Abstract
The relationship between the leaf area index (LAI) of temperate coniferous forests in the western United States and Thematic Mapper (TM) data corrected for atmospheric effects and Sun-surface-sensor geometry was influenced by canopy closure, understory vegetation and background reflectance. Strong inverse curvilinear relationships were observed between coniferous forest LAI and both TM bands 3 (0.63-0.69 μm) and 5 (1.55-1.75μm). The inverse relationships are explained by increased reflectance of understory vegetation and background in open stands of lower LAI and decreased reflectance of the overstory in closed canopy stands with higher LAI. A strong positive relationship was observed between LAI and TM band 4 (0.76-0.90/μm) radiance in stands with greater than 89 per cent canopy closure. Open stands with low overstory LAI had elevated band 4 radiances caused by understory vegetation and/or a highly reflective granite background. Old growth stands with incomplete overstories had low band 4 radiances as a result of less reflective forest litter and shadows. A ratio of band 4/band 3 compensated for the elevated band 4 radiance in open stands with vegetated or highly reflective backgrounds, but did not compensate for the low band 4 radiance in old growth stands with less reflective backgrounds of forest litter and shadows. Analysis of atmospheric and Sun-surface-sensor geometry corrections applied to the TM data indicated that path radiance contributed approximately 50 per cent of the radiance in TM band 3,20 per cent in band 4, and less than 10 per cent in band 5.
| Original language | English |
|---|---|
| Pages (from-to) | 95-111 |
| Number of pages | 17 |
| Journal | International Journal of Remote Sensing |
| Volume | 11 |
| Issue number | 1 |
| DOIs | |
| State | Published - Jan 1990 |
Funding
The authors gratefully acknowledge the efforts of Kurt Teuber, formerly of the School of Forestry, University of Montana and currently with the United States Department of Agriculture Forest Service's Southern Forest Experimental Station, for collecting and processing the field data, and of Don Card of NASA's Ames Research Center, for assistance with the statistical analysis. We also thank Paul Curran and Jennifer Dungan for reviewing an earlier version of this manuscript. This research was supported by grants from the NASA Global Biology Program, Grant 199-30-72-08 and the NASA Terrestrial Ecosystems Program, Grant Number 677-21-31, as well as Ames Joint Research Interchange NCA2-0R475-301 with the University of Montana.
| Funders | Funder number |
|---|---|
| National Aeronautics and Space Administration | 199-30-72-08, 677-21-31 |
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