World's Best Scientists 2026 revealed!

D-Index & Metrics

Environmental Sciences

D-Index
39
Citations
6767
World Ranking
8311
National Ranking
4

Overview

Chandrashekhar Biradar is affiliated with the International Center for Agricultural Research in the Dry Areas, Egypt. Their research primarily spans Environmental Science and Agricultural and Biological Sciences, with a significant focus on Global and Planetary Change, Ecology, Plant Science, and associated subfields such as Management, Monitoring, Policy, and Law. Their work addresses a wide range of topics, including Remote Sensing in Agriculture, Land Use and Ecosystem Services, Soil and Land Suitability Analysis, Climate Change Impacts on Agriculture, Agroforestry and Silvopastoral Systems, Smart Agriculture and AI, and Conservation, Biodiversity, and Resource Management.

Biradar has published extensively on subjects related to agricultural research under changing climatic conditions. Their recent notable papers include:

  • Drought Early Warning in Agri-Food Systems (2021), published in Climate
  • UAV-Based Multispectral Phenotyping for Disease Resistance to Accelerate Crop Improvement under Changing Climate Conditions (2020), published in Remote Sensing
  • Quantification of the Land Potential for Scaling Agroforestry in South Asia (2020), published in KN - Journal of Cartography and Geographic Information
  • Divergent Trends in Grassland Degradation and Desertification under Land Use and Climate Change in Central Asia from 2000 to 2020 (2023), published in Ecological Indicators
  • Optimising Carbon Fixation through Agroforestry: Estimation of Aboveground Biomass Using Multi-Sensor Data Synergy and Machine Learning (2023), published in Ecological Informatics

Their publications appear frequently in venues such as Sustainability, Climate, Remote Sensing, Ecological Indicators, and Ecological Informatics. This distribution reflects a consistent engagement with interdisciplinary journals that cover environmental science, agricultural systems, and remote sensing technology.

Collaboration has been an important facet of their research career. Frequent coauthors include:

  • Javed Rizvi
  • S. K. Dhyani
  • Raj Kumar Singh
  • Firoz Ahmad
  • Pulakesh Das

The scientist's work involves integrating various methodologies including satellite data analysis, machine learning, and multispectral phenotyping to address challenges related to drought, disease resistance, land degradation, and agroforestry. Their efforts contribute to advancing knowledge about land use management, ecosystem services, and the development of innovative agricultural practices adapted to climate change scenarios.

Best Publications

  • Mapping paddy rice planting area in northeastern Asia with Landsat 8 images, phenology-based algorithm and Google Earth Engine

    Jinwei Dong;Xiangming Xiao;Xiangming Xiao;Michael A. Menarguez;Geli Zhang

  • Global irrigated area map (GIAM), derived from remote sensing, for the end of the last millennium

    Prasad S. Thenkabail;Chandrashekhar M. Biradar;Praveen Noojipady;Venkateswarlu Dheeravath

  • Tracking the dynamics of paddy rice planting area in 1986–2010 through time series Landsat images and phenology-based algorithms

    Jinwei Dong;Jinwei Dong;Xiangming Xiao;Xiangming Xiao;Xiangming Xiao;Weili Kou;Weili Kou;Yuanwei Qin

  • Mapping paddy rice planting areas through time series analysis of MODIS land surface temperature and vegetation index data

    Geli Zhang;Xiangming Xiao;Jinwei Dong;Weili Kou

  • Mapping deciduous rubber plantations through integration of PALSAR and multi-temporal Landsat imagery

    Jinwei Dong;Xiangming Xiao;Bangqian Chen;Nathan Torbick

  • A global map of rainfed cropland areas (GMRCA) at the end of last millennium using remote sensing

    Chandrashekhar M. Biradar;Prasad S. Thenkabail;Praveen Noojipady;Yuanjie Li

  • New vegetation type map of India prepared using satellite remote sensing: Comparison with global vegetation maps and utilities

    P.S. Roy;M.D. Behera;M.S.R. Murthy;Arijit Roy

  • Spatiotemporal patterns of paddy rice croplands in China and India from 2000 to 2015.

    Geli Zhang;Xiangming Xiao;Xiangming Xiao;Chandrashekhar M. Biradar;Jinwei Dong

  • The potential and uptake of remote sensing in insurance: A review

    Jan De Leeuw;Anton Vrieling;Apurba Shee;Clement Atzberger

  • Sensitivity of vegetation indices and gross primary production of tallgrass prairie to severe drought

    Pradeep Wagle;Xiangming Xiao;Margaret S. Torn;David R. Cook

  • Quantifying the area and spatial distribution of double-and triple-cropping croplands in India with multi-temporal MODIS imagery in 2005

    Chandrashekhar M. Biradar;Xiangming Xiao

  • Mapping tropical forests and rubber plantations in complex landscapes by integrating PALSAR and MODIS imagery

    Jinwei Dong;Xiangming Xiao;Sage Sheldon;Chandrashekhar Biradar

  • Comparison of four EVI-based models for estimating gross primary production of maize and soybean croplands and tallgrass prairie under severe drought

    Jinwei Dong;Xiangming Xiao;Xiangming Xiao;Pradeep Wagle;Geli Zhang

  • Flying Over an Infected Landscape: Distribution of Highly Pathogenic Avian Influenza H5N1 Risk in South Asia and Satellite Tracking of Wild Waterfowl

    Marius Gilbert;Scott H. Newman;John Y. Takekawa;Leo Loth

  • A comparison of forest cover maps in Mainland Southeast Asia from multiple sources: PALSAR, MERIS, MODIS and FRA

    Jinwei Dong;Xiangming Xiao;Sage Sheldon;Chandrashekhar Biradar

  • Exacerbated grassland degradation and desertification in Central Asia during 2000-2014.

    Geli Zhang;Chandrashekhar M. Biradar;Xiangming Xiao;Xiangming Xiao;Jinwei Dong

  • Irrigated areas of India derived using MODIS 500 m time series for the years 2001–2003

    Venkateswarlu Dheeravath;Prasad S. Thenkabail;G. Chandrakantha;P. Noojipady

  • An irrigated area map of the world (1999) derived from remote sensing

    Prasad Thenkabail;Chandrashekhar Biradar;Hugh Turral;Praveen Noojipady

  • Influence of Resolution in Irrigated Area Mapping and Area Estimation

    N. M. Velpuri;Prasad S. Thenkabail;Murali K. Gumma;Chandrashekhar M. Biradar

  • Improved estimates of forest cover and loss in the Brazilian Amazon in 2000–2017

    Yuanwei Qin;Xiangming Xiao;Jinwei Dong;Yao Zhang

Frequent Co-Authors

Xiangming Xiao
Xiangming Xiao University of Oklahoma
Prasad S. Thenkabail
Prasad S. Thenkabail United States Geological Survey
Jinwei Dong
Jinwei Dong Chinese Academy of Sciences
Hugh Turral
Hugh Turral International Water Management Institute
Murali Krishna Gumma
Murali Krishna Gumma International Crops Research Institute for the Semi-Arid Tropics
Yuanwei Qin
Yuanwei Qin University of Oklahoma
Prasanna H. Gowda
Prasanna H. Gowda United States Department of Agriculture
Yao Zhang
Yao Zhang Peking University
Marius Gilbert
Marius Gilbert Université Libre de Bruxelles
Onisimo Mutanga
Onisimo Mutanga University of KwaZulu-Natal

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