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22 October 2018 Spatio-temporal dynamics of shifting cultivation in Upland Myanmar using time series images and implications for REDD+
Siqi Lu; Chuanrong Zhang; Heli Lu
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Proceedings Volume 10777, Land Surface and Cryosphere Remote Sensing IV; 107770O (2018) https://doi.org/10.1117/12.2324267
Event: SPIE Asia-Pacific Remote Sensing, 2018, Honolulu, Hawaii, United States
Abstract
Much attention has been paid nationally and internationally to shifting cultivation in upland Myanmar since Forest Department of Myanmar indicates that it is the main underlying cause for deforestation. However, knowledge of the explicitly spatial pattern of forest lands affected by shifting cultivation, transition characteristics and the impact of shifting cultivation for Reduced emissions from deforestation and forest degradation (REDD+) is scare. In this study, the scale, intensity and duration of shifting cultivation during 2002-2016 were detected by means of MODIS time series imageries using improved vegetation change tracker (VCT) based on Integrated Forest Z-score (IFZ) derived from the spectral–temporal properties of forest lands change processes.
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Siqi Lu, Chuanrong Zhang, and Heli Lu "Spatio-temporal dynamics of shifting cultivation in Upland Myanmar using time series images and implications for REDD+", Proc. SPIE 10777, Land Surface and Cryosphere Remote Sensing IV, 107770O (22 October 2018); https://doi.org/10.1117/12.2324267
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