california wildfire dataset csv

AppEEARS, available throughNASA's Land Processes Distributed Active Archive Center (LP DAAC), offers a simple and efficient way to access and transform geospatial data from a variety of federal data archives. Note that an Earthdata Login is required to download data from Earthdata Search. Historical California Wildfire Data The California Department of Forestry and Fire Protection (CAL FIRE) maintains historical data about wildfires in California, available for download. You have JavaScript disabled. All wildfires have the attributes of originaldatasource or sources that contain the polygon, additional names, codes, and dates that may be associated with the wildfire polygon. Ca.gov homepage. Although, recently, researchers have introduced machine learning models and . This map feeds into a web app Incorporating satellite data with in-situ data (ground-based measurements) into modeling programs makes for an even more robust forecasting system. Secure .gov websites use HTTPS Welty, J.L., and Jeffries, M.I., 2020, Combined wildfire datasets for the United States and certain territories, 1878-2019: U.S. Geological Survey data release, https://doi.org/10.5066/P9Z2VVRT. From the available datasets, you can specify a date and then select from MODIS Sinusoidal Projection or Geographic Lat/Long. FIRMS makes URT data available in less than 60 seconds of satellite fly over for much of the US and Canada X - x-axis spatial coordinate within the Montesinho park map: 1 to 9 2. Along with their destructive power, they also are a vital component of forest growth, ecological succession, and soil nutrient enhancement. Menu. Whenever possible, the following attributes were associated with these fires: fire name, fire code, ignition date, controlled date, containment date, and fire cause. Two previous fires were modified, the 1994 Steckel fire was deleted and the two 1979 Hernadez were merged into one fire. This is the third update of a publication originally generated to support the national Fire Program Analysis (FPA) system. With the Global Subset Tool, you can request a subset for any location on Earth and receive this subsetas GeoTIFF and in text format, including interactive time-series plots and more. coordinating forest fuels reduction and species conservation issues. You can filter the list by the topic categories in the menu at the . Are you sure you want to create this branch? Processes occurring deep within Earth constantly are shaping landforms. The Wildland Fire Interagency Geospatial Services (WFIGS) Group provides authoritative geospatial data products under the interagency Wildland Fire Data Program. These datasets are generally restricted to specific locations, fire sizes, or time periods. The list includes information of each wildfire in California includes : There is a map available showing current wildfires perimeters and locations, some of the maps include building footprints for the most destructive wildfires. The CAL FIRE Forest Health Research Program supports scientific studies that provide critical information and tools to forest landowners, resource agencies, fire management organizations and policy makers across California on a variety of topics related to forest health and management. 512-523, 2007. About Dataset This dataset is based on NADA MODIS satellite NRT near realtime data. The Department of Forestry and Fire Protection (CAL FIRE) makes no. Work fast with our official CLI. ORNL DAAC's SDAT is an Open Geospatial Consortium standards-based web application to visualize and download spatial data in various user-selected spatial/temporal extents, file formats, and projections. Speckle is the grey level variation that occurs between adjacent resolution cells, and createsa grainy texture. https://gis.data.ca.gov/datasets/CALFIRE-Forestry::california-fire-perimeters-1/data?geometry=-151.022%2C31.426%2C-87.741%2C43.578&layer=0, https://gis.data.ca.gov/datasets/8713ced9b78a4abb97dc130a691a8695_0?geometry=-150.643%2C31.049%2C-87.361%2C43.258. Each input feature is renamed with a unique AppEEARS ID (AID). If nothing happens, download Xcode and try again. Upon selection, the map service will open displaying the various measurementswith the associated granuleand a visualization of the selected granule. The Wildland Fire Interagency Geospatial Services (WFIGS) Group provides authoritative geospatial data products under the interagency Wildland Fire Data Program. Updated on April 29, 2023. that allows a user to examine the known status of structures damaged by the flooding. 1979 - Sylvandale (HUU), Kiefer (AEU), Taylor (TUU), Parker#2 (TCU), PGE#10, Crocker (SLU), Silver Spur (SLU), Parkhill (SLU), Tar Springs #2 (SLU), Langdon (SCU), Truelson (RRU), Bautista (RRU), Crocker (SLU), Spanish Ranch (SLU), Parkhill (SLU), Oak Springs (BDU), Ruddell (BDF), Santa Ana (BDU), Asst. Official websites use .gov Note: An. Complete accounting of all incorporated cities, including the boundary and name of each individual city. Thesedatado not depict all wildfires that have occurred in the U.S. since 1878 but only those from the contributingdatasources with a documented fire year. TheSoil Moisture Visualizer tool at NASA's Oak Ridge National Laboratory DAAC (ORNL DAAC)integrates in-situ, airborne, and remote sensingdata from a variety of soil moisture datasets covering North Americainto an easy-to-use platform(read more about this toolat Soil Moisture Data Sets Become Fertile Ground for Applications). Coming soon: RT and URT data as part of the CSV, ShapeFile and KML/KMZ Active Fire downloads NASA EOSDIS defines Real-Time as data that is made available within 60 minutes of satellite overpass. recalls.csv (20.69 MB) get_app. Five hundred wildfires from the 2020 fire season were added to the database (12 from NPS, 277 from CAL FIRE, 76 from USFS, 37 from BLM, 3 other). The NICC report notes that wildfires destroyed almost 6,000 structures in 2021, including 3,577 residences, 2,225 minor structures, and 237 commercial or mixed residential structures. Additionally, NASA datasets are not official indicators for SDG monitoring and decision-making but are complementary. Please upvote if this dataset is helpful. . Conducted every seven years, the Forest and Rangeland Assessment links together state requirements for natural resource inventories and strategies, and the federal government's desire to rely more heavily on these state programs in determining priorities for funding. Be sure to check out the AppEEARS documentation to learn more about downloading the output GeoTIFF or NetCDF-4 files. To facilitate comparison, this meta data includes a summary, by year of fires in the Redbook that do not appear in this fire perimeter dataset. Along with viewing data, Panoply offers additional functionality,such as slicing and plotting arrays, combining arrays, and exporting plots and animations. Attributes describing fires that were reported in the various source data, including fire name, fire code, ignition date, controlled date, containment date, and fire cause, were []. This is a harvest of the CAL FIRE section in the CNRA open data portal. You also canspecify a map projection in the processing parameters. A guide produced by the Climate Hazards Center, University of California Santa Barbara, provides tutorials for using this tool. Two types of sample requests are available: After choosing to request an area extraction, you will be taken to the Extract Area Sample page where you will specify a series of parameters that are used to extract data for your area(s) of interest. It is the third update of a publication originally generated to support the national Fire Program Analysis (FPA) system. A list of available products matching your query will be generated. The site suitability criteria included in the techno-economic land use screens are listed below. This is a harvest of the CAL FIRE section in the CNRA open data portal. California WildFires (2013-2020) | Kaggle menu Skip to content explore Home emoji_events Competitions table_chart Datasets tenancy Models code Code comment Discussions school Learn expand_more More auto_awesome_motion View Active Events search Sign In Register Once your request is completed:From the Explore Requests page, click the View icon in order to view and interact with your results. All measurements are volumetric soil moisture. DC - DC index from the FWI system: 7.9 to 860.6 8. This database was designed in response to the DirectorMemorandum- "Effective January 1, 2019 all structure greater than 120 square feet in the State Responsibility Area Local fire district data obtained from fire departments, cities, counties, and other state entities. SAR is an active sensor that can penetrate cloud cover and vegetation canopy, and also observe at night. Once you have downloaded the needed SAR data, the datamust be calibrated to account for distortion. fullscreen. To continue using Data Basin, use your browser tools to enable JavaScript and then refresh this page. The acreage estimation of the fire is somewhat higher than what is reported elsewhere, possibly due to the low resolution (1km) sampling of the dataset. While there is a file on prescribed burns, we will only be looking at the wildfire history file. Those two files can be found at the links below. (2023-04-27 10:38), Forest and Rangeland Ecosystem Science Center (FRESC), Combined wildfire datasets for the United States and certain territories, 1878-2019, Combined wildland fire datasets for the United States and certain territories, 1800s-Present, https://www.sciencebase.gov/vocab/category/item/identifier, __disk__99/b0/ed/99b0ed6b58aed771004d31525281bd0e2b75dda3, __disk__fe/7d/84/fe7d843b047231e9d182f55e9fb3fd146009e005. With the Web Service, you can retrieve subset data (in real-time) for any location(s), time period, and area programmatically using a REST web service. GitHub Gist: instantly share code, notes, and snippets. The atmosphere is a gaseous envelope surrounding and protecting our planet from the intense radiation of the Sun and serves as a key interface between the terrestrial and ocean cycles. NASAs datasets are organized by topics that help users to locate, access, and apply relevant and complementary datasets for each SDG. In effect, the SVM model predicts better small fires, which are the majority. A .gov website belongs to an official government organization in the United States. Making NASA's free and open Earth science data interactive, interoperable, and accessible for research and societal benefit both today and tomorrow. that allows a user to examine the known status of structures damaged by the flooding. This dataset contains California child population (0-17) and children with child maltreatment allegations, substantiations, and entries. While Giovanni provides many options for analysis, the following are the more popular ones: The NASAWorldviewdata visualization application provides the capability to interactively browse more than 1,000 global, full-resolution satellite imagery layers and then download the underlying data. Get this Dataset Dataset Metadata Dataset Archive Contents Use the Dataset (ORC), Canel (local), Rattlesnake (BDF), 1985 - Hidden Valley, Magic (LNU), Bald Mt. Forest Fires Data Set Download: Data Folder, Data Set Description Abstract: This is a difficult regression task, where the aim is to predict the burned area of forest fires, in the northeast region of Portugal, by using meteorological and other data (see details at: [Web Link] ). From 2009 to 2022 CAL FIRE maintained this dataset by processing and Use this app to examine the known status of structures damaged by the flooding. The fire perimeter and prescribed fire feature service provides a reasonable view of the spatial distribution of past fires. The Medicino Fire near Ukiah was the largest fire in California history, and is clearly seen on the below map. These remotely sensed Earth observations provide consistent and continuous information on the state of Earth processes and their change over time. APPIA, ISBN-13 978-989-95618-0-9. This fixesgeometric distortionsdue to slant range, layover, shadow, and foreshortening. Knowing the polarization from which a SAR image was acquired is important, as signals at different polarizations interact differently with objects on the ground andaffectthe recorded radar brightness in a specific polarization channel. In J. Neves, M. F. Santos and J. Machado Eds., New Trends in Artificial Intelligence, Proceedings of the 13th EPIA 2007 - Portuguese Conference on Artificial Intelligence, December, Guimares, Portugal, pp. You need to be signed in to access your workspace. to use Codespaces. The visualizer alsoprovides data sources for download. This is not the case when using data from active sensors, which send out a signal and measure the intensity ofthe returned signal. included in the techno-economic land use screens are listed below. If you have specific questions about how to use data, tools, or resources mentioned in this Data Pathfinder, please visit the Earthdata Forum. Data Basin depends on JavaScript to do it's job. It is critical for maintaining species diversity, regulating climate, and providing numerous ecosystem functions. If GeoTIFF is selected, one GeoTIFF will be created for each feature in the input vector polygon file for each layer by observation. Your workspace is your dashboard for accessing and managing your content, bookmarks, and groups, as well as viewing messages and seeing your recently viewed content. The details are described in [Cortez and Morais, 2007]. Note that an Earthdata Login is required to use Giovanni. This dataset contains files and materials in support of the California's Groundwater Live website. This dataset contains key characteristics about the data described in the Data Descriptor A global wildfire dataset for the analysis of fire regimes and fire behaviour. Provided by CEC Land-Use Planning office. You can reformat the data and output as HDF, NetCDF, ASCII, KML, or a GeoTIFF. Wildfire statistics provided by the National Interagency Fire Center (NIFC) are available from January 2000March 2023 for the Contiguous U.S. CSV JSON XML Timescale: 1-Month 3-Month Year-to-Date Month: January February March April May June July August September October November December All Months Subset the data by zooming in to the area of interest and right-clicking on "Spatial Subset from View.". In [Cortez and Morais, 2007], the output 'area' was first transformed with a ln(x+1) function. Upload a vector polygon file in shapefile format (you can upload a single file with multiple features or multipart single features). If NetCDF-4 is selected, outputs will be grouped into .nc files by product and by feature. The wildfire records were acquired from the reporting systems of federal, state, and local fire organizations. It also facilitates exploratory analysis and data discovery for different groups of users. Fire20_1 was released in April, 2021. Many Git commands accept both tag and branch names, so creating this branch may cause unexpected behavior. Naturally occurring wildfires can be nearly as impossible to prevent, and as difficult to control, as hurricanes, tornadoes, and floods. Recognizing the connections between interdependent Earth systems is critical for understanding the world in which we live. CSV GeoJSON ZIP KML California Local Fire Districts Local fire district data obtained from fire departments, cities, counties, and other state entities. Users can subscribe to email alerts bases on their area of interest. Worldview now includes nine geostationary imagery layers from the GOES-East, GOES-West,and Himawari-8 geostationary satellites that areavailable at 10-minute increments for the last 30 days. A Data Mining Approach to Predict Forest Fires using Meteorological Data. NASA provides datasets and tools for assessing and managing wildfires before, during, and after an event. ISI - ISI index from the FWI system: 0.0 to 56.10 9. temp - temperature in Celsius degrees: 2.2 to 33.30 10. If low-latency is not a primary concern, users are encouraged to use standard science products, which are produced using the best available calibration, ancillary, and ephemeris information. The California Department of Forestry and Fire Protection's Fire and Resource Assessment Program (FRAP) assesses the amount and extent of California's forests and rangelands, analyzes their conditions and identifies alternative management and policy guidelines. Another important parameter to considerwhen choosing a SAR dataset is the polarization, or the direction in which the signal is transmitted or received: horizontally or vertically. Click here to see the full XML file that was originally uploaded with this layer. For further information on SAR flood inundation mapping, see the NASA Alaska Satellite Facility DAAC (ASF DAAC)flood inundation recipes for QGIS or ArcGIS. Wildfires emitted 1.76 billion metric tonnes (equivalent to more than 1.9 billion tons) of carbon globally in 2021, according to data from the European Union's Copernicus Atmosphere Monitoring Service. If your feature contains attribute table information, you can view the feature attribute table data by clicking on the Information icon to the right of the Feature dropdown. The Wildland Fire Interagency Geospatial Services (WFIGS) Group provides authoritative geospatial data products under the interagency Wildland Fire Data Program. Rapid processing of raw satellite data also enable events to be monitored in near-real time, allowing for a faster response. URT is much quicker than that. Some of these datasets are available through NASA's Land, Atmosphere Near real-time Capability for EOS (LANCE). Several datasets including land cover, biophysical properties, elevation, and selected ORNL DAAC archived data are available through SDAT. Our first objective was to create a comprehensive national wildfire perimeter dataset by combining all freely available wildfire datasets that we could download. These full disk hemispheric views allow for almost real-time viewing of changes occurring around most of the world. KMZ files are also provided for data visualization in Google Earth. Usability. Download National Datasets. It includes sites from networks such as NEON, ForestGeo, PhenoCam, and LTER that are of relevance to the biodiversity community. Backgrounder provides a good overview. [Cortez and Morais, 2007] P. Cortez and A. Morais. Active Fire Data Download Near real-time MODIS (C6), VIIRS (375 m) and LANDSAT (30m) active fire data using the tables below. All datasets. ZIP CSV XLSX COVID-19 Vaccine Progress Dashboard Data Note: On March 3, 2023, with the release of HPI 3.0 in 2022, the previous equity scores have been updated to reflect more recent community survey information. The dataset contains the list of Wildfires that has occurred in California between 2013 and 2020. The cryosphere encompasses the frozen parts of Earth, including glaciers and ice sheets, sea ice, and any other frozen body of water. SAR data are very complex to process;however, ESA has developed a Sentinel-1 Toolbox to aid with processing and analysis of Sentinel-1 data. Whereas the Baseball DataBank data are stored in csv files, the California Wildfire data are in an excel spreadsheet, but we can use a similar pandas function to read it in. This database was designed in response to the DirectorMemorandum- "Effective January 1, 2019 all structure greater than 120 square feet in the State Responsibility Area Local fire district data obtained from fire departments, cities, counties, and other state entities. Specify the range of dates for which you wish to extract data by entering a start and end date (MM-DD-YYYY) or by clicking on the Calendar icon and selecting dates a start and end date in the calendar. Explore the full list on the NASA Earthdata Data Tools page. Description: Version Information: The data is updated yearly with fire perimeters from the previous fire season. Description: API endpoint Dataset Name. But wildfires also have a human component. With satellite data, comparisons can be made using pre-event and post-event imagery, providing information on smoke and ash transport, burn severity, vegetation loss, andmore. Surface soil moisture is the daily average of measurements at 05 cm depth, and root zone soil moisture (RZSM) is the daily average of measurements at 0100 cm depth. In addition to the polygondata, thedataset also contains summary rasters displaying a count of the number of times each pixel burned, the first year burned, and the most recent year burned. The biosphere encompasses all life on Earth and extends from root systems to mountaintops and all depths of the ocean. The Layer Stats plot provides time series boxplots for all of the sample data for a given feature, data layer, and observation. If nothing happens, download GitHub Desktop and try again. ***This data set is superseded by Welty, J.L., and Jeffries, M.I., 2021, Combined wildland fire datasets for the United States and certain territories, 1800s-Present: U.S. Geological Survey data release, https://doi.org/10.5066/P9ZXGFY3. read more. . View a schedule of upcoming webinars and events, as well as videos of past webinars. In California, water systems serving one (1) to 15 households are regulated at the county level. Within the Toolbox, speckle can be removed by selecting "Radar/Speckle Filtering/Single Product Speckle Filter" and then choosing a type of filter; "Lee" is one of the most common. Pipe DWR continuous groundwater level measurements contains continuous time-series data from automated recorders at sites operated by the Department of Water Resources. (MVU), Vail (CNF), 1990 Shipman (HUU), Lightning 379 (LMU), Mud, Dye (TGU), State 914 (RRU), Shultz (Yorba) (BDU), Bingo Rincon #3 (MVU), Dehesa #2 (MVU), SLU 1626 (SLU), 1992 Lincoln, Fawn (NEU), Clover, fountain (SHU), state, state 891, state, state (RRU), Aberdeen (BDU), Wildcat, Rincon (MVU), Cleveland (AEU), Dry Creek (MMU), Arroyo Seco, Slick Rock (BEU), STF #135 (TCU), 1993 Hoisington (HUU), PG&E #27 (with an undetermined cause, lol), Hall (TGU), state, assist, local (RRU), Stoddard, Opal Mt., Mill Creek (BDU), Otay #18, Assist/ Old coach (MVU), Eagle (CNF), Chevron USA, Sycamore (FKU), Guerrero, Duck, 1994 Schindel Escape (SHU), blank (PNF), lightning #58 (LMU), Bridge (NEU), Barkley (BTU), Lightning #66 (LMU), Local (RRU), Assist #22 & #79 (SLU), Branch (SLO), Piute (BDU), Assist/ Opal#2 (BDU), Local, State, State (RRU), Gilman fire 7/24 (RRU), Highway #74 (RRU), San Felipe, Assist #42, Scissors #2 (MVU), Assist/ Opal#2 (BDU), Complex (BDF), Spanish (SBC), 1995- State 1983 acres, Lost Lake, State # 1030, State (1335 acres), State (5000 acres), Jenny, City (BDU), Marron #4, Asist #51 (SLO/VNC), 1996 - Modoc NF 707 (Ambrose), Borrego (MVU), Assist #16 (SLU), Deep Creek (BDU), Weber (BDU), State (Wesley) 500 acres (RRU), Weaver (MMU), Wasioja (SBC/LPF), Gale (FKU), FKU 15832 (FKU), State (Wesley) 500 acres, Cabazon (RRU), State Assist (aka Bee) (RRU), Borrego, Otay #269 (MVU), Slaughter house (MVU), Oak Flat (TUU), 1997 - Lightning #70 (LMU), Jackrabbit (RRU), Fernandez (TUU), Assist 84 (Military AFV) (SLU), Metz #4 (BEU), Copperhead (BEU), Millstream, Correia (MMU), Fernandez (TUU), 1998 - Worden, Swift, PG&E 39 (MMU), Chariot, Featherstone, Wildcat, Emery, Deluz (MVU), Cajalco Santiago (RRU), 1999 - Musty #2,3 (BTU), Border # 95 (MVU), Andrews, Roadside 9323 (MMU), Lacy (BDU), Range (SCU), 2000 - Latrobe (AEU), Shell (SLU), Happy Camp (Inyo), Golden Fire (BDU), 2001 - Pacheco (MMU), Orosco (CNF/MVU), Observation (LNF), Modoc Complex (LMU), Happy Camp Complex (SKU), 2002 - Nicholas (MMU), Aliso Assist #73 (MVU), Assist, Leona, Williams (BDU), BLM D596, horse complex (LMU), KNF Assist #15 (SKU), Cajalco Evening State 925 (RRU), Airport, Bouquet, Copper, Inyo Complex (BDU), 2003 - F.K.U. However, this is not the case in other countriesand even in some of the more remote areas of the U.S. Data acquired by sensors aboard satellitesprovide local, regional, and globalcoverage and areuseful for observing areas that are inaccessible. This dataset is comprised of four different zip files. In the project area, for some datasets, you can customize your granule. A Gaussian support vector machine (SVM) fed with only 4 direct weather conditions (temp, RH, wind and rain) obtained the best MAD value: 12.71 +- 0.01 (mean and confidence interval within 95% using a t-student distribution). More about Data Basin. California Fire Perimeters (CALFIRE; 1878 - 2020). . Wildfires are an essential process connecting terrestrial systems to the atmosphere and climate, and are an integral component of ecological succession, plant germination, and soil enhancement. 512-523, 2007. Find and use NASA Earth science data fully, openly, and without restrictions. These targets provide a blueprint for developing a more sustainable global future. . New and Recent Datasets. The Fire and Resource Assessment Program compiles and. The U.S.is fortunate to have numerous ground-based measurements for assessing a wide range of environmental variables, including water storage, precipitation, particulate matter, and more. This data displays fire perimeters dating back to 1878 up till the last calendar year, 2019 in California. Click on title to download individual files attached to this item. NASA data provide key information on land surface parameters and the ecological state of our planet. The passage of the Sustainable Groundwater Management Act (SGMA) in 2014 set forth a statewide framework to help protect groundwater resources over the long-term. Dismiss page alert. Five hundred wildfires from the 2020 fire season were added to the database (12 from NPS, 277 from CAL FIRE, 76 from USFS, 37 from BLM, 3 other). Paulo Cortez, pcortez '@' dsi.uminho.pt, Department of Information Systems, University of Minho, Portugal. NASA provides numerous datasets, tools, and other resources that can be used to investigate, track, and assess wildfires, all of which are available without restriction under NASA's open data policy. Downscaled climate grids at 30m for a variety of bioclimatic variables over t i07 Water Shortage Vulnerability Small Water Systems, About California Natural Resources Agency Open Data. To use the visualizer, select a dataset of interest under Data. Enter the product short name (e.g., MOD09A1, ECO3ETPTJPL), keywords from the product long name, a spatial resolution, a temporal extent, or a temporal resolution into the search bar. Large wildfire data scraped from CAL FIRE. The fire perimeter and prescribed fire feature service provides a reasonable view of the spatial distribution of past fires. These are raster datasets developed in 2018 to support the California Assessment of Forest and Rangelands. The 2020 Crop Mapping dataset has been updated as of March 2023. The 5 datasets to predict wildfire for Australia in February 2021. Official website of the State of California. Click here to see the full FGDC XML file that was created in Data Basin for this layer. Over the years, rampant wildfires have plagued the state of California, creating economic and environmental loss. Source: (BEU), Dutch Kern #30 (KRN), 1987- Peach (RRU), Ave 32 (TUU), Conover (RRU), Eagle #1 (LNU), State 767 aka Bull (RRU), Denny (TUU), Dog Bar (NEU), Crank (LMU), White Deer (FKU), Briceburg (LMU), Post (RRU), Antelope (RRU), Cougar-I (SKU), Pilitas (SLU) Freaner (SHU), Fouts Complex (LNU), Slides (TGU), French (BTU), Clark (PNF), Fay/Top (SQF), Under, Flume, Bear Wallow, Gulch, Bear-1, Trinity, Jessie, friendly, Cold, Tule, Strause, China/Chance, Bear, Backbone, Doe, (SHF) Travis Complex, Blake, Longwood (SRF), River-II, Jarrell, Stanislaus Complex 14k (STF), Big, Palmer, Indian (TNF) Branham (BLM), Paul, Snag (NPS), Sycamore, Trail, Stallion Spring, Middle (KRN), SLU-864. This requires a digital elevation model (within the processing parameters, SRTM is the default selection). This feature class includes water shortage vulnerability indicators and scores from an analysis done by CA Department of Water Resources Small Water System boundaries pulled California Department of Forestry and Fire Protection (4941), California Department of Fish and Wildlife (1258), California Department of Water Resources (479), National Oceanic and Atmospheric Administration (151), California Department of Conservation (73), earth-science--oceans--ocean-temperature--water-temperature (12777), Integrated Ocean Observing System (10011), Open Data Commons Attribution License (4), WDL Ground Surface Displacement - Land Subsidence Monitoring, Continuous Groundwater Level Measurements, Groundwater Sustainability Plan Annual Report Data, California's Groundwater Live Supporting Data, i03 Groundwater Sustainability Plan Areas MapService, Recent Large Fire Perimeters (>=5000 acres), i08 GroundwaterStations EnterpriseWaterManagement. Open the .zip file from within the Sentinel Toolbox. MAP HTML CSV GeoJSON ZIP KML California Incorporated Cities View Well Finder. Abstract: This is a difficult regression task, where the aim is to predict the burned area of forest fires, in the northeast region of Portugal, by using meteorological and other data (see details at: [Web Link]). The Department of Forestry and Fire Protection (CAL FIRE) makes no. You will find both USA and California daily wildfire details in this dataset from 2000 - March 25th 2022.
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