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Crop classification using airborne radar and landsat data. [colby, kansas
| Content Provider | NASA Technical Reports Server (NTRS) |
|---|---|
| Author | Shanmugam, K. S. Li, R. Y. |
| Copyright Year | 1981 |
| Description | Airborne radar data acquired with a 13.3 GHz scatterometer over a test-site near Colby, Kansas were used to investigate the statistical properties of the scattering coefficient of three types of vegetation cover and of bare soil. A statistical model for radar data was developed that incorporates signal-fading and natural within-field variabilities. Estimates of the within-field and between-field coefficients of variation were obtained for each cover-type and compared with similar quantities derived from LANDSAT images of the same fields. The classification accuracy provided by LANDSAT alone, radar alone, and both sensors combined was investigated. The results indicate that the addition of radar to LANDSAT improves the classification accuracy by about 10; percentage-points when the classification is performed on a pixel basis and by about 15 points when performed on a field-average basis. |
| File Size | 1662134 |
| Page Count | 41 |
| File Format | |
| Alternate Webpage(s) | http://archive.org/details/NASA_NTRS_Archive_19830017853 |
| Archival Resource Key | ark:/13960/t72v7c766 |
| Language | English |
| Publisher Date | 1981-02-01 |
| Access Restriction | Open |
| Subject Keyword | Earth Resources And Remote Sensing Classifications Earth Resources Program Radar Data Satellite Observation Farm Crops Kansas Crop Identification Scatterometers Aerial Reconnaissance Accuracy Agristars Project Airborne Radar Vegetation Ntrs Nasa Technical Reports Server (ntrs) Nasa Technical Reports Server Aerodynamics Aircraft Aerospace Engineering Aerospace Aeronautic Space Science |
| Content Type | Text |
| Resource Type | Technical Report |
