Investigating the potential of GIMMS and MODIS NDVI data sets for estimating gross primary productivity in Harvard Forest.
Xiaolei YuZhaocong WuXulin GuoPublished in: MultiTemp (2013)
Keyphrases
- data sets
- remote sensing
- land cover
- remote sensing data
- multispectral
- change detection
- real world data sets
- real world
- satellite data
- decision trees
- software development
- remote sensing images
- case study
- image sequences
- land cover classification
- hyperspectral
- satellite images
- database
- multiscale
- training data
- image processing
- computer vision