Active 11 January 2016
14. Agriculture, forestry, and other land use (AFOLU)
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.
Development History:
VT0006 Tool for Calculating LULC Transitions and Deforestation Rates Using Incomplete Remote Sensing Images, v1.0
Status: Active since January 11, 2016
Developer(s): Terra Global Capital (external)
Dates of Public Consultation: May 18, 2009 to June 16, 2009
Summary of Public Consultation: N/A
VVB Assessment Report(s): First Assessment Report for VT0006, v1.0 (PDF), Second Assessment Report for VT0006, v1.0 (PDF)
Resource(s): Tool Demonstration – Excel workbook (.XLSX)