Abstract
| Original language | English |
|---|---|
| Title of host publication | Multispectral and Microwave Sensing of Forestry, Hydrology, and Natural Resources |
| Publisher | International Society for Optics and Photonics SPIE |
| Pages | 200-210 |
| Number of pages | 12 |
| DOIs | |
| Publication status | Published - 31 Jan 1995 |
| MoE publication type | Not Eligible |
| Event | International Conference on Satellite Remote Sensing - Rome, Italy Duration: 26 Sep 1994 → 30 Sep 1994 |
Conference
| Conference | International Conference on Satellite Remote Sensing |
|---|---|
| Country | Italy |
| City | Rome |
| Period | 26/09/94 → 30/09/94 |
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Keywords
- remote sensing
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Estimation of biomass and other characteristics of boreal forest over extensive areas using NOAA-AVHRR data. / Häme, Tuomas; Salli, Arto; Andersson, Kaj; Lohi, Anssi; Rauste, Yrjö.
Multispectral and Microwave Sensing of Forestry, Hydrology, and Natural Resources. International Society for Optics and Photonics SPIE, 1995. p. 200-210.Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review
TY - GEN
T1 - Estimation of biomass and other characteristics of boreal forest over extensive areas using NOAA-AVHRR data
AU - Häme, Tuomas
AU - Salli, Arto
AU - Andersson, Kaj
AU - Lohi, Anssi
AU - Rauste, Yrjö
N1 - Project code: AUT3507
PY - 1995/1/31
Y1 - 1995/1/31
N2 - Models using NOAA AVHRR data for estimating the areal distribution of biomass over the Boreal coniferous zone are developed. The method uses corresponding models that are estimated using Landsat TM data as input, and includes a mosaicing scheme for AVHRR images to cover very extensive areas. The estimation method may be adjusted to some other forest characteristics too.
AB - Models using NOAA AVHRR data for estimating the areal distribution of biomass over the Boreal coniferous zone are developed. The method uses corresponding models that are estimated using Landsat TM data as input, and includes a mosaicing scheme for AVHRR images to cover very extensive areas. The estimation method may be adjusted to some other forest characteristics too.
KW - remote sensing
U2 - 10.1117/12.200760
DO - 10.1117/12.200760
M3 - Conference article in proceedings
SP - 200
EP - 210
BT - Multispectral and Microwave Sensing of Forestry, Hydrology, and Natural Resources
PB - International Society for Optics and Photonics SPIE
ER -