous Materials Advances, Elsevier, 9, 100243. Doi: 10.1016/j.hazadv.2023.100243
Saha, A., Gupta, B. S., Patidar, S., and Martínez-Villegas, N. (2024). Source Apportionment of Heavy Metal(loid)s in the Surface Soils of Cerrito Blanco, Mexico: A Comparative Study of Three Receptor Models (APCS-MLR, PMF and UNMIX Model). Springer publishing, 8, 137-168. Doi: 10.1007/978-981-97-4764-1_8
Patil, M., Saha, A., Pingale, S.M., Rathore, D.S. and Goyal, V.C., (2023). Identification of potential zones on the estimation of direct runoff and soil erosion for an ungauged watershed based on remote sensing and GIS techniques, International Journal of Engineering and Geosciences, Dergi Park publisher, 8(3), 224-238. Doi: 10.26833/ijeg.1115608
Saha, A., Gupta, B. S., Patidar, S., and Martínez-Villegas, N. (2022). Spatial distribution and source identification of metal contaminants in the surface soil of Matehuala, Mexico based on positive matrix factorization model and GIS techniques. Frontiers in Soil Science, 2. Doi: 10.3389/fsoil.2022.1041377
Saha, A., Gupta, B. S., Patidar, S., and Martínez-Villegas, N., (2022). Spatial distribution based on optimal interpolation techniques and assessment of contamination risk for toxic metals in the surface soil. Journal of South American Earth Sciences, Elsevier, 115, 103763. Doi: 10.1016/j.jsames.2022.103763
Saha, A., Sen Gupta, B., Patidar, S., and Martínez-Villegas, N., (2022). Identification of Soil Arsenic Contamination in Rice Paddy Field Based on Hyperspectral Reflectance Approach. Soil Systems, MDPI, 6(1), 30. Doi: 10.3390/soilsystems6010030
Gupta, K., Saha, A., and Sen Gupta, B. (2022). Spatio-temporal distribution of pollutant trace gases (CO, CH4, O3 and NO2) in India: an observational study. Geology, Ecology, and Landscapes, Taylor and Francis, 1-21. Doi: 10.1080/24749508.2022.2132706
Saha, A., Gupta, B. S., Patidar, S., and Martínez-Villegas, N. (2022). Evaluation of Potential Ecological Risk Index of Toxic Metals Contamination in the Soils. Chemistry Proceedings, MDPI, 10(1), 59. Doi: 10.3390/IOCAG2022-12214
Saha, A. (2021). Alarming Situation in India due to Second Wave of COVID-19. Academia Letters, Article 1391. Doi: 10.20935/AL1391
Patil, M., Patel, R., and Saha, A. (2021). Sediment Yield and Soil Loss Estimation Using GIS Based Soil Erosion Model: A Case Study in the MAN Catchment, Madhya Pradesh, India. Environmental Sciences Proceedings, MDPI, 8(1), 26. Doi: 10.3390/ecas2021-10348
Saha, A., Gupta, K., Patil, M., and Urvashi, (2020). Monitoring and Epidemiological Trends of Coronavirus Disease (COVID-19) Around the World. Matrix Sci Med, 4(4): 121-126. Doi: 10.4103/MTSM.MTSM_16_20
Gupta, K. and Saha, A., (2020). A Study of Annual and Seasonal Variations in Tropospheric Ozone (O3) Concentrations over India. Preprints 2020, MDPI, 2020040188, Doi: 10.20944/preprints202004.0188.v1
Saha, A., Garg, P.K., and Patil, M., (2019). The Effect of Contaminated Snow Reflectance using Hyperspectral Remote Sensing - A Review, International Journal of Image and Data Fusion, Taylor and Francis,10(2): 1-24, Doi: 10.1080/19479832.2019.1582561
Saha, A., Patil, M., Goyal, V.C. and Rathore, D.S., (2019). Assessment and Impact of Soil Moisture Index in Agricultural Drought Estimation using Remote Sensing and GIS Techniques, Proceedings, MDPI, 7(2): 1-8, Doi: 10.3390/ECWS-3-05802
Patil, M., Saha, A., Karwariya, S., Pingale, S.M., Goyal, V.C., Rathore, D.S. and Behera, N., (2019). Assessment of Rainfall Recharge using rainfall infiltration factor method and compare with empirical equations, Discovery Nature, 13(1): 1-8.
Saha, A., Patil, M., Karwariya, S., Azmi, S., Goyal, V.C. and Rathore, D.S., (2018). Identification of Potential Sites for Water Harvesting Structures using Geospatial Techniques and Multi-Criteria Decision Analysis, proceeding in ISPRS TCV Midterm Symposium 2018, Nov 2018. Doi: 10.5194/isprs-archives-XLII-5-329-2018
Saha, A., Saha, J., Ray, R., Sircar, S., Dutta, S., Chattopadhyay, S. P., & Saha, H. N. (2018). IOT-based drone for improvement of crop quality in agricultural field. In 2018 IEEE 8th Annual Computing and Communication Workshop and Conference (CCWC) (pp. 612-615). IEEE. Doi: 10.1109/CCWC.2018.8301662
Saha, A., (2018). Snow Grain Size Mapping using Hyperspectral Remote Sensing Data, LAP Lambert Academic Publishing, 1-69, 2018. https://www.amazon.com/Grain-Mapping-Hyperspectral-RemoteSensing/dp/6137321975
Saha, A., Tomar, S., Rana, A., Tripathy, A. and Singh, A., (2017). Groundwater Potential Zone Identification using Remote Sensing and GIS Techniques - A Case Study of Karwi Block Area, Uttar Pradesh, India, IOSR Journal of Applied Geology and Geophysics, 5(5): 43-51, Doi: 10.9790/0837-0505024351
Saha, A., Thakur, P.K. and Chouksey, A., (2017). Hydrological Simulation Using Process Based and Empirical Models for Flood Peak Estimation, International Journal of Advanced Remote Sensing and GIS, 6(1): 2253-2266, 2017. Doi: 10.23953/cloud.ijarsg.287
Saha, A. and Singh, P., (2017). Drainage Morphometric Analysis and Water Resource Management of Hindon River Basin, using Earth Observation Data Sets, Imperial Journal of Interdisciplinary Research, 3(4): 2051-2057.
Singh, P., Saha, A., and Rai, P.K., Effectiveness of Quantitative Morphometric Analysis of Drainage Basin based on Earth Observation Data, Arabian Journal of Geosciences, Springer. (Reviewing Process)
Publications
Conference Papers
Saha, A., Gupta, B. S., Patidar, S., and Martínez-Villegas, N. Contamination Risk Assessment and Distribution of Rare Trace Metal(loid)s in Surface Soil of Cerrito Blanco, Mexico using Contamination Indices. In Presented at the 2nd International Electronic Conference on Processes: Process Engineering—Current State and Future Trends, 2023.
Saha, A., Gupta, B. S., Patidar, S., and Martínez-Villegas, N. Assessment of Contamination Risks and Spatial Distribution Patterns of Arsenic and other Heavy Metals in the Surface Soil. In Presented at the 5th Regional Science and Technology Congress, 2023 (ES-13462347).
Saha, A., Gupta, B. S., Patidar, S., and Martínez-Villegas, N. Estimating Source Apportionment of Heavy Metals Contamination in Surface Soil based on Positive Matrix Factorization (PMF) model around Cerrito Blanco in San Luis Potosi, Mexico. In Presented at the 4th International Electronic Conference on Geosciences, 2022 (Vol. 1, p. 15).
Gupta, K. and Saha, A., Monitoring Seasonal Variations of Tropospheric Carbon Monoxide (CO) using Satellite Remote Sensing Datasets. Proceedings of MOL2NET 2020, International Conference on Multidisciplinary Sciences, 6th edition. 2020; ():1. Doi: 10.3390/mol2net-06-06793
Saha, A., Patil, M., Goyal, V.C. and Rathore, D.S., Assessment and Impact of Soil Moisture Index in Agricultural Drought Estimation using Remote Sensing and GIS Techniques, proceeding in 3rd International Electronic Conference on Water Sciences, Nov 2018. https://sciforum.net/paper/view/5802
Saha, A., Patil, M., Karwariya, S., Azmi, S., Goyal, V.C. and Rathore, D.S., Identification of Potential Sites for Water Harvesting Structures using Geospatial Techniques and Multi-Criteria Decision Analysis, presented in ISPRS TCV Midterm Symposium 2018, Nov 2018.
Saha, A., Rana, A., Garg, P.K. and Snehmani, Mixed Pixel Snow Cover Mapping of Hyperspectral Imagery using Linear Spectral Unmixing Method, proceeding in 2nd International Electronic Conference on Remote Sensing, April 2018.
https://www.researchgate.net/publication/324173412_Mixed_Pixel_Snow_Cover_Mapping_of_Hyperspectral_Imagery_using_Linear_Spectral_Unmixing_Method
Tomar, S., Saha, A., Kumari, M. and Somvanshi, S., Land use and Land cover change monitoring of Surajpur Wetland, Uttar Pradesh: using GIS and Remote Sensing Techniques, Conference proceeding of 17th ESRI India user conference, 2017.
https://www.esri.in/~/media/esri-india/files/pdfs/events/2017/indiauc/papers/UCP006-land-use-andland-cover-change-monitoring-of-surajpur-wetland.pdf
Saha, A., Rana, A., Tomar, S. and Singh, P., Morphometric and Hydrological Analysis of Krishni River Watershed, Uttar Pradesh, India: using Remote Sensing and GIS Techniques, Conference proceeding of 18th ESRI India user conference, Dec, 2017.
https://www.esri.in/~/media/esri-india/files/pdfs/events/2017/UC/proceedings/natural-resourcemanagement/UCP17044-Morphometric-and-Hydrological-Analysis-of-Krishni-River-Watershed
Saha, A., Rana, A. and Garg, P.K., Spectral Analysis of EO-1 Hyperion Data for Snow Grain Size Mapping in a Part of Himalayan Region, Conference proceeding of 38th Asian Conference of Remote Sensing, 2017, New Delhi. https://a-a-r-s.org/proceeding/ACRS2017/ID_753_1652/1111.pdf
Rana, A., Saha, A., and Garg, P.K., Hyperspectral Remote Sensing Data Analysis using Dimensionality Reduction Techniques, Conference proceeding of 18th ESRI India user conference, Dec, 2017.
https://www.esri.in/~/media/esri-india/files/pdfs/events/2017/UC/proceedings/new-technologydevelopment/UCP17019-Hyperspectral-Remote-Sensing-data-Analysis