Chandrashekhar Biradar mainly investigates Vegetation, Remote sensing, Land cover, Phenology and Cartography. Chandrashekhar Biradar brings together Vegetation and Moderate-resolution imaging spectroradiometer to produce work in his papers. Synthetic aperture radar and Satellite imagery are among the areas of Remote sensing where the researcher is concentrating his efforts.
Chandrashekhar Biradar interconnects Field and Deciduous in the investigation of issues within Land cover. His Phenology research incorporates themes from Cropping, Algorithm and Normalized Difference Vegetation Index. His Cartography research is multidisciplinary, relying on both Remote sensing, Protected area and Life zone.
Remote sensing, Normalized Difference Vegetation Index, Remote sensing, Vegetation and Cartography are his primary areas of study. His work in the fields of Remote sensing, such as Satellite imagery, intersects with other areas such as Context. The study incorporates disciplines such as Evergreen, Cropping and Phenology in addition to Normalized Difference Vegetation Index.
His work deals with themes such as Water use, Radiometry and Water resources, which intersect with Remote sensing. His study in Vegetation is interdisciplinary in nature, drawing from both Canopy and Forestry. His work on Elevation as part of general Cartography study is frequently linked to Global Map, Sri lanka, International waters and Global public good, bridging the gap between disciplines.
His scientific interests lie mostly in Normalized Difference Vegetation Index, Agriculture, Food security, Remote sensing and Agroforestry. His work on Crop rotation and Cropping as part of general Agriculture study is frequently connected to Cart, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them. His work in Food security covers topics such as Agricultural productivity which are related to areas like Scale and Satellite Image Time Series.
His Remote sensing research incorporates elements of Data modeling and Vegetation. In his study, which falls under the umbrella issue of Vegetation, Rangeland is strongly linked to Spectral imaging. His Agroforestry research includes themes of Urbanization, Climate change, Crop yield and Paddy field.
His primary scientific interests are in Food security, Normalized Difference Vegetation Index, Agriculture, Agroforestry and Remote sensing. His Food security study integrates concerns from other disciplines, such as Satellite Image Time Series, Agricultural productivity, Environmental resource management and Scale. His Normalized Difference Vegetation Index study incorporates themes from Spatial ecology, Evapotranspiration and Cluster analysis.
His Agriculture study combines topics from a wide range of disciplines, such as Urbanization, Climate change, Paddy field and Phenology. His research in Agroforestry intersects with topics in Biodiversity and Crop yield. His Remote sensing research is multidisciplinary, incorporating perspectives in Data modeling and Vegetation.
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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.
Remote Sensing of Environment (2016)
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.
International Journal of Remote Sensing (2009)
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.
Remote Sensing of Environment (2015)
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.
International Journal of Applied Earth Observation and Geoinformation (2009)
Mapping deciduous rubber plantations through integration of PALSAR and multi-temporal Landsat imagery
Jinwei Dong;Xiangming Xiao;Bangqian Chen;Nathan Torbick.
Remote Sensing of Environment (2013)
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.
Isprs Journal of Photogrammetry and Remote Sensing (2015)
The potential and uptake of remote sensing in insurance: A review
Jan De Leeuw;Anton Vrieling;Apurba Shee;Clement Atzberger.
Remote Sensing (2014)
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.
International Journal of Applied Earth Observation and Geoinformation (2015)
Mapping tropical forests and rubber plantations in complex landscapes by integrating PALSAR and MODIS imagery
Jinwei Dong;Xiangming Xiao;Sage Sheldon;Chandrashekhar Biradar.
Isprs Journal of Photogrammetry and Remote Sensing (2012)
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.
Journal of remote sensing (2011)
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