利用遥感数据,综合最大似然法监督分类、多尺度空间分层聚类的部分监督分类方法和主成分方法,分析黄河上游龙羊峡水库库区1987~1999年间土地利用土地覆盖变化。提取专题信息,不同要素采用不同方法;具体分类中,土地利用类型的一级类型耕地、水体及未利用土地类型采用主成分分析和最大似然法监督分类方法;对一级类型草地采用多尺度分层聚类算法的部分监督分类方法。结果表明,草地信息利用SSHC方法提取结果较好,与Bayes分类方法相比,精度提高4.2%,SSHC所获结果数据Kappa系数为0.84,Bayes所获结果数据Kappa系数为0.78。对某专题要素分类,此方法结果较优。
The Longyangxia Reservoir is the largest hydraulic power and water conservancy project in the up stream of the Yellow River, with integrated functions of generating electricity, irrigating farmland and controling flood. People pay great attention to the land use/land cover(LUCC) of region around the reservoir, the sand quantity entering the reservoir, land desertification, grass land degradation and so on. The multi-temporal and multi-spectral remote sensed data were used in this study. According to the eco-environment characteristics of the study area as well as finished study work, integrated with SSHC, MLS and PCA, the land-use and land-cover change of Longyangxia Reservoir area was analyzed from 1987 to 1999. The different methods were adopted to extract different thematic information of environmental factors. The MLS and PCA methods were applied in obtaining information of cropland, water area and other non-use lands. The supervise classification based on SSHC was used to gain grassland information. The result showed that the effect for extracting grassland information using SSHC is well, the accuracy of classification may increase 4.2% compared with Bayes' classification, the Kappa coefficient of SSHC is 0.84, while the Kappa coefficient of Bayes is 0.78. Thus it can be seen that SSHC is well than other methods in some aspects in imagery classification.
[1] IGBP/HDP. Land use and Land cover change science/Research Plan. IGBP Rep.1995(35) and HDP Rep. 1995(7).
[2] Morre B, Braswell H. The lifetime of excess atmospheric carbon dioxide[J]. Global Biogeochemistry Cycles, 1995,(1):23-28.
[3] Bonan G B. Land-atmosphere interaction for climate system models:couping biophysical, biogeochemical, and ecosystem dynamic process[J]. Remote Sensing of Environment, 1995,51:57-73.
[4] Liu jiyuan,Liu mingliang, Deng xiangzheng,et al. The land use and land cover change database and its relative studies in China[J]. Journal of Geographical Science,2002,12(2):275-282.
[5] Dale V H. The relationship between land-use change and climate change[J]. Ecological Application,1997,7(3):753-769.
[6] O jima D S K A Galvin, B L Turner. The global impact of land-use change[J]. BioScience, 1994, 44(5):300-304.
[7] Verbrge H P, Veldkamp A, Fresco L O. Simulation of changes in the spatial pattern of land use in China[J]. Applied Geography, 1999, 19(3):211-233.
[8] 刘纪远,中国国家资源环境遥感调查与动态研究[M]. 北京:中国科学技术出版社,1996. 90~146.
[9] 罗格平,周成虎,陈 曦.干旱区绿洲土地利用与土地覆盖变化过程[J]. 地理学报,2003, 58 (1): 64~72.
[10] 沙占江,曾永年.马海州,等.遥感和GIS支持下的龙羊峡库区土地沙漠化动态研究[J]. 中国沙漠,2000,20(1):36~42.
[11] 董光荣,高尚玉,金 炯,等. 青海共和盆地土地沙漠化与防治途径[M]. 北京:科学出版社, 1993.40~58.
[12] 刘兴土, 马学慧.三江平原大面积开荒对自然环境影响及区域生态环境保护[J].地理科学,2000, 20(1): 14~19.
[13] 康慕谊,江 源,石瑞香. NECT样带1984~1996土地利用变化分析[J].地理科学,2000,20(2): 115~120.
[14] 陈佑启,Peter H Verburg.中国土地利用/土地覆盖的多尺度空间分布特征分析[J].地理科学,2000,20(3): 197~202.
[15] 张永涛,申元村.柴达木盆地绿洲区划及农业利用评价[J].地理科学,2000,20(4): 314~319.
[16] 周游游.农业活动与岩溶山区土地利用的可持续性探讨[J].地理科学,2000,20(5): 431~436.
[17] 苏维词.贵阳城市土地利用变化及其环境效应[J].地理科学,2000,20(5): 462~467.
[18] 黄春长.渭河流域3 100年前资源退化与人地关系演变[J].地理科学,2000,20(6): 30~35.
[19] 陈利顶,傅伯杰,王 军.黄土丘陵区典型小流域土地利用变化研究——以陕西延安地区大南沟流域为例[J].地理科学,2000,20(6):46~51.
[20] 张建平.西南地区山地不同土地退化类型特征及调控途径[J].地理科学,2001,21(3):236~241.
[21] 李小建,刘钢军,钱乐祥,等.中尺度流域土地利用/土地覆盖变化评估——以伊洛河中部地区为例[J].地理科学,2001,21(4):289~296.
[22] 刘志明,晏 明, 王贵卿,等.基于卫星遥感信息的吉林省西部草地退化分析[J].地理科学,2001,21(5):452~456.
[23] 李天宏,韩 鹏.厦门市土地利用/覆盖动态变化的遥感检测与分析[J].地理科学,2001,21(6):537~543.
[24] 刘湘南,许红梅, 黄 方.土地利用空间格局及其变化的图形信息特征分析[J].地理科学,2002,22(1):79~84.
[25] 秦丽杰, 张 郁,许红梅,等.土地利用变化的生态环境效应研究——以前郭县为例[J].地理科学,2002,22(4):508~512.
[26] 朱凤武, 彭补拙.我国县域土地利用总体规划的模式研究[J].地理科学,2003,23(3): 282~286.
[27] 史纪安,陈利顶,史俊通,等.榆林地区土地利用/覆被变化区域特征及其驱动机制分析[J].地理科学,2003,23(4): 494~499.
[28] 钱乐祥,丁圣彦,许叔明.伊洛河流域不同地貌类型区的景观空间结构对比分析——以洛宁县为例[J].地理科学,2003,23(5):604~611.
