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Remote Sensing for Land & Resources    2018, Vol. 30 Issue (3) : 60-67     DOI: 10.6046/gtzyyg.2018.03.09
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A pixel transform-based land cover change detection approach: A case study of Beijing City
Bing YU1,2, Jiyan WANG1, Yong SU1, Dongsheng XIAO1, Fuzhen LIU1
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
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Abstract  

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.

Keywords GlobeLand30      land cover change      conversion of the land use types      spatial and temporal changes      driving force     
:  TP79  
Issue Date: 10 September 2018
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Bing YU
Jiyan WANG
Yong SU
Dongsheng XIAO
Fuzhen LIU
Cite this article:   
Bing YU,Jiyan WANG,Yong SU, et al. A pixel transform-based land cover change detection approach: A case study of Beijing City[J]. Remote Sensing for Land & Resources, 2018, 30(3): 60-67.
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https://www.gtzyyg.com/EN/10.6046/gtzyyg.2018.03.09     OR     https://www.gtzyyg.com/EN/Y2018/V30/I3/60
编码 地类
耕地 森林 草地 灌木丛 湿地 水体 苔原 人造覆盖 荒地 永久冰雪
原编码值 10 20 30 40 50 60 70 80 90 100
新编码值 20 21 22 23 24 25 26 27 28 29
Tab.1  Old and new value for land categories
Fig.1  Flowchart of data processing
2000年 2010年
人造覆盖 荒地 耕地 森林 草地 灌木丛 永久冰雪 苔原 水体 湿地
人造覆盖 0 128 -127 -126 -124 -120 384 -64 -96 -112
荒地 -128 0 -255 -254 -252 -248 256 -192 -224 -240
耕地 127 255 0 1 3 7 511 63 31 15
森林 126 254 -1 0 2 6 510 62 30 14
草地 124 252 -3 -2 0 4 508 60 28 12
灌木丛 120 248 -7 -6 -4 0 504 56 24 8
永久冰雪 -384 -256 -511 -510 -508 -504 0 -448 -480 -496
苔原 64 192 -63 -62 -60 -56 448 0 -32 -48
水体 96 224 -31 -30 -28 -24 480 32 0 -16
湿地 112 240 -15 -14 -12 -8 496 48 16 0
Tab.2  Unique value for cover change
Fig.2  Study area
年份 地类
人造覆盖 荒地 耕地 森林 草地 灌木丛 水体 湿地
2000年 2 696.012 0.313 9 562.246 12 177.783 2 951.141 0.439 441.130 15.264
2010年 3 800.504 0.436 9 011.259 12 502.897 2 252.095 0.408 260.542 16.192
Tab.3  Two phases land cover data of Beijing City(km2)
Fig.3  Dynamic degree of single land use of Beijing City
地类 人造覆盖 荒地 耕地 森林 草地 灌木丛 水体 湿地
人造覆盖 0.000 9 174.408 0 23.158 8 5.224 5 0.00 10.428 3 0.201 6
荒地 0.002 7 0.047 7 0.009 0 0.179 1 0.00 0.001 8 0.00
耕地 963.838 0 0.072 9 236.381 0 119.248 0 0.000 9 33.788 7 1.883 7
森林 87.159 6 0.014 4 105.224 0 517.523 0 0.204 3 4.984 2 0.109 8
草地 257.414 0 0.228 6 436.961 0 721.276 0 0.127 8 13.760 1 2.502 0
灌木丛 0.00 0.00 0.002 7 0.291 6 0.070 2 0.00 0.00
水体 11.457 9 0.034 2 85.049 1 56.625 3 82.207 8 0.00 10.867 5
湿地 0.353 7 0.00 6.468 3 1.178 1 4.200 3 0.00 2.438 1
Tab.4  Category change transition matrix of Beijing City(km2)
Fig.4  Category change of Beijing City for 10 years
Fig.5  Artificial land change map of Beijing City
年份 NP LPI PR AI
2000年 88 610 35.529 7 8 95.267 1
2010年 86 057 35.781 5 8 95.470 3
Tab.5  Landscape metrics for two phases data
Fig.6  Category change of spatial distribution during two periods
辖区 人造覆盖 荒地 耕地 森林 草地 灌木丛 水体 湿地
东城区 2.11 0.00 -98.78 9.46 0.00 0.00 -8.20 0.00
丰台区 35.79 0.00 -72.71 23.14 38.20 0.00 30.68 0.00
大兴区 84.91 0.00 -15.96 0.00 -29.77 0.00 38.30 0.00
密云区 26.46 0.00 -0.76 12.57 -16.50 0.00 -50.24 457.93
平谷区 36.29 0.00 9.43 1.21 -37.19 0.00 -15.86 0.00
延庆区 25.16 0.00 19.48 0.95 -25.14 0.00 -66.57 -33.58
怀柔区 47.07 0.00 10.85 0.06 -14.73 0.00 -22.02 0.00
房山区 33.35 0.00 -6.94 -0.26 -9.45 -38.10 8.04 0.00
昌平区 49.48 0.00 -1.96 0.95 -36.97 0.00 -17.80 138.54
朝阳区 31.35 0.00 -49.14 7 411.36 -75.20 0.00 -7.66 0.00
海淀区 19.84 0.00 -4.26 -14.08 -32.41 0.00 -3.32 0.00
石景山区 20.93 0.00 -23.06 -22.81 0.76 0.00 -18.72 0.00
西城区 0.26 0.00 -100.00 1 109.09 0.00 0.00 -10.41 0.00
通州区 76.40 0.00 -13.86 0.00 -37.08 0.00 7.97 -73.70
门头沟区 91.07 0.00 14.10 -0.76 -13.73 -5.83 -49.03 0.00
顺义区 38.89 0.00 -1.15 -1.41 -73.04 0.00 -52.82 -50.72
Tab.6  Land cover change of zone and county in Beijing City(%)
[1] 陈怀亮, 徐祥德, 刘玉洁 . 土地利用与土地覆盖变化的遥感监测及环境影响研究综述[J]. 气象科技, 2005,33(4):289-294.
doi: 10.3969/j.issn.1671-6345.2005.04.001 url: http://d.wanfangdata.com.cn/Periodical/qxkj200504001
[1] 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.
[2] 刘美玲, 齐清文, 邹秀萍 , 等. 基于RS对云南边境地区土地覆盖现状及变化研究[J]. 国土资源遥感, 2006,18(1):75-78.doi: 10.6046/gtzyyg.2006.01.17.
doi: 10.6046/gtzyyg.2006.01.17
[2] 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 url: http://europepmc.org/abstract/AGR/IND20393849
[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 url: http://www.tandfonline.com/doi/abs/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 url: http://linkinghub.elsevier.com/retrieve/pii/S0272771407000029
[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 url: http://linkinghub.elsevier.com/retrieve/pii/S0034425708000643
[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 url: http://linkinghub.elsevier.com/retrieve/pii/S0034425709000340
[9] 杜培军, 柳思聪, 郑辉 . 基于支持向量机的矿区土地覆盖变化检测[J]. 中国矿业大学学报, 2012,41(2):262-267.
[9] 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.
[10] 王丽云, 李艳, 汪禹芹 . 基于对象变化矢量分析的土地利用变化检测方法研究[J]. 地球信息科学学报, 2014,16(2):307-313.
doi: 10.3724/SP.J.1047.2014.00307
[10] 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.
[11] 王琰 . 基于像斑统计分析的高分辨率遥感影像土地利用/覆盖变化检测方法研究[D]. 武汉:武汉大学, 2012.
[11] 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.
[12] 宋翔, 颜长珍 . 基于知识库的像斑光谱向量相似度土地覆盖变化检测方法[J]. 生态学报, 2014,34(24):7175-7180.
doi: 10.5846/stxb201310132458
[12] 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 url: http://www.tandfonline.com/doi/abs/10.1080/01431160600784275
[14] 李静, 吴连喜, 周珏 . 遥感变化检测技术发展综述[J]. 水利科技与经济, 2007,13(3):153-155.
[14] 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.
[15] 张学, 童小华, 刘妙龙 . 一种扩展的土地覆盖转换像元变化检测方法[J]. 同济大学学报(自然科学版), 2009,37(5):685-689.
doi: 10.1042/BSR20080061 url: http://d.wanfangdata.com.cn/Periodical/tjdxxb200905023
[15] 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.
[16] 唐朴谦, 杨建宇, 张超 , 等. 基于像素比值的面向对象分类后遥感变化检测方法[J].遥感信息, 2010(1):69-72.
doi: 10.3969/j.issn.1000-3177.2010.01.014 url: http://d.wanfangdata.com.cn/Periodical/ygxx201001014
[16] 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 url: http://linkinghub.elsevier.com/retrieve/pii/S2351989415300184
[18] 王秀兰, 包玉海 . 土地利用动态变化研究方法探讨[J]. 地理科学进展, 1999,18(1):81-87.
doi: 10.3969/j.issn.1007-6301.1999.01.012 url: http://d.wanfangdata.com.cn/Periodical/dlkxjz199901012
[18] Wang X L, Bao Y H . Study on the methods of land use dynamic change research[J]. Progress in Geography, 1999,18(1):81-87.
[19] 刘灿然, 陈灵芝 . 北京地区植被景观中斑块大小的分布特征[J]. 植物学报, 1999,41(2):199-205.
[19] Liu C R, Chen L Z . Distribution characteristics of patch size in the vegetation landscape in Beijing[J]. Acta Botanica Sinica, 1999,41(2):199-205.
[20] 曾春阳, 曾广宇, 程丽华 , 等. 林地变化及景观斑块特征的演变[J]. 中南林业科技大学学报, 2012,32(8):33-36,41.
[20] 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 url: http://linkinghub.elsevier.com/retrieve/pii/S0169204606000715
[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 url: http://europepmc.org/abstract/med/25341776
[23] 陈军, 陈晋, 廖安平 , 等. 全球30 m地表覆盖遥感制图的总体技术[J]. 测绘学报, 2014,43(6):551-557.
doi: 10.13485/jc.nki1.1-20892.0140.089 url: http://d.wanfangdata.com.cn/Periodical/chxb201406001
[23] 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.
[24] 顾朝林 . 北京土地利用/覆盖变化机制研究[J]. 自然资源学报, 1999,14(4):307-312.
doi: 10.11849/zrzyxb.1999.04.003
[24] Gu C L . Study on phenomena and mechanism of land use/cover change in Beijing[J]. Journal of Natural Resources, 1999,14(4):307-312.
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