Pages that link to "Item:Q163353"
From geokb
The following pages link to Elijah Ramsey, III, Ph.D. (Q163353):
Displayed 50 items.
- Remote sensing of mangrove wetlands: Relating canopy spectra to site-specific data (Q143600) (← links)
- Monitoring the recovery of Juncus roemerianus marsh burns with the normalized difference vegetation index and Landsat Thematic Mapper data (Q143698) (← links)
- Spectral reflectance and canopy structure characteristics of gulf coast wetland vegetation types (Q144078) (← links)
- Light attenuation profiling as an indicator of structural changes in coastal marshes (Q144471) (← links)
- Using multiple-polarization L-band radar to monitor marsh burn recovery (Q144695) (← links)
- Radar and optical image fusion and mapping of land cover and wetland resources (Q147662) (← links)
- Remote sensing and the optical properties of the narrow cylindrical leaves of Juncus roemerianus (Q148592) (← links)
- Remote sensing of water quality (Q149910) (← links)
- The measurement of mangrove characteristics in southwest Florida using spot multispectral data (Q149960) (← links)
- Aircraft MSS data registration and vegetation classification of wetland change detection (Q151041) (← links)
- Response and resilience of Spartina alterniflora to sudden dieback (Q151652) (← links)
- Marsh canopy structure changes and the Deepwater Horizon oil spill (Q152851) (← links)
- Wetland shoreline recession in the Mississippi River Delta from petroleum oiling and cyclonic storms (Q153062) (← links)
- Conveying multiple, complex themes and classes for natural resource assessments (Q153406) (← links)
- Comparison of Landsat Thematic Mapper and high resolution photography to Identify change in complex coastal wetlands (Q155296) (← links)
- Structural classification of marshes with Polarimetric SAR highlighting the temporal mapping of marshes exposed to oil (Q234420) (← links)
- Marsh dieback, loss, and recovery mapped with satellite optical, airborne polarimetric radar, and field data (Q236353) (← links)
- Oil source-fingerprinting in support of polarimetric radar mapping of Macondo-252 oil in Gulf Coast marshes (Q237296) (← links)
- The National Vegetation Classification Standard applied to the remote sensing classification of two semiarid environments (Q237550) (← links)
- Radar and optical mapping of surge persistence and marsh dieback along the New Jersey Mid-Atlantic coast after Hurricane Sandy (Q238166) (← links)
- Coastal flood inundation monitoring with Satellite C-band and L-band Synthetic Aperture Radar data (Q243578) (← links)
- Flat-plate techniques for measuring reflectance of macro-algae (Ulva curvata) (Q245093) (← links)
- Spectral definition of the macro-algae Ulva curvata in the back-barrier bays of the Eastern Shore of Virginia, USA (Q245235) (← links)
- Multiple baseline radar interferometry applied to coastal land cover classification and change analyses (Q246427) (← links)
- A whole image approach using field measurements for transforming EO1 Hyperion hyperspectral data into canopy reflectance spectra (Q249358) (← links)
- Mapping the invasive species, Chinese tallow, with EO1 satellite Hyperion hyperspectral image data and relating tallow occurrences to a classified Landsat Thematic Mapper land cover map (Q249499) (← links)
- Generation and validation of characteristic spectra from EO1 Hyperion image data for detecting the occurrence of the invasive species, Chinese tallow (Q249535) (← links)
- Remote sensing of coastal environments (Q250133) (← links)
- Oil detection in a coastal marsh with polarimetric Synthetic Aperture Radar (SAR) (Q251207) (← links)
- AVHRR imagery used to identify hurricane damage in a forested wetland of Louisiana (Q253956) (← links)
- Remote sensing methods for mapping the onset and progression of spartina alterniflora marsh dieback in coastal Louisiana (Q255535) (← links)
- Leaf optical property changes associated with the occurrence of Spartina alterniflora dieback in Coastal Louisiana related to remote sensing mapping (Q259755) (← links)
- Marsh canopy leaf area and orientation calculated for improved marsh structure mapping (Q261376) (← links)
- Classifying coastal resources by integrating optical and radar imagery and color infrared photography (Q263460) (← links)
- Limitations and potential of satellite imagery to monitor environmental response to coastal flooding (Q264213) (← links)
- A case of timely satellite image acquisitions in support of coastal emergency environmental response management (Q265235) (← links)
- Forest impact estimated with NOAA AVHRR and landsat TM data related to an empirical hurricane wind-field distribution (Q268082) (← links)
- Canopy reflectance related to marsh dieback onset and progression in Coastal Louisiana (Q269456) (← links)
- Preliminary analysis of spectral data collected for the purpose of wetland discrimination (Q272359) (← links)
- Mapping the onset and progression of marsh dieback (Q275263) (← links)
- Radar remote sensing of wetlands (Q276770) (← links)
- Modeling mangrove canopy reflectance using a light interaction model and an optimization technique (Q278613) (← links)
- Mapping the invasive species, Chinese tallow with NASA EO1 satellite hyperion hyperspectral image data (Q279432) (← links)
- Wetlands, global climate change, and remote sensing (Q282168) (← links)
- Landcover classification of Padre Island National Seashore (Q282243) (← links)
- Satellite optical and radar data used to track wetland forest impact and short-term recovery from Hurricane Katrina (Q282802) (← links)
- Mapping and improving frequency, accuracy, and interpretation of land cover change: Classifying coastal Louisiana with 1990, 1993, 1996, and 1999 Landsat Thematic Mapper image data (Q283374) (← links)
- Palo Alto Battlefield National Historic Site landscape classification and historical analysis (Q285187) (← links)
- Mapping Chinese tallow with color-infrared photography (Q289140) (← links)
- Integrating image and GIS processing to map a complex landscape with national vegetation classification system protocols and high spatial resolution image data (Q289153) (← links)