The Use of Multimodal Data to Augment Shallow-Water Benthic Habitat Maps for Pleasant Bay, Cape Cod, Massachusetts: Stratigraphic Data and Seafloor Maps

2020 ◽  
Vol 27 (sp10) ◽  
pp. 48 ◽  
Author(s):  
Mark. Borrelli ◽  
Bryan Andrew Oakley ◽  
Jeremiah Bradford Hubeny ◽  
Heath Love ◽  
Theresa Lynn Smith ◽  
...  
2020 ◽  
Vol 27 (sp10) ◽  
pp. 22 ◽  
Author(s):  
Agnes Mittermayr ◽  
Bryan J. Legare ◽  
Cristina G. Kennedy ◽  
Sophia E. Fox ◽  
Mark Borrelli
Keyword(s):  
Cape Cod ◽  

Author(s):  
Sabah Aljenaid ◽  
Eman Ghoneim ◽  
Mohammed Abido ◽  
Khalil AlWedhai ◽  
Ghadeer Khadim ◽  
...  

2007 ◽  
Vol 72 (1-2) ◽  
pp. 379-386 ◽  
Author(s):  
David A. Ryan ◽  
Brendan P. Brooke ◽  
Lindsay B. Collins ◽  
Gary A. Kendrick ◽  
Katrina J. Baxter ◽  
...  

2020 ◽  
Vol 5 (1) ◽  
pp. 78-90
Author(s):  
Ari Anggoro ◽  
Zamdial Zamdial ◽  
Dede Hartono ◽  
Deddy Bakhtiar ◽  
Nurlaila Ervina Herliany ◽  
...  

Pulau Tikus adalah pulau kecil yang terletak di Kota Bengkulu yang memiliki potensi terumbu karang disekitar perairan dangkal. Tujuan penelitian ini untuk memetakan kawasan habitat perairan dangkal ekosistem terumbu karang Pulau Tikus menggunakan citra satelit Landsat 8 OLI dan menguji akurasi klasifikasi peta habitat perairan dangkal di Pulau Tikus. Metode klasifikasi yang digunakan adalah klasifikasi terbimbing maximum likelihood classification. Hasil klasifikasi citra Landsat 8 OLI berdasarkan skema klasifikasi yang digunakan dari lima kelas habitat di Pulau Tikus tersebut yaitu karang hidup seluas 71,46 ha, karang campur pasir 106,9425 ha, karang mati 67,365 ha, makro alga 31,815 ha, dan pasir 40,05 ha. Uji akurasi dari perbandingan hasil klasifikasi citra dan data lapangan mendapatkan total akurasi keseluruhan yaitu sebesar 77%.SHALLOW WATER HABITATS MAPPING USING A MEDIUM RESOLUTION IMAGE WITH CLASSIFICATION METHOD PIKSEL-BASED (CASE STUDY OF THE TIKUS ISLAND). Tikus Island is a small island which located in Bengkulu City has the potential of coral reefs around the shallow water. The aims of this research were to map the area of benthic habitat in Tikus Island Bengkulu using Landsat 8 OLI satellite imagery and to test the accuracy on the benthic habitat map in Tikus Island. The method used supervised classification using maximum likelihood classification. The result of Landsat 8 OLI classification base on the five class habitats classification scheme used obtained in Tikus island showed coral reef (71,46 ha), coral mix sand (106,9425 ha), dead coral (67,365 ha), macroalgae (31,815 ha), and sand (40,05 ha). Accuracy test from the comparison of classification results and ground truth data get a total overall accuracy of 77%.


2021 ◽  
Vol 944 (1) ◽  
pp. 012048
Author(s):  
S B Agus ◽  
V P Siregar ◽  
S B Susilo ◽  
M S Sangadji ◽  
G F Tasirileleu ◽  
...  

Abstract Information on seafloor characteristics is one of the essential variables in coastal management and marine ecosystems. Application methods in remote sensing technology to study about characteristics of shallow waters have continuously been done. This research consists of two parts: an estimation of depth using Sentinel 2B satellite imagery with the Lyzenga algorithm and geomorphological classification of the benthic area using the Benthic Terrain Modeler (BTM) approach. BTM is a method to analyze benthic habitat and shallow water geomorphology. Integrated Depth data were analyzed using BTM to obtain bathymetric position index (BPI), slope, and classification of reef geomorphological structures. The resulting BPI value range is directly proportional to the given spatial area (scale factor). The slope is ranged between 0.01° – 19.24°, while optimum depth estimation is applicable until 10-meter. The values of BPI and slope were used as variables to classify the geomorphology of shallow water benthic areas based on the previous classification dictionary. Six geomorphological classes resulting from this study are Back Reef, Deep Depression, Depression, Lower Bank Shelf, Mid-Slope Ridges, and Reef Crest.


Sensors ◽  
2017 ◽  
Vol 17 (11) ◽  
pp. 2639 ◽  
Author(s):  
Francisco Eugenio ◽  
Javier Marcello ◽  
Javier Martin ◽  
Dionisio Rodríguez-Esparragón

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