Spectral and Spatial Classification Methods in the ARSGISIP project

B. Müschen , W.A. Flügel , V. Hochschild , K. Steinnocher , F. Quiel
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引用次数: 8

Abstract

The overall objective of the EU project ARSGISIP is to promote the application of Earth Observation (EO) techniques and GIS integration for the parameterization of hydrological, erosion, and solute transport models. Activities of the first two project years are presented, emphasizing the common environmental problem of nutrient leaching within three representative basins located in Germany, Austria and Sweden. The scientific approach is focussed on physical parameters describing soil and vegetation cover by means of multi-resolution and multi-spectral land use classifications using Landsat-5 TM and IRS-IC PAN as well as ERS-2 radar data. Results confirm that major land use classes and crops can be classified with high accuracy with multi-temporal optical data. Multi-temporal ERS-2 radar data support the separation of major crop types.

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ARSGISIP项目中的光谱和空间分类方法
欧盟ARSGISIP项目的总体目标是促进地球观测(EO)技术和GIS集成在水文、侵蚀和溶质运移模型参数化方面的应用。介绍了项目头两年的活动,强调在位于德国、奥地利和瑞典的三个有代表性的流域内营养物浸出的共同环境问题。科学方法侧重于描述土壤和植被覆盖的物理参数,通过使用Landsat-5 TM和IRS-IC PAN以及ERS-2雷达数据进行多分辨率和多光谱土地利用分类。结果表明,利用多时相光学数据可以对主要土地利用类别和作物进行高精度分类。多时相ERS-2雷达数据支持主要作物类型的分离。
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