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Suliga, J.; Bhattacharjee, J.; Chormański, J.; van Griensven, A.; Verbeiren, B. Automatic Proba-V Processor: TREX—Tool for Raster Data Exploration. Remote Sens. 2019, 11, 2538

Automatic Proba-V processor : TREX-tool for raster data exploration

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Author: Suliga, Joanna1; Bhattacharjee, Joy2; Chormański, Jarosław3;
Organizations: 1Department of Hydrology and Hydraulic Engineering (HYDR), Vrije Universiteit Brussels, Pleinlaan 2, 1050 Brussel, Belgium
2Water, Energy and Environmental Engineering Research Unit, Faculty of Technology, University of Oulu, Pentti Kaiteran katu 1, 90014 Oulu, Finland
3Department of Hydraulic Engineering, Warsaw University of Life Sciences, Nowoursynowska 166, 02-787 Warsaw, Poland
4Institute of Water Education, IHE-Delft, Westvest 7, 2611 AX Delft, The Netherlands
Format: article
Version: published version
Access: open
Online Access: PDF Full Text (PDF, 3.5 MB)
Persistent link: http://urn.fi/urn:nbn:fi-fe2019120545752
Language: English
Published: Multidisciplinary Digital Publishing Institute, 2019
Publish Date: 2019-12-05
Description:

Abstract

The processing tool TREX, standing for ‘Tool for Raster data EXploration‘ is presented and evaluated in the Biebrza wetlands in northeastern Poland. TREX was designed for the automatization of processing satellite data from the Proba-V satellite into maps of NDVI or LAI in any defined by the user projection, spatial resolution, or extent. The open source and access concept of TREX encourages the potential community of users to collaborate, develop, and integrate the tool with other satellite imagery and models. TREX reprojects, shifts, and resamples original data obtained from the Proba-V satellite to deliver reliable maps of NDVI and LAI. Validation of TREX in Biebrza wetlands resulted in correlations between 0.79 and 0.92 for NDVI data (measured with ASD Field Spec 4) and 0.92 for LAI data (measured with LiCOR—LAI-2000 Plant Canopy Analyzer).

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Series: Remote sensing
ISSN: 2072-4292
ISSN-E: 2072-4292
ISSN-L: 2072-4292
Volume: 11
Issue: 21
Article number: 2538
DOI: 10.3390/rs11212538
OADOI: https://oadoi.org/10.3390/rs11212538
Type of Publication: A1 Journal article – refereed
Field of Science: 218 Environmental engineering
Subjects:
LAI
NDVI
Proba-V
free processing tool
open source
timeseries
Article
Funding: This research was funded by the Belgian Federal Science Policy Office (BELSPO) within the HiWET (STEREO III Programme—SR/00/301) and WETMAN (STEREO III Programme—SR/03/369) projects.
Copyright information: © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
  https://creativecommons.org/licenses/by/4.0/