基于Landsat 8 TIRS数据与TVDI的流域地表土壤干旱分析
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  • 英文篇名:Estimation of Surface Soil Dryness Based on Landsat 8 TIRS Data and Temperature-Vegetation Dryness Index
  • 作者:姚月锋 ; 李莉
  • 英文作者:YAO Yue-feng;LI Li;Guangxi Key Laboratory of Plant Conservation and Restoration Ecology in Karst Terrain, Guangxi Institute of Botany, Chinese Academy of Sciences;
  • 关键词:地表温度 ; 归一化植被指数 ; 单窗算法 ; 温度-植被干旱指数 ; 漓江流域
  • 英文关键词:Land surface temperature;;Normalized difference vegetation index;;Mono-window algorithm;;Temperature-vegetation dryness index;;Lijiang River basin
  • 中文刊名:TRTB
  • 英文刊名:Chinese Journal of Soil Science
  • 机构:广西喀斯特植物保育与恢复生态学重点实验室广西壮族自治区中国科学院广西植物研究所;
  • 出版日期:2019-04-06
  • 出版单位:土壤通报
  • 年:2019
  • 期:v.50;No.299
  • 基金:国家自然科学基金项目(41401211);; 中国科学院“西部之光”人才培养计划项目(2014);; 广西喀斯特植物保育与恢复生态学重点实验室自主课题(16-A-02-03)资助
  • 语种:中文;
  • 页:TRTB201902005
  • 页数:8
  • CN:02
  • ISSN:21-1172/S
  • 分类号:36-43
摘要
以漓江上游流域为研究区域,利用较高空间分辨率的Landsat 8 TIRS数据定量反演流域的地表温度,并结合温度-植被干旱指数探讨干旱季节流域地表土壤干旱时空分布特征。结果表明:不同干旱季节,漓江上游流域地表温度分布规律类似,即以林地为主的上游流域地表温度低于以城乡工矿居民用地为主的中下游区域;流域地表土壤以干旱等级为主,部分区域出现极干旱现象,在一定程度上会影响区域农业和旅游业的可持续发展。流域地表土壤干旱程度受土地利用类型影响明显,以林地为主的上游区域地表土壤主要为湿润等级,而以城乡工矿居民用地为主的中下游区域主要为干旱等级。
        In this study, we used the thermal infrared sensor(TIRS) data of Landsat 8 to retrieve land surface temperature(LST) by an improved mono-window algorithm(IMW), and estimated the surface soil dryness status and its distribution pattern with temperature-vegetation dryness index(TVDI) combined with LST and Normalized Difference Vegetation Index(NDVI) in the upper Lijiang River basin. The results showed that the temporal and spatial pattern of LST was similar in different drought seasons. The LST was higher in the middle and downstream areas of the upper Lijiang River basin, while the LST was lower in the headstream areas occupied by forest. According to the status of surface soil dryness classified by TVDI, the upper Lijiang River basin displayed adrought condition. Some areas especially urban areas were extremely drought. The drought condition in dry season would impede the sustainable development of irritation agriculture and tourism in the Lijiang River basin. The surface soil dryness was influenced significantly by land use change in the upper Lijiang River basin, with wet status in forest areas and drought status in urban areas.
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