Mapping the Expansion of Boom Crops in Mainland Southeast Asia Using Dense Time Stacks of Landsat Data
Dataset overview: We mapped land use land cover changes with a focus on the expansion of selected boom crops (i.e. rubber, cashews, coffee, eucalyptus, and sugarcane) for seven Landsat footprints in Mainland Southeast Asia (125050, 125051, 126049, 126050, 129046, 130047, 131046) from 2000-2014. The paper describing the methods was published in 2017 (Hurni et al. 2017).
We performed a multi-date composite change detection technique using a dense-time stack of Landsat data from 2000-2014 to map land use and land cover changes in Mainland Southeast Asia with a focus on the expansion of boom crops, primarily tree crops. Seven selected Landsat footprints were classified to provide information on land use and land cover change (e.g. forests, rotational agriculture, conversion to annual crops) as well as information on the expansion of boom crops (rubber, cashews, coffee, eucalyptus, and sugarcane) in 3-year periods from 2000-2014 at 30m resolution. Classification results, training points, and verification points can be downloaded for each footprint. Further details on the classification approach and results are provided in Hurni et al. 2017.
Hurni, Kaspar, Annemarie Schneider, Andreas Heinimann, Duong Nong, and Jefferson Fox. 2017. “Mapping the Expansion of Boom Crops in Mainland Southeast Asia Using Dense Time Stacks of Landsat Data.” Remote Sensing 9 (4):320.