B. Müschen , W.A. Flügel , V. Hochschild , K. Steinnocher , F. Quiel
{"title":"ARSGISIP项目中的光谱和空间分类方法","authors":"B. Müschen , W.A. Flügel , V. Hochschild , K. Steinnocher , F. Quiel","doi":"10.1016/S1464-1909(01)00057-0","DOIUrl":null,"url":null,"abstract":"<div><p>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.</p></div>","PeriodicalId":101025,"journal":{"name":"Physics and Chemistry of the Earth, Part B: Hydrology, Oceans and Atmosphere","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2001-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/S1464-1909(01)00057-0","citationCount":"8","resultStr":"{\"title\":\"Spectral and Spatial Classification Methods in the ARSGISIP project\",\"authors\":\"B. Müschen , W.A. Flügel , V. Hochschild , K. Steinnocher , F. Quiel\",\"doi\":\"10.1016/S1464-1909(01)00057-0\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>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.</p></div>\",\"PeriodicalId\":101025,\"journal\":{\"name\":\"Physics and Chemistry of the Earth, Part B: Hydrology, Oceans and Atmosphere\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2001-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1016/S1464-1909(01)00057-0\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Physics and Chemistry of the Earth, Part B: Hydrology, Oceans and Atmosphere\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1464190901000570\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Physics and Chemistry of the Earth, Part B: Hydrology, Oceans and Atmosphere","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1464190901000570","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Spectral and Spatial Classification Methods in the ARSGISIP project
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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