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[IEEE IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium - Valencia, Spain (2018.7.22-2018.7.27)] IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium - Potential of Landsat-Oli for Seagrass and Algae Species Detection and Discrimination in Bahrain National Water Using Spectral Reflectance
摘要： Seagrass (Halodule uninervis and Halophila stipulacea) and algae (green and brown) species are widely distributed along the coastal zones of the Bahrain national water. In this study the potential of Landsat-OLI VNIR spectral bands was investigated for distinction and discrimination among these species using spectral reflectances. The measured spectra’s of each species considering different coverage rate (0, 10, 30, 75 and 100%) were transformed using continuum-removed (CR) approach, resampled and convolved in the solar-reflective spectral bands of OLI using a radiative transfer code, then converted to water vegetation indices (WVI). Regression analysis were performed between the transformed WVI and the coverage rates of each species individually (seagrass and algae) and mixed; as well between WVI and NIR reflectances. Spectral and CR analyses showed that the blue and the green bands perform better than the coastal and the red bands for seagrass and algae classes’ discrimination. This result was further corroborated by the WVI. Regression results between the coverage rates and WVI calculated with green and NIR bands showed that the TDAVI and WAVI discriminate significantly among the mixed species (R2 of 0.70), and between individual species (R2 of 0.80 for algae and for seagrass). Accomplished between WVI and NIR reflectances, regression correlations were more significant when all mixed samples (R2 of 0.95) have been considered, likewise when we consider individually the two seagrass (R2 of 0.95) and the two algae species (R2 of 0.82).
关键词： Bahrain,Algae,Seagrass,Spectral signature,Landsat-OLI,Water vegetation indices
更新于2025-09-11 14:15:04
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[IEEE IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium - Valencia, Spain (2018.7.22-2018.7.27)] IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium - Imaging Exposed Intertidal Flats Using Multi-Polarization Synthetic Aperture Radar
摘要： We demonstrate that dual-co-polarization Synthetic Aperture Radar (SAR) imagery can be used to derive new indicators for bivalve beds on dry-fallen intertidal flats and to investigate radar backscattering mechanisms on exposed sediments and seagrass meadows. The Kennaugh element framework forms the basis for our studies, and particular Kennaugh elements are used to generate maps indicating the location of bivalve beds and to demonstrate the seasonal change of the radar backscattering from exposed intertidal during low tide.
关键词： SAR,Intertidal flats,bivalve beds,seagrass meadows,Kennaugh elements
更新于2025-09-10 09:29:36
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[IEEE IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium - Valencia, Spain (2018.7.22-2018.7.27)] IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium - Benthic Mapping Using High Resolution Multispectral and Hyperspectral Imagery
摘要： Coastal ecosystems are essential due to their high biodiversity and primary production, however they are extremely complex and with high spatial and temporal variability. Thus, to properly manage them it is necessary a systematic monitoring. Remote sensing can be very useful due to the spatial and spectral improvement of satellites and the availability of airborne or drone hyperspectral sensors. Unfortunately, the mapping of coastal areas is challenging due to the low SNR received at the sensor, as a consequence of the minimum reflectivity of the seafloor and the atmospheric and water column disturbances. In this context, the goal of this work is to obtain a robust classification methodology to generate accurate benthic habitat maps applying object-oriented and pixel-based classification methods in shallow waters using WorldView-2 and AHS (Airborne Hyperspectral Scanner) images. Maspalomas (Gran Canaria, Spain) was studied due to its complexity and the presence of important seagrass meadows.
关键词： Benthic mapping,SVM,classification,hyperspectral,seagrass
更新于2025-09-10 09:29:36