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950 results for “Santa Barbara Coastal LTER”
SBC LTER: Daily averages of modeled significant wave height (Hs) and peak wave period (Tp) in the Santa Barbara Coastal area from the Coastal Data Information Program - Monitoring and Prediction System (CDIP MOP)
From http://cdip.ucsb.edu: The Coastal Data Information Program (CDIP) is a research group at Scripps Institution of Oceanography that monitors coastal waves and nearshore sand levels on regional scales. CDIP maintains a network of optimally-placed, directional wave buoys from San Diego to Eureka. The buoy measurements are used to initialize a high spatial resolution (100m x 100m) linear spectral wave propagation model. The resulting hourly hindcasts and nowcasts of CA coastal wave conditions have a level of accuracy that is not possible with more traditional wind-wave generation models that are initialized with modeled wind fields.
SBC LTER: Land: NCDC stations in Santa Barbara Coastal LTER study area
These data describe several surface stations sampled by the National Climatic Data Center (NCDC, http://ncdc.noaa.gov). Sampled parameters may include: daily precipitation, minimum daily temperature,maximum daily temperature, mean daily dew-point temperature, mean daily station pressure, mean daily resultant wind direction, and mean daily resultant wind speed. These stations were selected to represent the climate of the SBC LTER study area based on station elevation and spatial distribution within the study region. The stations provide a relatively long period of record (beginning in 1927), and are still active. Data are available using the NCDC link.
SBC LTER: Land: Stream chemistry in the Santa Barbara Coastal drainage area, 2000 -2018
This data package contains stream water chemistry measurements taken in Santa Barbara area watersheds, between 2000 and 2018. We do not plan to update this dataset after 2018 because the watershed component of the research within SBCLTER was terminated. Stream water samples were collected weekly during non-storm flows in winter, and bi-weekly during summer. During winter storms, samples were collected hourly (rising limb) or at 2-4 hour intervals (falling limb). Analytes sampled in the SBC LTER watersheds included dissolved nitrogen (nitrate, ammonium, total dissolved nitrogen); soluble reactive phosphorus (SRP); particulate organic carbon, nitrogen and phosphorus; total suspended sediments; and conductivity. There were two tables in this dataset. Samples from "registered stations" (see geographic coverage) were in the first data table (see table name). Many other samples had been collected ad hoc, or as "stations of opportunity". These had been collected in a second table, designated "non-registered". The station codes for these samples may have been reused, and were not recorded in metadata (but station codes can be found in data).
Santa Barbara Coastal site, station Santa Barbara Coastal LTER, study of plant biomass of Macrocystis pyrifera in units of gramsPerSquareMeter on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Santa Barbara Coastal (SBC) contains plant biomass of Macrocystis pyrifera measurements in gramsPerSquareMeter units and were aggregated to a yearly timescale.
Santa Barbara Coastal site, station Santa Barbara Coastal LTER, study of plant density of Macrocystis pyrifera in units of numberPerMeterSquared on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Santa Barbara Coastal (SBC) contains plant density of Macrocystis pyrifera measurements in numberPerMeterSquared units and were aggregated to a yearly timescale.
Santa Barbara Coastal site, station Santa Barbara Coastal LTER, study of net primary productivity of Macrocystis pyrifera in units of gramsPerMeterSquaredPerYear on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Santa Barbara Coastal (SBC) contains net primary productivity of Macrocystis pyrifera measurements in gramsPerMeterSquaredPerYear units and were aggregated to a yearly timescale.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Santa Barbara Coastal LTER collected on 1982-11-15
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Santa Barbara Coastal LTER, originally collected on 1982-11-15 (18:02:38.1790310Z) by Landsat 4, row 036, path 042. Cloud cover was 10 percent. The Landsat Ecosystem Disturbance Adaptive Processing System (LEDAPS) software was originally developed by the National Aeronautics and Space Administration–Goddard Space Flight Center and the University of Maryland to produce top-of-atmosphere reflectance from Landsat Thematic Mapper and Enhanced Thematic Mapper Plus Level 1 digital numbers and to apply atmospheric corrections to generate a surface-reflectance product. The U.S. Geological Survey (USGS) has adopted the LEDAPS algorithm for producing the Landsat Surface Reflectance Climate Data Record. NASA Landsat Program, 2009, Landsat TM LT40420361982319XXX03, LPGS_12.1.3, USGS, Sioux Falls, 2012-11-23T05:45:47Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Santa Barbara Coastal LTER collected on 1982-12-01
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Santa Barbara Coastal LTER, originally collected on 1982-12-01 (18:03:02.4020750Z) by Landsat 4, row 036, path 042. Cloud cover was 30 percent. The Landsat Ecosystem Disturbance Adaptive Processing System (LEDAPS) software was originally developed by the National Aeronautics and Space Administration–Goddard Space Flight Center and the University of Maryland to produce top-of-atmosphere reflectance from Landsat Thematic Mapper and Enhanced Thematic Mapper Plus Level 1 digital numbers and to apply atmospheric corrections to generate a surface-reflectance product. The U.S. Geological Survey (USGS) has adopted the LEDAPS algorithm for producing the Landsat Surface Reflectance Climate Data Record. NASA Landsat Program, 2009, Landsat TM LT40420361982335XXX08, LPGS_12.1.2, USGS, Sioux Falls, 2012-11-07T16:04:17Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Santa Barbara Coastal LTER collected on 1982-12-17
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Santa Barbara Coastal LTER, originally collected on 1982-12-17 (18:02:49.3930000Z) by Landsat 4, row 036, path 042. Cloud cover was 10 percent. The Landsat Ecosystem Disturbance Adaptive Processing System (LEDAPS) software was originally developed by the National Aeronautics and Space Administration–Goddard Space Flight Center and the University of Maryland to produce top-of-atmosphere reflectance from Landsat Thematic Mapper and Enhanced Thematic Mapper Plus Level 1 digital numbers and to apply atmospheric corrections to generate a surface-reflectance product. The U.S. Geological Survey (USGS) has adopted the LEDAPS algorithm for producing the Landsat Surface Reflectance Climate Data Record. NASA Landsat Program, 2009, Landsat TM LT40420361982351XXX02, LPGS_12.1.3, USGS, Sioux Falls, 2012-11-23T05:44:52Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Santa Barbara Coastal LTER collected on 1983-01-18
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Santa Barbara Coastal LTER, originally collected on 1983-01-18 (18:03:36.1820060Z) by Landsat 4, row 036, path 042. Cloud cover was 30 percent. The Landsat Ecosystem Disturbance Adaptive Processing System (LEDAPS) software was originally developed by the National Aeronautics and Space Administration–Goddard Space Flight Center and the University of Maryland to produce top-of-atmosphere reflectance from Landsat Thematic Mapper and Enhanced Thematic Mapper Plus Level 1 digital numbers and to apply atmospheric corrections to generate a surface-reflectance product. The U.S. Geological Survey (USGS) has adopted the LEDAPS algorithm for producing the Landsat Surface Reflectance Climate Data Record. NASA Landsat Program, 2009, Landsat TM LT40420361983018XXX01, LPGS_12.1.3, USGS, Sioux Falls, 2012-11-23T05:44:29Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Santa Barbara Coastal LTER collected on 1983-02-03
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Santa Barbara Coastal LTER, originally collected on 1983-02-03 (18:03:47.4550130Z) by Landsat 4, row 036, path 042. Cloud cover was 30 percent. The Landsat Ecosystem Disturbance Adaptive Processing System (LEDAPS) software was originally developed by the National Aeronautics and Space Administration–Goddard Space Flight Center and the University of Maryland to produce top-of-atmosphere reflectance from Landsat Thematic Mapper and Enhanced Thematic Mapper Plus Level 1 digital numbers and to apply atmospheric corrections to generate a surface-reflectance product. The U.S. Geological Survey (USGS) has adopted the LEDAPS algorithm for producing the Landsat Surface Reflectance Climate Data Record. NASA Landsat Program, 2009, Landsat TM LT40420361983034XXX01, LPGS_12.1.3, USGS, Sioux Falls, 2012-12-08T22:24:15Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Santa Barbara Coastal LTER collected on 1983-11-18
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Santa Barbara Coastal LTER, originally collected on 1983-11-18 (18:03:15.6310750Z) by Landsat 4, row 036, path 042. Cloud cover was 10 percent. The Landsat Ecosystem Disturbance Adaptive Processing System (LEDAPS) software was originally developed by the National Aeronautics and Space Administration–Goddard Space Flight Center and the University of Maryland to produce top-of-atmosphere reflectance from Landsat Thematic Mapper and Enhanced Thematic Mapper Plus Level 1 digital numbers and to apply atmospheric corrections to generate a surface-reflectance product. The U.S. Geological Survey (USGS) has adopted the LEDAPS algorithm for producing the Landsat Surface Reflectance Climate Data Record. NASA Landsat Program, 2009, Landsat TM LT40420361983322XXX08, LPGS_12.1.2, USGS, Sioux Falls, 2012-11-07T02:20:52Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Santa Barbara Coastal LTER collected on 1987-07-08
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Santa Barbara Coastal LTER, originally collected on 1987-07-08 (17:53:03.8570000Z) by Landsat 4, row 036, path 042. Cloud cover was 40 percent. The Landsat Ecosystem Disturbance Adaptive Processing System (LEDAPS) software was originally developed by the National Aeronautics and Space Administration–Goddard Space Flight Center and the University of Maryland to produce top-of-atmosphere reflectance from Landsat Thematic Mapper and Enhanced Thematic Mapper Plus Level 1 digital numbers and to apply atmospheric corrections to generate a surface-reflectance product. The U.S. Geological Survey (USGS) has adopted the LEDAPS algorithm for producing the Landsat Surface Reflectance Climate Data Record. NASA Landsat Program, 2009, Landsat TM LT40420361987189XXX01, LPGS_12.1.3, USGS, Sioux Falls, 2012-11-23T06:47:08Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Santa Barbara Coastal LTER collected on 1987-11-29
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Santa Barbara Coastal LTER, originally collected on 1987-11-29 (17:56:09.3680880Z) by Landsat 4, row 036, path 042. Cloud cover was 0 percent. The Landsat Ecosystem Disturbance Adaptive Processing System (LEDAPS) software was originally developed by the National Aeronautics and Space Administration–Goddard Space Flight Center and the University of Maryland to produce top-of-atmosphere reflectance from Landsat Thematic Mapper and Enhanced Thematic Mapper Plus Level 1 digital numbers and to apply atmospheric corrections to generate a surface-reflectance product. The U.S. Geological Survey (USGS) has adopted the LEDAPS algorithm for producing the Landsat Surface Reflectance Climate Data Record. NASA Landsat Program, 2009, Landsat TM LT40420361987333XXX01, LPGS_12.1.3, USGS, Sioux Falls, 2012-12-08T22:26:56Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Santa Barbara Coastal LTER collected on 1987-12-31
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Santa Barbara Coastal LTER, originally collected on 1987-12-31 (17:57:28.3960190Z) by Landsat 4, row 036, path 042. Cloud cover was 20 percent. The Landsat Ecosystem Disturbance Adaptive Processing System (LEDAPS) software was originally developed by the National Aeronautics and Space Administration–Goddard Space Flight Center and the University of Maryland to produce top-of-atmosphere reflectance from Landsat Thematic Mapper and Enhanced Thematic Mapper Plus Level 1 digital numbers and to apply atmospheric corrections to generate a surface-reflectance product. The U.S. Geological Survey (USGS) has adopted the LEDAPS algorithm for producing the Landsat Surface Reflectance Climate Data Record. NASA Landsat Program, 2009, Landsat TM LT40420361987365XXX01, LPGS_12.1.3, USGS, Sioux Falls, 2012-12-08T22:26:57Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Santa Barbara Coastal LTER collected on 1988-02-01
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Santa Barbara Coastal LTER, originally collected on 1988-02-01 (17:58:42.6090250Z) by Landsat 4, row 036, path 042. Cloud cover was 10 percent. The Landsat Ecosystem Disturbance Adaptive Processing System (LEDAPS) software was originally developed by the National Aeronautics and Space Administration–Goddard Space Flight Center and the University of Maryland to produce top-of-atmosphere reflectance from Landsat Thematic Mapper and Enhanced Thematic Mapper Plus Level 1 digital numbers and to apply atmospheric corrections to generate a surface-reflectance product. The U.S. Geological Survey (USGS) has adopted the LEDAPS algorithm for producing the Landsat Surface Reflectance Climate Data Record. NASA Landsat Program, 2009, Landsat TM LT40420361988032XXX01, LPGS_12.1.3, USGS, Sioux Falls, 2012-12-08T22:28:12Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Santa Barbara Coastal LTER collected on 1988-02-17
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Santa Barbara Coastal LTER, originally collected on 1988-02-17 (17:59:19.2490560Z) by Landsat 4, row 036, path 042. Cloud cover was 0 percent. The Landsat Ecosystem Disturbance Adaptive Processing System (LEDAPS) software was originally developed by the National Aeronautics and Space Administration–Goddard Space Flight Center and the University of Maryland to produce top-of-atmosphere reflectance from Landsat Thematic Mapper and Enhanced Thematic Mapper Plus Level 1 digital numbers and to apply atmospheric corrections to generate a surface-reflectance product. The U.S. Geological Survey (USGS) has adopted the LEDAPS algorithm for producing the Landsat Surface Reflectance Climate Data Record. NASA Landsat Program, 2009, Landsat TM LT40420361988048XXX01, LPGS_12.1.3, USGS, Sioux Falls, 2012-12-08T22:29:56Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Santa Barbara Coastal LTER collected on 1988-03-04
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Santa Barbara Coastal LTER, originally collected on 1988-03-04 (17:59:49.7730190Z) by Landsat 4, row 036, path 042. Cloud cover was 20 percent. The Landsat Ecosystem Disturbance Adaptive Processing System (LEDAPS) software was originally developed by the National Aeronautics and Space Administration–Goddard Space Flight Center and the University of Maryland to produce top-of-atmosphere reflectance from Landsat Thematic Mapper and Enhanced Thematic Mapper Plus Level 1 digital numbers and to apply atmospheric corrections to generate a surface-reflectance product. The U.S. Geological Survey (USGS) has adopted the LEDAPS algorithm for producing the Landsat Surface Reflectance Climate Data Record. NASA Landsat Program, 2009, Landsat TM LT40420361988064XXX01, LPGS_12.1.3, USGS, Sioux Falls, 2012-12-08T22:29:57Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Santa Barbara Coastal LTER collected on 1988-03-20
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Santa Barbara Coastal LTER, originally collected on 1988-03-20 (18:00:17.7610440Z) by Landsat 4, row 036, path 042. Cloud cover was 0 percent. The Landsat Ecosystem Disturbance Adaptive Processing System (LEDAPS) software was originally developed by the National Aeronautics and Space Administration–Goddard Space Flight Center and the University of Maryland to produce top-of-atmosphere reflectance from Landsat Thematic Mapper and Enhanced Thematic Mapper Plus Level 1 digital numbers and to apply atmospheric corrections to generate a surface-reflectance product. The U.S. Geological Survey (USGS) has adopted the LEDAPS algorithm for producing the Landsat Surface Reflectance Climate Data Record. NASA Landsat Program, 2009, Landsat TM LT40420361988080XXX01, LPGS_12.1.3, USGS, Sioux Falls, 2012-12-08T22:28:08Z.
LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Santa Barbara Coastal LTER collected on 1989-11-18
This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Santa Barbara Coastal LTER, originally collected on 1989-11-18 (18:07:29.9510810Z) by Landsat 4, row 036, path 042. Cloud cover was 0 percent. The Landsat Ecosystem Disturbance Adaptive Processing System (LEDAPS) software was originally developed by the National Aeronautics and Space Administration–Goddard Space Flight Center and the University of Maryland to produce top-of-atmosphere reflectance from Landsat Thematic Mapper and Enhanced Thematic Mapper Plus Level 1 digital numbers and to apply atmospheric corrections to generate a surface-reflectance product. The U.S. Geological Survey (USGS) has adopted the LEDAPS algorithm for producing the Landsat Surface Reflectance Climate Data Record. NASA Landsat Program, 2009, Landsat TM LT40420361989322XXX02, LPGS_12.1.3, USGS, Sioux Falls, 2012-12-08T22:39:53Z.
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