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Sample project: establishing a global forest monitoring capability using multi-resolution and multi-temporal remotely sensed data sets

The NASA LCLUC Program: an interdisciplinary approach to studying land-cover and land-use change

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Abstract

Quantifying rates of forest-cover change is important for improved carbon accounting and climate change modeling, management of forestry and agricultural resources, and biodiversity monitoring. A practical solution to examining trends in forest cover change at global scale is to employ remotely sensed data. Satellite-based monitoring of forest cover can be implemented consistently across large regions at annual and inter-annual intervals. This research extends previous research on global forest-cover dynamics and land-cover change estimation to establish a robust, operational forest monitoring and assessment system. The approach integrates both MODIS and Landsat data to provide timely biome-scale forest change estimation. This is achieved by using annual MODIS change indicator maps to stratify biomes into low, medium and high change categories. Landsat image pairs can then be sampled within these strata and analyzed for estimating area of forest cleared.

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Additional Publication Details

Publication type:
Article
Publication Subtype:
Journal Article
Title:
Sample project: establishing a global forest monitoring capability using multi-resolution and multi-temporal remotely sensed data sets
Series title:
The NASA LCLUC Program: an interdisciplinary approach to studying land-cover and land-use change
Year Published:
2009
Language:
English
Publisher:
University of Maryland
Publisher location:
College Park
Contributing office(s):
Earth Resources Observation and Science (EROS) Center
Description:
1 p.
Larger Work Type:
Report
Larger Work Subtype:
Other Report
Larger Work Title:
The NASA LCLUC Program: an interdisciplinary approach to studying land-cover and land-use change
First page:
3
Last page:
3
Number of Pages:
1