Spectral remote sensing reflectances of coastal waters in French Guiana under the Amazon influence

Froidefond, Jean-Marie; Gardel, Laure; Guiral, Daniel; Parra, M.; Ternon, Jean-François

doi:10.1016/s0034-4257(01)00301-7

Cited by 65 publications

(41 citation statements)

References 26 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The blue band (B1) has a slightly higher reflectance due to the Rayleigh scattering of the water molecules. 15 Similar spectral curves characterizing these water types in coastal areas were also found by Froidefond et al 39 and Lihan et al 17 All classes had high degrees of separability in the ML classification, following the JeffriesMatsushita distance, with values from 1.96 to 2.0 (maximum). The classes that were least separated were offshore waters and other inner shelf waters, followed by other inner shelf waters and plume and inner shelf waters.…”

Section: Spectral Mapping and Classificationssupporting

confidence: 67%

Spectral mapping of the Paraíba do Sul River plume (Brazil) using multitemporal Landsat images

Rudorff

Kampel

Rezende

2011

J. Appl. Remote Sens

View full text Add to dashboard Cite

Abstract. Coastal zones are influenced by oceanic, atmospheric, and continental forces, which make them highly vulnerable to climate and anthropogenic changes. The Paraíba do Sul River (PSR) Estuary (Brazil), is especially affected by intensive industrial, urban, and rural activities, along its catchment area. Few works, though, have been done concerning the impacts of these changes. Remote sensing is, thus, an important and unique tool to assess the past scenes for a temporal analysis. The present work aimed to analyze spatial-temporal trends of the PSR plume from 1985 to 2009, using Landsat 5 TM images. Two spectral classification methods were used to map the river plume: maximum likelihood and spectral linear mixture analysis (SLMA). The images corresponded to the months of greatest river discharge, totalizing 11 cloud-free images. Geographical, radiometric, and atmospheric corrections were applied to the five spectral bands used for the classification. Both methods showed good results, however the SLMA provided more information of the water constituent's distribution. The sediment river plume and inner shelf phytoplankton dominated waters showed a negative trend associated with a diminishing of the river discharge. Further works concern in situ validation of the classifications, biooptical modeling, and more investigations of climate and anthropogenic changes on the PSR.C 2011 Society of Photo-Optical Instrumentation Engineers (SPIE).

show abstract

Section: Spectral Mapping and Classificationssupporting

confidence: 67%

Spectral mapping of the Paraíba do Sul River plume (Brazil) using multitemporal Landsat images

Rudorff

Kampel

Rezende

2011

J. Appl. Remote Sens

View full text Add to dashboard Cite

show abstract

“…Hyperspectral reflectance has been widely used to assess water quality conditions of many open water aquatic ecosystems. This includes classifying the trophic status of lakes (Koponen et al, 2002;Thiemann and Kaufmann, 2002) and estuaries (Froidefond et al, 2002) characterising algal blooms (Stumpf, 2001) and assessment of ammonia dynamics for wetland treatments (Tilley et al, 2003). Predictors of total ammonia concentrations using remotely sensed hyperspectral signatures of macrophytes in order to monitor changes in wetland water quality were developed by Tilley et al (2003).…”

Section: Applications Of Hyperspectral Remote Sensing In Water Resourcesmentioning

confidence: 99%

A review of hyperspectral remote sensing and its application in vegetation and water resource studies

Govender¹,

Chetty²,

Bulcock³

2009

WSA

303

222

View full text Add to dashboard Cite

Multispectral imagery has been used as the data source for water and land observational remote sensing from airborne and satellite systems since the early 1960s. Over the past two decades, advances in sensor technology have made it possible for the collection of several hundred spectral bands. This is commonly referred to as hyperspectral imagery. This review details the differences between multispectral and hyperspectral data; spatial and spectral resolutions and focuses on the application of hyperspectral imagery in water resource studies and, in particular the classification and mapping of land uses and vegetation.

show abstract

“…Ropert-Coudert et al 2001). In the case of leatherback turtles in French Guiana, the nesting season coincides with the peak of the Amazonian influence, resulting in rings of Amazonian waters crossing the continental shelf (Froidefond et al 2002) and enhancing biological productivity. This includes the production of gelatinous plankton, whose relatively large individual size and quantity may make a potentially significant contribution to the marine food web over the continental shelf (Fromard et al 2004), particularly for leatherbacks, which predominantly feed on jellyfish (James & Herman 2001).…”

Section: Combined Analysismentioning

confidence: 99%

Dispersal and dive patterns in gravid leatherback turtles during the nesting season in French Guiana

Fossette¹,

Ferraroli²,

Tanaka³

et al. 2007

Mar. Ecol. Prog. Ser.

View full text Add to dashboard Cite

We present the first combined analysis of diving behaviour and dispersal data collected from gravid leatherback turtles during 3 consecutive nesting seasons in French Guiana. In total, 23 turtles were fitted with Argos satellite transmitters and 16 individuals (including 6 that were concurrently satellite-tracked) were equipped with an electronic time-depth recorder for single internesting intervals, i.e. between 2 consecutive ovi-positions. The leatherbacks dispersed over the continental shelf -from the coastal zone to the shelf break -and moved over 546.2 ± 154.1 km (mean ± SD) in waters of French Guiana and neighbouring Suriname. They mostly performed shallow (9.4 ± 9.2 m) and short (4.4 ± 3.4 min) dives with a slight diurnal pattern. They dived deeper as they moved away from the coast, suggesting that they were predominantly following the seabed. Inter-nesting intervals could be divided into 2 phases: the first comprised 75% of the time turtles spent at sea, during which they dived on average 47 min h -1 , while the second was characterised by lower and more variable diving effort as the turtles returned to shore. The extended movements of leatherbacks and the fine analysis of dive shapes suggest that, in French Guiana, leatherbacks may feed during the inter-nesting interval, probably to compensate for the energy costs associated with reproduction. Consequently, this critically endangered species is exposed to a high risk of interaction with local fisheries over the continental shelf.

show abstract

Spectral remote sensing reflectances of coastal waters in French Guiana under the Amazon influence

Cited by 65 publications

References 26 publications

Spectral mapping of the Paraíba do Sul River plume (Brazil) using multitemporal Landsat images

Spectral mapping of the Paraíba do Sul River plume (Brazil) using multitemporal Landsat images

A review of hyperspectral remote sensing and its application in vegetation and water resource studies

Dispersal and dive patterns in gravid leatherback turtles during the nesting season in French Guiana

Contact Info

Product

Resources

About