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 information layer for a variety of scientific and administrative tasks(e.g. hydrological modelling, climate models, land use planning).In particular in the context of climate change with its impacts on socio-economic, socio-ecologic systems as well as ecosystem services precise information on LULC and LUCC are mandatory baseline datasets required over large areas. Remote sensing can provide such information on different levels of detail and in a homogeneous and reliable way. Hence, LULC mapping can be regarded as a prototype for integrated approaches based on spaceborne and airborne remote sensing techniques combined with field observations. The book provides for the first time a comprehensive view of various LULC activities focusing on European initiatives, such as the LUCAS surveys, the CORINE land covers, the ESA/EU GMES program and its resulting Fast-Track- and Downstream Services, the EU JRC Global Land Cover, the ESA GlobCover project as well as the ESA initiative on Essential Climate Variables. All have and are producing highly appreciated land cover products. The book will cover the operational approaches, but also review current state-of-the-art scientific methodologies and recommendations for this field. It opens the view with best-practice examples that lead to a view that exceeds pure mapping, but to investigate into drivers and causes as well as future projections.
Author(s): Ioannis Manakos, Matthias Braun (eds.)
Series: Remote Sensing and Digital Image Processing 18
Edition: 1
Publisher: Springer Netherlands
Year: 2014
Language: English
Pages: 441
Tags: Earth Sciences, general; Environment, general; Remote Sensing/Photogrammetry; Statistics, general; Geography (general)
Front Matter....Pages i-xi
Front Matter....Pages 1-1
Remote Sensing in Support of the Geo-information in Europe....Pages 3-10
Global Land Cover Mapping: Current Status and Future Trends....Pages 11-30
The Users’ Role in the European Land Monitoring Context....Pages 31-41
Towards an European Land Cover Monitoring Service and High-Resolution Layers....Pages 43-52
Front Matter....Pages 53-53
CORINE Land Cover and Land Cover Change Products....Pages 55-74
European Area Frame Sampling Based on Very High Resolution Images....Pages 75-88
European Forest Monitoring Approaches....Pages 89-114
The European Urban Atlas....Pages 115-124
Front Matter....Pages 125-125
A Review of Modern Approaches to Classification of Remote Sensing Data....Pages 127-143
Recent Advances in Remote Sensing Change Detection – A Review....Pages 145-178
Synergies from SAR-Optical Data Fusion for LULC Mapping....Pages 179-191
Application of an Object-Oriented Method for Classification of VHR Satellite Images Using a Rule-Based Approach and Texture Measures....Pages 193-201
Remote Sensing of Vegetation for Nature Conservation....Pages 203-215
Modeling Urban Sprawl....Pages 217-233
Front Matter....Pages 235-235
Land Information System Austria (LISA)....Pages 237-254
Digital Land Cover Model for Germany – DLM-DE....Pages 255-272
Land Use & Land Cover Mapping in Europe: Examples from the UK....Pages 273-282
Operational Land Cover and Land Use Mapping in the Netherlands....Pages 283-296
The Use of the Land-Cover Classification System in Eastern European Countries: Experiences, Lessons Learnt and the Way Forward....Pages 297-325
Front Matter....Pages 327-327
Differentiation of Crop Types and Grassland by Multi-scale Analysis of Seasonal Satellite Data....Pages 329-339
Front Matter....Pages 327-327
Enhancing Remotely Sensed Low Resolution Vegetation Data for Assessing Mediterranean Areas Prone to Land Degradation....Pages 341-362
Beyond NDVI: Extraction of Biophysical Variables From Remote Sensing Imagery....Pages 363-381
Land Transformation Processes in NE China: Tracking Trade-Offs in Ecosystem Services Across Several Decades with Landsat-TM/ETM+ time Series....Pages 383-409
Carbon Stock Estimation of Tropical Forests on Borneo, Indonesia, for REDD+....Pages 411-427
Back Matter....Pages 429-441
