1. School of Civil Engineering and Architecture, Southwest Petroleum University, Chengdu 610500, China 2. The Key Laboratory for Digital Land and Resources of Jiangxi Province, East China University of Technology, Nanchang 330013, China
Pixel overlay and comparative methods have been widely used to detect land use/ cover change. In view of such a situation, the authors propose a pixel transform-based change detection method for land cover data in this study. This method is an extended method of pixel overlay analysis, and it supports change detection of diverse land cover types synchronously for different time phases. According to the re-definition of the type code and through map overlay analysis and zone statistical analysis for different phases of land cover maps, the authors quantified every cover changes and displayed the changes spatial distribution. Taking two phases data of Beijing in 2000 and 2010 as a study case, the authors applied this detection method for different categories of land cover with different ranges. The results show more accuracy land cover classes change, and the practicability and applicability of the extended change detection method are accordingly verified.
于冰, 王继燕, 苏勇, 肖东升, 刘福臻. 基于像元转换的土地覆盖变化监测方法——以北京市区县为例[J]. 国土资源遥感, 2018, 30(3): 60-67.
Bing YU, Jiyan WANG, Yong SU, Dongsheng XIAO, Fuzhen LIU. A pixel transform-based land cover change detection approach: A case study of Beijing City. Remote Sensing for Land & Resources, 2018, 30(3): 60-67.
Chen H L, Xu X D, Liu Y J . Review of researches on remote sensing monitoring and impact on environment of land use/cover change[J]. Meteorological Science and Technology, 2005,33(4):289-294.
Liu M L, Qi Q W, Zou X P , et al. Spatial-temporal changes of the land use/cover in border areas of Yunnan Province[J]. Remote Sensing for Land and Resources, 2006,18(1):75-78.doi: 10.6046/gtzyyg.2006.01.17.
[3]
Harris P M, Ventura S J . The integration of geographic data with remotely sensed imagery to improve classification in an urban area[J]. Photogrammetric Engineering and Remote Sensing, 1995,61(8):993-998.
[4]
Green K, Kempka D, Lackey L . Using remote sensing to detect and monitor land-cover and land-use change[J]. Photogrammetric Engineering and Remote Sensing, 1994,60(3):331-337.
doi: 10.1002/ima.1850050109
[5]
Coppin P, Jonckheere I, Nackaerts K , et al. Digital change detection methods in ecosystem monitoring:A review[J]. International Journal of Remote Sensing, 2004,25(9):1565-1596.
doi: 10.1080/0143116031000101675
[6]
Giri C, Pengra B, Zhu Z L , et al. Monitoring mangrove forest dynamics of the Sundarbans in Bangladesh and India using multi-temporal satellite data from 1973 to 2000[J]. Estuarine,Coastal and Shelf Science, 2007,73(1/2):91-100.
doi: 10.1016/j.ecss.2006.12.019
[7]
Masek J G, Huang C Q, Wolfe R , et al. North American forest disturbance mapped from a decadal Landsat record[J]. Remote Sensing of Environment, 2008,112(6):2914-2926.
doi: 10.1016/j.rse.2008.02.010
[8]
Xian G, Homer C, Fry J . Updating the 2001 national land cover database land cover classification to 2006 by using Landsat imagery change detection methods[J]. Remote Sensing of Environment, 2009,113(6):1133-1147.
doi: 10.1016/j.rse.2009.02.004
Du P J, Liu S C, Zheng H . Land cover change detection over mining areas based on support vector machine[J]. Journal of China University of Mining and Technology, 2012,41(2):262-267.
Wang L Y, Li Y, Wang Y Q . Research on land use change detection based on an object-oriented change vector analysis method[J]. Journal of Geo-information Science, 2014,16(2):307-313.
Wang Y . The Research of Land Use/Cover Change Detection Using High Resolution Remote Sensing Images Based on Image Segments Statistical Analysis[D]. Wuhan:Wuhan University, 2012.
Song X, Yan C Z . Land cover change detection using segment similarity of spectrum vector based on knowledge base[J]. Acta Ecologica Sinica, 2014,34(24):7175-7180.
[13]
El-Gamily H I . Utilization of multi-dates LANDSAT_TM data to detect and quantify the environmental damages in the southeastern region of Kuwait from 1990 to 1991[J]. International Journal of Remote Sensing, 2007,28(8):1773-1788.
doi: 10.1080/01431160600784275
Li J, Wu L X, Zhou Y . Review of the development of remote sensing change detection technology[J]. Water Conservancy Science and Technology and Economy, 2007,13(3):153-155.
Zhang X, Tong X H, Liu M L . An extended dectection method for land cover transformation[J]. Journal of Tongji University(Natural Science), 2009,37(5):685-689.
Tang P Q, Yang J Y, Zhang C , et al. An object-oriented post-classification remote sensing change detection after the pixel ratio[J].Remote Sensing Information, 2010(1):69-72.
[17]
Ridding L E, Redhead J W, Pywell R F . Fate of semi-natural grassland in England between 1960 and 2013:A test of national conservation policy[J]. Global Ecology and Conservation, 2015,4:516-525.
doi: 10.1016/j.gecco.2015.10.004
Zeng C Y, Zeng G Y, Cheng L H , et al. Analysis of change and patch landscape characteristics of forestland[J]. Journal of Central South University of Forestry and Technology, 2012,32(8):33-36,41.
[21]
Yu X J, Ng C N . Spatial and temporal dynamics of urban sprawl along two urban-rural transects:A case study of Guangzhou,China[J]. Landscape and Urban Planning, 2007,79(1):96-109.
doi: 10.1016/j.landurbplan.2006.03.008
[22]
Jun C, Ban Y F, Li S N . China:Open access to Earth land-cover map[J]. Nature, 2014,514(7523):434.
doi: 10.1038/514434c
pmid: 25341776
Chen J, Chen J, Liao A P , et al. Concepts and key techniques for 30 m global land cover mapping[J]. Acta Geodaetica et Cartographica Sinica, 2014,43(6):551-557.
2018, Vol. 30 
