- Related Research Areas
- Carbon Cycle & Ecosystems
The motivations for this study are two twofold: (a) the need for spatially resolved accurate estimates of forest woody biomass to improve our understanding of the dynamics of source/sink relations in the terrestrial carbon cycle, (b) characterizing changes in the three-dimensional structure of forests in relation to natural and anthropogenic disturbances and subsequent recovery within the context of habitat preservation, biodiversity and resource management. The objective of this study is to develop the research basis for remote sensing of variables descriptive of 3D forest structure (tree height, crown height and diameter, ground cover and tree density). The methodology is based on the novel idea of retrieving the pair correlation function that uniquely characterizes the horizontal structure of a forest stand by synergistically exploiting the information content of lidar, multispectral and hyperspectral remote sensing data. We propose to develop the theoretical basis of this methodology and test it with experimental data using existing ground and aircraft-based remote sensing data from various sites in the USA. This proof-of-concept study is expected to contribute to the development of operational algorithms for retrieval of forest 3D structure as part of the proposed NASA DESDnyI mission.
Project PI: Ranga Myneni/Boston University
Department of Geography 675 Commonwealth Avenue Boston University Boston, MA 02215 USA
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