Publication Date:
2019-07-20
Description:
Previous studies have quantified the expansion of gold mining-related forest loss (Espejo et al., 2018; Asner et al., 2017; Swenson et al., 2011) in the Madre de Dios region of Peru. This study uses Spectral Mixture Analysis (SMA) in a cloud-computing platform to map general forest loss within and outside key land tenure areas in this region. Landsat 7 Enhanced Thematic Mapper plus (ETM+) and Landsat 8 Operational Land Imager (OLI) Surface Reflectance data were utilized spanning 2013 and 2018 and spectral unmixing was performed to identify patterns of forest loss for each year. Planet Scope and RapidEye imagery were used to conduct an accuracy assessment and to identify potential drivers.
Keywords:
Earth Resources and Remote Sensing
Type:
MSFC-E-DAA-TN67447
,
2019 CPU2AL Science and Technology Open House (STOH); Apr 03, 2019 - Apr 05, 2019; Mobile, AL; United States
Format:
application/pdf
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