NOTICE -- The LBA-ECO Project website is no longer being supported.  This archive is a snapshot, as it existed in 2013, of the LBA-ECO website, maintained by NASA Goddard Space Flight Center, and now archived at the ORNL DAAC.  Links to external websites may be inactive. Final data products from the LBA project can be found at the ORNL DAAC.
banner
banner banner banner banner banner banner
banner banner banner banner banner banner banner
home aboutlibrarynews archivecontacts banner

spacer
banner
Investigations
Overview
Abstracts & Profiles
Publications
Research Sites
Meetings
Synthesis Groups
LBA-HYDROMET
LBA-Air-ECO
Logistics
Overview
Field Support
Travel
Visa
Shipping
Data
  Overview
Find LBA Data
Investigator Checklist
Process & Policy
Documentation & Archive
Training & Education
  Overview
Activities Summary
T&E Goals
Student Opportunities
  Folha Amazônica
 
spacer

Investigation:

LC-08 (Moore / Nobre)

LBA Dataset ID:

LC08_Poster_001

Originator(s):

1. Braswell, Rob H.
2. Frolking, Steve
3. Hagen, Stephen Charles
4. Hurtt, George C.
5. Moorcroft, Paul R.
6. Moore, Berrien
7. Nobre, Carlos Afonso
      8. Pacala, Steve
9. Peterson, Bruce J.
10. Tian, Hanqin
11. Vorosmarty, Charles J.
12. Wildes, Pam
13. Xiao, Xiangming

Point(s) of Contact:

Hagen, Stephen Charles (hagen@eos.sr.unh.edu)

Dataset Abstract:

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.

Beginning Date:

1982-01-01

Ending Date:

1998-01-01

Metadata Last Updated on:

2009-06-19

Data Status:

Not Applicable

Access Constraints:

Public

Distribution Contact(s):

Stephen Hagen

Access Instructions:

Public

Data Access:

IMPORTANT: The LBA-ECO Project website is no longer being supported. Links to external websites may be inactive. Final data products from the LBA project can be found at the ORNL DAAC. Please follow the fair use guidelines found in the dataset documentation when using or citing LBA data.
Poster(s):


Keywords - Theme:

Parameter Topic Term Source Sensor
LAND CLASSES LAND SURFACE LAND USE/LAND COVER LANDSAT (LAND REMOTE-SENSING SATELLITE) TM (THEMATIC MAPPER)
LAND CLASSES LAND SURFACE LAND USE/LAND COVER AVHRR (ADVANCED VERY HIGH RESOLUTION RADIOMETER)

Uncontrolled Theme Keyword(s):  AVHRR, Amazon, Basin, Cerrado, Deforestation, High Resolution, Land Cleared, Land Use, Land Use Change, Moderate Resolution, Remote Sensing, TM, Time Series

Keywords - Place (with associated coordinates):

Region
(click to view profile)
Site
(click to view profile)
North South East West
Amazon Basin Amazon Basin 5.00000 -18.00000 -35.00000 -80.00000

Skip navigation linksHOME | ABOUT | LIBRARY | NEWS ARCHIVE | CONTACTS | INVESTIGATIONS | LOGISTICS | DATA |TRAINING & EDUCATION

NASA logo
ORNL DAAC
Get Acrobat Reader