Crop identification studies using Landsat data Separation of barley from other spring small grains and corn and soybean decision logicTwo labeling procedures were developed which identify various agricultural crops through the use of Landsat data. One procedure separates barley from other spring small grains, and the other identifies corn and soybeans. For both procedures, a minimum data set (critical acquisition time) has been designated. Landsat data in both image format and various graphic displays were used along with ancillary data to obtain information which aided in labeling the spectral signatures. The corn and soybean procedure also employed a structured decision logic. Test results for the barley separation procedure emphasized the importance of obtaining a critical acquisition and showed some success especially in areas where spring crops followed the expected growth patterns. Two tests of the corn and soybean procedure produced good labeling accuracies. Problems with the procedure were easy to identify, and some solutions were implemented for the second test. Automation of various parts of the procedure and extension to other crops and regions were recommended.
Document ID
19810039224
Acquisition Source
Legacy CDMS
Document Type
Conference Proceedings
Authors
Dailey, C. L. (Lockheed Engineering and Management Services Co., Inc. Houston, TX, United States)
Register, D. T. (Lockheed Engineering and Management Services Co., Inc. Houston, TX, United States)
Abotteen, K. M. (Lockheed Engineering and Management Services Co., Inc. Houston, TX, United States)
Palmer, W. F. (Lockheed Engineering and Management Services Co., Inc. Houston, TX, United States)
Spikes, G. D. (Lockheed Engineering and Management Services Co., Inc. Houston, TX, United States)
Magness, E. R. (Lockheed Engineering and Management Services Co., Inc., Johnson Space Center Houston, Tex., United States)
Wade, L. C. (NASA Johnson Space Center Houston, Tex., United States)
Date Acquired
August 11, 2013
Publication Date
January 1, 1980
Subject Category
Earth Resources And Remote Sensing
Meeting Information
Meeting: International Symposium on Remote Sensing of Environment