The phenology of crops such as corn, cotton, soybeans, sorghum, sunflowers, and rice and their observed signatures on LANDSAT imagery was studied. This was accomplished by photographing the various crops in segments 275 and 276 located in Wharton County, Texas and comparing those photographs with LANDSAT imagery of the same dates. These comparisons gave insight as to why a particular crop growth stage appeared as a definite signature on LANDSAT and how the percentage of ground cover of various crops affected the signatures on LANDSAT imagery. Numerous crop growth stages could not be directly compared due to cloud cover during several LANDSAT overpasses
The origins, development, and logic of the indices are discussed. The relationships of the indices t...
The author has identified the following significant results. Comparison of ERTS-1 imagery of three d...
The author has identified the following significant results. Photointerpretation of S190A and S190B ...
The results of the Domestic Crops and Land Cover Classification and Clustering study on large area c...
The author has identified the following significant results. Fine resolution M7 multispectral scanne...
Classification and technology development for area estimation of corn, soybeans, wheat, barley, and ...
Automated information extraction procedures for analysis of multitemporal LANDSAT data in non-U.S. c...
Optimal LANDSAT image dates for 1980 were identified based on the weekly crop-weather reports for Co...
The author has identified the following significant results. Software development for a computer-aid...
The author has identified the following significant results. LANDSAT MSS data was adequate to accura...
The objectives of the research task for crop identification technology assessment for remote sensing...
Research activities in support of AgRISTARS Inventory Technology Development Project in the use of a...
Research supporting the use of remote sensing for inventory and assessment of agricultural commoditi...
The feasibility of the technique using the Earth Resources Technology Satellite (LANDSAT-2) multispe...
The development of LANDSAT-based through-the-season labeling procedures for corn and soybeans is dis...
The origins, development, and logic of the indices are discussed. The relationships of the indices t...
The author has identified the following significant results. Comparison of ERTS-1 imagery of three d...
The author has identified the following significant results. Photointerpretation of S190A and S190B ...
The results of the Domestic Crops and Land Cover Classification and Clustering study on large area c...
The author has identified the following significant results. Fine resolution M7 multispectral scanne...
Classification and technology development for area estimation of corn, soybeans, wheat, barley, and ...
Automated information extraction procedures for analysis of multitemporal LANDSAT data in non-U.S. c...
Optimal LANDSAT image dates for 1980 were identified based on the weekly crop-weather reports for Co...
The author has identified the following significant results. Software development for a computer-aid...
The author has identified the following significant results. LANDSAT MSS data was adequate to accura...
The objectives of the research task for crop identification technology assessment for remote sensing...
Research activities in support of AgRISTARS Inventory Technology Development Project in the use of a...
Research supporting the use of remote sensing for inventory and assessment of agricultural commoditi...
The feasibility of the technique using the Earth Resources Technology Satellite (LANDSAT-2) multispe...
The development of LANDSAT-based through-the-season labeling procedures for corn and soybeans is dis...
The origins, development, and logic of the indices are discussed. The relationships of the indices t...
The author has identified the following significant results. Comparison of ERTS-1 imagery of three d...
The author has identified the following significant results. Photointerpretation of S190A and S190B ...