DEBARATI BERA

About

I am Debarati Bera, a researcher specializing in agro-hydrometeorology, remote sensing, and geospatial analytics. My expertise includes meteorological and agricultural drought assessment, machine learning applications in climate studies, and spatiotemporal data analysis. I have published various research on drought, crop monitoring, integrating climate indices like SPI, SPEI and satellite-data based indices to enhance prediction models. My skills extend to GIS, R, GEE, and statistical modeling for crop yield estimation and disaster risk assessment. Currently, I contribute to data-driven solutions for agricultural resilience and climate risk management.

Employment

Employment history is unavailable.

Education

• Neuromatch Completed the course and project
  2025 - 2025

Projects & Funding

Projects & funding information is unavailable.

Publications (10)

• Optimizing floriculture mapping with deep learning using high-resolution multispectral and hyperspectral imagery
  Remote Sensing Applications: Society and Environment 2026 DOI: 10.1016/j.rsase.2026.101968
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• Identification of floriculture using multi-temporal Sentinel datasets and machine learning techniques
  Applied Geomatics 2026 DOI: 10.1007/s12518-025-00653-3
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• Meteorological drought dynamics and climatic interactions in the arid and semi-arid regions of western India
  Journal of Environmental Management 2025 DOI: 10.1016/j.jenvman.2025.125836
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• Assessment of Landslide Susceptibility using Geospatial Techniques: A Comparative Evaluation of Machine Learning and Statistical Models
  Geological Journal 2025 DOI: 10.1002/gj.5080
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• Early prediction of forest fire events integrating multi-sensor datasets and machine learning techniques
  Stochastic Environmental Research and Risk Assessment 2025 DOI: 10.1007/s00477-025-03070-5
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• A Comprehensive Evaluation of Agricultural Drought Vulnerability Using Fuzzy‐AHP‐Based Composite Index Integrating Sensitivity and Adaptive Capacity
  Hydrological Processes 2024 DOI: 10.1002/hyp.15331
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• Analysing spatio-temporal drought characteristics and copula-based return period in Indian Gangetic Basin (1901–2021)
  Environmental Science and Pollution Research 2024 DOI: 10.1007/s11356-024-32286-1
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• Assessing impact of urbanisation on surface runoff using vegetation-impervious surface-soil (V-I-S) fraction and NRCS curve number (CN) model
  Modeling Earth Systems and Environment 2022 DOI: 10.1007/s40808-020-01079-z
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• Use of Open Source Software to Assess Spatio-Temporal Variation of Agricultural Drought at Regional Scale
  Mapping, Monitoring, and Modeling Land and Water Resources 2021 DOI: 10.1201/9781003181293-18
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• Regional variation of drought parameters and long-term trends over India using standardized precipitation evapotranspiration index
  Journal of Environmental Management 2021 DOI: 10.1016/j.jenvman.2021.113056
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