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Reflectance of vegetation, soil, and water (Document No: 19740020767)
| Content Provider | NASA Technical Reports Server (NTRS) |
|---|---|
| Copyright Year | 1974 |
| Description | The author has identified the following significant results. The Kubelka-Munk model, a regression model, and a combination of these models were used to extract plant, soil, and shadow reflectance components of vegetated surfaces. The combination model was superior to the others; it explained 86% of the variation in band 5 reflectance of corn and sorghum, and 90% of the variation in band 6 reflectance of cotton. A fractional shadow term substantially increased the proportion of the digital count sum of squares explained when plant parameters alone explained 85% or less of the variation. Overall recognition of 94 agricultural fields using simultaneously acquired aircraft and spacecraft MSS data was 61.8 and 62.8%, respectively; recognition of vegetable fields larger than 10 acres and taller than 25 cm, rose to 88.9 and 100% for aircraft and spacecraft, respectively. Agriculture and rangeland, were well discriminated for the entire county but level 2 categories of vegetables, citrus, and idle cropland, except for citrus, were not. |
| File Size | 1680617 |
| Page Count | 43 |
| File Format | |
| Alternate Webpage(s) | http://archive.org/details/NASA_NTRS_Archive_19740020767 |
| Archival Resource Key | ark:/13960/t6h17sm8j |
| Language | English |
| Publisher Date | 1974-07-01 |
| Access Restriction | Open |
| Subject Keyword | Geophysics Water Soils Earth Resources Program Texas Vegetation Agriculture Land Use Spectral Reflectance Crop Identification 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 |
