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Selection: Kempeneers:P [10 articles] 

Publications by author Kempeneers:P.

A versatile data-intensive computing platform for information retrieval from big geospatial data

Future Generation Computer Systems, Vol. 81 (April 2018), pp. 30-40
edited by Elsevier
Keywords: big-data   cloud-computing   foss   geospatial  


The increasing amount of free and open geospatial data of interest to major societal questions calls for the development of innovative data-intensive computing platforms for the efficient and effective extraction of information from these data. This paper proposes a versatile petabyte-scale platform based on commodity hardware and equipped with open-source software for the operating system, the distributed file system, and the task scheduler for batch processing as well as the containerization of user specific applications. Interactive visualization and processing based on ...


Accuracy assessment of a remote sensing-based, pan-European forest cover map using multi-country national forest inventory data

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 6, No. 1. (February 2013), pp. 54-65,


A pan-European forest cover map (FMAP2006) was produced using a novel automated classification approach using remotely sensed data from fine resolution satellite instruments. In contrast to previous classification accuracy assessments of such continental scale land cover products, the current study aimed for a reliable assessment at different geographical levels: pan-European, regional and local level. A unique data set consisting of detailed field inventory plots was provided via a collaboration with the national forest inventories (NFIs) in Europe. Close to 900,000 field ...





[Introduction] pktools is a collection of programs written in C++ for image processing with a focus on remote sensing applications. It relies on the Geospatial Data Abstraction Library (GDAL, and OGR. [\n] All utilities in pktools use command line options and have a built in help [::] use the -h option to get help [::] pktools ALWAYS use -i for input and -o for output (unlike GDAL utilities that commonly use last argument as output and second but last argument as input) ...


Geometric errors of remote sensing images over forest and their propagation to bidirectional studies

Geoscience and Remote Sensing Letters, IEEE, Vol. 10, No. 6. (November 2013), pp. 1459-1463,


This study focused on the need of accurate digital surface models rather than existing digital terrain models for the geometric correction of high spatial resolution images over forests. Based on both theoretical and experimental results, it was shown here that even for close to nadir observations (view angles less than 7°), the geometric error increased from within to beyond the pixel level when not taking into account the canopy height. This is particularly relevant for forest studies on bidirectional effects, data ...


Open Source Geospatial Tools - Applications in Earth Observation



This book focuses on the use of open source software for geospatial analysis. It demonstrates the effectiveness of the command line interface for handling both vector, raster and 3D geospatial data. Appropriate open-source tools for data processing are clearly explained and discusses how they can be used to solve everyday tasks. A series of fully worked case studies are presented including vector spatial analysis, remote sensing data analysis, landcover classification and LiDAR processing. A hands-on introduction to the application programming interface (API) ...


Pan-European forest maps derived from optical satellite imagery

IEEE Earthzine, Vol. 5, No. 2. (2012), 390004


Two pan-European forest maps were produced by the European Commission’s Joint Research Centre for the years 2000 and 2006. Both forest maps were derived from high-resolution, optical satellite imagery using an automatic processing technique, while the forest map from 2006 was further refined to map forest types using MODIS satellite imagery. This article provides a summary of the methodology and the associated accuracy assessment for the two maps. ...


Comprehensive monitoring of wildfires in Europe: the European Forest Fire Information System (EFFIS)

In Approaches to Managing Disaster - Assessing Hazards, Emergencies and Disaster Impacts (14 March 2012),


[Excerpt: Introduction] Fires are an integral component of ecosystem dynamics in European landscapes. However, uncontrolled fires cause large environmental and economic damages, especially in the Mediterranean region. On average, about 65000 fires occur in Europe every year, burning approximately half a million ha of wildland and forest areas; most of the burnt area, over 85%, is in the European Mediterranean region. Trends in number of fires and burnt areas in the Mediterranean region are presented in Fig. 1. [\n] Recent analyses of ...


Towards a pan-European burnt scar mapping methodology based on single date medium resolution optical remote sensing data

International Journal of Applied Earth Observation and Geoinformation, Vol. 20 (February 2013), pp. 52-59,


A two stage approach for burnt scar detection from single date multispectral medium spatial resolution optical remote sensing data (AWIFS) has been developed. The approach includes first an identification of burnt scar seeds based on a learning algorithm followed by a region growing process. An Artificial Neural Network (ANN) and a Classification tree (CT) were tested as learning algorithms. Both learning algorithms were coupled with a bootstrap aggregation. Training data for the classifiers were obtained from MODIS-based polygons generated by the ...


Increasing spatial detail of burned scar maps using IRS-AWiFS data for Mediterranean Europe

Remote Sensing, Vol. 4, No. 3. (15 March 2012), pp. 726-744,


A two stage burned scar detection approach is applied to produce a burned scar map for Mediterranean Europe using IRS-AWiFS imagery acquired at the end of the 2009 fire season. The first stage identified burned scar seeds based on a learning algorithm (Artificial Neural Network) coupled with a bootstrap aggregation process. The second stage implemented a region growing process to extend the area of the burned scars. Several ancillary datasets were used for the accuracy assessment and a final visual check ...


Data fusion of different spatial resolution remote sensing images applied to forest-type mapping

Geoscience and Remote Sensing, IEEE Transactions on, Vol. 49, No. 12. (December 2011), pp. 4977-4986,


A data fusion method for land cover (LC) classification is proposed that combines remote sensing data at a fine and a coarse spatial resolution. It is a two-step approach, based on the assumption that some of the LC classes can be merged into a more generalized LC class. Step one creates a generalized LC map, using only the information available at the fine spatial resolution. In the second step, a new classifier refines the generalized LC classes to create distinct subclasses ...

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