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[1] Recent empirical studies have shown that multi-angle spectral data can be useful for predicting canopy height, but the physical reason for this correlation was not understood. We follow the concept of canopy spectral invariants, specifically escape probability, to gain insight into the observed correlation. Airborne Multi-Angle Imaging Spectrometer(More)
—A significant impediment to forest managers has been the difficulty in obtaining large-area forest structure and fuel characteristics at useful resolutions and accuracies. This paper demonstrates how LIDAR data were used to predict canopy bulk density (CBD) and canopy base height (CBH) for an area in the Sierra National Forest. The LIDAR data were used to(More)
Canopy structure, the vertical distribution of canopy material, is an important element of forest ecosystem dynamics and habitat preference. Although vertical stratification, or " canopy layering, " is a basic characterization of canopy structure for research and forest management, it is difficult to quantify at landscape scales. In this paper we describe(More)
With laser altimetry becoming increasingly accepted by the global Earth science community as a source for accurate topographic data, there is now a desire to apply this technology to large area mapping. Commonly, airborne laser systems provide data at several meter resolution and across swaths up to 1-2 km in width. Economic factors drive commercial systems(More)
As part of the NASA's DESDynI mission, global elevation profiles from contiguous 25 m footprint Lidar measurements will be made. Here we present results of a performance simulation of a single pass of the multi-beam Lidar instru ment over uplifted marine terraces in southern Alaska. The significance of the Lidar simulations is that surface topography would(More)
d USDA/ARS Jornada Experimental Range Many science questions in large-scale terrestrial ecology are concerned with changes in the Earth's carbon cycle and ecosystems and the consequences for the Earth's carbon budget, ecosystem sustainability, and biodiversity [1]. To address these questions, we must know the distribution of aboveground woody carbon stocks;(More)
In the past, obtaining reliable measurements of key forest canopy metrics has been difficult, even after the development of remote sensing technology. Fortunately, next-generation lidar systems are proving to be useful tools for deriving critical canopy measurements, such as height, structure and biomass. These studies have all focused on empirical(More)