Tool for Calculating LULC Transitions and Deforestation Rates Using Incomplete Remote Sensing Images, v1.0

VT0006

Tool for Calculating LULC Transitions and Deforestation Rates Using Incomplete Remote Sensing Images, v1.0

REDD

This tool calculates historical deforestation rates using incomplete remote sensing imagery when complete scenes are not available. A remote sensing image may be incomplete due to (a) atmospheric conditions such as cloud and shadow cover, dust or smoke and/or (b) sensor-related errors such as anomalous speckles, data saturation, spatial offsets or missing data. This tool is intended to be used in regions where limited archival imagery exists such as regions that have persistent cloud cover or where accessing existing complete archival imagery is prohibitive.

This tool assumes that project proponents have already conducted a classification of the incomplete remote sensing images into appropriate land use/ land cover (LULC) categories using established procedures. The tool describes how a series of incomplete classified remote sensing images can be combined to calculate a robust estimate of historical deforestation and degradation rates and transition matrices.

 

Tool Demonstration - Excel workbook

This methodology was open for public comment from 6 March 2012 until 4 April 2012. Public comments are closed.

Comments (2)

Kyle Holland
ecoPartners
United States
Florian Reimer ...
South Pole Carbon Asset Management
Mexico
Sectoral Scope
14. Agriculture, Forestry, Land Use
First Assessor
SCS Global Services
Status
Approved
Approval Date
Monday, 11 January 2016