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Research Publications

Research Publications 2015 - 2022 - SIG

PUBLICATIONS 2015 - 2022

  • Ghosh, A., Rakshit, S., Tikle, S., Das, S., Chatterjee, U., Pande, C.B., Alataway, A., Al-Othman, A.A., Dewidar, A.Z., Mattar, M.A. (2022). Integration of GIS and Remote Sensing with RUSLE Model for Estimation of Soil Erosion. Land, 12, 116. https://doi.org/10.3390/land12010116.
    (Linkedin Profile - https://www.linkedin.com/in/sandipan-das-71773617/)
  • Singh, T.P., Deshpande, M., Das, S., and Kumbhar, V. (2022). Drought pattern assessment over Marathwada, India through the development of multivariate advance drought response index, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B3-2022,1173–1180.https://doi.org/10.5194/isprs-archives-XLIII-B3-2022-1173-2022.
    (Linkedin Profile - https://www.linkedin.com/in/sandipan-das-71773617/,
    2. https://www.linkedin.com/in/dr-vidya-kumbhar-patkar-02048a20/,
    3. https://www.linkedin.com/in/prof-dr-t-p-singh-5b12959/)
  • Doad, P.A., Das, S., Khadse, S.P., Khare, Y.D., Pande, B.C., Varade, M.A., (2022). An Assessment of Geo-environmental quality using Physical Data and a Geospatial Approach: An Example for a Watershed in Central India. Environmental Earth Science, 81, 356. https://doi.org/10.1007/s12665-022-10480-z.
    (Linkedin Profile - https://www.linkedin.com/in/sandipan-das-71773617/)
  • Warghat, S., Khadse, P.S., Kulkarni, S.S., Das, S., (2022). Groundwater potential zones identification using integrated remote sensing and GIS-AHP approach in semi-arid region of Maharashtra, India. Case Studies in Geospatial Applications to Groundwater Resources, Elsevier. https://doi.org/10.1016/B978-0-323-99963-2.00013-4.
    (Linkedin Profile - https://www.linkedin.com/in/sandipan-das-71773617/)
  • Alok Jhaldiyal, Navendu Chaudhary, Semantic segmentation of 3D LiDAR data using deep learning: a review of projection-based methods, Applied Intelligence July 2022, DOI: 10.1007/s10489-022-03930-5.
    (Linkedin Profile : https://www.linkedin.com/in/prof-dr-navendu-a-chaudhary-a556684/)
  • Jyoti Jain Tholiya & Navendu Chaudhary, Urban Water Security: Geospatial Assessment For Water Supply Services In Pune, India, Urban Water Journal, https:// doi.org/10.1080/1573062X.2022.2047736, 05 Mar 2022.
    (Linkedin Profile : https://www.linkedin.com/in/prof-dr-navendu-a-chaudhary-a556684/)
  • Jyoti Jain Tholiya, Navendu Chaudhary, Bhuiyan Monwar Alam, Determinants of geographical inequalities in domestic water supply across city of Pune, India, Water Supply ws2021364, October 2021, https://doi.org/10.2166/ws.2021.364.
    (Linkedin Profile : https://www.linkedin.com/in/prof-dr-navendu-a-chaudhary-a556684/)
  • Mapari, Shrikanta, Chaudhary, Navendu, Identification of Inorganic Chemical Formulas based on Support Vector Machine and SURF Key Point Descriptor, International Journal of Computing and Digital Systems Open Access Volume 11, Issue 1, Pages 345 - 354, 2022.
    (Linkedin Profile : https://www.linkedin.com/in/prof-dr-navendu-a-chaudhary-a556684/)
  • Choudhury, S.; Moulick, D.; Mazumder, M.K.; Pattnaik, B.K.; Ghosh, D.; Vemireddy, L.R.; Aldhahrani, A.; Soliman, M.M.; Gaber, A.; Hossain, A.2022. “An In Vitro and In Silico Perspective Study of Seed Priming with Zinc on the Phytotoxicity and Accumulation Pattern of Arsenic in Rice Seedlings”. Antioxidants. 11, 1500. MDPI.ISSN No: 2076-3921. https://doi.org/10.3390/antiox11081500.
    (Linkedin Profile : https://www.linkedin.com/in/dr-binaya-kumar-pattnaik-4228a520/)
  • Equeenuddin, Shaikh Mohammed, Binaya Kumar Pattnaik, Saikat Sengupta, Fakira Bastia, and Chandan Kumar Mohapatra. 2022. "Geochemical and isotopic studies of acid rain over Rourkela—an industrial city in eastern India." Arabian Journal of Geosciences 15(24). 1776. Springer. ISSN No: 1866-7511. https://doi.org/10.1007/s12517-022-11034-0.
    (Linkedin Profile : https://www.linkedin.com/in/dr-binaya-kumar-pattnaik-4228a520/)
  • Binaya Kumar Pattnaik & Chandan Sahu. 2022. “Chromium Dynamics in Soil-Plant System”, In: Response of Field Crops to Abiotic Stress: Current Status and Future Prospects. Editors: Choudhury, S., & Moulick, D. First Edition. CRC Press. Taylor and Francis Groups. https://doi.org/10.1201/9781003258063.
    (Linkedin Profile : https://www.linkedin.com/in/dr-binaya-kumar-pattnaik-4228a520/)
  • Chauhan, P., Malviya, D., Sain, K., Ray, R. L., Singh, S. K., & Singh, D. (2022). Assessing the vulnerability of watersheds to environmental degradation in the lesser Himalayan region using satellite data and a series of models. Geocarto International, 1-28.
    (Linkedin Profile : https://www.linkedin.com/in/dr-dharmaveer-singh-70747a34/)
  • Karan, K., Singh, D., Singh, P. K., Bharati, B., Singh, T. P., & Berndtsson, R. (2022). Implications of future climate change on crop and irrigation water requirements in a semi-arid river basin using CMIP6 GCMs. Journal of Arid Land, 14(11), 1234-1257.
    (Linkedin Profile : 1. https://www.linkedin.com/in/dr-dharmaveer-singh-70747a34/
    2. https://www.linkedin.com/in/prof-dr-t-p-singh-5b12959/)
  • Mahato, P. K., Singh, D., Bharati, B., Gagnon, A. S., Singh, B. B., & Brema, J. (2022). Assessing the impacts of human interventions and climate change on fluvial flooding using CMIP6 data and GIS-based hydrologic and hydraulic models. Geocarto International, 1-26.
    (Linkedin Profile : https://www.linkedin.com/in/dr-dharmaveer-singh-70747a34/)
  • Singh, D., Zhu, Y., Liu, S., Srivastava, P. K., Dharpure, J. K., Chatterjee, D., ... & Gagnon, A. S. (2022). Exploring the links between variations in snow cover area and climatic variables in a Himalayan catchment using earth observations and CMIP6 climate change scenarios. Journal of Hydrology, 608, 127648.
    (Linkedin Profile : https://www.linkedin.com/in/dr-dharmaveer-singh-70747a34/)
  • Brema, J., Gautam, S., & Singh, D. (2022). Global implications of biodiversity loss on pandemic disease: COVID-19. In COVID-19 and the Sustainable Development Goals (pp. 305-322). Elsevier. (Linkedin Profile : https://www.linkedin.com/in/dr-dharmaveer-singh-70747a34/)
  • Gauri Vaidya, Vidya Kumbhar, Sachin Naik and Vijayatai Hukare, “Analyzing the State of Mind of Self-quarantined People during COVID-19 Pandemic Lockdown Period: A Multiple Correspondence Analysis Approach” International Journal of Advanced Computer Science and Applications (IJACSA), 13(9), 2022. http://dx.doi.org/10.14569/IJACSA.2022.0130949.
    (Linkedin Profile : https://www.linkedin.com/in/dr-vidya-kumbhar-patkar-02048a20/).
  • Kumbhar, Vidya., Maru, A., & Kumari, S. (2022). Spatial Data Mining- A tool for Spatial Decision Support System in Agriculture Management. Journal of Engineering Science and Technology Review, 15(1), 128–133. https://doi.org/10.25103/jestr.151.16.
    (Linkedin Profile : https://www.linkedin.com/in/dr-vidya-kumbhar-patkar-02048a20/).
  • Sneha Kumari, Vidya Kumbhar, Nisha Bharti (2022), Advances in Agriculture Policy, Governance and Multi functionality Approach for Sustainable India, Agricultural Input Marketing, Scientific Publishers.
    (Linkedin Profile : https://www.linkedin.com/in/dr-vidya-kumbhar-patkar-02048a20/).
  • S. Gaikwad, J. Gaikwad, Y. Rajput, “Person Identification System Based on Iris Patterns Using Statistical and Machine Learning Techniques”, NeuroQuantology Journal, Volume 20, Issue 14, Page 784-790, Doi: 10.4704/nq.2022.20.14. NQ880109, October 2022.
    (Linkedin Profile: https://www.linkedin.com/in/dr-yogesh-m-rajput-54957545/).
  • Y. Rajput, S. Gaikwad, R. Dhumal and J. Gaikwad, “A Novel Method for Non-Proliferative Diabetic Retinopathy Disease Classification Using Image Processing Techniques”, NeuroQuantology Journal, Volume 20, Issue 11, Page 8002-8011, Doi: 10.14704/NQ.2022.20.11. NQ66794, November 2022.
    (Linkedin Profile: https://www.linkedin.com/in/dr-yogesh-m-rajput-54957545/).
  • Halder S., Samanta K., Das S., Pathak D., (2021). Monitoring the inter-decade spatial-temporal dynamics of the Sundarban mangrove forest of India from 1990 to 2019. Regional Studies in Marine Science, 44, 101718.
  • Bhattacharya, S., Das, S., Das, S., Kalashetty, M., & Warghat, S. R. (2021). An integrated approach for mapping groundwater potential applying geospatial and MIF techniques in the semiarid region. Environment, Development and Sustainability, 23,495-510.
  • Talapatra A, Majumder A, Das S., (2021). Geospatial Analysis of the Dynamics of Climate in Kolkata Metropolitan Area, Journal of Physics: Conference Series, 1964 042038, doi:10.1088/1742-6596/1964/4/042038.
  • Zhu, Y., Yi, Y., Liu, S., Xie, F., Grünwald, R., Miao, W., Wu, K., Qi, M., Gao, Y., and Singh, D., (2021). Overview of terrestrial water storage changes over the Indus River Basin based on GRACE/GRACE-FO solutions. Science of Total Environment. https://doi.org/10.1016/j.scitotenv.2021.149366
  • Rai, S.P., Jakob, N., Singh, D., Rawat, Y.S., and Kumar, B., (2021). Spatiotemporal variability in stable isotopes of the Ganga River and factors affecting their distributions. Catena. Vol., 204, 105360. https://doi.org/10.1016/j.catena.2021.105360
  • Singh, T.P., Singh, D., Singh, R.B. (2021). Geo-intelligence for Sustainable Development. In: Advances in Geographical and Environmental Sciences (Springer). ISBN: 978-981-16-4768-0. Pages, XXII, 332. https://doi.org/ 10.1007/978-981-16-4768-0
  • Sahu R., Singh D., Gagnon A.S., Singh P.K. (2021) Geo-Intelligence-Based Approach to Investigate Temporal Changes in the Length and Surface Area and Ice Velocity of Sakchum Glacier. In: Singh T.P., Singh D., Singh R.B. (eds) Geo-intelligence for Sustainable Development. Advances in Geographical and Environmental Sciences. Springer, Singapore. https://doi.org/10.1007/978-981-16-4768-0_13
  • Singh, B.B., Singh, M., and Singh D., (2021), Regional climate change over south Asia: Observations, projections and recent advances. In: Practices in regional science and sustainable regional development (Springer). ISBN: 978-981-16-2221-2. https://doi.org/10.1007/978-981-16-2221-2_12
  • Das, S., Kadam A.K., Umrikar, B.N., Sankhua R.N., Varade A.M.,Doad A.P., Kalashetty M., (2021), Efficacy of Geospatial Technologies of Groundwater prospect zonation in the lower Western Ghats area of Maharashtra, Central India, Geostatistics and Geospatial technologies for groundwater resources in India. Springer Hydrogeology. Springer, Cham. https://doi.org/10.1007/978-3-030-62397-5_6.
  • Halder S., Samanta K., Das S. (2021) Monitoring and Prediction of Dynamics in Sundarban Forest using CA–Markov Chain Model. In: Shit P.K., Pourghasemi H.R., Das P., Bhunia G.S. (eds) Spatial Modeling in Forest Resources Management. Environmental Science and Engineering. Springer, Cham. https://doi.org/10.1007/978-3-030-56542-8_18
  • Varade, A. M., Khare, Y. D., Yadav, P., Doad, A. P., Das, S., (2021), Investigation of Lineaments for Identification of Deeper Aquifer Zones in Hard Rock Terrain: A Case Study of WRWB-2 Watershed from Nagpur District, Central India. Springer Hydrogeology. Springer, Cham. https://doi.org/10.1007/978-3-030-62397-5_6
  • Pritanka Sandbhor, T.P. Singh. Mahesh Kalshetty (2021), Spatiotemporal change in urban landscape and its effect on behavior of diurnal temperature range: a case study of Pune District, India, Environment, Development and Sustainability, 1-20. https://doi.org/10.1007/s10668-021-01461-6
  • Metha Ketki, Singh T.P (2021), Analysis of land use and land cover dynamics and forest disturbance in Western Ghats region of Maharashtra, India, Indian Journal of Ecology, Volume : 48, Issue : 3
  • Moulick, D., Samanta, S., Sarkar, S., Mukherjee, A., Pattnaik, B.K., Saha, S., Awasthi, J.P., Bhowmick, S., Ghosh, D., Samal, A.C., Mahanta, S., Mazumder, M.K., Choudhury, S., Bramhachari, K., Biswas, J.K., Santra, S.C., 2021. Arsenic contamination, impact and mitigation strategies in rice agro-environment: An inclusive insight. Science of The Total Environment. 800, 149477.https://doi.org/https://doi.org/10.1016/j.
  • Deshpande, M.M., Kumar, A. & Singh, T.P. (2020), Integration of C band SAR and optical temporal data for identification of paddy fields. SN Appl. Sci. 2, 990. https://doi.org/10.1007/s42452-020-2786-0
  • Singh, T.P., Nandimath, P., Kumbhar, V. Das, S., & Barne, P. (2020). Drought risk assessment and prediction using artificial intelligence over the southern Maharashtra state of India. Model. Earth Syst. Environ. https://doi.org/10.1007/s40808-020-00947-y
  • Das, D.N., Chakraborti, S., Saha, G., Banerjee, A., and Singh, D., (2020). Analysing the dynamic relationship of land surface temperature and land use pattern: A city level analysis of two climatic regions in India. City and Environment Interactions, 100046.
  • S. Bhadauriy, Navendu Chaudhary, Mamatha Sanapala, Shibendu S. RayShibendu S. Ray, Relationship between rice residue burning and increasing air pollution in north-west india, The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XLIIIB3-2020, 2020 XXIV ISPRS Congress (2020 edition).
  • Sk. Md. Equeenuddin, Binaya Kumar Pattnaik (2020). “ Hydrogeochemical evolution of hexavalent chromium in the sukinda ultramafic complex in eastern part of India” . Geochemistry. (Article in Press). Elsevier, doi.org/10.1016/j.chemer.2020.125633.
  • Das, P., Behera, M.D., Pal, S. V M Chowdary , P R Behera , T P Singh (2019), Studying land use dynamics using decadal satellite images and Dyna-CLUE model in the Mahanadi River basin, India. Environ Monit Assess 191, 804 . https://doi.org/10.1007/s10661-019-7698-3
  • Singhai, A., Das, S., Kadam, A. K., Shukla, J. P., Bundela, D. S., & Kalashetty, M. (2019). GIS-based multi-criteria approach for identification of rainwater harvesting zones in upper Betwa sub-basin of Madhya Pradesh, India. Environment, Development and Sustainability, 21(2), 777-797.
  • Warghat, S.R, Meshram, S.A., Khadse, S.P., & Das, S. (2019). Hydrogeological Assessment of Groundwater studies of Bhatkuli Taluka, Amravati District, Maharashtra using Geographical Information System (GIS) technique, Journal of Emerging Technologies and Innovative Research, 6(1):203-212.
  • Singh, T. P., Kumbhar, V., Das, S., Deshpande, M. M., & Dhoka, K. (2019). Comparison of TRMM multi-satellite precipitation analysis (TMPA) estimation with ground-based precipitation data over Maharashtra, India. Environment, Development and Sustainability, 22, 5539-5552.  
  • Rai, S.P., Singh, D*., Jakob, N., Arora, M., Rawat, Y.S., Kumar, B., (2019). Identifying contribution of snowmelt and glacier melt to the Bhagirathi River (Upper Ganga) near snout of the Gangotri Glacier using environmental isotopes. Catena Vol. 173, 339-351.DOI:10.1016/j.catena.2018.10.031.
  • Rai, S.P., Singh, D*., Saini R. et al., (2019). Possibility of hydrological connectivity between Manasarovar Lake and Gangotri Glacier. Current Science. 116 (7), 1062, DOI: 10.18520/cs/v116/i7/1062-1067. 
  • Navendu Chaudhary, Yogesh Pisolkar, (2019), Geospatial Technology Education: Capacity Building for Sustainable Development International Journal of Recent Technology and Engineering (IJRTE), Volume-8 Issue3, September 2019, pg. 1047-1051.
  • Binaya Kumar Pattnaik, SanjayaPattnayak, ChandanSahu, (2019). Study of Drainage Morphometry of Hatti River Valley In Mahanadi Basin, Odisha Using Geographical Information System . Pollution Research. 38, S100 – S107. EM International.
  • Tanwar, K., Attri, P., Sahil K Shah, & Tarun Pratap Singh. (2025). Landfill suitability mapping using satellite imagery and machine learning techniques: A case study for Delhi-NCR, India. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, X-5/W2-2025(1), 679–686.
  • Mukherjee, S., Sahil K Shah, Tarun Pratap Singh, & Vidya Sandeep Patkar. (2025). Classification and phenological stage monitoring of grape crop using Sentinel-1 and Sentinel-2 time series and deep learning techniques. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, X-5/W2-2025(1), 397–404.
  • Miriam, D., Chaudhary, N., Yewale, S., & Khadilkar, A. (2025). A scoping review of GIS mapping of type 1 diabetes in children: Identifying current gaps and future research directions using PRISMA-ScR. Current Diabetes Reviews, 21(8), e260424229413.
  • Yewale, S., Chaudhary, N., Miriam, D., … Khadilkar, V., & Khadilkar, A. (2025). Geographic information system mapping and predictors of glycemic control in children and youth with type 1 diabetes: A study from Western India. Journal of Pediatric Endocrinology and Metabolism, 38(1), 29–36.
  • Jadhav, S., Sahil K Shah, Vidya Sandeep Patkar, & Tarun Pratap Singh. (2025). Quantification of sugarcane crop water footprint using remote sensing and machine learning techniques: Case study of Kolhapur District, Maharashtra, India. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, X-5/W2-2025(1), 249–256.
  • Chauhan, P., Ray, R. L., Samanta, S., & others. (2025). Snow cover analysis using NDSI and SWI indices. Applied Geomatics, 18(22), 1–22.
  • Appukuttan, A., Deshpande, G. S., & others. (2025). Geospatial modeling of landslide susceptibility. Discover Applied Sciences, 7(1), 1224–1246.
  • Singh, S. K., Singh, P. K., & others. (2025). Preface to the big data analytics and machine learning section. Physics and Chemistry of the Earth, 142(2), 104161.
  • Karim, M., Tomar, S., Sahil K Shah, & others. (2025). Analyzing and predicting PM10 using remote sensing. Discover Applied Sciences, 7(1), 1–20.
  • Kanse, S., Lingam, V. P., Sahil K Shah, & others. (2025). Leveraging UAV imagery and deep learning for analysis. Journal Européen des Systèmes Automatisés, 58(7), 1417–1425.
  • Gadakh, A., Patkar, V. S., & others. (2025). Identifying key features for establishing sustainable systems. International Journal of Sustainable Development, 20(7), 2795–2803.
  • Bera, S., Gupta, S., Singh, D., & others. (2025). Automated farm ponds detection using satellite imagery. Journal of Geomatics, 19(1), 108–116.
  • Sahu, R., Singh, D., Liu, S., & others. (2025). Deep-learning-based streamflow prediction. International Journal of River Basin Management, 23(3), 1–19.
  • Banerjee, B., Karmakar, P., Singh, S. K., & others. (2025). Spatial risk assessment of tropical cyclone. Journal of Atmospheric and Solar-Terrestrial Physics, 274(9), 106602.
  • Vohra, M., Singh, T. P., & others. (2025). Generative AI-driven spatial data extraction. International Journal of Geoinformatics, 21(6), 47–61.
  • Karan, K., Singh, D., Hussain, A., & others. (2025). Spatial disaggregation of coarse-scaled gridded data. Advances in Space Research, 76(5), 2643–2661.
  • Areesha, A., Chauhan, P., Ahmad, R., & others. (2025). Temperature and climate dynamics in national capital region. Indonesian Journal of Geography, 57(1), 166–179.
  • Singh, T. P. (2025). Automated farm ponds detection using satellite imagery. Journal of Geomatics, 19(1), 108–116.
  • Hukare, V., Patkar, V. S. (2025). Optimization of feature selection methods. ES Food and Agroforestry, 20(1), 10–15.
  • Das, S., Kunjir, G. M., & others. (2025). Assessing particulate matter (PM2.5) concentration. Discover Sustainability, 6(1), 1–20.
  • Pisolkar, Y. M., Chaudhary, N. A., & others. (2025). Opportunities and challenges in heritage conservation. International Journal of Conservation Science, 16(1), 165–174.
  • Hukare, V., Sankanna, S., Patkar, V. S., & others. (2025). Comparative analysis of soil classification techniques. Journal of the Indian Society of Soil Science, 73(2), 174–182.
  • Husna, A., Shah, S. K., & others. (2025). Streamflow reconstruction using multi-taxa tree data. Quaternary, 8(1), 9.
  • Chatterjee, D., Singh, P. K., & others. (2025). Implementation of satellite-based water accounting. Groundwater for Sustainable Development, 28(1), 101391.
  • Rai, D., Saini, R., Kumar, S., & others. (2025). Stable isotopic characterization and estimation. Journal of Hydrology, 655(1), 132962.
  • Yewale, S., Navendu Avinash Chaudhary, D., Miriam, D., Bhor, S., Dange, N., Shah, N., Khadilkar, V., & Khadilkar, A. (2024). Geographic information system mapping and relationship with glycemic control in type 1 diabetes in western India. Hormone Research in Paediatrics, 97(2), 87–87.
  • Kumari, S., Tripathy, K. K., & Patkar, V. S. (2024). Municipal solid waste management with reference to India: Opportunities, challenges and future directions. International Journal of Business and Globalisation, 38(2), 165–187.
  • Kolte, U., Naik, S., & Patkar, V. S. (2024). A CNN-KNN based recognition of online handwritten symbols within physics expressions using contour-based bounding box (CBBS) segmentation technique. Journal of Computer Science, 20(7), 783–792.
  • Yewale, S., Chaudhary, N. A., Miriam, D., Bhor, S., Dange, N., Shah, N., Khadilkar, V., & Khadilkar, A. (2024). Geographic information system mapping and predictors of glycemic control in children and youth with type 1 diabetes: A study from Western India. Journal of Pediatric Endocrinology and Metabolism.
  • Ghosh, D., Sinha, S., Singh, T. P., & Singh, D. (2024). Multi-criteria decision analysis-based solutions for the installation of photovoltaic (PV) solar power plants in an energy deficit state of India: An effort towards SDG-7. Transactions in GIS, 28(7), 1–12.
  • Das, S., Pattnaik, B. K., & K., P. N. (2024). Comparative evaluation between Taguchi method and response surface method for optimization of electrocoagulation process in the context of treatment of dairy industry wastewater. Environmental Monitoring and Assessment, 196(1), 1–20.
  • Chatterjee, D., Singh, D., Das, D. B., & Singh, P. K. (2024). Understanding the impact of urban sprawl on sanitation risks using a GIS-based multicriteria decision-making approach. Transactions in GIS, 28(5), 1–22.
  • Miriam, D., Chaudhary, N. A., Yewale, S., & Khadilkar, A. (2024). A scoping review of GIS mapping of type 1 diabetes in children: Identifying current gaps and future research directions using PRISMA-ScR. Current Diabetes Reviews, 21(8), 1–10.
  • Anantharaman, H., & Chaudhary, N. A. (2024). Neoteric machine learning approaches to diagnose the state of carotid artery. International Journal of Medical Engineering and Informatics, 16(3), 274–286.
  • Das, S., Karuppannan, S., Chatterjee, U., & Kumar, S. (2024). Geophysical, climatological and anthropogenic hazards and disaster: Vulnerability, risk assessment, and sustainability. Frontiers in Environmental Science, 12(1), 1–2.
  • Shah, S. K., Patkar, V. S., & Singh, T. P. (2024). Grape (Vitis vinifera) leaf disease detection and classification using deep learning techniques: A study on real-time grape leaf image dataset in India. International Journal of Engineering, Transactions B: Applications, 37(8), 1522–1533.
  • Chatterjee, D., Singh, P. K., Singh, D., & Singh, V. P. (2024). A novel partitioning of gross primary production and water use efficiency for sustaining water and food security using Budyko hypothesis. Science of the Total Environment, 912(1), 169283.
  • Das, S., Dandapat, K., Chatterjee, U., Patra, A., & Islam, M. K. (2024). Assessment of groundwater potential in Jhargram district using GIS-based multicriteria decision making approach. Geocarto International, 39(1), 1–20.
  • Dharpure, J. K., Goswami, A., Patel, A., Singh, D., Jain, S., & Kulkarni, A. (2024). Synergistic approach for streamflow forecasting in a glacierized catchment of western Himalaya using earth observation and machine learning techniques. Earth Science Informatics, 17(3), 2973–2994.
  • Kumari, S., Tripathy, K. K., & Patkar, V. S. (2024). Municipal solid waste management in smart cities: A survey based on opportunities, challenges and future directions. International Journal of Business and Globalisation, 38(2), 165–187.
  • Rajput, D. M., Gaikwad, S., Dhumal, D. K., & Gaikwad, J. (2023). The development of a tool for the detection of cotton wool spots, haemorrhage, and exudates using multi-resolution analysis. Lecture Notes in Networks and Systems, 738(1), 299–310.
  • Baral, U., Saha, U. D., Mukhopadhyay, U., & Singh, D. (2023). Drought risk assessment on the eastern part of Indian peninsula. Environmental Monitoring and Assessment, 195(11), 1–23.
  • Mohanty, S., Mustak, S., Singh, D., Hoang, T. V., Monda, M., & Wang, C. T. (2023). Vulnerability and risk assessment mapping of Bhitarkanika National Park, Odisha, India using machine-based embedded decision support system. Frontiers in Environmental Science, 11(1), 1–19.
  • Rajput, D. M., Gaikwad, S., Dhumal, D. K., & Gaikwad, J. (2023). Classification of non-proliferative diabetic retinopathy in terms of dark and bright lesions using multilayered perceptron (MLP). Lecture Notes in Networks and Systems, 720(1), 99–109.
  • Tholia, J. J., & Chaudhary, D. A. (2023). Water security: A geospatial framework for urban water resilience. Water Science and Technology: Water Supply, 23(8), 3013–3029.
  • Kundu, B., Kumar, A., Shrivastva, A., Chatterjee, D., Xie, F., & Singh, D. (2023). Estimating spatio-temporal changes in front edge of the Ronne Ice Shelf in context of climate change using remote sensing based integrated approach. Polar Science, 37, 100967.
  • Neeta, N., Singh, D. P., Sachin, N., & Mukesh, T. (2023). Drought prediction: A comprehensive review of different drought prediction models and adopted technologies. Sustainability, 15(15), 11684.
  • Singh, D., Karan, K., Singh, S. K., Chauhan, P., & Berndtsston, R. (2023). Fusing morphometric characteristics with extreme precipitation indices for identifying the most vulnerable sub-basin at risk of flooding. Journal of Hydro-Environment Research, 50, 44–56.
  • Chatterjee, D., Singh, D., Singh, P. K., Fohrer, N., & Singh, B. B. (2023). Performance evaluation of different gridded precipitation and CMIP6 model products with gauge observations for assessing rainfall variability under historical and future climate change scenarios. Physics and Chemistry of the Earth, 131, 103433.
  • Jhaldiyal, A., & Chaudhary, D. A. (2023). Semantic segmentation of 3D LiDAR data using deep learning: A review of projection-based methods. Applied Intelligence, 53(1), 6844–6855.
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  • Dhorde, A., Deshpande, D. S., & Datkhile, P. (2023). Automatic urban feature extraction using rule-based object-oriented classification: A case study of parts of Pune city, Maharashtra, India. Applied Geomatics, 15(4), 871–884.
  • Kaur, H., Tyagi, S., Mehta, D. M., & Singh, D. (2023). Time-series (2001/2002–2021) analysis of Earth observation data using Google Earth Engine for detecting changes in land use land cover with specific reference to forest cover in East Godavari. Journal of Earth System Science, 132(2), 86–102.
  • Deshpande, D. S., & Dhorde, A. (2023). Validating the curve number estimation approaches: A case study of an urbanizing watershed from western Maharashtra, India. Modeling Earth Systems and Environment, 10(2), 1–15.
  • Singh, D., Vardhan, D. M., Sahu, D. R., Chatterjee, D., Chauhan, D. P., & Liu, D. S. (2023). Machine-learning- and deep-learning-based streamflow prediction in a hilly catchment for future scenarios using CMIP6 GCM data. Hydrology and Earth System Sciences, 27(5), 1047–1075.
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  • Rajput, D. M., Gaikwad, S., Dhumal, D. K., & Gaikwad, J. (2023). The development of a tool for the detection of cotton wool spots, hemorrhage, and exudates using multi-resolution analysis. Lecture Notes in Networks and Systems.