Hyperspectral and Hyperspatial Analysis
The hyperspectral characteristics of agricultural crops have been studied by Prasad Thenkabail et al to explore and identify the most useful wavebands and indices. Optimal hyperspectral wavebands have been recommended to study agricultural crops. The study is expected to contribute to the investigation of agricultural crops using new satellite sensors and/or in the design of future sensors.
Thenkabail, P.S. 2003. Quantitative Biophysical and Yield Information for Precision Farming From Near-Real Time and Historical Landsat TM Images INT J REMOTE SENS, 24 (14): 2879-2904 JUL 20 2003
Thenkabail, P.S., Smith, R.B., and De Pauw, E., 2002. Evaluation of Narrowband and Broadband Vegetation Indices for Determining Optimal Hyperspectral Wavebands for Agricultural Crop Characterization PE&RS, 68(6): June, 2002 (157 kb)
- Figures for Evaluation of Narrowband and Broadband Vegetation Indices (Large 399 kb)
Thenkabail, P.S. 2001. Optimal Hyperspectral Narrowbands for Discriminating Agricultural Crops In press - accepted for publication in Remote Sensing Reviews (136 kb)
- Figures for Optimal Hyperspectral Narrowbands (Large 267 kb)
The latest generation of new satellite sensors provide much greater spatial resolution than was previously available. Some of these hyperspatial datasets are being investigated for precision farming studies.