000032141 001__ 32141
000032141 041__ $$aEnglish
000032141 100__ $$aLei, G.
000032141 245__ $$aLand Cover Mapping in Southwestern China Using the Hc-Mmk Approach
000032141 260__ $$c2016
000032141 300__ $$a305
000032141 520__ $$aLand cover mapping in mountainous areas is a notoriously challenging task due to the rugged terrain and high spatial heterogeneity of land surfaces as well as the frequent cloud contamination of satellite imagery. Taking Southwestern China (a typical mountainous region) as an example, this paper established a new HC-MMK approach (Hierarchical Classification based on Multi-source and Multi-temporal data and geo-Knowledge), which was especially designed for land cover mapping in mountainous areas. This approach was taken in order to generate a 30 m-resolution land cover product in Southwestern China in 2010 (hereinafter referred to as CLC-SW2010). The multi-temporal native HJ (HuanJing, small satellite constellation for disaster and environmental monitoring) CCD (Charge-Coupled Device) images, Landsat TM (Thematic Mapper) images and topographical data (including elevation, aspect, slope, etc.) were taken as the main input data sources. Hierarchical classification tree construction and a five-step knowledge-based interactive quality control were the major components of this proposed approach. The CLC-SW2010 product contained six primary categories and 38 secondary categories, which covered about 2.33 million km2 (accounting for about a quarter of the land area of China). The accuracies of primary and secondary categories for CLC-SW2010 reached 95.09% and 87.14%, respectively, which were assessed independently by a third-party group. This product has so far been used to estimate the terrestrial carbon stocks and assess the quality of the ecological environments. The proposed HC-MMK approach could be used not only in mountainous areas, but also for plains, hills and other regions. Meanwhile, this study could also be used as a reference for other land cover mapping projects over large areas or even the entire globe.
000032141 700__ $$aLi, A.
000032141 700__ $$aBian, J.
000032141 700__ $$aZhang, Z.
000032141 700__ $$aJin, H.
000032141 700__ $$aNan, X.
000032141 700__ $$aZhao, W.
000032141 700__ $$aWang, J.
000032141 700__ $$aCao, X.
000032141 700__ $$aTan, J.
000032141 700__ $$aLiu, Q.
000032141 700__ $$aYu, H.
000032141 700__ $$aYang, G.
000032141 700__ $$aFeng, W.
000032141 773__ $$pRemote Sensing
000032141 773__ $$v8 (4)
000032141 8564_ $$uhttp://www.mdpi.com/2072-4292/8/4/305$$yExternal link (open access)
000032141 980__ $$aARTICLE