Team Information: Investigation Team: Team ID: LC-08 (Moore / Nobre) Investigator: Name: Braswell, Rob H. Email: rob.braswell@unh.edu Investigator: Name: Frolking, Steve Email: steve.frolking@unh.edu Investigator: Name: Hagen, Steve Email: hagen@eos.sr.unh.edu Investigator: Name: Hurtt, George C. Email: George.Hurtt@unh.edu Investigator: Name: Moorcroft, Paul R. Email: paul@eno.princeton.edu Investigator: Name: Moore, Berrien Email: b.moore@unh.edu Investigator: Name: Nobre, Carlos Afonso Email: nobre@cptec.inpe.br Investigator: Name: Pacala, Steve Email: pacala@princeton.edu Investigator: Name: Peterson, Bruce J. Email: peterson@mbl.edu Investigator: Name: Tian, Hanqin Email: htian@mbl.edu Investigator: Name: Vorosmarty, Charles J. Email: charles.vorosmarty@unh.edu Investigator: Name: Wildes, Pam Email: pam.wildes@unh.edu Investigator: Name: Xiao, Xiangming Email: xiangming.xiao@unh.edu Contact Person: Name: Hagen, S. Email: hagen@eos.sr.unh.edu LBA Science Component: Land Use and Land Cover Metadata Author: Name: Hagen, S. Email: hagen@eos.sr.unh.edu Phone: 603 749 1961 Data Set Information: Data Set Title: Large Scale Remote Observations of Disturbance in the Amazon Basin Activity: Poster -- LBA Science Conference, Belem, Para, June 2000 Project: LBA (Large-Scale Biosphere-Atmosphere Experiment in the Amazon) Site Information: Site: other Time Period: Temporal Coverage: Parameter Description: Topic: LAND SURFACE Term: LAND USE/LAND COVER Parameter: LAND CLASSES Sensor: TM and AVHRR Keywords: Remote Sensing TM AVHRR Land Use High Resolution Moderate Resolution Land Use Change Amazon Basin Time Series Deforestation Land Cleared Cerrado Description: Introduction (from poster): Global biogeochemical models need land cover change estimates annually at a 0.5 degree resolution. One potential source of this annual product is an interpolation between the decadally spaced maps derived from high resolution (30-m) TM imagery. Another option is to use annual coarse resolution (8-km) AVHRR imagery. We report initial results using aggregated 48-km AVHRR data (0.5 degrees), calibrated with Landsat TM data, to evaluate historical disturbance patterns (1981-1994) for an area in the Amazon region. Optical measurements from AVHRR almost certainly contain artifacts that mask subtle year-to-year changes in reflectance associated with the removal of some small fraction of forest from a 48-km grid cell. Despite this, we have developed a model based on NDVI and TM which appears to capture some details of the spatial and temporal patterns of disturbance. Though tropical rainforest monitoring is in many ways a remote sensing worst-case scenario because of the region?s high cloud frequency and the dominance of other atmospheric constituents in the signal, this study suggests that AVHRR data contain information about disturbance patterns and rates. Data Last Modified: 20000630 Data Access Information: Data Set Status: Ready for archive Data Set Restrictions: Public Data Set Location: Anonymous ftp at the University of New Hampshire Data Center Contact: Stephen Hagen Data Set Link: URL: ftp.eos.sr.unh.edu Label: ftp.eos.sr.unh.edu