Chandra Shekhar Biradar

Chandra Shekhar Biradar
Research Team Leader - Geo BigData Driven Digital Augmentation for Sustainable Agro-ecosystems (GeoAgro)

Dr. Chandra Shekhar Biradar is a Research Team Leader- GeoAgro for Sustainable Agroecosystems, Principal Agroecosystem Scientist and Head of Geoinformatics and Research Data Management Unit at the International Center for Agricultural Research in Dry Areas (ICARDA) -CGIAR Research Center. His core expertise focuses on the Digital Augmentation and citizens' science for accelerating sustainable agroecosystems.

Dr. Biradar has multi-disciplinary educational backgrounds with a BSc in Forestry/Agricultural sciences, MSc in Genetic Resources, and Ph.D. in Environmental Science and Space Applications for Biodiversity Conservation from IIRS, ISRO, and the University of Pune, then Postdoctoral fellows in Earth Observation at IWMI and EOS at the University of New Hampshire, USA; and Research Scientist/Faculty at OU’s EOMF and MPBIO.

He pioneered multi-disciplinary digital approaches for quantifying agri-food systems, climate change, water/land productivity mapping, land degradation assessment, multi-layer farming, and data-driven sustainable intensification. He developed the world’s first satellite sensor-based agricultural production systems. His current research focuses on digital augmentation for revitalizing balanced agroecosystems, digitization of agricultural landscapes, excellence in agronomy, and inclusive agroecosystems for rural welfare.

Dr. Biradar has authored and co-authored over 211 publications including 125 peer-review journal articles and 25 books/book chapters. He has received numerous awards and honors, including Best Team Initiative, Young Scientist, and Outstanding Scientist Awards. He has led several innovative data-driven digital agricultural use-cases, deep learning tools and also pioneered biodiversity gardening for transforming landscapes, and rural livelihoods to enhance vital food systems, diet diversity, soil health, nature conservation, and prospecting at several scales and contexts.  

Chandra Shekhar Biradar's Publications

Satellite evidence on the trade-offs of the food-water–air quality nexus over the breadbasket of India
Drought Early Warning in Agri-Food Systems
Journal Article
August 26, 2021

Droughts will increase in frequency, intensity, duration, and spread under climate change. Drought affects numerous sectors in society and the natural environment, including short-term reduced crop production, social conflict over water allocation...

Impact of Climate Change on Crop Production and Its Consequences on Human Health
Mapping Areas for Growing Pulses in Rice Fallows Using Multi-Criteria Spatial Decisions
UAV-Based Multispectral Phenotyping for Disease Resistance to Accelerate Crop Improvement under Changing Climate Conditions
Assessment of spatio-temporal vegetation dynamics in tropical arid ecosystem of India using MODIS time-series vegetation indices
Quantification of the Land Potential for Scaling Agroforestry in South Asia
Developing quantifiable approaches for delineating suitable options for irrigating fallow areas during dry season—a case study from Eastern India
GIS-Based multi-criteria land suitability mapping for scaling faba bean varieties in Ethiopia
Finding a Suitable Niche for Cultivating Cactus Pear (Opuntia ficus-indica) as an Integrated Crop in Resilient Dryland Agroecosystems of India
Finding a Suitable Niche for Cultivating Cactus Pear (Opuntia ficus‐indica) as an Integrated Crop in Resilient Dryland Agroecosystems of India
Mapping land suitability for maize (Zea mays L.) production using GIS and AHP technique in Zimbabwe
Framework for agricultural performance assessment based on MODIS multitemporal data
Phenology-based discrimination of maize (Zea mays L.) varieties using multitemporal hyperspectral data
Annual Cropland Mapping Using Reference Landsat Time Series—A Case Study in Central Asia
Digital Diffusion for Inclusive Agroecosystems
Book Chapter
November 28, 2018

The technological advancements in agriculture have resulted in higher yields but lower ecological efficiency and nutritional value. Little innovations in later sectors such as integrating ecological functions in the production systems have crippled...

Changes in barley (Hordeum vulgare L. subsp. vulgare) genetic diversity and structure in Jordan over a period of 31 years
Regional-scale monitoring of cropland intensity and productivity with multi-source satellite image time series
Exacerbated grassland degradation and desertification in Central Asia during 2000–2014
CART and IDC – based classification of irrigated agricultural fields using multi-source satellite data
Estimating Agricultural Crop Types and Fallow Lands Using Multi Temporal Sentinel-2A Imageries
Energy determines broad pattern of plant distribution in Western Himalaya
Decadal National Land Cover Database for Jordan at 30 m resolution
Food security in  changing Arab environment
Book Chapter
November 02, 2017

The Arab region has the largest food deficit in the world, due to the strained natural resource base and vulnerabilities to climate change implications, which put tremendous pressure on achieving food security. During the last ten years a number of...

Genotypic and phenotypic changes in wild barley (Hordeum vulgare subsp. spontaneum) during a period of climate change in Jordan
Quantification of Agricultural Water Productivity at Field Scale and Its Implication in On-Farm Water Management
Application of remote sensing in estimating maize grain yield in heterogeneous African agricultural landscapes
Assessing gaps in irrigated agricultural productivity through satellite earth observations—A case study of the Fergana Valley, Central Asia
Modeling gross primary production of paddy rice cropland through analyses of data from CO2 eddy flux tower sites and MODIS images
Characterization of spatial variability of soil physicochemical properties and its impact on Rhodes grass productivity
Spatiotemporal patterns of paddy rice croplands in China and India from 2000 to 2015
ICARDA Efforts to Promote In Situ/On-farm Conservation of Dryland Agrobiodiversity
Timely monitoring of Asian Migratory locust habitats in the Amudarya delta, Uzbekistan, using time series of satellite remote sensing vegetation index
Mapping paddy rice planting area in northeastern Asia with Landsat 8 images, phenology-based algorithm and Google Earth Engine
Priority regions for research on dryland cereals and legumes
Journal Article
July 07, 2016

Dryland cereals and legumes are important crops in farming systems across the world. Yet they are frequently neglected among the priorities for international agricultural research and development, often due to lack of information on their magnitude...

Spectral Reflectance Models for Characterizing Winter Wheat Genotypes
Assessing Plant Genetic Resources for Climate- Change Adaptive Traits Heat Traits
Mapping forests in monsoon Asia with ALOS PALSAR 50-m mosaic images and MODIS imagery in 2010
Mapping paddy rice planting areas through time series analysis of MODIS land surface temperature and vegetation index data
New vegetation type map of India prepared using satellite remotesensing: Comparison with global vegetation maps and utilities
A pilot study on the effect of Cu, Zn, and Cd on the spectral curves and chlorophyll of wheat canopy at tiller stage
Production potential of Lentil (Lens culinaris Medik.) in East Africa
Comparison of four EVI-based models for estimating gross primary production of maize and soybean croplands and tallgrass prairie under severe drought
Tracking the dynamics of paddy rice planting area in 1986–2010 through time series Landsat images and phenology-based algorithms
Spatial characterization of colonies of the flying fox bat, a carrier of Nipah Virus in Thailand
Assessing Agricultural Water Productivity in Desert Farming System of Saudi Arabia
The potential and uptake of remote sensing in insurance: A review
Sensitivity of vegetation indices and gross primary production of tallgrass prairie to severe drought
A 50-m Forest Cover Map in Southeast Asia from ALOS/ PALSAR and Its Application on Forest Fragmentation Assessment
Rivers and flooded areas identified by medium-resolution remote sensing improve risk prediction of the highly pathogenic avian influenza H5N1 in Thailand
Mapping deciduous rubber plantations through integration of PALSAR and multi-temporal Landsat imagery