Next Article in Journal
Comparison of Different Classifiers and the Majority Voting Rule for the Detection of Plum Fruits in Garden Conditions
Previous Article in Journal
3D GPR Image-based UcNet for Enhancing Underground Cavity Detectability
Open AccessArticle

Automatic Proba-V Processor: TREX—Tool for Raster Data Exploration

1
Department of Hydrology and Hydraulic Engineering (HYDR), Vrije Universiteit Brussels, Pleinlaan 2, 1050 Brussel, Belgium
2
Water, Energy and Environmental Engineering Research Unit, Faculty of Technology, University of Oulu, Pentti Kaiteran katu 1, 90014 Oulu, Finland
3
Department of Hydraulic Engineering, Warsaw University of Life Sciences, Nowoursynowska 166, 02-787 Warsaw, Poland
4
Institute of Water Education, IHE-Delft, Westvest 7, 2611 AX Delft, The Netherlands
*
Author to whom correspondence should be addressed.
Remote Sens. 2019, 11(21), 2538; https://doi.org/10.3390/rs11212538
Received: 13 September 2019 / Revised: 19 October 2019 / Accepted: 25 October 2019 / Published: 30 October 2019
(This article belongs to the Section Environmental Remote Sensing)
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). View Full-Text
Keywords: open source; free processing tool; NDVI; LAI; timeseries; Proba-V open source; free processing tool; NDVI; LAI; timeseries; Proba-V
Show Figures

Figure 1

MDPI and ACS Style

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.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop