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| 基于线性光谱分离技术的西藏乃东县土地覆被变化监测 | |
| 引用本文： | 戴尔阜,吴卓,芦海花,付华. 基于线性光谱分离技术的西藏乃东县土地覆被变化监测[J]. 地理科学进展, 2015, 34(7): 854-861. DOI: 10.18306/dlkxjz.2015.07.007 |
| 作者姓名： | 戴尔阜 吴卓 芦海花 付华 |
| 作者单位： | 1. 中国科学院地理科学与资源研究所,北京 100101 2. 中国科学院陆地表层格局与模拟重点实验室,北京 100101 3. 中国科学院大学,北京 100049 4. 山西省太原市第二实验中学校,太原 030024 5. 首都师范大学资源环境与旅游学院,北京 100048 |
| 基金项目： | 国家重点基础研究发展计划(973计划)项目(2015CB452702,2012CB416906);国家科技支撑计划项目(2013BAC03B04);国家自然科学基金项目(41371196) |
| 摘 要： | 青藏高原是全球气候变化研究关注的热点地区,也是中国生态保护的重点区域,其土地覆被变化研究对优化土地利用结构、改善土地覆被状况和生态环境具有重要意义。线性光谱分离技术是利用遥感手段监测土地覆被变化的有效方法。本文选取西藏乃东县为研究区,利用1988、2000和2010年三期Landsat TM、ETM遥感影像,采用线性光谱分离技术,定量提取了研究区三期影像中单个像元的植被、裸土、裸岩覆被率比例,同时将植被分量与NDVI结果进行对比分析。结果表明：①研究区山峦重叠,沟谷纵横,地表破碎,混合像元比例高,线性光谱分离技术可以很好地处理复杂地物的土地覆被变化;②1988-2010年间,研究区裸土面积下降幅度较大,植被覆盖率及裸岩覆盖率有所上升,说明本区植被得到一定的恢复,但同时石漠化也在进一步加剧;③通过对线性光谱分离的植被分量与NDVI结果比较,发现线性光谱分离技术对青藏高原土地覆被识别具有较好的适用性。 |
| 关 键 词： | 土地覆被变化 线性光谱分离 植被 裸土/裸岩 乃东县 |
| 收稿时间： | 2014-11-01 |
| 修稿时间： | 2015-04-01 |
Linear spectral unmixing-based method for the detection of land cover change in Naidong County,Qinghai-Tibet Plateau |
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| Erfu DAI,Zhuo WU,Haihua LU,Hua FU. Linear spectral unmixing-based method for the detection of land cover change in Naidong County,Qinghai-Tibet Plateau[J]. Progress in Geography, 2015, 34(7): 854-861. DOI: 10.18306/dlkxjz.2015.07.007 | |
| Authors: | Erfu DAI Zhuo WU Haihua LU Hua FU |
| Affiliation: | 1. Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China 2. University of Chinese Academy of Sciences, Beijing 100049, China 3. Shanxisheng Taiyuanshi di er shiyan zhongxuexiao, Shanxi Province, Taiyuan 030024, China 4. College of Resource Environment and Tourism, Capital Normal University, Beijing 100048, China |
| Abstract: | The Qinghai-Tibet Plateau is a hotspot area for global climate change research and a key area for ecological protection in China. Land cover change research in this area can significantly contribute to optimizingland use pattern and improving ecological services and natural conditions of the region. Among various methods for land cover change detection, linear spectral unmixing (LSU) is an effective approach to monitor land cover change by using remote sensing technology. In this study, we chose Naidong County in Tibet as the study area and adopted the linear spectral unmixing technology to detect the ratio of vegetation, bare soil, and rock for each pixel of three Landsat TM/ETM images from 1988, 2000, and 2010. The vegetation component of the result was compared with NDVI. The results show that: (1) The study area has high proportion of mixed pixels, and LSU can deal with the complex features of land cover changes effectively. (2) The proportion of bare soil reduced evidently while rock and vegetation coverage increased from1988 to 2010. It proves that vegetation cover had recovered to some degree while rocky desertification expanded rapidly. (3) Through comparing the vegetation component with NDVI we conclude that LSU is applicable for the identification of land cover change of the Qinghai-Tibet Plateau. |
| Keywords: | land cover change linear spectral unmixing vegetation bare soil/rock Naidong County |
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