基于遥感的荒漠化评价技术研究进展

编号 lyqk002924

中文标题 基于遥感的荒漠化评价技术研究进展

作者 吴见  彭道黎 

作者单位 北京林业大学省部共建森林培育与保护教育部重点实验室,北京 100083;北京林业大学省部共建森林培育与保护教育部重点实验室,北京 100083

期刊名称 世界林业研究 

年份 2009 

卷号 22

期号 5

栏目编号 1

栏目名称 专题论述 

中文摘要 土地荒漠化是全球性的严重环境恶化现象,准确、及时、全面地对荒漠化区域进行评价尤为重要。遥感信息以其周期性、宏观性和系统性方面的优势,在土地荒漠化评价中得到广泛应用。对荒漠化遥感评价技术做了总结归纳,主要包括经验性的目视解译、基于植被指标的荒漠化评价技术、基于多指标的综合评价技术以及以景观生态学理论为指导的评价技术。最后对目前荒漠化遥感评价技术中存在的问题及发展前景谈了一些看法。

关键词 荒漠化评价  遥感  目视解译  植被指数  景观生态学 

基金项目 “十一五”国家科技支撑计划国家重点林业工程监测技术研究(2006BAD23B05)

英文标题 Advances in Researches on Desertification Evaluation Technology Based on Remote Sensing

作者英文名 Wu Jian and Peng Daoli

单位英文名 The Key Laboratory for Silviculture and Conservation of Ministry of Education,Beijing Forestry University,Beijing 100083,China;The Key Laboratory for Silviculture and Conservation of Ministry of Education,Beijing Forestry University,Beijing 100083,China

英文摘要 Desertification is a serious phenomenon of environmental degradation on a global scale.It is very important to evaluate the situation of desertification accurately,timely and comprehensively in certain regions.Remote sensing information is widely used in the study of desertification evaluation on account of its merits in its cyclical,macro and systematic aspects.This paper has summarized the desertification evaluation technologies with remote sensing,including visual interpretation,the vegetation index-based desertification evaluation techniques,the multi-index-based comprehensive evaluation techniques and the evaluation techniques based on landscape ecology theory.Finally,the paper also has been concerned with the problems and prospects of desertification evaluation technologies with remote sensing.

英文关键词 desertification evaluation;remote sensing;visual interpretation;vegetation index;landscape ecology

起始页码 34

截止页码 39

投稿时间 2009/5/17

分类号 P941.73;TP79

参考文献 [1] 高志海,孙保平,丁国栋.荒漠化评价研究综述[J].中国沙漠,2004,24(1):17-22.
[2] 王建,李文君,宋冬梅,等.近30年来民勤土地荒漠化变化遥感分析[J].遥感学报,2004,8(3):280-288.
[3] 张玉贵,Beernaert F R,刘华.TM影像的计算机屏幕解译和荒漠化监测[J].林业科学研究,1998,11(6):599-606.
[4] 马立鹏,韩光庆,李源.TM影像在河西地区荒漠化土地调查中的应用[J].中国沙漠,1996,16(4):401-406.
[5] 李萍,徐广.石羊河流域荒漠化评价指标体系研究[J].中国水土保持,2008(2):24-27.
[6] 吴薇,王熙章,姚发芬.毛乌素沙地沙漠化的遥感监测[J].中国沙漠,1997,17(4):415-420.
[7] 石玉芳,徐东瑞.河北坝上高原风蚀沙化遥感监测及防治对策
[J] 河北师范大学学报,1996,20(4):96-101.
[8] 银山,包玉海,萨日娜.基于遥感、G IS的内蒙古沙漠和沙质荒漠化研究[J].干旱区资源与环境,2004,18(9):58-62.
[9] 王文丽,董治宝.若尔盖高原近30年沙地变化趋势分析[J].中国沙漠,2008,28(4):617-621.
[10] 封建民,王涛.遥感和G IS支持下的黄河源区土地沙漠化研究[J].水土保持通报,2008,28(2):116-120.
[11] 王树力,杨广巍,周延阳.土地荒漠化对生态系统服务价值的影响[J].中国水土保持科学,2008,6(5):50-56.
[12] 丁国栋,赵廷宁,范建友,等.荒漠化评价指标体系研究现状述评[J].北京林业大学学报,2004,26(1):92-96.
[13] 周从斌,范建容.金沙江干热河谷土地荒漠化评价的植被指标分析[J].云南地理环境研究,2002,14(1):80-84.
[14] 牛宝茹.基于遥感信息的沙漠化灾害程度定量提取研究[J].灾害学,2005,20(1):18-21.
[15] Lanfredi M,Lasaponara R,Smioniello T,et al. Multire solutions patial characterization of land degradation phenomena in southern Italy from 1985 to 1999 using NOAA-AVHRR NDV I data[J].Geophysical Research Letters,2003,30(2):1069.
[16] Masellif F,Rem bold F.Integration of LAC and GACNDVI dato miprovevegetation monitoring in sem-iarid environments[J]Int J Remote Sensing,2002,23(12):2475-2488.
[17] Ishiyama T,Naka jmla Y,Kaji wara K,et al. Extraction of vegettion cover in an arid area based on satellite data[J].Adv Spa Res,1997,19(9):1375-1378.
[18] Tanser F C,Pamler A R.The application of a remotely-sensediversity index to monitor degradation patterns in a sem-iaridheterogeneous,south African landscape[J].Journal of Arid Environments,1999,43(4):4,477-484.
[19] Kremer R G,Running S W.Community type differentiation us in NOAA/AVHRR data with in a sageb rush-steppe ecosystem[J]Remote Sensing of Environment,1993,46:311-318.
[20] 李宝林,周成虎.东北平原西部沙地沙质荒漠化的遥感监测研究[J].遥感学报,2002,6(2):117-122.
[21] 胡新博,王承军,顾祥,等.新疆荒漠、半荒漠草地的遥感应用研究[J].草食家畜,1996(3):33-37.
[22] Holm A Mc R,Crid land S W,Roderinck M L.The use of time-integrated NOAANDVI data and rain fall to assess landscapd egradation in the aridsh rub land of western Australia[J].Rmote Sensing of the Environment,2003,85:145-158.
[23] Alfredo D C,Emilio C,Camarasaw A.Satellite remote sensing analysis to monitor desertification processes in the crop-rang land boundary of Argentina[J].Journal of Arid Environment2002,52:121-133.
[24] Hansen M C,De Fries R S,Townshend J R G.Tow ard sanopertional MODIS continuous field of percent tree cover agorithmexam plesusing AVHRR and MODIS Data[J].Remote Sens in of Environment,2002,83:303-319.
[25] Smith M O,Ustin S L,Adams J B,et al. Vegetation in deserts:A regional measure of abundance frommulti spectral miages[J]R emote Sensing of Environment,1990,31:1-26.
[26] 张熙川,赵英时.应用线性光谱混合模型快速评价土地退化的方法研究[J].中国科学院研究生院学报,1999,16(2)169-176
[27] Emlore A J,Mustard J F,Manning S J,et al. Quantifying vegetation change in semi- rid environm ents:precision and accuracy ofspectral mixture analysis and the Nomralized Difference Vegetation Index[J].Remote Sensing of Environment,2000(73):87-102.
[28] 保家有,李晓松,吴波.基于沙地植被指数的荒漠化评价方法[J].东北林业大学,2008,36(1):70-72.
[29] 高尚武,王葆芳,朱灵益,等.中国沙质荒漠化土地监测评价指标体系[J].林业科学,1998,34(2):1-10.
[30] 王涛,吴薇,王熙章.沙质荒漠化的遥感监测与评估以中国北方沙质荒漠化区内的实践为例[J].第四纪研究,1998(2):108-118.
[31] 高志海,魏怀东,丁峰.TM影像V I提取植被信息技术研究[J].干旱区资源与环境,1998,12(3):98-104.
[32] 王琳,刘文灿,和海霞,等.内蒙古中部地区土地荒漠化遥感调查及环境质量评价[J].现代地质,2006,20(3):505-512.
[33] Wang Jian,Li Wen jun.Prmiary study on the multi-layer remotesen sing in form ation extraction of desertification land types by using decision tree technology[C]//International geosciense andremote sensing symposium.Institute of Electrical and Electronics Engineers Inc,2002:2513-2515.
[34] 范文义.荒漠化程度评价高光谱遥感信息模型[J].林业科学,2002,38(2):61-67.
[35] 李健英,常学礼.科尔沁沙地土地沙漠化与景观结构变化的关系分析[J].中国沙漠,2008,28(4):622-626.
[36] 丁建丽,塔西甫拉提特依拜,熊黑刚,等.塔里木盆地南缘绿洲荒漠化动态变化遥感研究[J].遥感学报,2002,6(1):2-3.
[37] 申卫博,王国栋,张社奇,等.景观生态学及熵模型在荒漠化监测与评价中的应用[J].环境科学研究,2005,18(6):106-109.
[38] 康相武,马欣,吴绍洪.基于景观格局的区域沙漠化程度评价模型构建[J].地理研究,2007,26(3):297-303.

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