Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
5754734 | Remote Sensing of Environment | 2017 | 13 Pages |
Abstract
Results show that the estimated DHF FAPAR products capture well the expected seasonal variation and spatial distribution while improving the temporal frequency and spatial and temporal completeness of the original Landsat-8 products. A leave one out exercise shows that the DHF values are in very good agreement with the Landsat-8 FAPAR (RMSEÂ =Â 0.05-0.14) that were not used when computing the DHF. This demonstrates the robustness of the algorithm and interest under cloudy regions. Additional comparison with ground measurements collected over 14 sunflower fields along the growth season confirms the good performances of the DHF FAPAR products (RMSEÂ =Â 0.11).
Related Topics
Physical Sciences and Engineering
Earth and Planetary Sciences
Computers in Earth Sciences
Authors
Wenjuan Li, Frédéric Baret, Marie Weiss, Samuel Buis, Roselyne Lacaze, Valerie Demarez, Jean-francois Dejoux, Marjorie Battude, Fernando Camacho,