Due to the difficult climate conditions in insular Southeast Asia, large scale land area monitoring efforts in the region have been largely limited to coarse resolution products. In this paper we highlight the recently greatly improved availability and processing capabilities of 10-30 m resolution data and show their prospects for land area monitoring in the region using an example of a regional land cover mapping approach taking advantage of both optical and radar satellite data. The mapping example demonstrates the feasibility of automated large scale 10-30 m resolution land cover mapping in the region. The resulting finely detailed map contains 11 land cover classes revealing a great deal of contextual information through visual evaluation. The map has around 76% overall accuracy, with class wise accuracies of 59-97%. The major limitations currently relate to the incapability of separating primary forests from other tree covered areas in an automated manner, as well as to the large variety of different landscapes (e.g. home gardens and tea plantations) all classified as shrubland. Overall, we see great potential in the recently improved availability and processing capabilities of 10-30 m satellite data for land cover mapping in insular Southeast Asian conditions. However, further development is needed to overcome some remaining crucial limitations.
|Title of host publication||38th Asian Conference on Remote Sensing - Space Applications|
|Subtitle of host publication||Touching Human Lives, ACRS 2017|
|Publication status||Published - 2017|
|MoE publication type||B3 Non-refereed article in conference proceedings|