Mapping Submerged Habitats and Mangroves of Lampi Island Marine National Park (Myanmar) from in Situ and Satellite Observations

Remote Sensing

Claudia Giardino¹  Mariano Bresciani¹  Francesco Fava²  Erica Matta¹  Vittorio E. Brando¹  Roberto Colombo²  Stuart Phinn³  Chris Roelfsema³  Xiaofeng Li³ 

[1] CNR-IREA, Optical Remote Sensing Group, Via Bassini 15, Milano 20133, Italy;Remote Sensing of Environmental Dynamics Lab., University of Milano-Bicocca, DISAT, Pzza Della Scienza 1, Milano 20126, Italy;;CNR-IREA, Optical Remote Sensing Group, Via Bassini 15, Milano 20133, Italy

关键词: corals;    seagrass;    mangrove forests;    Landsat-8;    biodiversity;    marine national park;   

DOI  :  10.3390/rs8010002

来源: mdpi

【 摘 要 】

In this study we produced the first thematic maps of submerged and coastal habitats of Lampi Island (Myanmar) from in situ and satellite data. To focus on key elements of bio-diversity typically existing in tropical islands the detection of corals, seagrass, and mangrove forests was addressed. Satellite data were acquired from Landsat-8; for the purpose of validation Rapid-Eye data were also used. In situ data supporting image processing were collected in a field campaign performed from 28 February to 4 March 2015 at the time of sensors overpasses. A hybrid approach based on bio-optical modeling and supervised classification techniques was applied to atmospherically-corrected Landsat-8 data. Bottom depth estimations, to be used in the classification process of shallow waters, were in good agreement with depth soundings (R² = 0.87). Corals were classified with producer and user accuracies of 58% and 77%, while a lower accuracy (producer and user accuracies of 50%) was found for the seagrass due to the patchy distribution of meadows; accuracies more than 88% were obtained for mangrove forests. The classification indicated the presence of 18 mangroves sites with extension larger than 5 km²; for 15 of those the coexistence of corals and seagrass were also found in the fronting bays, suggesting a significant rate of biodiversity for the study area.

【 授权许可】

CC BY   
© 2015 by the authors; licensee MDPI, Basel, Switzerland.