| 黑河中游绿洲化荒漠化的时空变化遥感分析 |
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| 引用本文： | 田静,苏红波,陈少辉,于静洁.黑河中游绿洲化荒漠化的时空变化遥感分析[J].资源科学,2011,33(2):347-355. |
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| 作者姓名： | 田静 苏红波 陈少辉 于静洁 |
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| 作者单位： | 中国科学院地理科学与资源研究所陆地水循环及地表过程重点实验室,北京,100101 |
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| 基金项目： | 国家重点基础研究发展计划项目：“流域水文过程与绿洲化、荒漠化的相互作用及综合模拟”(编号：2009CB421305)；国家自然科学基金项目：“土壤水汽阻力、植被冠层阻力的遥感反演方法研究”( 编号:40801141); “地表蒸散的遥感定量反演及其时域尺度扩展研究”( 编号:40871170)；中科院百人计划支持项目。 |
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| 摘 要： | 本文从地表植被时空变化和土壤水分时空变化两个不同的方向入手,分析了黑河中游8个完整区县2000年-2009年的绿洲化和荒漠化过程。研究表明,2000年-2009年间,山丹、民乐、酒泉肃州区中部、肃南的东部及甘州-临泽绿洲区一直是黑河中游植被分布的重点区域;从植被角度分析,虽然黑河中游各区县均有零散分布的植被退化区,但总体而言植被状况在逐渐变好,其中民乐县和山丹县的植被状况最好,变化最明显;从土壤水分状况分析,肃南、山丹和民乐3个地区的土壤水分状况要好于其它地区,这与它们所处的地理位置、降雨量和土地利用状况有关。
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| 关 键 词： | 黑河中游 绿洲化 荒漠化 时空特征 遥感 |
| 收稿时间： | 6/1/2010 12:00:00 AM |
Spatial-Temporal Processes of Desertification and Oasification in the Middle Reaches of the Heihe River Based on Remote Sensing |
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| TIAN Jing,SU Hongbo,CHEN Shaohui and YU Jingjie.Spatial-Temporal Processes of Desertification and Oasification in the Middle Reaches of the Heihe River Based on Remote Sensing[J].Resources Science,2011,33(2):347-355. |
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| Authors: | TIAN Jing SU Hongbo CHEN Shaohui and YU Jingjie |
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| Institution: | Key Laboratory of Water Cycle and Related Land Surface Processes, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China;Key Laboratory of Water Cycle and Related Land Surface Processes, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China;Key Laboratory of Water Cycle and Related Land Surface Processes, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China;Key Laboratory of Water Cycle and Related Land Surface Processes, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China |
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| Abstract: | The Heihe River basin is the second largest inland river basin in the arid region of northwestern China, showing a typically fragile ecology and the environment. Under the combined effect of the water resource distribution and human activities, great changes in land use and surface characteristics across the region have occurred. Desertification and oasification are two major opposite trends in land use. In general, vegetation and soil moisture can be taken as indicators of desertification and oasification. In this paper, processes of desertification and oasification in the middle reaches of the Heihe River were analyzed on the basis of spatial-temporal information regarding vegetation and soil moisture derived from satellite imageries, with the objective to examine where and what the degree of land use change occurred, which would be helpful for gaining an improved understanding of the ecology and the hydrologic cycle in ecologically fragile areas. Normalized Difference Vegetation Index (NDVI) time series of 16-day composite MOD13A2 data products and Temperature-Vegetation Dryness Index (TVDI) values calculated by daily MYD11A1 data products were used to explore overall changes in vegetation and soil moisture conditions during the last decade, respectively. Mean values and slope of ordinary least squares (OLS) regression line and covariance of NDVI and TVDI were computed to assess the processes of desertification and oassification. Results showed that since 2000, Shandan and Minle characterized by crop and woodland, the middle of Suzhou by crop, the east of Sunan by grass, and Ganzhou-Linze oasis by crop were found to be densely vegetated. Although there was some degraded land, the vegetation cover generally increased as a whole. The best vegetated areas were distributed primarily in Shandan and Minle where marked variations in vegetation exhibited during the recent 10 years. As for the conditions of soil moisture, Sunan, Shandan, and Minle appeared to be better than other counties. The soil moisture condition was primarily determined by climate, precipitation, as well as land use. Annul precipitation data at 9 meteorological stations within the Middle Heihe River basin suggest that Minle, Sunan and Shandan with the highest elevations have the largest amount of precipitation. Data of land use/cover change and AMSR-E L3 soil moisture products were jointly used to validate the results and good agreement between them was shown. Finer-resolution satellite images, e.g., Landsat TM, will be used to further explore variations in vegetation and soil moisture conditions across sensitive regions of desertification and oasification. |
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| Keywords: | Middle reaches of the Heihe River Oasisication Desertification Spatial-temporal variation Remote sensing |
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