基于Albedo-NDVI特征空间的玛曲县荒漠化时空动态监测

doi:10.7522/j.issn.1000-0240.2019.0101

冰川冻土 ›› 2019, Vol. 41 ›› Issue (1): 45-53.doi: 10.7522/j.issn.1000-0240.2019.0101

• 冰冻圈与全球变化 • 上一篇

基于Albedo-NDVI特征空间的玛曲县荒漠化时空动态监测

邹明亮¹, 韩雅敏¹, 曾建军¹, 杨超¹, 徐晓锋², 郭建军³, 岳东霞^1,4

1. 兰州大学资源环境学院, 甘肃兰州 730000;
2. 兰州大学管理学院, 甘肃兰州 730000;
3. 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;
4. 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

收稿日期:2018-06-20 修回日期:2019-01-11 发布日期:2019-03-16
作者简介:邹明亮(1992-),男,广东龙川人,2015年在海南大学获学士学位,现为兰州大学在读硕士研究生,从事生态遥感方向研究.E-mail:dxyue@lzu.edu.cn
基金资助:
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

Temporal and spatial dynamic mornitoring of desertification in Maqu County based on Albedo-NDVI features space

ZOU Mingliang¹, HAN Yamin¹, ZENG Jianjun¹, YANG Chao¹, XU Xiaofeng², GUO Jianjun³, YUE Dongxia^1,4

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

Received:2018-06-20 Revised:2019-01-11 Published:2019-03-16

摘要/Abstract

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。

关键词: 荒漠化, 玛曲县, Albedo-NDVI特征空间, 时空动态监测

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.

Key words: desertification, Maqu County, Albedo-NDVI feature space, spatio-temporal dynamic monitoring

中图分类号:

X171

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.

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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基于Albedo-NDVI特征空间的玛曲县荒漠化时空动态监测

Temporal and spatial dynamic mornitoring of desertification in Maqu County based on Albedo-NDVI features space

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