FN Archimer Export Format
PT J
TI 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
BT 
AF Dinh Ngoc, Dat
   Loisel, Hubert
   Vantrepotte, Vincent
   Chu Xuan, Huy
   Nguyen Minh, Ngoc
   Verpoorter, Charles
   Meriaux, Xavier
   Thi Minh, Hanh Pham
   Le Thi, Huong
   Le Vu Hong, Hai
   Nguyen Van, Thao
AS 1:1,2,3;2:1,2,3;3:1,2;4:1;5:1;6:2;7:2;8:4;9:4;10:6;11:5;
FF 1:;2:;3:;4:;5:;6:;7:;8:;9:;10:;11:;
C1 Space Technology Institute, Vietnam Academy of Science and Technology, 18 Hoang Quoc Viet, Cau Giay, Hanoi, Vietnam
   Univ. Littoral Côte d’Opale, Univ. Lille, CNRS, UMR 8187, LOG, Laboratoire d’Océanologie et de Géosciences, F 59000 Lille, France
   LOTUS, University of Science and Technology of Hanoi, Vietnam Academy of Science and Technology, 18 Hoang Quoc Viet, Cau Giay, Hanoi, Vietnam
   Institute of Mechanics, Viet Nam Academy of Science and Technology, 264 Doi Can, Ba Dinh, Hanoi, Vietnam
   Institute of Marine Environment and Resources, Vietnam Academy of Science and Technology, 246 Da Nang, Ngo Quyen, Haiphong, Vietnam
   Institute of Techniques for Special Engineering, Le Quy Don University, 236 Hoang Quoc Viet, Bac Tu Liem, Hanoi, Vietnam
C2 VAST, VIETNAM
   UNIV LITTORAL COTE D'OPALE, FRANCE
   VAST, VIETNAM
   VAST, VIETNAM
   VAST, VIETNAM
   UNIV LE QUY DON, VIETNAM
IN DOAJ
IF 0.97
TC 0
UR https://archimer.ifremer.fr/doc/00648/76043/76979.pdf
   https://archimer.ifremer.fr/doc/00648/76043/77318.pdf
LA English
DT Article
CR VITEL-NORTH
   VITEL-SOUTH
BO Alis
DE ;VNREDSat-1/NAOMI;Landsat-8/OLI;Suspended particulate matter;algorithm
AB VNREDSat-1 is the first Vietnamese satellite enabling 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(ƒÜ), at the blue (450 ¡V 520 nm), green (530 ¡V 600 nm), and red (620 ¡V 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(ƒÜ) over inland and coastal waters of Vietnam. For that purpose, an in situ data set of hyper-spectral Rrs(ƒÜ) 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 reduces 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 estimating SPM from the top-of-atmosphere signal was applied to the Landsat-8/OLI match-up data points with relatively low to moderate SPM concentration (3.33-15.25 g.m-3) yielding 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. 
PY 2020
SO Water
SN 2073-4441
PU MDPI AG
VL 12
IS 9
DI 10.20944/preprints202009.0212.v1
ID 76043
ER

EF