Semantic Scholar
Open Access
2000
671 sitasi
Lidar Remote Sensing for Forestry
R. Dubayah
J. Drake
Abstrak
Lidar remote sensing, which directly measures vertical forest structure, is a breakthrough technology with many forestry applications. Using the laser light equivalent of radar, lidar instruments accurately estimate such important forest structural characteristics as canopy heights, stand volume, basal area, and above-ground biomass. And because subcanopy vegetation height is a function of species composition, climate, and site quality, the results can be used for land cover classification, habitat mapping, and forest wildlife management.
Topik & Kata Kunci
Penulis (2)
R
R. Dubayah
J
J. Drake
Akses Cepat
Informasi Jurnal
- Tahun Terbit
- 2000
- Bahasa
- en
- Total Sitasi
- 671×
- Sumber Database
- Semantic Scholar
- DOI
- 10.1093/JOF/98.6.44
- Akses
- Open Access ✓