Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Joseph P. Spruce"'
Autor:
Ibrahim Nourein Mohammed, John D. Bolten, Raghavan Srinivasan, Chinaporn Meechaiya, Joseph P. Spruce, Venkat Lakshmi
Publikováno v:
Data in Brief, Vol 21, Iss , Pp 2020-2027 (2018)
In ‘Satellite observations and modeling to understand the Lower Mekong River Basin streamflow variability’ [1] hydrological fluxes, meteorological variables, land cover land use maps, and soil characteristics and parameters data were compiled and
Externí odkaz:
https://doaj.org/article/0b723fe9e4784a5d9020dceddaff26e3
Publikováno v:
International Journal of Remote Sensing. 37:1692-1713
This study combined a radar-based time series of Hurricane Sandy surge and estimated persistence with optical sensor-based marsh condition change to assess potential causal linkages of surge persistence and marsh condition change along the New Jersey
Publikováno v:
Geocarto International. 29:470-485
This paper discusses the development and implementation of a geospatial data processing method and multi-decadal Landsat time series for computing general coastal U.S. land-use and land-cover (LULC) classifications and change products consisting of s
Autor:
Forrest M. Hoffman, William W. Hargrove, Steven P. Norman, Jitendra Kumar, Joseph P. Spruce, Richard T. Mills
Publikováno v:
ICCS
We investigated the use of principal components analysis (PCA) to visualize dominant patterns and identify anomalies in a multi-year land surface phenology data set (231 m × 231 m normalized difference vegetation index (NDVI) values derived from the
Autor:
Yukihiro Suzuoki, Terri Bannister, James Smoot, Amina Rangoonwala, Jerry Gasser, Elijah W. Ramsey, Joseph P. Spruce
Publikováno v:
Photogrammetric Engineering & Remote Sensing. 77:1133-1143
We studied the use of daily satellite data from the Moderate Resolution Imaging Spectroradiometer (MODIS) sensors to assess wetland forest damage and recovery from Hurricane Katrina (29 August 2005 landfall). Processed MODIS daily vegetation index (V
Autor:
Steven A. Sader, Rodney McKellip, Joseph P. Spruce, Gerald Gasser, William W. Hargrove, Donald Prados, Jeffrey Russell, Robert E. Ryan, James Smoot, Philip D. Kuper, Kenton W. Ross
Publikováno v:
Remote Sensing of Environment. 115:427-437
article i nfo Article history: This paper discusses an assessment of Moderate Resolution Imaging Spectroradiometer (MODIS) time-series data products for detecting forest defoliation from European gypsy moth (Lymantria dispar). This paper describes an
Publikováno v:
Journal of Coastal Conservation. 15:139-149
The purpose of this research is to quantify and assess geospatial land-use and land-cover (LULC) changes in the coastal counties of Mobile and Baldwin, Alabama using nine Landsat images from 1974–2008. A study-specific classification scheme was dev
Publikováno v:
Journal of Applied Meteorology and Climatology. 47:2614-2626
An automated technique was developed that uses only airborne lidar terrain data to derive the necessary parameters for calculation of effective aerodynamic surface roughness in urban areas. The technique provides parameters for geometric models that
Autor:
Steven P. Norman, William M. Christie, Joseph P. Spruce, William W. Hargrove, Sean W. Schroeder
For a higher resolution version of this file, please use the following link: www.geobabble.org Satellite-based remote sensing can assist forest managers with their need to recognize disturbances and track recovery. Despite the long standing availabil
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::687568ffeb78e236ffb1f028fb42e8e3
https://doi.org/10.2737/srs-gtr-180
https://doi.org/10.2737/srs-gtr-180
Publikováno v:
OCEANS 2009.
This paper discusses an ongoing effort to develop new geospatial information products for aiding coastal forest restoration and conservation efforts in coastal Louisiana and Mississippi. This project employs Landsat, Advanced Spaceborne Thermal Emiss