%0 Journal Article
%9 ACL : Articles dans des revues avec comité de lecture répertoriées par l'AERES
%A Chelotti, G. B.
%A Martinez, Jean-Michel
%A Roig, H. L.
%A Olivietti, D.
%T Space-Temporal analysis of suspended sediment in low concentration reservoir by remote sensing = Analise espaço-temporal dos sedimentos em suspensao em reservatorio de baixa concentraçao por meio de sensoriamento remoto
%D 2019
%L fdi:010075721
%G ENG
%J Revista Brasileira de Recursos Hidricos
%@ 1414-381X
%K Water quality ; Hydrological and environmental modeling ; Remote Sensing ; MODIS ; Landsat 8
%M ISI:000467881900005
%P e17 [15 ]
%R 10.1590/2318-0331.241920180061
%U https://www.documentation.ird.fr/hor/fdi:010075721
%> https://horizon.documentation.ird.fr/exl-doc/pleins_textes/divers19-06/010075721.pdf
%V 24
%W Horizon (IRD)
%X The study of small reservoirs with low suspended sediment concentration (CSS) is still a challenge for remote sensing. In this work we estimate CSS from the optical properties of water and orbital imagery. Campaigns were carried out at selected dates according to the calendar of sensor passages, rainfall seasonality and hydrograph of the reservoir for the collection of surface water samples and field spectroradiometry. The calibration between CSS and spectral behavior generated CSS estimation models from MODIS and Landsat 8 data, allowing investigation of their temporal and spatial behavior. The MODIS model generated a time series of CSS from 2000 to 2017, presenting R-2 = 0.8105 and RMSE% = 39.91%. The Landsat 8 model allowed the spatial analysis of CSS, with R-2 = 0.8352 and RMSE% = 15.12%. The combination of the proposed models allowed the temporal and spatial analysis of the CSS and its relationships with the rainfall regime and the quota variation of the Descoberto reservoir (DF). The results showed that the use of orbital data complements the CSS information obtained by the traditional methods of collecting and analyzing water quality in low CSS reservoirs.
%$ 062 ; 126