| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 6347223 | Remote Sensing of Environment | 2013 | 18 Pages |
Abstract
⺠Accurate retrieval of spruce leaf chlorophyll content from airborne spectral images. ⺠Combination of PROSPECT-DART radiative transfer models with continuum removal. ⺠New leaf chlorophyll estimating optical index termed ANCB650-720. ⺠Performance of ANCB650-720 comparable to neural network and other optical indices. ⺠Potential to validate chlorophyll satellite maps of coarser spatial resolution.
Keywords
Related Topics
Physical Sciences and Engineering
Earth and Planetary Sciences
Computers in Earth Sciences
Authors
ZbynÄk Malenovský, Lucie Homolová, Raúl Zurita-Milla, Petr LukeÅ¡, VÄroslav Kaplan, Jan HanuÅ¡, Jean-Philippe Gastellu-Etchegorry, Michael E. Schaepman,