34th Asian Conference on Remote Sensing 2013 (ACRS 2013)
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The manual methods of interpretation of satellite images and classification of land cover are generally performed based on the observation using the data acquired
8.6 Short-time change detection of urban green spaces in the pilot area of the Walled City of Multan using high-resolution GeoEye-1 and WorldView-2 satellite data..
Chapter 11 reviews the application of Artificial Neural Networks to land cover classification in remote sensing images and reports results on change detection using the Elmann
Monitoring Land Use Change and its Impacts on Land Degradation and Desertification Trend Using Landsat Satellite Images Case study: East of Iran, Hamoon Wetland.. Applicability of
IDENTIFICATION OF LAND COVER CHANGES FROM LANDSAT 8 OLI SATELLITE IMAGERY USING NORMALIZED DIFFERENCE VEGETATION INDEX NDVI METHOD STUDY CASE: SURABAYA Syafira Alif Yusroni, Vahira
CHANGE DETECTION MATRIX ANALYSIS OF LAND USE/LAND COVER MAPPING OF 11 MANDALS USING REMOTE SENSING AND GEOGRAPHICAL INFORMATION SYSTEMS IN COASTAL PART OF EAST GODAVARI DISTRICT,
Data Source Information 1 Landsat 5 MSS Satellite Imagery for 2009 earthexplorer.usgs.gov Volcanic Ash Column in 2009 2 Landsat 5 MSS Satellite Imagery for 2010 earthexplorer.usgs.gov
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