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Letter

Mapping Fragmented Impervious Surface Areas Overlooked by Global Land-Cover Products in the Liping County, Guizhou Province, China

Graduate School of Global Environmental Studies, Kyoto University, Kyoto 606-8501, Japan
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Remote Sens. 2020, 12(9), 1527; https://doi.org/10.3390/rs12091527
Received: 11 April 2020 / Revised: 7 May 2020 / Accepted: 8 May 2020 / Published: 11 May 2020
(This article belongs to the Special Issue Recent Advances in Satellite Derived Global Land Product Validation)
Imperviousness is an important indicator for monitoring urbanization and environmental changes, and is evaluated widely in urban areas, but not in rural areas. An accurate impervious surface area (ISA) map in rural areas is essential to achieve environmental conservation and sustainable rural development. Global land-cover products such as MODIS MCD12Q1, ESA CCI-LC, and Global Urban Land are common resources for environmental practitioners to collect land-cover information including ISAs. However, global products tend to focus on large ISA agglomerations and may not identify fragmented ISA extents in less populated regions. Land-use planners and practitioners have to map ISAs if it is difficult to obtain such spatially explicit information from local governments. A common and consistent approach for rural ISA mapping is yet to be established. A case study of the Liping County, a typical rural region in southwest China, was undertaken with the objectives of assessing the global land-cover products in the context of rural ISA mapping and proposing a simple and feasible approach for the mapping. This approach was developed using Landsat 8 imagery and by applying a random forests classifier. An appropriate number of training samples were distributed to towns or villages across all townships in the study area for classification. The results demonstrate that the global land-cover products identified major ISA agglomerations, specifically at the county seat; however, other fragmented ISAs over the study area were overlooked. In contrast, the map created using the developed approach inferred ISAs across all townships with an overall accuracy of 91%. A large amount of training samples together with geographic information of towns or villages is the key suggestion to identify and map ISAs in rural areas. View Full-Text
Keywords: impervious surface area mapping; global land products; rural areas; Landsat; random forests classifier; Liping County; southwest China impervious surface area mapping; global land products; rural areas; Landsat; random forests classifier; Liping County; southwest China
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MDPI and ACS Style

Zhao, J.; Tsutsumida, N. Mapping Fragmented Impervious Surface Areas Overlooked by Global Land-Cover Products in the Liping County, Guizhou Province, China. Remote Sens. 2020, 12, 1527. https://doi.org/10.3390/rs12091527

AMA Style

Zhao J, Tsutsumida N. Mapping Fragmented Impervious Surface Areas Overlooked by Global Land-Cover Products in the Liping County, Guizhou Province, China. Remote Sensing. 2020; 12(9):1527. https://doi.org/10.3390/rs12091527

Chicago/Turabian Style

Zhao, Jing, and Narumasa Tsutsumida. 2020. "Mapping Fragmented Impervious Surface Areas Overlooked by Global Land-Cover Products in the Liping County, Guizhou Province, China" Remote Sensing 12, no. 9: 1527. https://doi.org/10.3390/rs12091527

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