干旱区生态环境知识资源中心(Arid): 基于梯度结构相似度的矿区土壤湿度空间分析

Arid

	基于梯度结构相似度的矿区土壤湿度空间分析
其他题名	Spatial Distribution Characteristics Analysis of Soil Moisture in Desertification Mining Areas Based on Gradient-Based Structural Similarity
	刘英 1; 吴立新 2; 岳辉 1
来源期刊	武汉大学学报. 信息科学版
ISSN	1671-8860
出版年	2018
卷号	43 期号:1 页码:87-93
中文摘要	基于中国蒙、陕、晋三省区的神东矿区2000至2015年成像光谱仪数据,双抛物线型归一化植被指数(normalized difference vegetation index,NDVI)和地表辐射温度(land surface temperature,Ts)(记为NDVITs)特征空间的温度植被干旱指数法计量地表土壤湿度,采用梯度结构相似度法定量分析研究区土壤湿度的时空分布特征。结果表明:神东矿区土壤湿度变化具有明显时空分布异质性,空间上,矿区土壤湿度表现出从西北部向东南部逐渐增加的规律,干旱区域由2000年的96.03%下降到2015年的59.59%;矿区60.05%的区域的土壤湿度发生了突变,其中49.87%区域地表植被覆盖得到明显改善,土壤湿度得到明显提高;35.18%的区域的土壤湿度发生了变化,其中28.13%区域地表植被覆盖有所改善,土壤湿度有所增加;仅有4.77%的区域的土壤湿度没有发生改变。进一步分析表明,地表土壤湿度的时空分布特征受区域地貌类型和下垫面覆盖影响较大。
英文摘要	Soil moisture is the key element in study of underground coal mining disturbance in desert mining area.The Shendong mining area in China,a typical desert mining area,and was selected as the research region.Temperature vegetation dryness index(TVDI),acquired from the bi-parabolic NDVI- Tsspace,was applied to monitor the soil moisture conditions in Shendong mining area based on the MODIS data from 2000 to 2015.The gradient-based structural similarity(GSSIM)method was applied to quantitatively analyze the spatial distribution of soil moisture in Shendong mining area over the past 16 years.The results show that the change of soil moisture has distinct temporal and spatial heterogeneity characteristics in the Shendong mining area,specifically expressed as follows:(1)there was a gradually increasing trend of soil moisture from the northwest to the southeast;while the drought area dropped from 96.03%in 2000 to 59.59%in 2015;(2)soil moisture mutated in most of mining area,accounting for 60.08%of the total area from 2000 to 2015,and 49.87%of the vegetation cover in the mutated area showed significant betterment,as the soil moisture apparently improved.About 35.18%of the area showed changes in soil moisture while 28.13% of the vegetation cover improved with increased soil moisture.Soil moisture,in only 4.75%of the mining area,did not change significantly.The spatio-temporal distribution of soil moisture are influenced by landforms and underlying surfaces.
中文关键词	荒漠化矿区 ; 土壤湿度 ; 双抛物线型NDVI-Ts特征空间 ; 梯度结构相似度 ; 空间分布特征
英文关键词	desert mining area soil moisture bi-parabolic NDVI-Tsspace gradient-based structural similarity spatial distribution features
语种	中文
国家	中国
收录类别	CSCD
WOS类目	REMOTE SENSING
WOS研究方向	Remote Sensing
CSCD记录号	CSCD:6178663
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/238434
作者单位	1.西安科技大学测绘科学与技术学院, 西安, 陕西 710054, 中国; 2.中南大学地球科学与信息物理学院, 长沙, 湖南 410012, 中国
推荐引用方式 GB/T 7714	刘英,吴立新,岳辉. 基于梯度结构相似度的矿区土壤湿度空间分析[J],2018,43(1):87-93.
APA	刘英,吴立新,&岳辉.(2018).基于梯度结构相似度的矿区土壤湿度空间分析.武汉大学学报. 信息科学版,43(1),87-93.
MLA	刘英,et al."基于梯度结构相似度的矿区土壤湿度空间分析".武汉大学学报. 信息科学版 43.1(2018):87-93.