• Applicability of NOAA-AVHRR 1-km data for land cover based environmental monitoring in Europe Final report part 1

      Muecher CA; Veldkamp JG; Katwijk VF van; Nieuwenhuis GJA; Velde RJ van de; LBG; DLO Winand Staring Centrum; Geodan BV (DLO-Winand Staring CentrumWageningen (SC-DLO)Geodan, 1996-12-31)
      The main objective of the study was to find out whether the multi-spectral and multi-temporal classification of AVHRR satelite data could lead to an operational method to establish a 1-km pan-European Land Cover Database for environmental monitoring. The classification methodology was applied to a vast area including France and direct surroundings. Major conclusions are: decision keys should be developed that exploit both the use of multi-temporal composites and multi-spectral data ; the current classification method allows only distinction of main land cover types ; due to the mixed pixel problem the contents of an AVHRR derived land cover class can differ substantially over Europe ; the main advantages of AVHRR derived land cover data for environmental monitoring at a European scale are its high spatial detail and its consistent quality - the main disadvantage is the absence of specific classes, such as permanent crops, which is a very important class for calculations of pesticide loads.
    • The preparation of a European land use database

      Velde RJ van de; Faber WS; Katwijk VF van; Kuylenstierna JCI; Scholten HJ; Thewessen TJM; Verspuij M; Zevenbergen M; LBG; Geodan BV; Stockholm Environment Institute; Vrije Universiteit Amsterdam/Faculty of Economics (1994-09-30)
      Environmental monitoring and forecasting on a European scale are influenced significantly by the accuracy of land use and land cover data. Due to an urgent need for a geo-referenced European land use database the National Institute of Public Health and Environmental Protection (RIVM) initiated the creation of a digital 10 minutes Pan-European land use database. The 1.0 version of the European Land Use Database is now available. Seven land use categories were distinguished including arable land, grassland for agricultural use, permanent crops, forest and urban areas. Important input data came from SEI, Eurostat, USDMA, FAO (maps), INENCO and a large number of national sources. Locational data (land use polygons in a vector database) were combined with data from statistical sources (statistical database). In general the areal estimates in the Land Use Database show a reasonable fit with external statistical sources.