Summary form only given. The design, implementation, and results of multisite, multiyear experiments to measure and model the multispectral reflectance of agricultual crops in relation to their biophysical characteristics are described. The experimental approach involved multitemporal reflectance measurements, together with detailed measurements of the agronomic characteristics, of crop canopies. One result of the field measurements and analyses was a quantitative description of the complex relationships among crop canopy, soil, atmosphere, and illumination and sensor geometries. Leaf area index was identified as a key biophysical parameter linking crop physiology and multispectral remote sensing. Quantitative understanding and models of this relationship led to the development of spectral-temporal profile models for crop species identification and development state estimation. Also important has been the development of conceptual approaches and models for spectral estimation of leaf area index and light interception of crop canopies as inputs to crop growth and yield models.
|Original language||English (US)|
|Title of host publication||Digest - International Geoscience and Remote Sensing Symposium (IGARSS)|
|Editors||Keith R. Carver|
|Number of pages||1|
|State||Published - Dec 1 1985|