From MFKP_wiki

Jump to: navigation, search

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  

Abstract

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, https://doi.org/10.1109/jstars.2012.2236079

Abstract

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 ...

 

pktools

  
(2015)

Abstract

[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, http://www.gdal.org) 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, https://doi.org/10.1109/lgrs.2013.2260129

Abstract

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

  

Abstract

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

Abstract

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), https://doi.org/10.5772/28441

Abstract

[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, https://doi.org/10.1016/j.jag.2011.08.003

Abstract

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, https://doi.org/10.3390/rs4030726

Abstract

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, https://doi.org/10.1109/tgrs.2011.2158548

Abstract

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 ...

This page of the database may be cited as:
Integrated Natural Resources Modelling and Management - Meta-information Database. http://mfkp.org/INRMM/author/Kempeneers:P

Publication metadata

Bibtex, RIS, RSS/XML feed, Json, Dublin Core

Meta-information Database (INRMM-MiD).
This database integrates a dedicated meta-information database in CiteULike (the CiteULike INRMM Group) with the meta-information available in Google Scholar, CrossRef and DataCite. The Altmetric database with Article-Level Metrics is also harvested. Part of the provided semantic content (machine-readable) is made even human-readable thanks to the DCMI Dublin Core viewer. Digital preservation of the meta-information indexed within the INRMM-MiD publication records is implemented thanks to the Internet Archive.
The library of INRMM related pubblications may be quickly accessed with the following links.
Search within the whole INRMM meta-information database:
Search only within the INRMM-MiD publication records:
Full-text and abstracts of the publications indexed by the INRMM meta-information database are copyrighted by the respective publishers/authors. They are subject to all applicable copyright protection. The conditions of use of each indexed publication is defined by its copyright owner. Please, be aware that the indexed meta-information entirely relies on voluntary work and constitutes a quite incomplete and not homogeneous work-in-progress.
INRMM-MiD was experimentally established by the Maieutike Research Initiative in 2008 and then improved with the help of several volunteers (with a major technical upgrade in 2011). This new integrated interface is operational since 2014.