Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

A Simple Band-ratio Algorithm to Assess Suspended Particulate Matter from Remote Sensing Over Coastal and Inland Waters of Vietnam: Application to the VNREDSat-1/NAOMI Sensor

Version 1 : Received: 8 September 2020 / Approved: 9 September 2020 / Online: 9 September 2020 (13:49:49 CEST)

A peer-reviewed article of this Preprint also exists.

Ngoc, D.D.; Loisel, H.; Vantrepotte, V.; Chu Xuan, H.; Nguyen Minh, N.; Verpoorter, C.; Meriaux, X.; Pham Thi Minh, H.; Le Thi, H.; Le Vu Hong, H.; Nguyen Van, T. A Simple Empirical Band-Ratio Algorithm to Assess Suspended Particulate Matter from Remote Sensing over Coastal and Inland Waters of Vietnam: Application to the VNREDSat-1/NAOMI Sensor. Water 2020, 12, 2636. Ngoc, D.D.; Loisel, H.; Vantrepotte, V.; Chu Xuan, H.; Nguyen Minh, N.; Verpoorter, C.; Meriaux, X.; Pham Thi Minh, H.; Le Thi, H.; Le Vu Hong, H.; Nguyen Van, T. A Simple Empirical Band-Ratio Algorithm to Assess Suspended Particulate Matter from Remote Sensing over Coastal and Inland Waters of Vietnam: Application to the VNREDSat-1/NAOMI Sensor. Water 2020, 12, 2636.

Journal reference: Water 2020, 12, 2636
DOI: 10.3390/w12092636

Abstract

VNREDSat-1 is the first Vietnamese satellite allowing the survey of environmental parameters such as vegetation and water coverages, or surface water quality at medium spatial resolution (from 2.5 to 10 meters depending on the considered channel). The NAOMI sensor on board VNREDSat-1 has the required spectral bands to assess the suspended particulate matter concentration, SPM. Because recent studies have shown that the remote sensing reflectance, Rrs(), at the blue (450 – 520 nm), green (530 – 600 nm), and red (620 – 690 nm) spectral bands can be assessed from NAOMI with a good accuracy, the present study is dedicated to the development and validation of an algorithm (hereafter referred to as V1SPM) to assess SPM from Rrs() over inland and coastal waters of Vietnam. For that purpose, an in situ data set of hyper-spectral Rrs() and SPM (from 0.47 to 240.14 g.m-3) measurements collected at 205 coastal and inland stations has been gathered. Among the different approaches, including 4 historical algorithms, the polynomial algorithms involving the red-to-green reflectance ratio presents the best performance on the validation data set (MAPD of 18,7%). Compared to the use of a single spectral band, the band ratio allows to reduce the scatter around the polynomial fit as well as the impact of imperfect atmospheric corrections. Due to the lack of matchup data points with VNREDSat-1, the full VNREDSat-1 processing chain (RED-NIR and V1SPM) aiming at estimate SPM from the top-of-atmosphere signal has been applied to the Landsat-8/OLI match-up data points with relatively low to moderate SPM concentration (3.33-15.25 g.m-3) showing a MAPD of 15,8%. An illustration of the use of this VNREDSat-1 processing chain during a flooding event occurring in Vietnam is provided.

Subject Areas

VNREDSat-1/NAOMI; Landsat-8/OLI; Suspended particulate matter; algorithm

Comments (0)

We encourage comments and feedback from a broad range of readers. See criteria for comments and our diversity statement.

Leave a public comment
Send a private comment to the author(s)
Views 0
Downloads 0
Comments 0
Metrics 0


×
Alerts
Notify me about updates to this article or when a peer-reviewed version is published.
We use cookies on our website to ensure you get the best experience.
Read more about our cookies here.