Polygon geometry with attributes displaying tax parcels in East Baton Rouge Parish, Louisiana. This data is updated annually and is maintained by the East Baton Rouge Parish Assessor's Office. Metadata

Open Data BR is part of a comprehensive effort to create a more effective, responsive, transparent and connected government for the City of Baton Rouge and Parish of East Baton Rouge, Louisiana.

This feature class links to the HIFLD Open Data Public Schools layer and filters by Louisiana. The source data and description can be found here: https://hifld-geoplatform.opendata.arcgis.com/datasets/public-schoolsHIFLD Open Data Portal: https://hifld-geoplatform.opendata.arcgis.com/

Orleans Parish (City of New Orleans) boundary as derived from The City of New Orleans Home Rule Charter Article I. Sec. 1-103; the State of Louisiana; and, 2016 aerial imagery. Landmass derived from 2016 aerial photography. Major waterway centerline derived from 2016 aerial photography.

The 311 Citizen Request for Service Parent Type hosted feature layer displays the last 365 days of citizen service requests in East Baton Rouge Parish, Louisiana. The data in this layer is categorized by service request parent type including:BlightCode ViolationDrainage and FloodingEnvironmentalGarbageMowing and TreeNeighborhood and SubdivisionRecyclingRoad MaintenanceSewer and WastewaterStreet and TrafficThe data includes attribute fields for applying filters such as date range, council district, neighborhood, or ZIP code.

Point geometry with attributes displaying 311 service requests in East Baton Rouge Parish, Louisiana.Data points represent open, on-going requests

This dataset contains the Delft3D model of the Terrebonne Basin along the Mississippi River Delta (MRD) in coastal Louisiana. Simulations cover the Delta-X Spring and Fall campaigns in 2021 and include hydrodynamics, waves, and sediment transport. Bottom friction was calibrated using AirSWOT water elevation data, while sediment parameters were calibrated using AVIRIS-NG Total Suspended Solids (TSS) data. All files required to run the simulations are included. The model's output of water levels, velocity, and depth-averaged sediment concentrations are provided for both campaigns as netCDF files. The dataset includes a netCDF file containing the annual inorganic mass accumulation rates derived through a storms analysis and modelling.

This dataset contains the Delft3D model of the intensive site 322 in the Terrebonne Basin along the Mississippi River Delta (MRD) in coastal Louisiana. Simulations cover the Delta-X Spring and Fall deployments in 2021 and include hydrodynamics and sediment transport. All files required to run the simulations are included. The model's output of water velocity and depth-averaged sediment concentrations are provided for both deployments. The dataset includes annual inorganic mass accumulation rates derived through modelling intra-annual variability in water levels and suspended sediment concentrations. The data are provided in netCDF and ENVI formats.

Polygon geometry with attributes displaying all electricity utility service areas in East Baton Rouge Parish, Louisiana. Information was gathered from the Louisiana Public Service Commission website at https://www.lpsc.louisiana.gov/Maps_Electric_Distribution_Areas.aspx and from the City-Parish Department of Transportation and Drainage.Metadata

Point geometry with attributes displaying public safety facilities in East Baton Rouge Parish, Louisiana.Metadata

The official street name list for East Baton Rouge Parish, Louisiana is available for viewing and downloading from Open Data BR.

This dataset provides maps of vegetation types for the Atchafalaya and Terrebonne basins in coastal Louisiana, U.S., derived from NASA's Next Generation Airborne Visible Infrared Imaging Spectrometer (AVIRIS-NG) imagery acquired during spring and fall of 2021 for the Delta-X campaign. Vegetation types were classified from Level-2B BRDF-adjusted surface reflectance. Local pixel reflectance spectra coincident with herbaceous vegetation field samples and vegetation plot data from Louisiana's Coastwide Reference Monitoring System were used to generate a machine learning-based model to classify vegetation types. This model was then applied to the AVIRIS-NG mosaic imagery to map vegetation types across the Atchafalaya and Terrebonne Basins. The data are provided in cloud optimized GeoTIFF (COG) format.

Polygon geometry with attributes displaying boundaries of the Louisiana House of Representative districts in East Baton Rouge Parish, Louisiana.Metadata

File Geodatabase - Click hereShapefile - Click hereThis dataset contains current parcel boundaries and related attributes for approximately 2.4 million parcels maintained by the Los Angeles County Assessor (updated monthly on the second of every month). Due to the size of the data, it is only available for download as a zipped file geodatabase or shapefile at this time. For additional annual assessment roll history and attribute metadata descriptions, please visit the L.A. County Open Data Portal and search for Assessor. To better understand individual data elements, or to interactively view individual parcel information, please visit the Assessor’s Portal. A public-facing parcel map cache can be accessed here (updated weekly): https://public.gis.lacounty.gov/public/rest/services/LACounty_Cache/LACounty_Parcel/MapServer/0All inquiries should be directed to the Mapping & GIS Services Section, LA County Office of the Assessor at gisinfo@assessor.lacounty.gov

The CAGES program (Comparative Assessment of Gulf Estuarine Systems) is designed to examine the differences between estuarine ecosystems and investigate why some are more productive than others. The program focuses on estuarine areas important to commercial fisheries and includes data on commercial finfish and invertebrate species, as well as other species commonly captured in trawl sampling. This Louisiana dataset is a subset of the CAGES Relational Database which is a compilation of fishery-independent data contributed by natural resource agencies of the Gulf States (Texas, Louisiana, Mississippi, Alabama, and Florida). This data set includes data from trawls collected by the Alabama Department of Conservation and Natural Resources (ADCNR) and Gulf Coast Research Laboratory (GCRL), as well as associated hydrographic data. Trawl data were used to calculate CPUE (catch per unit effort) at each station for the years 1981 through 2007.

This dataset provides estimates of land subsidence rates for the Delta-X domain area within the Atchafalaya and Terrebonne basins for 2021. The study area is a portion of the Mississippi River Delta in coastal Louisiana, U.S. The total subsidence is calculated as the sum of deep and shallow vertical elevation change rates. The deep subsidence rate is based on information from the Coastal Protection and Restoration Authority (CPRA) of Louisiana, documented in the Phase-4 subsidence trend report prepared for and provided by CPRA (2022). The shallow subsidence is calculated for the Delta-X study area by interpolation of publicly available data provided by CPRA for their coast-wide estimation of shallow subsidence in the 2023 Coastal Master Plan. The total subsidence rates and the estimated uncertainty in the total subsidence rates are provided as separate files in cloud optimized GeoTIFF (COG) format at 30-m (0.0003 decimal degrees) resolution.

This dataset contains water surface elevations collected from boat surveys performed on August 24 and September 22-25, 2021, across the Atchafalaya and Terrebonne basins in the Mississippi River Delta (MRD) floodplain, during the Delta-X Fall 2021 deployment. To perform the surveys, a Global Navigation Satellite System (GNSS) antenna (Septentrio receiver) was mounted on the side of the boat on a pole directly above the depth sounder. This GNSS antenna recorded observations of elevation continuously at 1 Hz on all field days. These data were post-processed using precise point positioning (PPP) and converted to water surface elevation by subtracting the height of the antenna above the water surface when it was mounted on the boat to provide an estimate of water surface elevation.The data are limited to times when the boat was moving slowly enough such that its speed didn't affect the height of the antenna above the water. The data are provided in comma-separated values (CSV) format.

HPMS compiles data on highway network extent, use, condition, and performance. The system consists of a geospatially-enabled database that is used to generate reports and provides tools for data analysis. Information from HPMS is used by many stakeholders across the US DOT, the Administration, Congress, and the transportation community.

This dataset provides grain size distribution measurements collected from sediment core samples on Mike Island in the Wax Lake Delta, Louisiana, as part of the Delta-X Spring campaign in March, 2021,and the Fall campaign during August, 2021. The data are for March 26 and 29, and August 18 and 24. Sediment cores were collected using a piston core, then volume-based grain size distribution for each sample was measured using a laser diffraction particle size analyzer. The data are provided in comma separated values (CSV) format.

This dataset contains georeferenced InSAR-derived water level change maps for Delta-X flight lines acquired during the spring (2021-03-27 to 2021-04-18) and fall (2021-09-03 to 2021-09-13) deployments. Water-level change observations are provided throughout wetlands of the Atchafalaya and Terrebonne Basins, in Southern Louisiana, USA, within the Mississippi River Delta (MRD). The data were collected by Uninhabited Aerial Vehicle Synthetic Aperture Radar (UAVSAR), a polarimetric L-band synthetic aperture radar flown on the NASA Gulfstream-III (C20) aircraft as part of the Delta-X campaign. Water surface elevations were measured on multiple flights at 30-minute intervals. There are three types of gridded products available: temporalcoherence (which provide an index measuring quality of phase unwrapping ranging from 0 (poor) to 1 (correctly unwrapped)), waterlevelchange in centimeters (which provide cumulative changes in water levels at approximately 30-minute intervals), and waterlevelchange_ramp in centimeters (which provide a 2-dimensional linear trend in water-level estimates not related to changing water levels). The water-level change maps were estimated using the phase unwrapping corrected interferograms generated for nearest-neighbor (NN), NN+1, and NN+2 pairs for data acquired within a single flight (one day). This analysis was done for all flight lines. Water level changes are relative to the first sampling flight for that study area. Data quality was assessed by comparing water elevation estimates with data from in situ water level gauges throughout the study area. A series of quality assurance masks of troposphere-induced phase delay regions were generated for all SAR acquisition dates using a weather feature matching algorithm.