15 research outputs found
Louisiana Barrier Island Comprehensive Monitoring Program (BICM) Volume 3: Bathymetry and Historical Seafloor Change 1869-2007 Part 1: South-Central Louisiana and Northern Chandeleur Islands, Bathymetry Methods and Uncertainty Analysis Final Report
Louisiana Barrier Island Comprehensive Monitoring Program (BICM) Volume 3: Bathymetry and Historical Seafloor Change 1869-2007 Part 3: Southern Chandeleur Islands and Western Chenier Beaches, Bathymetery Maps
Recommended from our members
Power and Authority in Eastern Christian Experience: Papers of the Sophia Institute Academic Conference New York, December 2010
The essays in this volume were delivered at the Third Annual Conference of the Sophia Institute in December 2010 at Union Theological Seminary in New York City. The theme of that conference, “Power and Authority in Eastern Christian Experience,” brought forth a diverse group of scholars who contributed their perspectives on the ways the Eastern Orthodox Church, in its broadest sense, has negotiated the notions of power, authority, (dis)obedience, and resistance over time and space. These insightful essays promise to draw the Orthodox world into a dynamic and productive discourse
Louisiana Barrier Island Comprehensive Monitoring Program (BICM) Volume 3: Bathymetry and Historical Seafloor Change 1869-2007 Part 2: South Central Louisiana and Northern Chandeleur Islands, Bathymetry Maps
Louisiana Barrier Island Comprehensive Monitoring Program (BICM) Volume 3: Bathymetry and Historical Seafloor Change 1869-2007 Part 2: South Central Louisiana and Northern Chandeleur Islands, Bathymetry Maps
Use of RADARSAT-2 and ALOS-PALSAR SAR images for wetland mapping in New Brunswick
Our study tests the use of dual-polarized (HH, HV) RADARSAT-2 C-band and ALOS-PALSAR L-band SAR images for mapping wetland areas in New Brunswick. The study also uses LANDSAT-5 TM and DEM data. The resulting maps were compared to GPS field data as well as to two wetland maps currently in use by the Province of New Brunswick. Overall the Random Forests classifier gave better classification accuracies than the maximum likelihood classifier. The comparison with the 146 wetland truth sites shows that 73.3% are correctly identified over the LANDSAT-5 TM classified image. For the SAR-based classified images, the number of correctly identified wetland ground truth sites is higher when the image acquired during the flooding is considered, the difference being higher with the ALOS-PALSAR images than with the RADARSAT-2 images. The number of correctly identified sites is the highest when both the ALOS-PALSAR images and RADARSAT-2 images are used (98.6%). These percentages of correctly identified wetland sites are well above of those computed using the DNR wetland and forested wetland maps (44.5 %)