Despite holding substantial ecological value, wetlands in the United States have experienced a significant decline in both area and function over the past century with the majority of freshwater wetland loss attributed to agricultural conversion. Agriculture is the second largest industry in the State of Oregon and the State places...
Remote sensing is the most practical way to acquire large amounts of land cover data for monitoring and understanding environmental change, so it is important to be able to map land cover from imagery. Maps defining land cover patches as polygons rather than pixels greatly improve processing efficiency in models...
Improved monitoring of forest biomass is needed to quantify natural and anthropogenic effects on the terrestrial carbon cycle. Landsat's temporal and spatial coverage, fine spatial grain, and long history of earth observations provide a unique opportunity for measuring biophysical properties of vegetation across large areas and long time scales. However,...
Accurate estimation of live and dead biomass in forested ecosystems is important for
studies of carbon dynamics, biodiversity, and wildfire behavior, and for forest management.
Lidar remote sensing has been used successfully to estimate live biomass, but studies focusing
on dead biomass are rare. We used lidar data, in conjunction...
This study aims to compare different methods of obtaining maximum growing season leaf area index (LAI) maps using remote sensing data, LAI and tree cover field data in a boreal forest near Thompson, Manitoba, Canada. The comparison includes aspatial methods such as traditional regression, inverse regression and reduced major axis,...
Protracted drought in the southwest U.S. has had significant impacts on the region’s keystone ecosystem, the pinyon-juniper (PJ) woodlands. Drought conditions in 9 of the last 10 years, exacerbated by extreme drought in one year, stressed the pinyon pine (Pinus edulis) trees, making them highly vulnerable to native ips beetles...