Elijah Ramsey, III, Ph.D. (Former Employee)
Science and Products
Filter Total Items: 76
Monitoring the recovery of Juncus roemerianus marsh burns with the normalized difference vegetation index and Landsat Thematic Mapper data Monitoring the recovery of Juncus roemerianus marsh burns with the normalized difference vegetation index and Landsat Thematic Mapper data
Nine atmospherically corrected Landsat Thematic Mapper images were used to generate mean normalized difference vegetation indices (NDVI) at 11 burn sites throughout a coastal Juncus roemerianus marsh in St. Marks National Wildlife Refuge, Florida. Time-since-burn, the time lapse from the date of burn to the date of image collection, was related to variation in mean NDVI over time...
Authors
Elijah W. Ramsey, S.K. Sapkota, F.G. Barnes, G.A. Nelson
Forest impact estimated with NOAA AVHRR and landsat TM data related to an empirical hurricane wind-field distribution Forest impact estimated with NOAA AVHRR and landsat TM data related to an empirical hurricane wind-field distribution
An empirical model was used to relate forest type and hurricane-impact distribution with wind speed and duration to explain the variation of hurricane damage among forest types along the Atchafalaya River basin of coastal Louisiana. Forest-type distribution was derived from Landsat Thematic Mapper image data, hurricane-impact distribution from a suite of transformed advanced very high...
Authors
Elijah W. Ramsey, M.E. Hodgson, S.K. Sapkota, G.A. Nelson
Coastal change analysis program implemented in Louisiana Coastal change analysis program implemented in Louisiana
Landsat Thematic Mapper images from 1990 to 1996 and collateral data sources were used to classify the land cover of the Mermentau River Basin (MRB) within the Chenier Plain of coastal Louisiana. Landcover classes followed the definition of the National Oceanic and Atmospheric Administration's Coastal Change Analysis Program; however, classification methods had to be developed as part of...
Authors
Elijah W. Ramsey, G.A. Nelson, S.K. Sapkota
Landcover classification of Padre Island National Seashore Landcover classification of Padre Island National Seashore
No abstract available.
Authors
Elijah W. Ramsey, G.A. Nelson, S.K. Sapkota, W. Phillips, S. Laine
Landcover Classification of Lake Meredith National Recreation Area Landcover Classification of Lake Meredith National Recreation Area
No abstract available.
Authors
Elijah W. Ramsey, G.A. Nelson, S.K. Sapkota, M. Strong
Conveying multiple, complex themes and classes for natural resource assessments Conveying multiple, complex themes and classes for natural resource assessments
Two methods were used to convey the spatial association between a classified forested landscape, the distribution of a hurricane impact, and the subsequent recovery of the habitat from the storm. The first method used a constant hue matrix with varying intensity to visually represent combinations of impact and recovery magnitudes. The second combined two colors of constant hue to...
Authors
Elijah Ramsey III, Marshall L. Strong
Science and Products
Filter Total Items: 76
Monitoring the recovery of Juncus roemerianus marsh burns with the normalized difference vegetation index and Landsat Thematic Mapper data Monitoring the recovery of Juncus roemerianus marsh burns with the normalized difference vegetation index and Landsat Thematic Mapper data
Nine atmospherically corrected Landsat Thematic Mapper images were used to generate mean normalized difference vegetation indices (NDVI) at 11 burn sites throughout a coastal Juncus roemerianus marsh in St. Marks National Wildlife Refuge, Florida. Time-since-burn, the time lapse from the date of burn to the date of image collection, was related to variation in mean NDVI over time...
Authors
Elijah W. Ramsey, S.K. Sapkota, F.G. Barnes, G.A. Nelson
Forest impact estimated with NOAA AVHRR and landsat TM data related to an empirical hurricane wind-field distribution Forest impact estimated with NOAA AVHRR and landsat TM data related to an empirical hurricane wind-field distribution
An empirical model was used to relate forest type and hurricane-impact distribution with wind speed and duration to explain the variation of hurricane damage among forest types along the Atchafalaya River basin of coastal Louisiana. Forest-type distribution was derived from Landsat Thematic Mapper image data, hurricane-impact distribution from a suite of transformed advanced very high...
Authors
Elijah W. Ramsey, M.E. Hodgson, S.K. Sapkota, G.A. Nelson
Coastal change analysis program implemented in Louisiana Coastal change analysis program implemented in Louisiana
Landsat Thematic Mapper images from 1990 to 1996 and collateral data sources were used to classify the land cover of the Mermentau River Basin (MRB) within the Chenier Plain of coastal Louisiana. Landcover classes followed the definition of the National Oceanic and Atmospheric Administration's Coastal Change Analysis Program; however, classification methods had to be developed as part of...
Authors
Elijah W. Ramsey, G.A. Nelson, S.K. Sapkota
Landcover classification of Padre Island National Seashore Landcover classification of Padre Island National Seashore
No abstract available.
Authors
Elijah W. Ramsey, G.A. Nelson, S.K. Sapkota, W. Phillips, S. Laine
Landcover Classification of Lake Meredith National Recreation Area Landcover Classification of Lake Meredith National Recreation Area
No abstract available.
Authors
Elijah W. Ramsey, G.A. Nelson, S.K. Sapkota, M. Strong
Conveying multiple, complex themes and classes for natural resource assessments Conveying multiple, complex themes and classes for natural resource assessments
Two methods were used to convey the spatial association between a classified forested landscape, the distribution of a hurricane impact, and the subsequent recovery of the habitat from the storm. The first method used a constant hue matrix with varying intensity to visually represent combinations of impact and recovery magnitudes. The second combined two colors of constant hue to...
Authors
Elijah Ramsey III, Marshall L. Strong