| Technology Application |
|
|
|
|
|
Remote sensing monitoring of rural residential land based on RapidEye satellite images: A case study of Taihe County, Jiangxi Province |
| GAO Mengxu1, WANG Juanle1,3, BAI Zhongqiang1,2, ZHU Junxiang1,2 |
1. State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China;
2. University of Chinese Academy of Sciences, Beijing 100049, China;
3. Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing 210023, China |
|
|
|
|
Abstract The monitoring of the spatial and temporal changes of rural residents is of great significance in serving "three rural issues", land and resources management based on rural remote sensing information. In order to monitor the residential area especially the rural area by using remote sensing technology, the authors chose Taihe County in Jiangxi Province as the study area. On the basis of the RapidEye satellite images after ortho-rectification with spatial resolution of 5 meters, the residential land classification extraction and accuracy evaluation were carried out using the maximum likelihood method. The results showed that the overall classification accuracy reached 84.33%. The producer's accuracy and user's accuracy of the residential land were 76.01% and 82.28% respectively, and the consistency reached 71.0% in comparison with the residential land data of Taihe County in the second national land survey, and the possible causes of errors were also analyzed. The research results show that the resident land monitoring of rural counties using RapidEye images of 5 meters resolution is feasible in that it can provide reference for future similar studies.
|
| Keywords
change vector analysis(CVA)
principal component analysis(PCA)
threshold determination
change detection
|
|
|
|
Issue Date: 27 November 2015
|
|
|
| [1] Liu Y S,Lu S S,Chen Y F.Spatio-temporal change of urban-rural equalized development patterns in China and its driving factors[J].Journal of Rural Studies,2013,32:320-330.[2] Tian G J,Qiao Z,Zhang Y Q.The investigation of relationship between rural settlement density,size,spatial distribution and its geophysical parameters of China using Landsat TM images[J].Ecological Modelling,2012,231:25-36.[3] Vaudour E,Carey V A,Gilliot J.Digital zoning of South African viticultural terroirs using bootstrapped decision trees on morphometric data and multitemporal SPOT images[J].Remote Sensing of Environment,2010,114(12):2940-2950.[4] Gong P,Wang J,Yu L,et al.Finer resolution observation and monitoring of global land cover:First mapping results with Landsat TM and ETM+ data[J].International Journal of Remote Sensing,2013,34(7):2607-2654.[5] 杨存建,周成虎.基于知识发现的TM图像居民地自动提取研究[J].遥感技术与应用,2001,16(1):1-6. Yang C J,Zhou C H.Extracting residential area from TM image on the basis of knowledge discovered[J].Remote Sensing Technology and Application,2001,16(1):1-6.[6] 赵萍,冯学智,林广发.SPOT卫星影像居民地信息自动提取的决策树方法研究[J].遥感学报,2003,7(4):309-315. Zhao P,Feng X Z,Lin G F.The Decision tree algorithm of automatically extracting residential information from SPOT images[J].Journal of Remote Sensing,2003,7(4):309-315.[7] Wang L,Sousa W,Gong P.Integration of object-based and pixel-based classification for mapping mangroves with IKONOS imagery[J].International Journal of Remote Sensing,2004,25(24):5655-5668.[8] Tso Brandt T,Mather P.Classification Methods for Remotely Sensed Data(2nd edition)[M].2nd ed.New York:CRC Press,20097.[9] 金飞,张占睦,芮杰.纹理主方向的遥感影像居民地提取[J].测绘科学,2010,35(4):139-141. Jin F,Zhang Z M,Rui J.Residential area extraction frorm remote sensing image based on texture principal directions[J].Science of Surveying and Mapping,2010,35(4):139-141.[10] Zhou G H,He Y H,Tang C L,et al.Dynamic mechanism and present situation of rural settlement evolution in China[J].Journal of Geographical Sciences,2013,23(3):513-524.[11] 汪权方,许纪承,陈媛媛,等.遥感影像空间分辨率对居民地信息提取的影响[J].资源科学,2012,34(1):159-165. Wang Q F,Xu J C,Chen Y Y,et al.Influence of the varied spatial resolution of remote sensing images on urban and rural residential information extraction[J].Resources Science,2012,34(1):159-165.[12] 明冬萍,王群,杨建宇.遥感影像空间尺度特性与最佳空间分辨率选择[J].遥感学报,2008,12(4):529-537. Ming D P,Wang Q,Yang J Y.Spatial scale of remote sensing image and selection of optimal spatial resolution[J].Journal of Remote Sensing,2008,12(4):529-537.[13] 刘芳,张增祥,汪潇,等.北京市农村居民点用地的遥感动态监测及驱动力分析[J].国土资源遥感,2009,21(3):88-93.doi:10.6046/gtzyyg.2009.03.18. Liu F,Zhang Z X,Wang X,et al.The dynamic monitoring of rural residential land in Beijing and driving force analysis based on multi-source remote sensing data[J].Remote Sensing for Land and Resources,2009,21(3):88-93.doi:10.6046/gtzyyg.2009.03.18.[14] 邓书斌.ENVI遥感图像处理方法[M].北京:科学出版社,2010. Deng S B.ENVI Rremote Sensing Image Process Methods[M].Beijing:Science Press,2010.[15] 徐京萍,赵建华,张丰收,等.面向对象的池塘养殖用海信息提取[J].国土资源遥感,2013,25(1):82-85.doi:10.6046/gtzyyg.2013.01.15. Xu J P,Zhaon J H,Zhang F S,et al.Object-oriented information extraction of pond aquaclulture[J].Remote Sensing for Land and Resources,2013,25(1):82-85.doi:10.6046/gtzyyg.2013.01.15.[16] 杨宝尧,杜震洪,刘仁义,等.基于第二次全国土地调查数据的土地利用现状图制图综合技术研究[J].国土资源遥感,2012,24(4):107-111.doi:10.6046/gtzyyg.2012.04.18. Yang B Y,Du Z H,Liu R Y,et al.Researches on generalization technology for land use mapping based on 2nd national land survey data[J].Remote Sensing for Land and Resources,2012,24(4):107-111.doi:10.6046/gtzyyg.2012.04.18. |
|
Viewed |
|
|
|
Full text
|
|
|
|
|
Abstract
|
|
|
|
|
Cited |
|
|
|
|
| |
Shared |
|
|
|
|
| |
Discussed |
|
|
|
|
2016,
Vol. 28
