Regularization strategies for agricultural monitoring: The EnMAP vegetation analyzer (AVA)

K. Richter, T. Hank, C. Atzberger, Matthias Locherer, W. Mauser
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引用次数: 8

Abstract

In the frame of the German hyperspectral satellite mission “Environmental Mapping and Analysis Program” (EnMAP) a software interface is under development to facilitate the processing of the future hyperspectral data used by a range of environmental applications. For agricultural studies, the software will include the Agricultural Vegetation Analyzer (AVA) module, which is based on a look-up table (LUT) inversion of a radiative transfer model (RTM). Moreover, a statistical evaluator box (MapStat) will be implemented to validate, amongst others, the estimation of vegetation biophysical variables. Results from a hyperspectral field campaign with the Airborne Prism Experiment (APEX) instrument in Bavaria (Germany) showed that AVA can be regarded as robust and sound technique obtaining moderate to good results without the need of crop- or site specific calibration. MapStat will guarantee comparability between numerous modeling studies expected in the upcoming years within the context of the future EnMAP sensor.
农业监测的规范化策略:EnMAP植被分析仪(AVA)
在德国高光谱卫星任务“环境测绘和分析计划”(EnMAP)的框架下,正在开发一个软件接口,以促进一系列环境应用中使用的未来高光谱数据的处理。对于农业研究,该软件将包括农业植被分析仪(AVA)模块,该模块基于辐射传输模型(RTM)的查找表(LUT)反演。此外,将实施统计评估框(MapStat)来验证除其他外,植被生物物理变量的估计。在德国巴伐利亚州使用机载棱镜实验(APEX)仪器进行的高光谱场运动结果表明,AVA可以被认为是一种稳健而可靠的技术,无需针对作物或特定地点进行校准,即可获得中等到较好的结果。MapStat将保证在未来EnMAP传感器的背景下,在未来几年的众多建模研究之间的可比性。
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