| Technology Application |
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Ecological changes assessment based on remote sensing indices： A case study of Changning City |
| LUO Chun1, LIU Hui1,2, QI Luyue3 |
1. College of Environment and Resources, Fuzhou University, Fuzhou 350108, China;
2. Institute of Remote Sensing and Information Engineering, Fuzhou University, Fuzhou 350108, China;
3. Spatial Information Research Center of Fujian Province, Fuzhou University, Fuzhou 350108, China |
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Abstract Using remote sensing methods to assess regional ecological change can achieve a long cycle and immediate results. The authors employed remote sensing eco index (RSEI) method to monitor the erosion of the ecological changes, with Changning City as the study area. 1990, 2002 and 2009 Landsat TM remote sensing images were chosen as data sources, from which 4 ecological factors were extracted, i.e., green degree, humidity degree, heat degree and dry degree, as indicators of evaluation model. Combined with principal component analysis, the authors quantitatively and objectively assessed regional ecological changes in the past 20 years. The results show that remote sensing Eco Index (RSEI) method seems to be a good method for evaluating the effect of ecological restoration in soil erosion area. It is proved that RSEI eco-index value increased by 22.39%; nevertheless, excellent level of eco-area ratio decreased from 13.086% in 1990 to 4.006% in 2002 and then rose to 16.699% in 2009, which indicates that the ecological quality of this region has been greatly improved after 20 years' soil erosion control. Through the investigation and analysis of Changning City, the authors have found that main prevention measures, such as afforestation and construction, have exerted greater effects on the improvement of the ecological quality.
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| Keywords
EMD
fractal
remote sensing
spectral characteristics
texture characteristics
water information extraction
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Issue Date: 17 September 2014
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[1] 吴炳方,卢善龙.流域遥感方法与实践[J].遥感学报,2011,15(2):201-223. Wu B F,Lu S L.Watershed remote sensing:Methodology and a paradigm in Hai Basin[J].Journal of Remote Sensing,2011,15(2):201-223.
[2] 潘卫华,徐涵秋.泉州市城市扩展的遥感监测及其城市化核分析[J].国土资源遥感,2004,16(4):36-40. Pan W H,Xu H Q.A study of urban spatial expansion of Quanzhou City on the basis of remote sensing technology and urbanization core analysis[J].Remote Sensing for Land and Resources,2004,16(4):36-40.
[3] 杨存建,欧晓昆,党承林,等.森林植被动态变化信息的遥感检测[J].地球信息科学,2000(4):71-75. Yang C J,Ou X K,Dang C L,et al.Detecting the change information of forest vegetation dynamics for remote sensing[J].Geo-Information Science,2000(4):71-75.
[4] 王海波,马明国.基于遥感的湖泊水域动态变化监测研究进展[J].遥感技术与应用,2009,24(5):674-684. Wang H B,Ma M G.A review of monitoring change in lake water areas based on remote sensing[J].Remote Sensing Technology and Application,2009,24(5):674-684.
[5] 汤世华,樊风雷,王云鹏,等.土地利用变化的遥感监测及其与经济发展关系的研究——以增城市1998—2003土地利用为例[J].农业现代化研究,2005,26(5):378-381. Tang S H,Fan F L,Wang Y P,et al.Change of land-use remote sensing monitoring and relationship of economic development:Taking land-use of Zengcheng from 1998 to 2003 as an example[J].Research of Agricultural Modernization,2005,26(5):378-381.
[6] 范建忠,李登科,董金芳.陕西省重点生态建设工程区植被恢复状况遥感监测[J].农业工程学报,2012,28(7):228-234. Fan J Z,Li D K,Dong J F.Remote Sensing analysis of vegetation restoration in key ecological construction areas of Shaanxi Province[J].Transactions of the Chinese Society of Agricultural Engineering,2012,28(7):228-234.
[7] 徐涵秋.城市不透水面与相关城市生态要素关系的定量分析[J].生态学报,2009,29(5):2456-2462. Xu H Q.Quantitative analysis on the relationship of urban impervious surface with other components of the urban ecosystem[J].Acta Ecologica Sinica,2009,29(5):2456-2462.
[8] 周榕,徐涵秋,林云彬.城市建成区地表热通量的遥感研究——以泉州市区为例[J].遥感信息,2006(6):50-54. Zhou R,Xu H Q,Lin Y B.Remote sensing study on the surface heat flux and its relationship with the urban heat island:Taking Quanzhou City as an example[J].Remote Sensing Information,2006(6):50-54.
[9] Chander G,Markham B L,Helder D L.Summary of current radiometric calibration coefficients for Landsat MSS,TM,ETM+ and EO-1 ALI sensors[J].Remote Sensing of Environment,2009,113:893-903.
[10] Chavez P S Jr.Image-based atmospheric corrections:Revisited and revised[J].Photogrammetric Engineering and Remote Sensing,1996,62(9):1025-1036.
[11] 徐涵秋.水土流失区生态变化的遥感评估[J].农业工程学报,2013,29(7):91-98. Xu H Q.Assessment of ecological change in soil loss area using remote sensing technology[J].Transactions of the Chinese Society of Agricultural Engineering,2013,29(7):91-98.
[12] Nichol J.Remote sensing of urban heat islands by day and night[J].Photogrammetric Engineering and Remote Sensing,2005,71(5):613-621.
[13] 赵跃龙,张玲娟.脆弱生态环境定量评价方法的研究[J].地理科学进展,1998,17(1):67-72. Zhao Y L,Zhang L J.A study on index and method of quantitative assessment of fragile environment[J].Progress in Geography,1998,17(1):67-72.
[14] Crist E P.A TM tasseled cap equivalent transformation for reflectance factor data[J].Remote Sensing of Environment,1985,17(3):301-306.
[15] Goward S N,Xue Y K,Czajkowski K P.Evaluating land surface moisture conditions from the remotely sensed temperature/vegetation index measurements:An exploration with the simplified simple biosphere model[J].Remote Sensing of Environment,2002,79(2/3):225-242.
[16] NASA.Landsat7 science data user's handbook[EB/OL].http://landsathandbook.gsfc.nasa.gov,2012-09-05.
[17] Janet N.Remote sensing of urban heat islands by day and night[J].Photogrammetric Engineering and Remote Sensing,2005(5):613-621.
[18] Rikimaru A,Roy P S,Miyatake S.Tropical forest cover density mapping[J].Tropical Ecology,2002,43(1):39-47.
[19] 徐涵秋,杜丽萍.遥感建筑用地信息的快速提取[J].地理信息科学学报,2010,12(4):574-579. Xu H Q,Du L P.Fast extraction of build-up land information from remote sensing imagery[J].Journal of Geo-Information Science,2010,12(4):574-579.
[20] 徐涵秋.基于压缩数据维的城市建筑用地遥感信息提取[J].中国图象图形学报,2005,10(2):223-229. Xu H Q.Remote sensing information extraction of urban built up land based on a data dimension compression technique[J].Journal of Image and Graphics,2005,10(2):223-229. |
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2014,
Vol. 26
