Development of area-wide functional indicators using remotely sensed data

利用遥感数据制定区域功能指标

• 批准号: 233599952
• 负责人: Professor Dr. Jörg Bendix
• 金额: --
• 依托单位: Empresa Pública Municipal de Telecomunicaciones, Agua Potable, Alcantarillado y Saneamiento de Cuenca (ETAPA)
• 依托单位国家: 德国
• 项目类别: Research Grants (Transfer Project)
• 财政年份: 2013
• 资助国家: 德国
• 起止时间: 2012-12-31 至 2018-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/233599952?language=en
• 关键词: Development; area; wide; functional; indicators

The proposal aims at the development and implementation of area-wide functional indicators (Evapotranspiration ET, Primary Production, Water Use Efficiency) which can be used to monitor changes in tree water relations due to environmental change (land use and climate change) and to identify water sensitive indicator trees. Calibration and quality assessment of the developed algorithms will be conducted among others with scintillometer and eddy covariance measurements above the canopy, and observation-based model results of project C5 and others. For the model of C5, the required tree crown illumination (sunlit and shaded fraction) will be calculated by means of LiDAR data. Furthermore, the proposal aims at deriving area-wide structural and multi-/hyperspectral predictor variables applicable to develop and implement area-wide functional indicators on biodiversity and ecosystem processes in collaboration with project C2. Among others, the variables are water stress and productivity related indices but also structural parameters as e.g. vegetation height and canopy density. The third aim is to provide other platform projects with future land use change projections based on change detection and Multi Objective Land Allocation (MOLA) techniques. Indicators and predictor variables are developed on the crown scale with high resolution data (1 - 6.5 m resolution per Pixel) and are then upscaled to the landscape scale (~30 m pixel resolution) for area-wide monitoring in southern Ecuador. The implementation in an operational monitoring system together with the non-university cooperation partners requires indicators which can be derived from operationally available data sources.

该提案旨在制定和实施区域范围的功能指标（蒸散量ET，初级生产，水利用效率），可用于监测由于环境变化（土地使用和气候变化）引起的树木水分关系的变化，并确定对水敏感的指示树。所开发的算法的校准和质量评估将通过冠层上方的风速计和涡度协方差测量以及项目C5和其他项目的基于观测的模型结果进行。对于C5模型，将通过激光雷达数据计算所需的树冠照明（阳光照射和阴影部分）。此外，该提案旨在与项目C2合作，得出适用于制定和实施关于生物多样性和生态系统进程的全区域功能指标的全区域结构和多光谱/高光谱预测变量。除其他外，这些变量是与水分胁迫和生产力有关的指数，但也有结构参数，如植被高度和树冠密度。第三个目标是为其他平台项目提供基于变化检测和多目标土地分配技术的未来土地利用变化预测。指标和预测变量是在树冠尺度上用高分辨率数据（每像素1 - 6.5米分辨率）制定的，然后升级到景观尺度（约30米像素分辨率），用于厄瓜多尔南部的区域监测。与非大学合作伙伴一起在业务监测系统中实施，需要从业务上现有的数据来源中得出指标。