Next Article in Journal
A Review of Ten-Year Advances of Multi-Baseline SAR Interferometry Using TerraSAR-X Data
Previous Article in Journal
Benefits of the Successive GPM Based Satellite Precipitation Estimates IMERG–V03, –V04, –V05 and GSMaP–V06, –V07 Over Diverse Geomorphic and Meteorological Regions of Pakistan
Article Menu
Issue 9 (September) cover image

Export Article

Open AccessArticle
Remote Sens. 2018, 10(9), 1375; https://doi.org/10.3390/rs10091375

Evaluation of PROBA-V Collection 1: Refined Radiometry, Geometry, and Cloud Screening

1
Flemish Institute for Technological Research (VITO), Remote Sensing Unit, Boeretang 200, B-3200 Mol, Belgium
2
Brockmann Consult, Max-Planck-Strasse 2, D-21502 Geesthacht, Germany
3
European Space Agency-European Space Research Institute (ESA-ESRIN), Via Galileo Galilei, 00044 Frascati, Italy
*
Author to whom correspondence should be addressed.
Received: 22 August 2018 / Revised: 27 August 2018 / Accepted: 27 August 2018 / Published: 30 August 2018
(This article belongs to the Section Remote Sensing Image Processing)
Full-Text   |   PDF [6884 KB, uploaded 30 August 2018]   |  

Abstract

PROBA-V (PRoject for On-Board Autonomy–Vegetation) was launched in May-2013 as an operational continuation to the vegetation (VGT) instruments on-board the Système Pour l’Observation de la Terre (SPOT)-4 and -5 satellites. The first reprocessing campaign of the PROBA-V archive from Collection 0 (C0) to Collection 1 (C1) aims at harmonizing the time series, thanks to improved radiometric and geometric calibration and cloud detection. The evaluation of PROBA-V C1 focuses on (i) qualitative and quantitative assessment of the new cloud detection scheme; (ii) quantification of the effect of the reprocessing by comparing C1 to C0; and (iii) evaluation of the spatio-temporal stability of the combined SPOT/VGT and PROBA-V archive through comparison to METOP/advanced very high resolution radiometer (AVHRR). The PROBA-V C1 cloud detection algorithm yields an overall accuracy of 89.0%. Clouds are detected with very few omission errors, but there is an overdetection of clouds over bright surfaces. Stepwise updates to the visible and near infrared (VNIR) absolute calibration in C0 and the application of degradation models to the SWIR calibration in C1 result in sudden changes between C0 and C1 Blue, Red, and NIR TOC reflectance in the first year, and more gradual differences for short-wave infrared (SWIR). Other changes result in some bias between C0 and C1, although the root mean squared difference (RMSD) remains well below 1% for top-of-canopy (TOC) reflectance and below 0.02 for the normalized difference vegetation index (NDVI). Comparison to METOP/AVHRR shows that the recent reprocessing campaigns on SPOT/VGT and PROBA-V have resulted in a more stable combined time series. View Full-Text
Keywords: PROBA-V; reprocessing; data quality; calibration; cloud detection; temporal consistency; surface reflectance; NDVI PROBA-V; reprocessing; data quality; calibration; cloud detection; temporal consistency; surface reflectance; NDVI
Figures

Graphical abstract

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
SciFeed

Share & Cite This Article

MDPI and ACS Style

Toté, C.; Swinnen, E.; Sterckx, S.; Adriaensen, S.; Benhadj, I.; Iordache, M.-D.; Bertels, L.; Kirches, G.; Stelzer, K.; Dierckx, W.; Van den Heuvel, L.; Clarijs, D.; Niro, F. Evaluation of PROBA-V Collection 1: Refined Radiometry, Geometry, and Cloud Screening. Remote Sens. 2018, 10, 1375.

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.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Remote Sens. EISSN 2072-4292 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top