Predictions of Tropical Forest Biomass and Biomass Growth Based on Stand Height or Canopy Area Are Improved by Landsat-Scale Phenology across Puerto Rico and the U.S. Virgin Islands.
David GwenziEileen H. HelmerXiaolin ZhuMichael A. LefskyHumfredo Marcano-VegaPublished in: Remote. Sens. (2017)
Keyphrases
- aerial photographs
- multispectral
- fermentation process
- remote sensing data
- improved algorithm
- image data
- land cover
- satellite images
- supervised classification
- small scale
- real time
- medium term
- databases
- carbon dioxide
- information retrieval
- remote sensing images
- learning algorithm
- database
- remote sensing
- building blocks
- scale space
- multiscale
- social networks