项目名称: 基于高光谱耦合建模的干旱遥感反演技术
项目编号: No.31460195
项目类型: 地区科学基金项目
立项/批准年度: 2015
项目学科: 农业科学
项目作者: 张超
作者单位: 西南林业大学
项目金额: 50万元
中文摘要: 近年来,发生在我国西南地区的持续干旱已严重影响了当地社会、经济的可持续发展,甚至给当地群众的基本生活带来严重威胁。开展基于高光谱的干旱遥感反演技术研究,使精确、及时、动态监测与区域性干旱预警成为可能,具有十分重要的意义。本项申请以西南地区滇中高原典型陆地植被冠层水分和温度为遥感反演的主要目标,使用分割更为精细的高光谱遥感数据,研究典型陆地植被的冠层水分和冠层温度与光谱反射率之间的关系(分段线性或非线性关系),提出基于冠层水分和冠层温度的干旱区典型植被高光谱干旱遥感监测的波段范围,并对冠层水分和冠层温度进行定量反演,利用多重对应分析方法(MCA)对冠层水分和冠层温度进行耦合建模,形成基于高光谱遥感数据的干旱遥感监测技术,为今后区域性干旱遥感监测领域的研究提供理论依据和技术支持。
中文关键词: 干旱监测;高光谱遥感;冠层水分;冠层温度;耦合建模
英文摘要: The social and economic sustainable development, even the local people's basic survive, were seriously affected by the sustained drought in Southwest China. It has great significance to carry out the drought monitoring based on Hyperspectral Remote Sensing which makes it possible to early warning of regional drought accurately and dynamically. Based on the explicit spectrum segmentation of Hyperspectral Remote Sensing data, this propose will take the crown water content and crown temperature of typical vegetations in the central Yunnan Plateau of Southwest China as research subject, and the relationship between the crown water content and crown temperature of typical vegetation, which is linear or nonlinear, will be analyzed. Also, the suitable spectrum band range to drought monitoring using Hyperspectral Remote Sensing data will be proposed, and the precision retrieval between the crown water content and crown temperature will be carried out. By using the method of Multiple Correspondence Analysis (MCA), the coupling modeling between the crown water content and crown temperature will be built, which will supply the theory basis and the technical support to lately regional drought remote sensing monitoring research.
英文关键词: Drought Monitoring;Hyperspectral Remote Sensing;Crown Water;Crown Temperature;Coupling Modeling