Remote sensing and big data: Google Earth Engine data to assist calibration processes in hydro-sediment modelling on large scales
Publication type: Journal Article
Publication date: 2024-11-01
scimago Q1
wos Q2
SJR: 0.993
CiteScore: 7.9
Impact factor: 4.5
ISSN: 23529385
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Rossoni R. B. et al. Remote sensing and big data: Google Earth Engine data to assist calibration processes in hydro-sediment modelling on large scales // Remote Sensing Applications: Society and Environment. 2024. Vol. 36. p. 101352.
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Rossoni R. B., Laipelt L., De Paiva R. C. D., Paiva R. C. D. D., Paiva R. C. D., Fan F. M. Remote sensing and big data: Google Earth Engine data to assist calibration processes in hydro-sediment modelling on large scales // Remote Sensing Applications: Society and Environment. 2024. Vol. 36. p. 101352.
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TY - JOUR
DO - 10.1016/j.rsase.2024.101352
UR - https://linkinghub.elsevier.com/retrieve/pii/S2352938524002167
TI - Remote sensing and big data: Google Earth Engine data to assist calibration processes in hydro-sediment modelling on large scales
T2 - Remote Sensing Applications: Society and Environment
AU - Rossoni, Renata Barão
AU - Laipelt, Leonardo
AU - De Paiva, Rodrigo Cauduro Dias
AU - Paiva, Rodrigo Cauduro Dias De
AU - Paiva, R. C. D.
AU - Fan, Fernando Mainardi
PY - 2024
DA - 2024/11/01
PB - Elsevier
SP - 101352
VL - 36
SN - 2352-9385
ER -
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@article{2024_Rossoni,
author = {Renata Barão Rossoni and Leonardo Laipelt and Rodrigo Cauduro Dias De Paiva and Rodrigo Cauduro Dias De Paiva and R. C. D. Paiva and Fernando Mainardi Fan},
title = {Remote sensing and big data: Google Earth Engine data to assist calibration processes in hydro-sediment modelling on large scales},
journal = {Remote Sensing Applications: Society and Environment},
year = {2024},
volume = {36},
publisher = {Elsevier},
month = {nov},
url = {https://linkinghub.elsevier.com/retrieve/pii/S2352938524002167},
pages = {101352},
doi = {10.1016/j.rsase.2024.101352}
}