Gerard F., Petit S., Smith G., Thomson A., Brown N., Manchester S., Wadsworth R., Bugar G., Halada L., Bezák P., Boltiziar M., de Badts E., Halabuk A., Mojses M., Petrovic F., Gregor M., Hazeu G., Mücher C.A., Wachowicz M., Huitu H., Tuominen S., Köhler R., Olschofsky K., Ziese H., Kolar J., Sustera J., Luque S., Pino J., Pons X., Roda F., Roscher M., Feranec J. (2010) Land cover change in Europe between 1950 and 2000 determined employing aerial photography. Progress in Physical Geography. 34: 183-205.EnllaçDoi: 10.1177/0309133309360141
BIOPRESS ('Linking Pan-European Land Cover Change to Pressures on Biodiversity'), a European Commission funded 'Global Monitoring for Environment and Security' project, produced land cover change information (1950-2000) for Europe from aerial photographs and tested the suitability of this for monitoring habitats and biodiversity. The methods and results related to the land cover change work are summarized. Changes in land cover were established through 73 window and 59 transect samples distributed across Europe. Although the sample size was too small and biased to fully represent the spatial variability observed in Europe, the work highlighted the importance of method consistency, the choice of nomenclature and spatial scale. The results suggest different processes are taking place in different parts of Europe: the Boreal and Alpine regions are dominated by forest management; abandonment and intensification are mainly encountered in the Mediterranean; urbanization and drainage are more characteristic of the Continental and Atlantic regions. © The Author(s) 2010.
Marcer A., Garcia V., Escobar A., Pons X. (2010) Handling historical information on protected-area systems and coverage. An information system for the Natura 2000 European context. Environmental Modelling and Software. 25: 956-964.EnllaçDoi: 10.1016/j.envsoft.2010.03.011
Protected-area coverage is an internationally-recognized surrogate indicator for measuring biodiversity conservation. To measure trends in biodiversity conservation over time, historical records on protected-area boundaries are needed. Protected-area systems represent a challenge in information management for public environmental organizations. Protected areas may be subjected to changes which must follow a mandatory multiple-step administrative process. A wealth of information is generated which needs to be stored in a way that eases the handling process and for future reference. We present an information system which handles both change on protected-area boundaries over time and their related administrative processes. It also provides distributed data maintenance functionality as well as integrated alphanumeric, file and cartographic information handling. We discuss the actual implementation of the system for handling Natura 2000 sites in the Catalan and Spanish contexts. The designed system is applicable to other European Union member states. © 2010 Elsevier Ltd. All rights reserved.
Zabala A., Gonzalez-Conejero J., Serra-Sagrista J., Pons X. (2010) JPEG2000 encoding of images with NODATA regions for remote sensing applications. Journal of Applied Remote Sensing. 4: 0-0.EnllaçDoi: 10.1117/1.3474978
The aim of this work is to, within the JPEG2000 framework, enhance the coding performance obtained for images that contain regions without useful information, or without information at all, here named as NODATA regions. In Geographic Information Systems (GIS) and in Remote Sensing (RS), NODATA regions arise due to several factors, such as geometric and radiometric corrections, atmospheric events, the overlapping of successive layers of information, etc. Most coding systems are not devised to consider these regions separately from the rest of the image, sometimes causing a loss in the coding efficiency and in the post-processing applications. We propose two approaches that address this issue; the first technique (Average Data Region, ADR) is carried out as simple pre-processing and the second technique (Shape-Adaptive JPEG2000, SA-JPEG2000) modifies the coding system to avoid the regions without information. Experimental results, performed on data from real applications and different scenarios, suggest that the proposed approaches can achieve, e.g., for SA-JPEG2000, a Signal-to-Noise Ratio improvement of about 8 dB. Moreover, in a post-processing application such as a digital classification, the best classification results are obtained when the proposed approaches SA-JPEG2000 and ADR are applied. © 2010 Society of Photo-Optical Instrumentation Engineers.
Dona't d'alta al Newsletter per rebre totes les novetats del CREAF al teu e-mail.
© 2016 CREAF | Avís legal