| 基于Albedo-NDVI特征空间的玛曲县荒漠化时空动态监测 |
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| 引用本文： | 邹明亮,韩雅敏,曾建军,杨超,徐晓锋,郭建军,岳东霞.基于Albedo-NDVI特征空间的玛曲县荒漠化时空动态监测[J].冰川冻土,2019,41(1):45-53. |
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| 作者姓名： | 邹明亮 韩雅敏 曾建军 杨超 徐晓锋 郭建军 岳东霞 |
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| 作者单位： | 兰州大学资源环境学院,甘肃兰州,730000;兰州大学管理学院,甘肃兰州,730000;中国科学院西北生态环境资源研究院沙漠与沙漠化重点实验室,甘肃兰州,730000;兰州大学资源环境学院,甘肃兰州730000;中国科学院西北生态环境资源研究院冻土工程国家重点实验室,甘肃兰州730000 |
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| 基金项目： | 国家自然科学基金项目（41671516）；甘肃省民生科技计划项目（1503FCME006）；甘肃省软科学专项（1504ZKCA090-1）；中央高校基本科研业务费专项资金资助项目（LZUJBKY-2015-K10；LZUJBKY-2017-IT90）资助 |
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| 摘 要： | 开展荒漠化时空动态监测是荒漠化防治的一项重要基础工作。以地处青藏高原东北缘的甘肃省玛曲县为例，以该县2001年、2005年、2010年的TM影像和2015年的HJ-1影像为数据来源，利用Albedo-NDVI特征空间法，从整体到局部，分别对该县全区域及其黄河沿岸地区不同尺度区域近15年的土地荒漠化进行了监测和时空动态分析。研究结果表明：Albedo-NDVI特征空间法能便捷、有效、精确地对荒漠化信息进行提取和分级，有利于荒漠化的定量分析与监测；玛曲县近15年来实施的生态恢复工程效果显著，该县荒漠化状况有所改善，荒漠化土地的面积持续减小，程度不断降低，主要发生“轻度荒漠化土地向非荒漠化土地”的转移；但是由于沙源丰富、人口密集以及过度放牧等原因，玛曲县黄河沿岸5 km带状区域荒漠化以“非荒漠化土地向轻度荒漠化土地”转移为主，荒漠化状况较全县整体水平严重，并且仍有不断恶化的趋势。
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| 关 键 词： | 荒漠化 玛曲县 Albedo-NDVI特征空间 时空动态监测 |
| 收稿时间： | 2018-06-20 |
| 修稿时间： | 2019-01-11 |
Temporal and spatial dynamic mornitoring of desertification in Maqu County based on Albedo-NDVI features space |
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| ZOU Mingliang,HAN Yamin,ZENG Jianjun,YANG Chao,XU Xiaofeng,GUO Jianjun,YUE Dongxia.Temporal and spatial dynamic mornitoring of desertification in Maqu County based on Albedo-NDVI features space[J].Journal of Glaciology and Geocryology,2019,41(1):45-53. |
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| Authors: | ZOU Mingliang HAN Yamin ZENG Jianjun YANG Chao XU Xiaofeng GUO Jianjun YUE Dongxia |
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| Institution: | 1. College of Earth and Environmental Sciences, Lanzhou University, Lanzhou 730000, China;2. School of management, Lanzhou Umiversity, Lanzhou 730000, China;3. Key Laboratory of Desert and Desertification, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China;4. State Key Laboratory of Frozen Soil Engineering, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China |
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| Abstract: | The dynamic monitoring of desertification is an important basic work of desertification control. The Landsat TM images of 2001, 2005, 2010 and the HJ-1 image of 2015 in Maqu County is taken as the data sources. Using the Albedo-NDVI feature space method, the space-time succession of desertification in Maqu County in the nearly 15 years are analyzed overall and locally. The results showed that: (1) Albedo-NDVI feature space can be used to extract and classify the desertification information conveniently, effectively and accurately; (2) overall, the area of deserted land was consistently decreasing, and the desertification degree reduced consistently in Maqu County in the nearly 15 years; (3) in a belt by the Yellow River about 5 km width, the desertification was much more serious than that in the entire county, and the change tendency was opposite to the entire county, showing a transfer of land from non-desertification to mild desertification. |
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| Keywords: | desertification Maqu County Albedo-NDVI feature space spatio-temporal dynamic monitoring |
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