• español
    • English
  • Login
  • English 
    • español
    • English

UniversidaddeCádiz

Área de Biblioteca, Archivo y Publicaciones
Communities and Collections
View Item 
  •   RODIN Home
  • Trabajos Académicos
  • Trabajos Fin de Máster
  • Máster Universitario en Oceanografía - TFM
  • View Item
  •   RODIN Home
  • Trabajos Académicos
  • Trabajos Fin de Máster
  • Máster Universitario en Oceanografía - TFM
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

Monitorización de floraciones de macroalgas verdes en la Bahía de Cádiz mediante técnicas ópticas

Thumbnail
Identificadores

URI: http://hdl.handle.net/10498/14123

Files
Camarena-Gomez_Msc_Thesis_2010.pdf (2.315Mb)
Statistics
View statistics
Share
Export
Export reference to MendeleyRefworksEndNoteBibTexRIS
Metadata
Show full item record
Alternative title
Monitoring of green algal blooms in the Bay of Cádiz using optical techniques
Author/s
Camerena-Gomez, Maria Teresa
Date
2011-07-14
Advisor
Morris, Edward P.; Corzo, Alfonso
Department
Biología
Abstract
Optical monitoring techniques are defined (Absorbance, Reflectance in situ, hand glider photographs, remote sensing) of green macroalgae blooms (Ulva spp.) They are present on intertidal inner Bay of Cadiz. Macroalgae show different optical properties such Absorbance and Reflectance. Those properties have defined and classified their spectral signature to differentiate them from other organisms on intertidal areas. Laboratory experiments and field work (in situ reflectance) have been decisive to establish the relationship between the number of layers of algae and NDVI (R2adj = 0.86, P <0.001), the biomass and NDVI (R2adj = 0.69, P <0.001) and the vegetation coverage and NDVI (R2adj = 0.61, P <0.01). Results were also obtained from vegetation coverage and NDVI for three treatments using three different sediment types (sand, mud, sandy mud) R2adj = 0.93, P <0.001 for sand; R2adj = 0.96, P <0.001 for mud; R2adj = 0.94, P <0.001 for sandy mud. Thus was obtained an equation type (vegetation coverage = a + b*NDVI) to estimate the vegetation coverage of macroalgae in a satellite image. Hand glider photographs for January 2009 defined vegetation coverage (1.55 km2) that represent 12% of intertidal (~13 km2) and 5% of inner Bay (~30 km2) Using in situ values of biomass and tissue content of C and N (%) we have been able to obtain the first approximation of total biomass (166.40 Tn), tissue content of carbon (31.18 Tn) and nitrogen (3.68 Tn) and the distribution of macroalgae to the bloom maximum development. Average values for winter and summer have been obtained by satellite image. Values of δ15N (11.5) of macroalgae have indicated that can be N anthropogenic source. Optical methods have been effective for monitoring the level bloom around the bay. Although they have limitations such as the tide or the clouds in the case of satellite images and aerial photographs cannot calculate NDVI. They have been used to obtain the first approximation of blooms state on Bay of Cadiz. Methods can be used without sampling site; however, it would be better to ensure the results doing a calibration.
Subjects
Reflectance; Remote sensing; Landsat; NDVI; Coastal; Macroalgae; Reflectancia; Teledetección; Macroalgas; RNM-214
Collections
  • Máster Universitario en Oceanografía - TFM [10]
  • Trabajos Académicos CeiMar [26]
  • Trabajos fin de master Biología [21]
  • Trabajos fin de máster INMAR [13]
Attribution-NonCommercial-NoDerivs 3.0 Unported
This work is under a Creative Commons License Attribution-NonCommercial-NoDerivs 3.0 Unported

Browse

All of RODINCommunities and CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

My Account

LoginRegister

Statistics

View Usage Statistics

Información adicional

AboutDeposit in RODINPoliciesGuidelinesRightsLinksStatisticsNewsFrequently Asked Questions

RODIN is available through

OpenAIREOAIsterRecolectaHispanaEuropeanaBaseDARTOATDGoogle Academic

Related links

Sherpa/RomeoDulcineaROAROpenDOARCreative CommonsORCID

RODIN está gestionado por el Área de Biblioteca, Archivo y Publicaciones de la Universidad de Cádiz

Contact informationSuggestions