Assessment of structural and functional characteristics of cropping systems using advanced terrestrial, air-, and spaceborne remote sensing applications

使用先进的地面、空中和星载遥感应用评估种植系统的结构和功能特征

• 批准号: 289780451
• 负责人: Professor Dr. Michael Wachendorf, since 9/2021
• 金额: --
• 依托单位: Fachgebiet Grünlandwissenschaft und Nachwachsende Rohstoffe
• 依托单位国家: 德国
• 项目类别: Research Units
• 财政年份: 2016
• 资助国家: 德国
• 起止时间: 2015-12-31 至 2021-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/289780451?language=en
• 关键词: Assessment; structural; functional; characteristics; cropping

The overarching objective of the project is to establish remote sensing applications, which allow the assessment of important structural (crop height, crop species) and functional characteristics (yield, quality) of agricultural crops and cropping systems under the soil and climate conditions of Bangalore. Specific objectives are: 1. To calibrate various remote sensors (proximal hyperspectral radiometer; terrestrial high-resolution 3D laser scanner; full-frame hyperspectral imaging spectrometer) based on reference data (biomass, leaf area index, nitrogen and fibre concentration, N nutrition index) from the field experiment at UASB, which comprises a unique variability of most relevant crop species at different levels of water and nitrogen availability; 2. To test the potential of sensor combinations for the assessment of crop characteristics. The main aim is to prove if terrestrial high-resolution 3D laser scanning techniques can compensate saturation effects with spectrometry at higher levels of crop leaf area index; 3. To compare results from terrestrial hyperspectral spectrometry with space-borne multi-spectral imagery and to create hyper-spectral libraries, using an n-dimensional angle to match satellite image pixels to reference spectra, which is expected to improve the performance of space-borne spectrometry; 4. To develop identification and classification procedures for crop species and crop management intensity, which is a prerequisite for the generation of spatio-temporal explicit crop maps of the larger area of Bangalore; 5. To validate the models accuracy using independent data from on-farm experimental fields located on the transects of Bangalore; The development of models and their thorough validation, and the generation of data supporting the performance of space-borne remote sensing will allow C01 to create the methodological basis for a large-scale assessment of cropping systems. Thus, the outcomes of C01 are essential elements for the envisaged assessment of spatio-temporal dynamics of cropping systems along the rural-urban interface in Bangalore and the analysis within FOR2432.

该项目的首要目标是建立遥感应用，从而能够评估班加罗尔土壤和气候条件下农作物和耕作制度的重要结构特征（作物高度、作物种类）和功能特征（产量、质量）。具体目标是：1.根据在UASB进行的实地试验获得的参考数据（生物量、叶面积指数、氮和纤维浓度、氮营养指数）校准各种遥感器（近端高光谱辐射计、地面高分辨率三维激光扫描仪、全帧高光谱成像光谱仪），该试验包括最相关作物物种在不同水和氮供应水平下的独特变异性; 2.测试传感器组合用于评估作物特性的潜力。主要目的是证明地面高分辨率三维激光扫描技术是否可以在更高水平的作物叶面积指数下补偿光谱法的饱和效应; 3.将地面高光谱光谱测量结果与星载多光谱图像进行比较，并创建高光谱库，使用n维角度将卫星图像像素与参考光谱进行匹配，这有望提高星载光谱测量的性能; 4.开发作物种类和作物管理强度的识别和分类程序，这是生成班加罗尔较大区域的时空明确作物地图的先决条件; 5.使用来自位于班加罗尔样带上的农场试验田的独立数据验证模型的准确性;模型的开发及其彻底验证，以及生成支持空间遥感性能的数据，将使C 01能够为大规模评估耕作制度奠定方法学基础。因此，C 01的结果是基本要素的设想评估种植系统的时空动态沿着在班加罗尔的农村-城市界面和分析内FOR 2432。