Feature layer generated from running the Derive New Locations solutions.Expression California 2022 Census Tracts where COUNTYFP is '037' California layer downloaded from https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.2022.html#list-tab-8O4HPTWAVJIGL8U0BI

Aerial image of the Bernard Field Station originated from the Claremont Colleges Digital Library (CCDL) City of Claremont History Collection. Image is for research using ArcGIS 9x. Select to download image to exhibit in ArcGIS. (for use in ArcGIS 9x)

This data is part of the series of maps that covers the whole of Australia at a scale of 1:250 000 (1cm on a map represents 2.5km on the ground) and comprises 513 maps. This is the largest scale at which published topographic maps cover the entire continent. Data is downloadable in various distribution formats.

adjacent parcels. Various information attributed omitted. Date unknown

All available bathymetry and related information for Clairmont Lake were collected and hard copy maps digitized where necessary. The data were validated against more recent data (Shuttle Radar Topography Mission 'SRTM' imagery and Indian Remote Sensing 'IRS' imagery) and corrected where necessary. The published data set contains the lake bathymetry formatted as an Arc ascii grid. Bathymetric contours and the boundary polygon are available as shapefiles.

All available bathymetry and related information for Clairmont Lake were collected and hard copy maps digitized where necessary. The data were validated against more recent data (Shuttle Radar Topography Mission 'SRTM' imagery and Indian Remote Sensing 'IRS' imagery) and corrected where necessary. The published data set contains the lake bathymetry formatted as an Arc ascii grid. Bathymetric contours and the boundary polygon are available as shapefiles.

Parcel Boundary

On the afternoon of September 11, sparks from power tools used by a Golden State Water Company Crew started a fire in the Foothill Boulevard Parkway that quickly spread into the field station. Approximately 17 acres along the Foothill frontage between Dartmouth and Mills Avenues were burned before the fire was extinguished. More information on Bernard Field Station website.

The sea level rise (SLR) coastal inundation layers were created using existing federal products: the (1) NOAA Coastal Digital Elevation Models (DEMs) and (2) 2022 Interagency Sea Level Rise Technical Report Data Files. The DEMs for the Continental United States (CONUS) are provided in North American Vertical Datum 1988 (NAVD 88) and were converted to Mean Higher High Water (MHHW) using the NOAA VDatum conversion surfaces; the elevation values are in meters (m). The NOAA Scenarios of Future Mean Sea Level are provided in centimeters (cm). The MHHW DEMs for CONUS were merged and converted to cm and Scenarios of Future Mean Sea Level were subtracted from the merged DEM. Values below 0 represent areas that are below sea level and are “remapped” to 1, all values above 0 are remapped to “No Data”, creating a map that shows only areas impacted by SLR. Areas protected by levees in Louisiana and Texas were then masked or removed from the results. This was done for each of the emissions scenarios (Lower Emissions = 2022 Intermediate SLR Scenario Higher Emissions = 2022 Intermediate High SLR Scenario) at each of the mapped time intervals (Early Century - Year 2030, Middle Century - Year 2050, and Late Century - Year 2090). The resulting maps are displayed in the CMRA Assessment Tool. County, tract, and tribal geographies summaries of percentage SLR inundation were also calculated using Zonal Statistics tools. The Sea Level Rise Scenario year 2020 is considered “baseline” and the impacts are calculated by subtracting the baseline value from each of the near-term, mid-term and long-term timeframes. General Disclaimer The data and maps in this tool illustrate the scale of potential flooding, not the exact location, and do not account for erosion, subsidence, or future construction. Water levels are relative to Mean Higher High Water (MHHW) (excludes wind driven tides). The data, maps, and information provided should be used only as a screening-level tool for management decisions. As with all remotely sensed data, all features should be verified with a site visit. Hydroconnectivity was not considered in the mapping process. The data and maps in this tool are provided “as is,” without warranty to their performance, merchantable state, or fitness for any particular purpose. The entire risk associated with the results and performance of these data is assumed by the user. This tool should be used strictly as a planning reference tool and not for navigation, permitting, or other legal purposes. SLR visualizations and statistics are not available in CMRA for Hawaii, Alaska, or U.S. territories at this time. Levees Disclaimer Enclosed levee areas are displayed as gray areas on the maps. Major federal leveed areas were assumed high enough and strong enough to protect against inundation depicted in this viewer, and therefore no inundation was mapped in these regions. Major federal leveed areas were taken from the National Levee Database. Minor (nonfederal) leveed areas were mapped using the best available elevation data that capture leveed features. In some cases, however, breaks in elevation occur along leveed areas because of flood control features being removed from elevation data, limitations of the horizontal and vertical resolution of the elevation data, the occurrence of levee drainage features, and so forth. Flooding behind levees is only depicted if breaks in elevation data occur or if the levee elevations are overtopped by the water surface. At some flood levels, alternate pathways around—not through—levees, walls, dams, and flood gates may exist that allow water to flow into areas protected at lower levels. In general, imperfect levee and elevation data make assessing protection difficult, and small data errors can have large consequences. Citations 2022 Sea Level Rise Technical Report - Sweet, W.V., B.D. Hamlington, R.E. Kopp, C.P. Weaver, P.L. Barnard, D. Bekaert, W. Brooks, M. Craghan, G. Dusek, T. Frederikse, G. Garner, A.S. Genz, J.P. Krasting, E. Larour, D. Marcy, J.J. Marra, J. Obeysekera, M. Osler, M. Pendleton, D. Roman, L. Schmied, W. Veatch, K.D. White, and C. Zuzak, 2022: Global and Regional Sea Level Rise Scenarios for the United States: Updated Mean Projections and Extreme Water Level Probabilities Along U.S. Coastlines. NOAA Technical Report NOS 01. National Oceanic and Atmospheric Administration, National Ocean Service, Silver Spring, MD, 111 pp. https://oceanservice.noaa.gov/hazards/sealevelrise/noaa-nostechrpt01-global-regional-SLR-scenarios-US.pdf

Geospatial data about Clermont County, Ohio Zoning. Export to CAD, GIS, PDF, CSV and access via API.

Geospatial data about Clermont County, Ohio Parcels. Export to CAD, GIS, PDF, CSV and access via API.

here is a good video explaining the NDVI. The normalized difference vegetation index is a simple graphical indicator that can be used to analyze remote sensing measurements, typically, but not necessarily, from a space platform, and assess whether the target being observed contains live green vegetation or not.NDVI - Normalized Difference Vegetation IndexGeneric index used for leaf coverage and plant health.(NIR − RED) / (NIR + RED)https://support.pix4d.com/hc/en-us/articles/360000891623-Generate-a-vegetation-index

The CA School Campus Database (CSCD) is a GIS data set that contains detailed outlines of the lands used by public schools for educational purposes. It includes campus boundaries of schools with kindergarten through 12th grade instruction, as well as colleges, universities, and public community colleges. Merged three school datasets together, combining the footprints of primary and secondary schools, community colleges, and universities. Dissolved all schools into one feature.

This is the Make a Map App for SoCal Earth. It has basic mapping functionality but limited ability for users to analyze data. It has three data set search engines based on SoCal Earth layers, which are tailored to Southern California, as well as ArcGIS Online and Living Atlas.

Vulnerability is the degree to which coastal habitats are susceptible to, and unable to cope with, negative impacts of sea level rise.Data Layer

Feature layer generated from running the Overlay Layers analysis tool. This Ocean Climate Index is a clip for Southern California of a composite index of change in ocean climate conditions from 1985 to 2055 based on CMIP6 model projections provided by NOAA. The original title of the layer is H3 Hexagon Level 3 Ocean Climate Index and the index/analysis is by Josh Grail. https://services.arcgis.com/bDAhvQYMG4WL8O5o/arcgis/rest/services/H3_L3_Ocean_Climate_Index_/FeatureServer

Perimeter Assessor parcels publicly available at the Los Angeles Office of the Assessor (shapefiles). The Office of the Assessor maintains assessment records of real and personal property in the County of Los Angeles. Many of these records are available for sale. The data is available in the form of CD-ROM, DVD, hardcopy, and on-line access. The Office of the Assessor also offers a GIS Tax Parcel Base Map. The cost is for time to copy files to DVD. Data shapefiles are free. Provided layer here are isolated to parcels within 1000 feet of the Bernard Field Station property

Feature layer generated from running the Overlay Layers analysis tool.

Feature layer generated from running the Overlay Layers analysis tool.

The United States House of Representatives is the lower chamber of the United States Congress. Each representative represents one congressional district. Each There are 53 congressional districts in California. This dataset includes the congressional districts in the SCAG region, as signed into law in September 2001.