TY - JOUR T1 - The effects of changes in forest biomass on radar backscatter from tree canopies JF - International Journal of Remote Sensing Y1 - 1995 A1 - Wang, Y. A1 - Davis, F. W. A1 - Melack, J. M. A1 - Kasischke, E. S. A1 - Christensen, N. L., Jr. KW - (Aerospace and Underwater Biological Effects--General KW - (Biophysics--Biocybernetics (1972- )) KW - (Ecology KW - (Mathematical Biology and Statistical Methods) KW - (Plant Physiology, Biochemistry and Biophysics--Growth, Differentiation) KW - Coniferopsida KW - Environmental Biology--Plant) KW - Gymnosperms KW - Mathematical Model KW - Methods) KW - North Carolina KW - Pine KW - Plants KW - Research Article KW - Spermatophyta KW - Spermatophytes KW - Synthetic Aperture Radar KW - Usa KW - Vascular plants VL - 16 N1 - JOURNAL ARTICLE; RESEARCH ARTICLE ER - TY - CHAP T1 - Sensitivity of fire regime in chaparral ecosystems in climate change T2 - Ecological Studies Analysis and Synthesis, Vol. 117. Global change and mediterranean-type ecosystems; International Symposium, Valencia, Spain, September 1992 Y1 - 1995 A1 - Davis, F. W. A1 - Michaelsen, J. ED - Moreno, J. M. ED - Oechel, W. C. KW - (Biophysics--Biocybernetics (1972- )) KW - (Ecology KW - (General Biology--Information, Documentation, Retrieval and Computer Applications) KW - (Mathematical Biology and Statistical Methods) KW - Book Chapter KW - California KW - Computer Simulation KW - Ecology KW - Environmental Biology--Bioclimatology and Biometeorology) KW - Environmental Biology--Plant) KW - Fire History KW - Mathematical Model KW - Meeting Paper KW - Plantae-Unspecified KW - Plants KW - Usa KW - vegetation JF - Ecological Studies Analysis and Synthesis, Vol. 117. Global change and mediterranean-type ecosystems; International Symposium, Valencia, Spain, September 1992 PB - Springer-Verlag New York, Inc. CY - New York, New York, USA; Berlin, Germany ER - TY - JOUR T1 - The effects of changes in loblolly pine biomass and soil moisture on ERS-1 SAR backscatter JF - Remote Sensing of Environment Y1 - 1994 A1 - Wang, Y. A1 - Kasischke, E. S. A1 - Melack, J. M. A1 - Davis, F. W. A1 - Christensen, N. L., Jr. KW - (Aerospace and Underwater Biological Effects--General KW - (Biochemistry--Physiological Water Studies (1970- )) KW - (Biophysics--Biocybernetics (1972- )) KW - (Ecology KW - (Forestry and Forest Products) KW - (Mathematical Biology and Statistical Methods) KW - (Plant Physiology, Biochemistry and Biophysics--Growth, Differentiation) KW - (Plant Physiology, Biochemistry and Biophysics--Water Relations) KW - (Soil Science--Fertility and Applied Studies (1970- )) KW - (Soil Science--Physics and Chemistry (1970- )) KW - Coniferopsida KW - Environmental Biology--Plant) KW - European Remote Sensing Satellite Synthetic Aperture Radar KW - Gymnosperms KW - Mathematical Model KW - Methods) KW - North Carolina KW - Plants KW - Research Article KW - Spermatophytes KW - Usa KW - Vascular plants VL - 49 N1 - JOURNAL ARTICLE; RESEARCH ARTICLE ER - TY - JOUR T1 - Regression tree analysis of satellite and terrain data to guide vegetation sampling and surveys JF - Journal of Vegetation Science Y1 - 1994 A1 - Michaelsen, J. A1 - Schimel, D. S. A1 - Friedl, M. A. A1 - Davis, F. W. A1 - Dubayah, R. C. KW - (Aerospace and Underwater Biological Effects--General KW - (Ecology KW - (General Biology--Institutions, Administration and Legislation) KW - (Methods, Materials and Apparatus, General--Field Methods) KW - (Methods, Materials and Apparatus, General--Photography) KW - Angiosperms KW - Biophysical Properties KW - Ecological Classification KW - Environmental Biology--Bioclimatology and Biometeorology) KW - Environmental Biology--Plant) KW - Gramineae KW - International Satellite Land Surface Climatology Program KW - Methods) KW - monitoring KW - Monocots KW - Plants KW - Research Article KW - Satellite Imagery KW - Spermatophytes KW - Tall Grass Prairie Landscape KW - Vascular plants AB - Monitoring of regional vegetation and surface biophysical properties is tightly constrained by both the quantity and quality of ground data. Stratified sampling is often used to increase sampling efficiency, but its effectiveness hinges on appropriate classification of the land surface. A good classification must he sufficiently detailed to include the important sources of spatial variability, but at the same time it should be as parsimonious as possible to conserve scarce and expensive degrees of freedom in ground data. As part of the First ISLSCP (International Satellite Land Surface Climatology Program) Field Experiment (FIFE), we used Regression Tree Analysis to derive an ecological classification of a tail grass prairie landscape. The classification is derived from digital terrain, land use, and land cover data and is based on their association with spectral vegetation indices calculated from single-date and multi-temporal satellite imagery. The regression tree analysis produced a site stratification that is similar to the a priori scheme actually used in FIFE, but is simpler and considerably more effective in reducing sample variance in surface measurements of variables such as biomass, soil moisture and Bowen Ratio. More generally, regression tree analysis is a useful technique for identifying and estimating complex hierarchical relationships in multivariate data sets. VL - 5 N1 - JOURNAL ARTICLE; RESEARCH ARTICLE ER -