In recent years, large scale land cover maps constructed from remotely sensed data have become important information sources for resource management. Classifiers are commonly used to predict land cover for unsampled map units; hence, they play a key role in map construction. Achieving adequate classifier accuracy is often problematic for highly variable and difficult-to-sample landscapes. This ...

This paper describes first results of a land cover / land use (LCLU) classification of Germany, developed at the German Remote Sensing Data Center (DLR-DFD). The automated, yearly updated product is based on MERIS level 2 full resolution data. The classification procedure consists of two main steps, namely a multispectral and a multitemporal analysis. The legend of the LCLU map is defined accor...

We present a methodology to detect terrain mobilization in the years following a fire using multitemporal Landsat TM imagery. Furthermore, we show the spectral evolution of the land cover since fire occurrence, and analyze the feasibility of detecting the type of land cover a number of years after fire occurrence. The methodology developed here is a spectral change identification technique base...

The European CORINE land cover mapping scheme is a standardized classification system with 44 land cover and land use classes. It is used by the European Environment Agency to report large-scale land cover change with a minimum mapping unit of 5 ha every six years and operationally mapped by its member states. The most commonly applied method to map CORINE land cover change is by visual interpr...

Volunteered Geographic Information (VGI) represents a growing source of potentially valuable data for many applications, including land cover map validation. It is still an emerging field and many different approaches can be used to take value from VGI, but also many pros and cons are related to its use. Therefore, since it is timely to get an overview of the subject, the aim of this article is...

Environmental datasets are subject to ontological differences in the way that information is recorded and reported. One of the implications is that environmental monitoring and the identification of loci of change is difficult. This generic problem is explored with reference to land cover mapping in the UK. The decennial land cover projects (LCMGB and LCM2000) are introduced and their differenc...

1. Introduction Much work integrating geographic data has identified semantic differences between data concepts as one of the key issues that need to be overcome (refs). To address this Comber et al (submitted) have developed and implemented an integration approach based on an expression of Expert opinion on how the data elements or objects in one dataset relate to those of another. Land cover ...

Per-pixel and sub-pixel are two common classification methods in land cover studies. The characteristics of a landscape, particularly the land cover itself, can affect the accuracies of both methods. The objectives of this study were to: (1) compare the performance of sub-pixel vs. per-pixel classification methods for a broad heterogeneous region; and (2) analyze the impact of land cover hetero...

This paper presents research results on the dasymetric mapping method, the methodology adopted and a Dasymetric Population Density Map of the Northeastern Part of Poland. After studying certain published dasymetric mapping methods, a decision was made to start from the binary dasymetric procedure as described by Langdorf and Unwin (1994) in order to eliminate unpopulated regions. The CORINE Lan...