文献类型： 会议论文

第一作者： Rey Rusty Quides

作者： Rey Rusty Quides ¹ ; Ayin M. Tamondong ² ; Ariel C. Blanco ² ;

作者机构： 1.National Resource Assessment, Training Center for Applied Geodesy and Photogrammetry, Department of Geodetic Engineering, University of the Philippines, Diliman, Quezon City 1101, Philippines

2.Environmental Systems Applications of Geomatics Engineering (EnviSAGE) Research Laboratory, Department of Geodetic Engineering, University of the Philippines, Diliman, Quezon City 1101, Philippines,National Resource Assessment, Training Center for Applied Geodesy and Photogrammetry, Department of Geodetic Engineering, University of the Philippines, Diliman, Quezon City 1101, Philippines

关键词： Seagrass;Mixture Tuned Matched Filtering;Landsat;Philippines

会议名称： Asian conference on remote sensingACRS

主办单位：

页码： 1933-1938

摘要： Seagrasses are submerged aquatic vegetation which are declining in cover through the years. Natural and anthropogenic factors contribute to this decline. Mapping coastal habitats using satellite imagery has always been a challenge because of the effects of the water column. Common methods require immense field data validation which are difficult and time consuming to collect. This paper discusses the ability of Mixture Tuned Matched Filtering (MTMF) to rapidly map and assess the change of seagrass cover using Landsat satellite multispectral images from years 2000, 2005, 2010 and 2015 along the eastern coast of Samar and Leyte, Philippines which took damage due to Typhoon Haiyan (Yolanda) last 2013. The Landsat images were radiometrically calibrated and atmospherically corrected using FLAASH (Fast Line-of-sight Atmospheric Analysis of Spectral Hypercubes). Field data taken last November 2015 was used to choose pure pixels for MTMF and also for accuracy assessment.

分类号： tp7