FN Archimer Export Format
PT J
TI Turbidity retrieval and monitoring of Danube Delta waters using multi-sensor optical remote sensing data: An integrated view from the delta plain lakes to the western-northwestern Black Sea coastal zone
BT 
AF GUTTLER, Fabio
   NICULESCU, Simona
   GOHIN, Francis
AS 1:1;2:1;3:2;
FF 1:;2:;3:PDG-ODE-DYNECO-PELAGOS;
C1 European Inst Marine Studies, CNRS, UMR 6554, LETG Brest,Geomer, F-29280 Plouzane, Brittany, France.
   Ctr Ifremer Brest, IFREMER DYNECO PELAGOS, F-29280 Plouzane, Brittany, France.
C2 UBO, FRANCE
   IFREMER, FRANCE
SI BREST
SE PDG-ODE-DYNECO-PELAGOS
IN WOS Ifremer jusqu'en 2018
   copubli-france
   copubli-univ-france
IF 4.769
TC 55
UR https://archimer.ifremer.fr/doc/00135/24622/23607.pdf
LA English
DT Article
DE ;Turbidity;Satellite remote sensing;Danube Delta;Delta plain lakes;Western-northwestern Black Sea;Danube River plume;Phytoplankton;Macrophytes
AB Based on multi-sensor optical remote sensing techniques, more than 80 medium and high spatial resolution satellite images were used for studying the turbidity patterns of Danube Delta waters. During a selected 4-year temporal coverage (2006 to 2009), the turbidity gradients were simultaneously analyzed in the delta plain lakes and in the Black Sea western-northwestern coastal zone. Two distinct, but complementary, methodologies for retrieving turbidity were employed, one for the lakes and the other for the coastal zone. After comparing the turbidity satellite-derived turbidity products with in-situ measurements, the inter-comparability of the products was independently verified. Then, through an integrative analysis, the initial hypothesis of turbidity control by the Danube River inputs was tested in both areas (Delta plain and coastal zone). Seasonal turbidity patterns were identified together with the mechanisms responsible for its important temporal and spatial variability. Reciprocal contributions derived from the association of multi-scale satellite products were highlighted. (C) 2013 Elsevier Inc. All rights reserved.
PY 2013
PD MAY
SO Remote Sensing Of Environment
SN 0034-4257
PU Elsevier Science Inc
VL 132
UT 000316831400008
BP 86
EP 101
DI 10.1016/j.rse.2013.01.009
ID 24622
ER

EF