TY - JOUR
T1 - Quantifying suspended solids in small rivers using satellite data
AU - Isidro, Celso M.
AU - McIntyre, Neil
AU - Lechner, Alex M.
AU - Callow, Ian
N1 - Funding Information:
This research was undertaken partly through the funding provided by the Australia Awards Scholarship (2015–2017), Sustainable Minerals Institute Support Grant (2016–2017) and the Australian Research Council under the Future Fellowship program (Project ID: FT140100977 ). In addition, the authors would like to acknowledge OceanaGold (Philippines) Incorporated Environmental Team, the International River Foundation (IRF) and the Mines and Geosciences Bureau (MGB), Region II for the permission to access their database of water quality; the Airbus Defence and Space for the acquisition of Pleiades-1A satellite images in March 2013 and 2014 and SPOT-6 in January 2016, and Planet Constellation for the provision of RapidEye images.
Publisher Copyright:
© 2018 Elsevier B.V.
Copyright:
Copyright 2018 Elsevier B.V., All rights reserved.
PY - 2018/9/1
Y1 - 2018/9/1
N2 - The management of suspended solids and associated contaminants in rivers requires knowledge of sediment sources. In-situ sampling can only describe the integrated impact of the upstream sources. Empirical models that use surface reflectance from satellite images to estimate total suspended solid (TSS) concentrations can be used to supplement measurements and provide spatially continuous maps. However, there are few examples, especially in narrow, shallow and hydrologically dynamic rivers found in mountainous areas. A case study of the Didipio catchment in Philippines was used to address these issues. Four 5-m resolution RapidEye images, from between the years 2014 and 2016, and near-simultaneous ground measurements of TSS concentrations were used to develop a power law model that approximates the relationship between TSS and reflectance for each of four spectral bands. A second dataset using two 2-m resolution Pleiades-1A and a third using a 6-m resolution SPOT-6 image along with ground-based measurements, were consistent with the model when using the red band data. Using that model, encompassing data from all three datasets, gave an R2 value of 65% and a root mean square error of 519 mg L−1. A linear relationship between reflectance and TSS exists from 1 mg L−1 to approximately 500 mg L−1. In contrast, for TSS measurements between 500 mg L−1 and 3580 mg L−1 reflectance increases at a generally lower and more variable rate. The results were not sensitive to changing the pixel location within the vicinity of the ground sampling location. The model was used to generate a continuous map of TSS concentration within the catchment. Further ground-based measurements including TSS concentrations that are higher than 3580 mg L−1 would allow the model to be developed and applied more confidently over the full relevant range of TSS.
AB - The management of suspended solids and associated contaminants in rivers requires knowledge of sediment sources. In-situ sampling can only describe the integrated impact of the upstream sources. Empirical models that use surface reflectance from satellite images to estimate total suspended solid (TSS) concentrations can be used to supplement measurements and provide spatially continuous maps. However, there are few examples, especially in narrow, shallow and hydrologically dynamic rivers found in mountainous areas. A case study of the Didipio catchment in Philippines was used to address these issues. Four 5-m resolution RapidEye images, from between the years 2014 and 2016, and near-simultaneous ground measurements of TSS concentrations were used to develop a power law model that approximates the relationship between TSS and reflectance for each of four spectral bands. A second dataset using two 2-m resolution Pleiades-1A and a third using a 6-m resolution SPOT-6 image along with ground-based measurements, were consistent with the model when using the red band data. Using that model, encompassing data from all three datasets, gave an R2 value of 65% and a root mean square error of 519 mg L−1. A linear relationship between reflectance and TSS exists from 1 mg L−1 to approximately 500 mg L−1. In contrast, for TSS measurements between 500 mg L−1 and 3580 mg L−1 reflectance increases at a generally lower and more variable rate. The results were not sensitive to changing the pixel location within the vicinity of the ground sampling location. The model was used to generate a continuous map of TSS concentration within the catchment. Further ground-based measurements including TSS concentrations that are higher than 3580 mg L−1 would allow the model to be developed and applied more confidently over the full relevant range of TSS.
KW - Empirical modelling
KW - Philippines
KW - Small-scale mining
KW - Surface reflectance
KW - Total suspended solids
KW - Turbidity
UR - http://www.scopus.com/inward/record.url?scp=85045384008&partnerID=8YFLogxK
U2 - 10.1016/j.scitotenv.2018.04.006
DO - 10.1016/j.scitotenv.2018.04.006
M3 - Article
C2 - 29710653
AN - SCOPUS:85045384008
SN - 0048-9697
VL - 634
SP - 1554
EP - 1562
JO - Science of the Total Environment
JF - Science of the Total Environment
ER -