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.
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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.
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[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
This paper presents and illustrates a methodology for rational selection of benchmark research areas (or benchmark watersheds) for technology development research activities in the inland valley (IV) agroecosystems of West and Central Africa. This was done through a two-tier characterization appr...
Thenkabail, Prasad S.
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Nolte, C.
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Lyon, J.
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[Remote sensing and GIS modeling for selection of a benchmark research area in the inland valley agroecosytems of West and Central Africa]
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Remote sensing and GIS modeling for selection of a benchmark research area in the inland valley agroecosytems of West and Central Africa