E-Book, Englisch, Band 18, 441 Seiten, eBook
Manakos / Braun Land Use and Land Cover Mapping in Europe
1. Auflage 2014
ISBN: 978-94-007-7969-3
Verlag: Springer Netherland
Format: PDF
Kopierschutz: 1 - PDF Watermark
Practices & Trends
E-Book, Englisch, Band 18, 441 Seiten, eBook
Reihe: Remote Sensing and Digital Image Processing
ISBN: 978-94-007-7969-3
Verlag: Springer Netherland
Format: PDF
Kopierschutz: 1 - PDF Watermark
Zielgruppe
Research
Autoren/Hrsg.
Weitere Infos & Material
Remote Sensing in support of the geo-information in Europe.- Global land cover mapping: Current status and future trends.- The users’ role in the current European land monitoring context.- Towards an European land cover monitoring service and high-resolution layers .- CORINE Land Cover and land cover change products.- European Area Frame Sampling based on Very High Resolution image.- European forest monitoring approaches.- The European Urban Atlas.- A review of modern approaches to classification of remote sensing data.- Recent advances in remote sensing change detection – a review.- Synergies from SAR-optical data fusion for LULC mapping.- Application of object-oriented method for classification of VHR satellite images using rule-based approach and texture measures.- Remote sensing of vegetation for nature conservation.- Modeling urban sprawl.- Land Information System Austria (LISA).- Digital Land Cover Model for Germany DLM DE – The “German Way”.- Land Use & land cover mapping in Europe: Examples from the UK.- Operational land cover and land use mapping in the Netherlands.- The use of the Land-Cover Classification System in Eastern European countries: experiences, lessons learnt and the way forward.- Differentiation of Crop Types and Grassland by Multi-Scale Analysis of Seasonal Satellite Data.- Enhancing remotely sensed low resolution vegetation data for assessing Mediterranean areas prone to land degradation.- Beyond NDVI: Extraction of biophysical variables from remote sensing imagery.- Land transformation processes in NE China: Tracking trade-offs in ecosystem services across several decades with Landsat-TM/ETM+ time series.- Carbon stock estimation of tropical forests on Borneo, Indonesia, for REDD+.