Remote sensing imagery in vegetation mapping: a review
Eastern Michigan University · Wuhan University · +2 more institutions
Abstract
Mapping vegetation through remotely sensed images involves various considerations, processes and techniques. Increasing availability of remotely sensed images due to the rapid advancement of remote sensing technology expands the horizon of our choices of imagery sources. Various sources of imagery are known for their differences in spectral, spatial, radioactive and temporal characteristics and thus are suitable for different purposes of vegetation mapping. Generally, it needs to develop a vegetation classification at first for classifying and mapping vegetation cover from remote sensed images either at a community level or species level. Then, correlations of the vegetation types (communities or species)…
Citation impact
- FWCI
- 14.39
- Percentile
- 100%
- References
- 108
Authors
3Topics & keywords
- Remote sensing
- Vegetation (pathology)
- Vegetation classification
- Satellite imagery
- Land cover
- Environmental science
- Computer science
- Vegetation cover
- Life in Land