Elijah Ramsey, III, Ph.D. (Former Employee)
Science and Products
Filter Total Items: 76
Using multiple-polarization L-band radar to monitor marsh burn recovery Using multiple-polarization L-band radar to monitor marsh burn recovery
Aircraft L-band VV-, HH-, and VH-polarizations were examined as tools for monitoring burn recovery in a coastal marsh. Significant relationships were observed between time-since-burn (difference between burn and image collection dates; 550-900 days after burn) and returns related to all polarizations. As marsh burn recovery progressed, VV returns decreased while HH and VH returns...
Authors
Elijah W. Ramsey, G.A. Nelson, S.K. Sapkota, S.C. Laine, J. Verdi, S. Rrasznay
Radar remote sensing of wetlands Radar remote sensing of wetlands
No abstract available.
Authors
Elijah Ramsey III
Resource management of forested wetlands: Hurricane impact and recovery mapped by combining Landsat TM and NOAA AVHRR data Resource management of forested wetlands: Hurricane impact and recovery mapped by combining Landsat TM and NOAA AVHRR data
A temporal suite of NOAA Advanced Very High Resolution Radiometer (AVHRR) images, transformed into a vegetation biomass indicator, was combined with a single-date classification of Landsat Thematic Mapper (TM) to map the association between forest type and hurricane effects. Hurricane effects to the forested wetland included an abrupt decrease and subsequent increase in biomass. The...
Authors
Elijah Ramsey III, D.K. Chappell, Dennis M. Jacobs, Sijan Sapkota, D.G. Baldwin
Generation of coastal marsh topography with radar and ground-based measurements Generation of coastal marsh topography with radar and ground-based measurements
A topographic surface of a low lying coastal marsh was created by using three flood extent vectors digitized from ERS-1 SAR images and two elevation contours from U.S. Geological Survey topographic quadrangles. Point measurement of water depth at the times of the SAR collections allowed conversion of the radar measured flood extent vectors to topographic contours. Generation of the...
Authors
Elijah W. Ramsey, G.A. Nelson, S.C. Laine, R.G. Kirkman, W. Topham
Classifying coastal resources by integrating optical and radar imagery and color infrared photography Classifying coastal resources by integrating optical and radar imagery and color infrared photography
A progressive classification of a marsh and forest system using Landsat Thematic Mapper (TM), color infrared (CIR) photograph, and ERS-1 synthetic aperture radar (SAR) data improved classification accuracy when compared to classification using solely TM reflective band data. The classification resulted in a detailed identification of differences within a nearly monotypic black needlerush...
Authors
Elijah W. Ramsey, Gene A. Nelson, Sijan Sapkota
Comparison of Landsat Thematic Mapper and high resolution photography to Identify change in complex coastal wetlands Comparison of Landsat Thematic Mapper and high resolution photography to Identify change in complex coastal wetlands
Landsat Thematic Mapper (TM) images were used to generate pre- and post- hurricane classifications of a complex wetland environment in southern Louisiana. Accuracies were estimated as 77% and 81.5% for the pre- and post- classifications that included water, emergent vegetation, floating vegetation, and mud flats. From the two classifications, areas of emergent vegetation loss were...
Authors
Elijah Ramsey III, S.C. Laine
Science and Products
Filter Total Items: 76
Using multiple-polarization L-band radar to monitor marsh burn recovery Using multiple-polarization L-band radar to monitor marsh burn recovery
Aircraft L-band VV-, HH-, and VH-polarizations were examined as tools for monitoring burn recovery in a coastal marsh. Significant relationships were observed between time-since-burn (difference between burn and image collection dates; 550-900 days after burn) and returns related to all polarizations. As marsh burn recovery progressed, VV returns decreased while HH and VH returns...
Authors
Elijah W. Ramsey, G.A. Nelson, S.K. Sapkota, S.C. Laine, J. Verdi, S. Rrasznay
Radar remote sensing of wetlands Radar remote sensing of wetlands
No abstract available.
Authors
Elijah Ramsey III
Resource management of forested wetlands: Hurricane impact and recovery mapped by combining Landsat TM and NOAA AVHRR data Resource management of forested wetlands: Hurricane impact and recovery mapped by combining Landsat TM and NOAA AVHRR data
A temporal suite of NOAA Advanced Very High Resolution Radiometer (AVHRR) images, transformed into a vegetation biomass indicator, was combined with a single-date classification of Landsat Thematic Mapper (TM) to map the association between forest type and hurricane effects. Hurricane effects to the forested wetland included an abrupt decrease and subsequent increase in biomass. The...
Authors
Elijah Ramsey III, D.K. Chappell, Dennis M. Jacobs, Sijan Sapkota, D.G. Baldwin
Generation of coastal marsh topography with radar and ground-based measurements Generation of coastal marsh topography with radar and ground-based measurements
A topographic surface of a low lying coastal marsh was created by using three flood extent vectors digitized from ERS-1 SAR images and two elevation contours from U.S. Geological Survey topographic quadrangles. Point measurement of water depth at the times of the SAR collections allowed conversion of the radar measured flood extent vectors to topographic contours. Generation of the...
Authors
Elijah W. Ramsey, G.A. Nelson, S.C. Laine, R.G. Kirkman, W. Topham
Classifying coastal resources by integrating optical and radar imagery and color infrared photography Classifying coastal resources by integrating optical and radar imagery and color infrared photography
A progressive classification of a marsh and forest system using Landsat Thematic Mapper (TM), color infrared (CIR) photograph, and ERS-1 synthetic aperture radar (SAR) data improved classification accuracy when compared to classification using solely TM reflective band data. The classification resulted in a detailed identification of differences within a nearly monotypic black needlerush...
Authors
Elijah W. Ramsey, Gene A. Nelson, Sijan Sapkota
Comparison of Landsat Thematic Mapper and high resolution photography to Identify change in complex coastal wetlands Comparison of Landsat Thematic Mapper and high resolution photography to Identify change in complex coastal wetlands
Landsat Thematic Mapper (TM) images were used to generate pre- and post- hurricane classifications of a complex wetland environment in southern Louisiana. Accuracies were estimated as 77% and 81.5% for the pre- and post- classifications that included water, emergent vegetation, floating vegetation, and mud flats. From the two classifications, areas of emergent vegetation loss were...
Authors
Elijah Ramsey III, S.C. Laine