Field Accuracy Validation of Land Cover Remote Sensing Mapping at the Scale of 1:250 000 in the Poyang Lake Area of China

  • 1. State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Scie nces and Natural Resources Research, CAS, Beijing 100101, China;
    2. University of Chinese Academy of Sciences, Beijing 100049, China

Received date: 2012-01-11

  Revised date: 2012-04-20

  Online published: 2012-08-22


Global and regional land cover data is the foundational base for studies on land surface processes and modeling and land cover remote sensing mapping is important information for supporting studies on global change and regional sustainable development. Mapping accuracy assessment has a great significance to both data producers and data users, and to some extent, it is incomplete for the study of remote sensing mapping of land cover without an accuracy validation. From 2007 to 2009, two land cover datasets of China at the scale of 1:250 000 in the 1980s and circa 2005 were produced jointly by eight institutes of Chinese Academy of Sciences (CAS), respectively, including Institute of Remote Sensing Applications (IRSA) and Institute of Geographic Sciences and Natural Resources Research (IGSNRR). In order to evaluate the accuracy of this remote sensing mapping of land cover in circa 2005, a field survey was carried out in the Poyang Lake area in August, 2011, and 321 sampling sites of land cover categories including fixed-points validation, GPS points and interpretation keys were collected. Considering the conspicuous impact of time factor on the accuracy validation of remote sensing mapping, this paper removes 34 samples relating to time differences, and takes advantage of the hierarchical assessment method to compare the actual categories of land cover in field and those in remote sensing mapping at 287 survey sites at two scales, i.e. level-1 and level-2 land cover category, respectively, and uses the scoring method for assessing the mapping accuracy, that is, one point is scored if land cover category is classified correctly, and zero if land cover category is classified incorrectly. The results show that: (1) The overall mapping accuracy of land cover data of China in the Poyang Lake area based on 287 sampling sites at the level-1 scale is 61.67%, of which wetland/water body, farmland and forest with 19, 124 and 20 sampling sites reaches 100%, 98.4% and 80.0%, respectively. (2) The overall mapping accuracy of land cover dataset in 2005 at the level-2 category is 44.25%, of which the accuracy of two grass and three forest and one cropland level-2 categories is 0, and the very low accuracy of dry land, urban and rural settlement is 21.1%, 29.0% and 1.7%, respectively. The dataset of land cover at the scale of 1:250 000 in 2005 reflects the status of land cover in the Poyang Lake area well. However, there are still a lot of difficulties of different land cover categories, especially for atypical and transitional categories, such as forests and grasslands, that can be distinguished accurately only through the technology of remote sensing.

Cite this article

BAI Yan, WANG Juanle*, Song Jia . Field Accuracy Validation of Land Cover Remote Sensing Mapping at the Scale of 1:250 000 in the Poyang Lake Area of China[J]. Journal of Geo-information Science, 2012 , 14(4) : 497 -506 . DOI: 10.3724/SP.J.1047.2012.00497


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