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Wetland restoration efforts conducted by the Coastal Wetlands Planning, Protection, and Restoration Act (CWPPRA) in Louisiana rely on monitoring efforts to determine the efficacy of these efforts. The Coastwide Reference Monitoring System (CRMS) was developed to assist in a multiple-reference approach that uses aspects of hydrogeomorphic functional assessments and probabilistic sampling for monitoring. The CRMS program includes a suite of approximately 390 sites that encompass the range of hydrological and ecological conditions for each stratum. As part of CRMS, land and water classifications are created from Digital Orthophoto Quarter Quadrangles (DOQQs) approximately every three years at all CRMS sites. A DOQQ...
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The Louisiana State Legislature created Coastal Wetlands Planning, Protection, and Restoration Act (CWPPRA) in order to conserve, restore, create and enhance Louisiana's coastal wetlands. The wetland restoration plans developed persuant to these acts specifically require an evaluation of the effectiveness of each coastal wetlands restoration project in achieving long-term solutions to arresting coastal wetlands loss. This data set includes mosaicked aerial photographs for the Channel Armor Gap Crevasse (MR-06) project for 2016. This data set is used as a basemap land/water classification. It also serves as a visual tool for project managers to help them identify any obvious problems or land loss within their project...
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Advancing our mechanistic understanding of ecosystem responses to climate change is critical to improve ecological theories, develop predictive models to simulate ecosystem processes, and inform sound policies to manage ecosystems and human activities. Manipulation of temperature in the field, or the “ecosystem warming experiment,” has proved to be a powerful tool to understand ecosystem responses to changes in temperature. No comprehensive synthesis has been conducted since the last one more than 10 years ago. A new synthetic analysis is critically needed to advance our understanding of ecosystem responses to warming, to highlight experimental artifacts and appropriate interpretations, and to guide development...
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This part of DS 781 presents data for bathymetry for several seafloor maps of the Offshore of Point Conception Map Area, California. The vector data file is included in "BathymetryHS_OffshorePointConception.zip," which is accessible from https://doi.org/10.5066/F7QN64XQ. Shaded-relief bathymetry of the Offshore of Point Conception map area in southern California was generated largely from acoustic-bathymetry data collected by Fugro Pelagos Inc. Acoustic mapping was completed in 2008 using a combination of 400-kHz Reson 7125, 240-kHz Reson 8101, and 100-kHz Reson 8111 multibeam echosounders. Bathymetric-lidar data was collected in the nearshore area by the U.S. Army Corps of Engineers (USACE) Joint Lidar Bathymetry...
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A one-year seismic hazard forecast for the Central and Eastern United States, based on induced and natural earthquakes, has been produced by the U.S. Geological Survey. The model assumes that earthquake rates calculated from several different time windows will remain relatively stationary and can be used to forecast earthquake hazard and damage intensity for the year 2016. This assessment is the first step in developing an operational earthquake forecast for the CEUS, and the analysis could be revised with updated seismicity and model parameters. Consensus input models consider alternative earthquake catalog durations, smoothing parameters, maximum magnitudes, and ground motion estimates, and represent uncertainties...
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Crop cover maps have become widely used in a range of research applications. Multiple crop cover maps have been developed to suite particular research interests. The National Agricultural Statistics Service (NASS) Cropland Data Layers (CDL) are a series of commonly used crop cover maps for the conterminous United States (CONUS) that span from 2008-2013. In this investigation we wanted to expand the temporal coverage of the NASS CDL archive back to 2000 by creating yearly NASS CDL-like crop cover maps derived from a classification tree model algorithm. We used over 11 million crop sample records to train a classification tree algorithm and to develop a crop classification model (CCM). The model was used to create...
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This raster represents a continuous surface of sage-grouse habitat suitability index (HSI,created using ArcGIS 10.2.2) values for Nevada during the breeding season.


map background search result map search result map Spring Season Habitat Suitability Index raster dataset Modified Mercalli Intensity based on horizontal spectral response acceleration for 1.0-second period, with 1-percent probability of exceedance in 1 year for the Western United States Modeled conterminous United States Crop Cover datasets for 2012 Digital Orthorectified Aerial Image of Cottonwood Lake Study Area Wetland P3 from 1983 Digital Orthorectified Aerial Image of Cottonwood Lake Study Area Wetland T2 from 1983 Digital Orthorectified Aerial Image of Cottonwood Lake Study Area Wetland P8 from 1984 Digital Orthorectified Aerial Image of Cottonwood Lake Study Area Wetland T2 from 1984 Digital Orthorectified Aerial Image of Cottonwood Lake Study Area Wetland P1 from 18 July 1990 Digital Orthorectified Aerial Image of Cottonwood Lake Study Area Wetland P11 from 2001 Digital Orthorectified Aerial Image of Cottonwood Lake Study Area Wetland T9 from 2003 Digital Orthorectified Aerial Image of Cottonwood Lake Study Area Wetland P1 from 2005 Digital Orthorectified Aerial Image of Cottonwood Lake Study Area Wetland P4 from 2005 Digital Orthorectified Aerial Image of Cottonwood Lake Study Area Wetland T4 from 2006 Digital Orthorectified Aerial Image of Cottonwood Lake Study Area Wetlands T6 and T7 from 2011 Bathymetry hillshade--Offshore of Point Conception Map Area, California Digital Orthorectified Aerial Image of Cottonwood Lake Study Area Wetlands T4, T5, T6, and T7 from 2012 Digital Orthorectified Aerial Image of Cottonwood Lake Study Area Wetlands T8 and T9 from 2012 Coastwide Reference Monitoring System (CRMS) 2015 Site 0616 Land-Water Classification Data Channel Armor Gap Crevasse (MR-06): 2016 Land-Water Classification Digital Orthorectified Aerial Image of Cottonwood Lake Study Area Wetland P3 from 1983 Digital Orthorectified Aerial Image of Cottonwood Lake Study Area Wetland T2 from 1983 Digital Orthorectified Aerial Image of Cottonwood Lake Study Area Wetland T2 from 1984 Digital Orthorectified Aerial Image of Cottonwood Lake Study Area Wetland T4 from 2006 Digital Orthorectified Aerial Image of Cottonwood Lake Study Area Wetland T9 from 2003 Digital Orthorectified Aerial Image of Cottonwood Lake Study Area Wetland P1 from 18 July 1990 Digital Orthorectified Aerial Image of Cottonwood Lake Study Area Wetland P8 from 1984 Digital Orthorectified Aerial Image of Cottonwood Lake Study Area Wetlands T6 and T7 from 2011 Digital Orthorectified Aerial Image of Cottonwood Lake Study Area Wetland P4 from 2005 Digital Orthorectified Aerial Image of Cottonwood Lake Study Area Wetlands T4, T5, T6, and T7 from 2012 Digital Orthorectified Aerial Image of Cottonwood Lake Study Area Wetland P1 from 2005 Digital Orthorectified Aerial Image of Cottonwood Lake Study Area Wetland P11 from 2001 Digital Orthorectified Aerial Image of Cottonwood Lake Study Area Wetlands T8 and T9 from 2012 Coastwide Reference Monitoring System (CRMS) 2015 Site 0616 Land-Water Classification Data Channel Armor Gap Crevasse (MR-06): 2016 Land-Water Classification Bathymetry hillshade--Offshore of Point Conception Map Area, California Spring Season Habitat Suitability Index raster dataset Modified Mercalli Intensity based on horizontal spectral response acceleration for 1.0-second period, with 1-percent probability of exceedance in 1 year for the Western United States Modeled conterminous United States Crop Cover datasets for 2012