The initial experiments indicate the proposed vegetation index is robust to the low vegetation and sensitive to high vegetation, and has potential to be an ...
objective of this study is to empirically evaluate several selected alternate vegetation indices for crop vegetation condition monitoring and to find a better ...
The continuous crop condition monitoring with a full geospatial coverage and sufficient granularity throughout the season is critical to decision making in ...
The initial experiments indicate the proposed vegetation index is robust to the low vegetation and sensitive to high vegetation, and has potential to be an ...
The initial experiments indicate the proposed vegetation index is robust to the low vegetation and sensitive to high vegetation, and has potential to be an ...
Many algorithms have been developed for the remote estimation of biophysical characteristics of vegetation, in terms of combinations of spectral bands, ...
Among the tested indices, SR was more sensitive to high corn biomass, while GNDVI, NDVI, EVI, and SAVI were more sensitive to low values. Overall, all indices ...
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This study demonstrates the applicability of RapidEye multi-spectral data for estimation of LAI and biomass of two crop types (corn and soybean)
Jun 9, 2022 · Abstract: Reflectance-based vegetation indices can be valuable for assessing crop nitrogen (N) status and predicting grain yield.
Abstract. The use of thematic mapper data to study crop growth pa- rameters has primarily been conducted with hand-held and truck-mounted radiometers.