Land Use and Land Cover Mapping in Europe Practices & Trends

 Land use and land cover (LULC) as well as its changes (LUCC) are an interplay between bio-geophysical characteristics of the landscape and climate as well as the complex human interaction including its different patterns of utilization superimposed on the natural vegetation. LULC is a core informat...

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Bibliographic Details
Other Authors: Manakos, Ioannis (Editor), Braun, Matthias (Editor)
Format: eBook
Language:English
Published: Dordrecht Springer Netherlands 2014, 2014
Edition:1st ed. 2014
Series:Remote Sensing and Digital Image Processing
Subjects:
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
Table of Contents:
  • 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+