Chandra Shekhar Biradar

Dr. Chandra Shekhar Biradar is a principal agro-ecosystems scientist and leads ICARDA’s geospatial science, technology and application research activities. Dr. Biradar has led production of the world’s first satellite sensor serving irrigated and rainfed croplands, and has developed a number of remote sensing-based methods, algorithms, and tools related to land use and land cover mapping, biodiversity assessments, water productivity, and eco-epidemiology. His current research involves developing geospatial mechanisms that deliver interventions for smallholder farmers more precisely.

Dr. Biradar has authored over 200 publications, which include 75 refereed journal publications, 24 books and book chapters, and over 100 other publications. He is also the recipient of numerous awards and honors, including the Association of Agricultural Scientists of Indian Origin’s Outstanding Young Scientist Award in 2013.

Before joining ICARDA in 2013, he was professor and researcher at the University of Oklahoma in Norman, where he worked on a number of federally-funded projects. Biradar received his Ph.D. in remote sensing and environmental sciences from the University of Pune, India, and completed his post-doctoral fellowship at the Institute for the Study of Earth, Ocean and Space at the University of New Hampshire. He also earned a master’s degree in genetic engineering from the University of Horticulture and Forestry in Solan, India.

Chandra Shekhar Biradar's Publications

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
INTELLIGENT OBJECT BASED SMOOTHING: AN ALGORITHM FOR REMOVING NOISES IN THE CLASSIFIED SATELLITE IMAGE
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