Paper
8 November 2014 Monitoring phenological stages of swiddening in northern Laos during the dry season
Peng Li, Zhiming Feng
Author Affiliations +
Proceedings Volume 9260, Land Surface Remote Sensing II; 926002 (2014) https://doi.org/10.1117/12.2068822
Event: SPIE Asia-Pacific Remote Sensing, 2014, Beijing, China
Abstract
Swidden cultivation is a unique land use category and has undergone rapid transitions in the uplands of Mainland Southeast Asia. Monitoring the scale and magnitude of changes is very challenging due to the year-to-year fluctuations of land cover, which substantially constrains our understanding of the interactions between swidden system and the implementation of Reducing Emissions from Deforestation and forest Degradation (REDD) and its environmental effects. In this study, annual time-series of Landsat TM/ETM+ images in 2005 and 2012-2013 were used to observe the temporal development of swidden practice during the dry season. Three vegetation indices including Normalized Difference Vegetation Index (NDVI), Land Surface Water Index (LSWI) and Normalized Burn Ratio (NBR) were applied to characterize the different development phases (from pre-felling, felling/slashing, sun-air drying, burning to post-burn) at both the pixel and landscape levels. The results showed that: 1) the swidden system in the uplands of Laos generally starts the felling/slashing stage in mid-late February, keeps sun/air drying in whole March, and enters into the burning phase in April. The pre-felling phase usually ends in early February. 2) NDVI and LSWI were more sensitive to detect the changes of vegetation and moisture content from pre-felling to sun/air drying phase while NBR is more sensitive to detect fire-related disturbance. 3) The differences of NBR between pre-felling and post-burn phase were much bigger than those of NDVI and LSWI, which indicates the NBR as a potentially effective tool for detecting and mapping the spatio-temporal changes of swidden farming.
© (2014) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Peng Li and Zhiming Feng "Monitoring phenological stages of swiddening in northern Laos during the dry season", Proc. SPIE 9260, Land Surface Remote Sensing II, 926002 (8 November 2014); https://doi.org/10.1117/12.2068822
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Cited by 3 scholarly publications.
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KEYWORDS
Vegetation

Earth observing sensors

Landsat

Agriculture

Combustion

Near infrared

Clouds

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