Journal
PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING
Volume 77, Issue 12, Pages 1241-1248Publisher
AMER SOC PHOTOGRAMMETRY
DOI: 10.14358/PERS.77.12.1241
Keywords
-
Categories
Funding
- NOAA Earth System Research Laboratory Physical Sciences Division [NA05OAR4601137]
- BLM Owyhee Uplands Pilot Project [DLA060249]
Ask authors/readers for more resources
Pinyon-juniper woodlands comprise the third most common land-cover type in the United States and have been documented to have drastically increased both in density and extent in recent decades. We explored Landsat-5 TM and Light Detection and Ranging (lidar) data, individually and fused together, for estimating sub-pixel juniper cover. Linear spectral unmixing (1,814, Constrained Energy Minimization (CEM), and Mixture Tuned Matched Filtering (MTMF) techniques were compared along with spectral-lidar fusion approaches. None of the Landsat-5 TM-derived estimates were significantly correlated with field-measured juniper cover (n = 100), while lidar-derived estimates were strongly correlated (R(2) = 0.74, p-value <0.001). Fusion of these estimates produced superior results to both classifications individually (R(2) = 0.80, p-value <0.001). The MTMF technique performed best, while a multiple regression-based fusion was the best approach to combining the two data sources. Future studies can use the best sub-pixel classification and fusion approach to quantify changes in associated ecosystem properties such as carbon.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available