Vegetation indices from Landsat-5 Thematic Mapper (TM) observations on single dates in August 1988, a drought year, and August 1989, a year with wet early season conditions, were used to study the impact of agricultural management and cultural practices on soybean (Glycine max) and corn (Zea mays...
Thenkabail, Prasad S.
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Ward, A.D.
,
Lyon, J.
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[Impacts of agricultural management practices on soybean and corn crops evident in groundtruth data and thematic mapper vegetation indices]
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Impacts of agricultural management practices on soybean and corn crops evident in groundtruth data and thematic mapper vegetation indices
This study used Landsat-5 Thematic Mapper (TM) data to develop empirical models for determining soybean and corn crop yield, leaf area index, wet biomass, dry biomass and plant height. Ground-truth data was obtained from more than 50 commercial farms in Ohio, USA, during 1988 and 1989. Several si...
Thenkabail, Prasad S.
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Ward, A.D.
,
Lyon, J.
,
[Landsat 5 thematic mapper models of soybean and corn crop characteristics]
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Landsat 5 thematic mapper models of soybean and corn crop characteristics
The use of thematic mapper data to study crop growth parameters has primarily been conducted with hand-held and truck-mounted radiometers. In addition, most studies have not used mid-infrared bands to develop vegetation indices. This study used Landsat thematic mapper data and crop parameter data...
Thenkabail, Prasad S.
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Ward, A.D.
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Lyon, J.
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Merry, C.J.
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[Thematic mapper vegetation indices for determining soybean and corn growth parameters]
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Thematic mapper vegetation indices for determining soybean and corn growth parameters
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.
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Thenkabail, Prasad S.
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Platonov, Alexander
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Xiao, X.
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Geerken, R.
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Noojipady, P.
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Turral, H.
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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
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Thenkabail, Prasad S.
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Biradar, Chandrashekhar M.
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Platonov, Alexander
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Gumma, Murali K.
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Dheeravath, Venkateswarlu
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Cohen, Y.
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Goldlshleger, F.
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Ben-Dor, E.
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Alchanatis, V.
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Vithanage, Jagath
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Anputhas, Markandu
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[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
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Thenkabail, Prasad S.
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Biradar, Chandrashekhar M.
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Xueliang Cai
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Gumma, Murali K.
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Dheeravath, Venkateswarlu
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Cohen, Y.
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Alchanatis, V.
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Goldshlager, N.
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Ben-Dor, E.
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Vithanage, Jagath
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Manthrithilake, Herath
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Kendjabaev, S.
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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
Thenkabail, Prasad S.
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Gangadhara Rao, Parthasaradhi
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Biggs, Trent W.
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Krishna, M.
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Turral, Hugh
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[Spectral matching techniques to determine historical land use/Land cover (LULC) and irrigated areas using time-series 0.1 degree AVHRR Pathfinder Datasets]
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Spectral matching techniques to determine historical land use/Land cover (LULC) and irrigated areas using time-series 0.1 degree AVHRR Pathfinder Datasets
The overarching goal of this study was to develop a comprehensive methodology for mapping natural and human-made wetlands using fine resolution Landsat enhanced thematic mapper plus (ETM+), space shuttle radar topographic mission digital elevation model (SRTM DEM) data and secondary data. First, ...
Islam, Aminul
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Thenkabail, Prasad S.
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Kulawardhana, Wasantha
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Alankara, Ranjith
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Gunasinghe, Sarath
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Edussuriya, C.
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Gunawardana, A.
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[Semi-automated methods for mapping wetlands using Landsat ETM+ and SRTM data]
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Semi-automated methods for mapping wetlands using Landsat ETM+ and SRTM data
Biradar, Chandrashekhar M.
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Thenkabail, Prasad S.
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Islam, Aminul
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Anputhas, Markandu
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Tharme, Rebecca E.
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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
Rice is the most consumed staple food in the world and a key crop for food security. Much of the world’s rice is produced and consumed in Asia where cropping intensity is often greater than 100% (more than one crop per year), yet this intensity is not sufficiently represented in many land use pro...
Gumma, Murali K.
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Thenkabail, Prasad S.
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Maunahan, A
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Islam, S.
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Nelson, A.
,
[Mapping seasonal rice cropland extent and area in the high cropping intensity environment of Bangladesh using MODIS 500 m data for the year 2010]
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Mapping seasonal rice cropland extent and area in the high cropping intensity environment of Bangladesh using MODIS 500 m data for the year 2010