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 and extent. Given what we know about the globa...
Hyman, Glenn
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Barona, Elizabeth
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Biradar, Chandrashekhar M.
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Guevara, Edward D.
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Dixon, John A.
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Beebe, Stephen E.
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Castaño, Silvia Elena
,
Alabi, Tunrayo
,
Gumma, Murali K.
,
Rivera, Ovidio
,
Espinosa, Herlin
,
Cardona, Jorge
,
[Priority regions for research on dryland cereals and legumes]
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Priority regions for research on dryland cereals and legumes
This document summarizes the materials and methods used to create a series of maps of irrigated areas of the world using remote sensing approaches. These maps are complementary to existing statistics (FAO-Aquastat) and the GISderived maps (FAO/University of Frankfurt Global irrigated area map). T...
Thenkabail, Prasad S.
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Biradar, Chandrashekhar M.
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Turral, Hugh
,
Noojipady, Praveen
,
Li, Yuanjie
,
Vithanage, Jagath
,
Dheeravath, Venkateswarlu
,
Velpuri, Manohar
,
Schull, M.
,
Xueliang Cai
,
Dutta, Rishiraj
,
[An irrigated area map of the world (1999) derived from remote sensing]
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An irrigated area map of the world (1999) derived from remote sensing
The areal extent and spatial distribution of evergreen forests in the tropical zones are important for the study of climate, carbon cycle and biodiversity. However, frequent cloud cover in the tropical regions makes mapping evergreen forests a challenging task. In this study we developed a simple...
Xiao, X.
,
Biradar, Chandrashekhar M.
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Czarnecki, C.
,
Alabi, T.
,
Keller, M.
,
[A simple algorithm for largescale mapping of evergreen forests in tropical America, Africa and Asia]
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A simple algorithm for largescale mapping of evergreen forests in tropical America, Africa and Asia
Biradar, Chandrashekhar M.
,
[Digital augmentation for accelerating agroecological intensification with crops, trees and livestock]
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Digital augmentation for accelerating agroecological intensification with crops, trees and livestock
Thenkabail, Prasad S.
,
Biradar, Chandrashekhar M.
,
Noojipady, Praveen
,
Islam, Aminul
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Vithanage, Jagath
,
Velpuri, Manohar
,
Dheeravath, Venkateswarlu
,
Kulawardhana, Wasantha
,
Jie, Li Yuan
,
Gunasinghe, Sarath
,
Alankara, Ranjith
,
[International Water Management Institute's Data Storehouse Pathway (IWMIDSP): A unique data and knowledge gateway of spatial data with emphasis on river basins]
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International Water Management Institute's Data Storehouse Pathway (IWMIDSP): A unique data and knowledge gateway of spatial data with emphasis on river basins
Gangodagamage, Chandana
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Biradar, Chandrashekhar M.
,
Islam, A.
,
Thenkabail, Prasad S.
,
[Shuttle Radar Topography Mission (SRTM) data for Sri Lanka: potential contributions in river basin research]
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Shuttle Radar Topography Mission (SRTM) data for Sri Lanka: potential contributions in river basin research
The goal of this paper was to develop methods and protocols for water productivity mapping (WPM) using remote sensing data at multiple resolutions and scales in conjunction with field-plot data. The methods and protocols involved three broad categories: (a) Crop Productivity Mapping (CPM) (kg/m2)...
Biradar, Chandrashekhar M.
,
Thenkabail, Prasad S.
,
Platonov, Alexander
,
Xiao, X.
,
Geerken, R.
,
Noojipady, P.
,
Turral, H.
,
Vithanage, Jagath
,
[Water productivity mapping methods using remote sensing]
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Water productivity mapping methods using remote sensing
The overarching goal of this research was to map crop water productivity using satellite sensor data at various spectral, spatial, radiometric, and temporal resolutions involving: (a) Moderate Resolution Imaging Spectroradiometer (MODIS) 500m, (b) MODIS 250m, (c) Landsat enhanced thematic mapper ...
Xueliang Cai
,
Thenkabail, Prasad S.
,
Biradar, Chandrashekhar M.
,
Platonov, Alexander
,
Gumma, Murali K.
,
Dheeravath, Venkateswarlu
,
Cohen, Y.
,
Goldlshleger, F.
,
Ben-Dor, E.
,
Alchanatis, V.
,
Vithanage, Jagath
,
Anputhas, Markandu
,
[Water productivity mapping using remote sensing data of various resolutions to support more crop per drop]
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Water productivity mapping using remote sensing data of various resolutions to support more crop per drop
The overarching goal of this paper was to espouse methods and protocols for water productivity mapping (WPM) using high spatial resolution Landsat remote sensing data. In a world where land and water for agriculture are becoming increasingly scarce, growing "more crop per drop? (increasing water ...
Platonov, Alexander
,
Thenkabail, Prasad S.
,
Biradar, Chandrashekhar M.
,
Xueliang Cai
,
Gumma, Murali K.
,
Dheeravath, Venkateswarlu
,
Cohen, Y.
,
Alchanatis, V.
,
Goldshlager, N.
,
Ben-Dor, E.
,
Vithanage, Jagath
,
Manthrithilake, Herath
,
Kendjabaev, S.
,
Isaev, S.
,
[Water productivity mapping (WPM) using Landsat ETM+ data for the irrigated croplands of the Syrdarya River Basin in Central Asia]
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Water productivity mapping (WPM) using Landsat ETM+ data for the irrigated croplands of the Syrdarya River Basin in Central Asia
Biradar, Chandrashekhar M.
,
Thenkabail, Prasad S.
,
Islam, Aminul
,
Anputhas, Markandu
,
Tharme, Rebecca E.
,
Vithanage, Jagath
,
Alankara, Ranjith
,
Gunasinghe, Sarath
,
[Establishing the best spectral bands and timing of imagery for land use-land cover (LULC) class separability using Landsat ETM+ and Terra MODIS data]
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Establishing the best spectral bands and timing of imagery for land use-land cover (LULC) class separability using Landsat ETM+ and Terra MODIS data