NEW LU/LC Book — EARSeL SIG Land Use & Land Cover

EARSeL Book Series, Remote Sensing and Digital Image Processing, Volume 18

Thanks to an initiative in 2011 during the 4th SIG Workshop in Prague the members and chairmen of the SIG managed to launch in March 2014 the "Land Use and Land Cover Mapping in Europe - Practices & Trends" Book within the EARSeL Book Series, Springer Verlag. Topics covered include:

A. Framework conditions

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.

B. Operational European Mapping and monitoring services:

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.

C. State of the art mapping methods

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.

D. National practice examples

Remote sensing of vegetation for nature conservation.- Modeling urban sprawl.- Land Information System Austria (LISA).
Digital Land Cover Model for Germany DLM DE.
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.

E. Multi-temporal monitoring in support of decision making and implementation at regional, national and local scale

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+.

Thanks to all contributors (authors, reviewers, co-editors, Book Series editors) and their Institutes, EARSeL, and Springer Verlag.