In this course, you will explore a variety of open-source technologies for working with geosptial data, performing spatial analysis, and undertaking general data science. The first component of the class focuses on the use of QGIS and associated technologies (GDAL, PROJ, GRASS, SAGA, and Orfeo Toolbox). The second component of the class introduces Python and associated open-source libraries and modules (NumPy, Pandas, Matplotlib, Seaborn, GeoPandas, Rasterio, WhiteboxTools, and Scikit-Learn) used by geospatial scientists and data scientists. We also provide an introduction to Structured Query Language (SQL) for performing table and spatial queries. This course is designed for individuals that have a background in GIS, such as working in the ArcGIS environment, but no prior experience using open-source software and/or coding. You will be asked to work through a series of lecture modules and videos broken into several topic areas, as outlined below. Fourteen assignments and the required data have been provided as hands-on opportunites to work with data and the discussed technologies and methods. If you have any questions or suggestions, feel free to contact us. We hope to continue to update and improve this course. This course was produced by West Virginia View (http://www.wvview.org/) with support from AmericaView (https://americaview.org/). This material is based upon work supported by the U.S. Geological Survey under Grant/Cooperative Agreement No. G18AP00077. The views and conclusions contained in this document are those of the authors and should not be interpreted as representing the opinions or policies of the U.S. Geological Survey. Mention of trade names or commercial products does not constitute their endorsement by the U.S. Geological Survey. After completing this course you will be able to: apply QGIS to visualize, query, and analyze vector and raster spatial data. use available resources to further expand your knowledge of open-source technologies. describe and use a variety of open data formats. code in Python at an intermediate-level. read, summarize, visualize, and analyze data using open Python libraries. create spatial predictive models using Python and associated libraries. use SQL to perform table and spatial queries at an intermediate-level.

This dataset holds all materials for the Inform E-learning GIS course

In this course, you will explore the concepts, principles, and practices of acquiring, storing, analyzing, displaying, and using geospatial data. Additionally, you will investigate the science behind geographic information systems and the techniques and methods GIS scientists and professionals use to answer questions with a spatial component. In the lab section, you will become proficient with the ArcGIS Pro software package.

This course will prepare you to take more advanced geospatial science courses.

You will be asked to work through a series of modules that present information relating to a specific topic. You will also complete a series of lab exercises, assignments, and less guided challenges. Please see the sequencing document for our suggestions as to the order in which to work through the material. To aid in working through the lecture modules, we have provided PDF versions of the lectures with the slide notes included. This course makes use of the ArcGIS Pro software package from the Environmental Systems Research Institute (ESRI), and directions for installing the software have also been provided. If you are not a West Virginia University student, you can still complete the labs, but you will need to obtain access to the software on your own.

DEP's Certification & Restoration Program currently licenses water and wastewater treatment plant operators and water distribution system operators throughout Florida. Obtaining one of these licenses is a prerequisite to obtaining employment as a plant operator.See Metadata for contact information.

Our Certification & Restoration Program currently licenses water and wastewater treatment plant operators as well as water distribution plants throughout Florida. Obtaining one of these licenses is a prerequisite to obtaining employment as a plant operator, excluding owner-operators.See Metadata for contact information.

I’d love to begin by saying that I have not “arrived” as I believe I am still on a journey of self-discovery. I have heard people say that they find my journey quite interesting and I hope my story inspires someone out there.I had my first encounter with Geographic Information System (GIS) in the third year of my undergraduate study in Geography at the University of Ibadan, Oyo State Nigeria. I was opportune to be introduced to the essentials of GIS by one of the prominent Environmental and Urban Geographers in person of Dr O.J Taiwo. Even though the whole syllabus and teaching sounded abstract to me due to the little exposure to a practical hands-on approach to GIS software, I developed a keen interest in the theoretical learning and I ended up scoring 70% in my final course exam.

Hi, I'm Patrick,I initially pursued an undergraduate degree in Computer Science because I wanted to make video games; however, after taking an Environmental Science course, I wanted to see if there was a way I could study both. This led me to GIS and I made that my specialism, doing a Masters and later PhD on the subject.

EGLE administers the statewide Michigan Green Schools certification program. The program is dedicated to assisting all Michigan schools public and private achieve environmental goals that include protecting the air, land, water and animals of our state along with world outreach through good ecological practices and the teaching of educational stewardship of students pre-kindergarten through high school.A school is eligible to receive a Green School, Emerald School, or Evergreen School Environmental Stewardship Designation if the school or students perform the required number of activities, with a minimum of two activities from each of the four categories. The activity requirements for each level of environmental stewardship designation are as follows:Fields included in this dataset are:SchoolName: The name of the school.SchoolCity: The city that the school is in.SchoolCounty: The county that the school is in.CountyCoordName: The name of the county coordinator that approved the schoolCertificationLevel: The Green Schools certification level achieved based on number of activities achieved.Green: 10 total activities with at least two activities from each of the four categories.Emerald: 15 total activities with at least two activities from each of the four categories.Evergreen: 20 total activities with at least two activities from each of the four categories.Awaiting Final Result: Macomb County has not sent the final certification levels to the State of Michigan.Please visit EGLE's Green School site for more information and direct questions to Sam Lichtenwald, EGLE's Michigan Green Schools Coordinator, at LichtenwaldS@Michigan.gov.

Feature class MO_Fascia_Riassetto_Saccione — Information layer of the river tray in the Saccione basin as defined in Article 7 of the Plan Standards (“the set of areas within which the characteristic flow rates of a water course can be safely flowed, including those relating to extreme events and events with a return time of 200 years, by the realisation of all the works necessary for the final development of the watercourse as provided for in this Plan, depending on the restoration of an adequate hydraulic section, the realisation of rolling operations, the environmental upgrading of the water course, the defence of particular areas of course related to the environment”). The information comes from the Basin Authority of the rivers Trigno, Biferno and Minori, Saccione and Fortore, prepared for the projects of Stralcio Plan for Hydrogeological Sitting (PAI) adopted cn Del. Institutional Committee between 2005 and 2006.

Feature class MO_Fascia_Restauration_Fortore — information layer of the river tray in the Fortore basin as defined in Article 7 of the Plan Standards (“the set of areas within which the characteristic flow rates of a water course can be safely flowed, including those relating to extreme events and events with a return time of 200 years, by the realisation of all the works necessary for the final development of the watercourse as provided for in this Plan, depending on the restoration of an adequate hydraulic section, the realisation of rolling operations, the environmental upgrading of the watercourse, the protection of areas of particular environmental importance related to the course”). The information comes from the Basin Authority of the rivers Trigno, Biferno and Minori, Saccione and Fortore, prepared for the projects of Stralcio Plan for Hydrogeological Sitting (PAI) adopted cn Del. Institutional Committee between 2005 and 2006.

To address the global challenge of reducing greenhouse gas emissions contributing to climate change, it is essential to explore innovative, renewable, and sustainable energy solutions. Bioenergy, derived from biological sources, plays a vital role by providing renewable options for heat, electricity, and vehicle fuel. Biofuels from food crops like sugarcane and cassava demonstrate the potential of agricultural products for energy generation, while jatropha is cultivated primarily for oil. This learning activity focuses on land suitability mapping for these selected crops in Florida, incorporating criteria such as temperature, rainfall, soil type, soil pH, and topography. The analysis evaluates the land requirements of food and energy crops within the Food-Energy-Water (FEW) nexus framework, addressing potential land-use conflicts. Geographic Information Systems (GIS) are employed to identify optimal regions for energy crop cultivation, promoting sustainable practices that balance food security, water conservation, and renewable energy production. The modules are developed and designed for undergraduate students, particularly those enrolled in any of courses such as environmental science, GIS, natural resource management, agricultural science and remote sensing. Students will apply GIS and remote sensing techniques to analyze interactions among food, energy, and water resources, focusing on resilient crops. The activity incorporates the 4DEE framework – Core Ecological Concepts, Ecological Practices, Human-Environment Interactions, and Cross-Cutting Themes to enhance understanding of the FEW nexus. Through hands-on projects addressing real-world ecological challenges, students will develop critical skills in geospatial data analysis, data interpretation, and ethical considerations, preparing them for sustainable resource management. Likewise on part of the instructors, the activity is designed for those with intermediate to advanced GIS expertise, particularly in ArcGIS Pro and Google Earth Engine for spatial analysis and a basic understanding and application of the Food-Energy-Water (FEW) Nexus to guide students in making informed land-use decisions that support sustainable development goals.

The MO_Fascia_Riassetto_Biferno feature class represents the information layer of the river reorganization strip in the Biferno basin and minor watercourses as defined in art. 7 of the Plan Rules ("the set of areas within which the characteristic flows of a water course can be safely discharged, including those relating to extreme events and events with return times of 200 years, through the implementation of all the works necessary for the definitive arrangement of the watercourse as envisaged by this Plan in relation to the restoration of an adequate hydraulic section, the implementation of lamination interventions, the environmental requalification of the watercourse, the defense of particular environmental value connected to the water course.") The information comes from the Basin Authority of the Trigno, Biferno and Minori, Saccione and Fortore rivers, elaborated for the projects of the Extract Plan for the Hydrogeological Structure (PAI ) adopted with Del. Institutional Committee between the years 2005 and 2006

Attachment regarding a quasi-judicial public hearing for a request by the Conservancy Real Estate Group LLC for a Special Use Permit to allow a public golf course and driving range to also include an internal clubhouse and maintenance facility to be located on approximately 231.67 acres within a proposed conservation subdivision located off New Elam Church Rd and Rush Rd, Cape Fear Township.

The feature class MO_Fascia_Riassetto_Biferno represents the information layer of the river system in the basin of the Biferno and the smaller waterways as defined in Article 7 of the Piano Rules ("the set of areas within which the characteristic flow rates of a water course can be safely flowed, including those relating to extreme events and events with a return time of 200 years, by the realisation of all the works necessary for the final development of the watercourse as provided for in this Plan, depending on the restoration of an appropriate hydraulic section, of the realisation of the works of lamination, of the environmental upgrading of the river basin, of the waste watercourses, of the environmental protection projects, for the restoration of an appropriate hydraulic section, of the realisation of the works of lamination, of the environmental upgrading of the river basin, of the environmental protection of the watercourse, the pre-event of the projects for the development of the water, for the construction of the works connected to the environmental management of the riverbed and to the development of the watercourse. Institutional Committee between 2005 and 2006

The Cooperative Land Cover Map is a project to develop an improved statewide land cover map from existing sources and expert review of aerial photography. The project is directly tied to a goal of Florida's State Wildlife Action Plan (SWAP) to represent Florida's diverse habitats in a spatially-explicit manner. The Cooperative Land Cover Map integrates 3 primary data types: 1) 6 million acres are derived from local or site-specific data sources, primarily on existing conservation lands. Most of these sources have a ground-truth or local knowledge component. We collected land cover and vegetation data from 37 existing sources. Each dataset was evaluated for consistency and quality and assigned a confidence category that determined how it was integrated into the final land cover map. 2) 1.4 million acres are derived from areas that FNAI ecologists reviewed with high resolution aerial photography. These areas were reviewed because other data indicated some potential for the presence of a focal community: scrub, scrubby flatwoods, sandhill, dry prairie, pine rockland, rockland hammock, upland pine or mesic flatwoods. 3) 3.2 million acres are represented by Florida Land Use Land Cover data from the FL Department of Environmental Protection and Water Management Districts (FLUCCS). The Cooperative Land Cover Map integrates data from the following years: NWFWMD: 2006 - 07 SRWMD: 2005 - 08 SJRWMD: 2004 SFWMD: 2004 SWFWMD: 2008 All data were crosswalked into the Florida Land Cover Classification System. This project was funded by a grant from FWC/Florida's Wildlife Legacy Initiative (Project 08009) to Florida Natural Areas Inventory. The current dataset is provided in 10m raster grid format.Changes from Version 1.1 to Version 2.3:CLC v2.3 includes updated Florida Land Use Land Cover for four water management districts as described above: NWFWMD, SJRWMD, SFWMD, SWFWMDCLC v2.3 incorporates major revisions to natural coastal land cover and natural communities potentially affected by sea level rise. These revisions were undertaken by FNAI as part of two projects: Re-evaluating Florida's Ecological Conservation Priorities in the Face of Sea Level Rise (funded by the Yale Mapping Framework for Biodiversity Conservation and Climate Adaptation) and Predicting and Mitigating the Effects of Sea-Level Rise and Land Use Changes on Imperiled Species and Natural communities in Florida (funded by an FWC State Wildlife Grant and The Kresge Foundation). FNAI also opportunistically revised natural communities as needed in the course of species habitat mapping work funded by the Florida Department of Environmental Protection. CLC v2.3 also includes several new site specific data sources: New or revised FNAI natural community maps for 13 conservation lands and 9 Florida Forever proposals; new Florida Park Service maps for 10 parks; Sarasota County Preserves Habitat Maps (with FNAI review); Sarasota County HCP Florida Scrub-Jay Habitat (with FNAI Review); Southwest Florida Scrub Working Group scrub polygons. Several corrections to the crosswalk of FLUCCS to FLCS were made, including review and reclassification of interior sand beaches that were originally crosswalked to beach dune, and reclassification of upland hardwood forest south of Lake Okeechobee to mesic hammock. Representation of state waters was expanded to include the NOAA Submerged Lands Act data for Florida.Changes from Version 2.3 to 3.0: All land classes underwent revisions to correct boundaries, mislabeled classes, and hard edges between classes. Vector data was compared against high resolution Digital Ortho Quarter Quads (DOQQ) and Google Earth imagery. Individual land cover classes were converted to .KML format for use in Google Earth. Errors identified through visual review were manually corrected. Statewide medium resolution (spatial resolution of 10 m) SPOT 5 images were available for remote sensing classification with the following spectral bands: near infrared, red, green and short wave infrared. The acquisition dates of SPOT images ranged between October, 2005 and October, 2010. Remote sensing classification was performed in Idrisi Taiga and ERDAS Imagine. Supervised and unsupervised classifications of each SPOT image were performed with the corrected polygon data as a guide. Further visual inspections of classified areas were conducted for consistency, errors, and edge matching between image footprints. CLC v3.0 now includes state wide Florida NAVTEQ transportation data. CLC v3.0 incorporates extensive revisions to scrub, scrubby flatwoods, mesic flatwoods, and upland pine classes. An additional class, scrub mangrove – 5252, was added to the crosswalk. Mangrove swamp was reviewed and reclassified to include areas of scrub mangrove. CLC v3.0 also includes additional revisions to sand beach, riverine sand bar, and beach dune previously misclassified as high intensity urban or extractive. CLC v3.0 excludes the Dry Tortugas and does not include some of the small keys between Key West and Marquesas.Changes from Version 3.0 to Version 3.1: CLC v3.1 includes several new site specific data sources: Revised FNAI natural community maps for 31 WMAs, and 6 Florida Forever areas or proposals. This data was either extracted from v2.3, or from more recent mapping efforts. Domains have been removed from the attribute table, and a class name field has been added for SITE and STATE level classes. The Dry Tortugas have been reincorporated. The geographic extent has been revised for the Coastal Upland and Dry Prairie classes. Rural Open and the Extractive classes underwent a more thorough reviewChanges from Version 3.1 to Version 3.2:CLC v3.2 includes several new site specific data sources: Revised FNAI natural community maps for 43 Florida Park Service lands, and 9 Florida Forever areas or proposals. This data is from 2014 - 2016 mapping efforts. SITE level class review: Wet Coniferous plantation (2450) from v2.3 has been included in v3.2. Non-Vegetated Wetland (2300), Urban Open Land (18211), Cropland/Pasture (18331), and High Pine and Scrub (1200) have undergone thorough review and reclassification where appropriate. Other classification errors were opportunistically corrected as found or as reported by users to landcovermap@myfwc.com.Changes from Version 3.2.5 to Version 3.3: The CLC v3.3 includes several new site specific data sources: Revised FNAI natural community maps for 14 FWC managed or co-managed lands, including 7 WMA and 7 WEA, 1 State Forest, 3 Hillsboro County managed areas, and 1 Florida Forever proposal. This data is from the 2017 – 2018 mapping efforts. Select sites and classes were included from the 2016 – 2017 NWFWMD (FLUCCS) dataset. M.C. Davis Conservation areas, 18331x agricultural classes underwent a thorough review and reclassification where appropriate. Prairie Mesic Hammock (1122) was reclassified to Prairie Hydric Hammock (22322) in the Everglades. All SITE level Tree Plantations (18333) were reclassified to Coniferous Plantations (183332). The addition of FWC Oyster Bar (5230) features. Other classification errors were opportunistically corrected as found or as reported by users to landcovermap@myfwc.com, including classification corrections to sites in T.M. Goodwin and Ocala National Forest. CLC v3.3 utilizes the updated The Florida Land Cover Classification System (2018), altering the following class names and numbers: Irrigated Row Crops (1833111), Wet Coniferous Plantations (1833321) (formerly 2450), Major Springs (4131) (formerly 3118). Mixed Hardwood-Coniferous Swamps (2240) (formerly Other Wetland Forested Mixed).Changes from Version 3.4 to Version 3.5: The CLC v3.5 includes several new site specific data sources: Revised FNAI natural community maps for 16 managed areas, and 10 Florida Forever Board of Trustees Projects (FFBOT) sites. This data is from the 2019 – 2020 mapping efforts. Other classification errors were opportunistically corrected as found or as reported by users to landcovermap@myfwc.com. This version of the CLC is also the first to include land identified as Salt Flats (5241).Changes from Version 3.5 to 3.6: The CLC v3.6 includes several new site specific data sources: Revised FNAI natural community maps for 11 managed areas, and 24 Florida Forever Board of Trustees Projects (FFBOT) sites. This data is from the 2018 – 2022 mapping efforts. Other classification errors were opportunistically corrected as found or as reported by users to landcovermap@myfwc.com.Changes from Version 3.6 to 3.7: The CLC 3.7 includes several new site specific data sources: Revised FNAI natural community maps for 5 managed areas (2022-2023). Revised Palm Beach County Natural Areas data for Pine Glades Natural Area (2023). Other classification errors were opportunistically corrected as found or as reported by users to landcovermap@myfwc.com. In this version a few SITE level classifications are reclassified for the STATE level classification system. Mesic Flatwoods and Scrubby Flatwoods are classified as Dry Flatwoods at the STATE level. Upland Glade is classified as Barren, Sinkhole, and Outcrop Communities at the STATE level. Lastly Upland Pine is classified as High Pine and Scrub at the STATE level.

The term Aids to Navigation (ATONS or AIDS) refers to a device outside of a vessel used to assist mariners in determining their position or safe course, or to warn them of obstructions. AIDS to navigation include lighthouses, lights, buoy, sound signals, landmarks, racons, radio beacons, LORAN, and omega. These include AIDS which are installed and maintained by the Coast Guard as well as privately installed and maintained aids (permit required). This does not include unofficial AIDS (illegal) such as stakes, PVC pipes, and such placed without permission.

This data set is not certified for navigation and is not intended to be used for navigation purposes.

Each USCG District Headquarters is responsible for updating their database on an 'as needed' basis. When existing AIDS are destroyed or relocated and new AIDS are installed the database is updated. Each AID is assigned an official 'light listing number'. The light list is a document listing the current status of ATONS and it is published and distributed on a regular basis. Interim changes to the light list are published in local Notices to Mariners which are the official means which navigators are supposed to keep their charts current. In addition, the USCG broadcasts Notices to Mariners on the marine band radio as soon as changes of the status of individual AIDS are reported. The light list number and local Notices to Mariners reports are suggested ways to keep the database current on a regular or even 'real time' basis. However, annual (or more frequent) updates of the entire dataset may be obtained from each USCG District Headquarters.

Geographic Information System (GIS) software is required to display the data in this NODC accession.

This data set provides the water quality classifications of New York State's lakes, rivers, streams and ponds, collectively referred to as water bodies. All water bodies in the state are provided a water quality classification based on existing, or expected best usage, of each water body or water body segment. Under New York State's Environmental Conservation Law (ECL), Title 5 of Article 15, certain waters of the state are protected on the basis of their classification. Streams and small water bodies located in the course of a stream that are designated as C (T) or higher (i.e., C (TS), B, or A) are collectively referred to as "protected streams."For more information see https://www.dec.ny.gov/chemical/23853.html1. The public should not make any business decisions and/or financial commitments based on the water quality classification data until they have secured the necessary permissions from the Department of Environmental Conservation. 2. The NYSDEC asks to be credited in derived products. 3. Secondary distribution of the data is not allowed. 4. Any documentation provided is an integral part of the data set. Failure to use the documentation in conjunction with the digital data constitutes a misuse of the data. 5. Although every effort has been made to ensure the accuracy of information, errors may be reflected in data supplied. The user must be aware of data conditions and bear responsibility for the appropriate use of the information with respect to possible errors, original map scale, collection methodology, currency of data, and other condition.

The data is updated nightly using ArcGIS scripting. Scripting will not update the ArcGIS Online "item updated" date, which only reflects the last time the ArcGIS Online item page was last updated. The Kansas Department of Health and Environment (KDHE), Bureau of Remediation (BER) Storage Tank Section enforces federal (EPA) and state storage tank regulations.PROHIBITED USES: KSA 45-230 prohibits the use of names and addresses contained in public records for certain commercial purposes. By submitting this request, you are signing the following written certification that you will not use the information in the records for any purpose prohibited by law.DATA LIMITATIONS:> This data set is not designed for use as a regulatory tool in permitting or citing decisions; it may be used as a reference source. Carefully consider the provisional or incomplete nature of these data before using them for decisions that concern personal safety or involves substantial monetary consequences.> A new facility point is added when a new facility is added to the origination database. > Data is replicated on a nightly basis for public consumption. KDHE is not responsible for database integrity following download. > A Regulated Storage Tank Facility can own multiple Storage Tanks at the one facility. This dataset contains data that is specific to each individual Storage Tank at the one facility. Information such as tank contents, capacity, etc. The Location of each storage tank is NOT collected, and the point represents a general location somewhere in the Facilities Property. The points will be stacked if multiple tanks exists.> For the details of the Tank Facility (address, owner, etc) see the "Regulated Storage Tanks" Feature Layer. For Storage Tanks that are under remediation, see the "Leaking Underground Storage Tank" Feature Layer.> The facility point is not the exact location of the tank, but a general representative somewhere in the property of the Storage Tank Facility.

KDHE makes no assurances of the accuracy or validity of information presented in the Spatial Data. KDHE Tanks have been located using a variety of locational methods. More recent points are geocoded and validated with accuracy of 3-10 meters. Many inactive/old facilities only had a Legal description to calculate point placement on a map, with an accuracy of 250 – 2000 meters.For users who wish to interact with the data in a finished product, KDHE recommends using our Kansas Environmental Interest Finder . More information about KDHE can be found on the Kansas Department of Health and Environment website .More information about KDHE Storage Tanks can be found on the Kansas Department of Health and Environment website Storage Tanks Division .ATTRIBUTES needing further description:Tank Type: 'A' = Above Ground. 'U' = UndergroundStatus of the tank: "Current In Use", "Temporarily Out of Service" or "Permanently Out of Service".Capacity: in gallons Fill or removed: When the tank status is Permanently Out of Service, was the tank "Filled" (with sand/concrete, etc) or "Removed" from the site.Substance: The material that the tank holdPetro Flag: Yes/No if the tank holds Petro (gas)

Compiled in this map are datasets from and hosted by the Massachusetts Executive Office of Energy and Environmental Affairs, Mass GIS, and the Center for Coastal Studies that focus on public access areas including: public beaches and other recreational space, conservation lands, boat ramps and marinas. Note:Open space continually changes, as explained on the MassGIS webpage, therefore please consider the Protected and Open Space layers as underdevelopment. Additionally, open space parcels are general representations and not a legal record of ownership. The following types of land included in this layer may be privately or publicly owned. Public access categories refer to legal (not physical) levels of public access and includes some areas of limited public access ( by membership only).Definitions for Level of Protection In Perpetuity (P)- Legally protected in perpetuity and recorded as such in a deed or other official document. Land is considered protected in perpetuity if it is owned by the town’s conservation commission or, sometimes, by the water department; if a town has a conservation restriction on the property in perpetuity; if it is owned by one of the state’s conservation agencies (thereby covered by article 97); if it is owned by a non-profit land trust; or if the town received federal or state assistance for the purchase or improvement of the property. Private land is considered protected if it has a deed restriction in perpetuity, if an Agriculture Preservation Restriction has been placed on it, or a Conservation Restriction has been placed on it.Temporary (T) - Legally protected for less than perpetuity (e.g. short term conservation restriction), or temporarily protected through an existing functional use. For example, some water district lands are only temporarily protected while water resource protection is their primary use.These lands could be developed for other uses at the end of their temporary protection or when their functional use is no longer necessary. These lands will revert to unprotected status at a given date unless protection status is extended.Limited (L) - Protected by legal mechanisms other than those above, or protected through functional or traditional use.These lands might be protected by a requirement of a majority municipal vote for any change in status. This designation also includes lands that are likely to remain open space for other reasons (e.g. cemeteries and municipal golf courses).None (N) - Totally unprotected by any legal or functional means. This land is usually privately owned and could be sold without restriction at any time for another use (e.g. scout camps, private golf course, and private woodland).For more information about this open space layer please visit MassGIS Content

The data is updated nightly using ArcGIS scripting. Scripting will not update the ArcGIS Online "item updated" date, which only reflects the last time the ArcGIS Online item page was last updated. PROHIBITED USES: KSA 45-230 prohibits the use of names and addresses contained in public records for certain commercial purposes. By submitting this request, you are signing the following written certification that you will not use the information in the records for any purpose prohibited by law.

DATA LIMITATIONS:

This data set is not designed for use as a regulatory tool in permitting or citing decisions; it may be used as a reference source. Carefully consider the provisional or incomplete nature of these data before using them for decisions that concern personal safety or involves substantial monetary consequences.

A new facility point is added when a new facility is added to the origination database.

Data is replicated on a nightly basis for public consumption. KDHE is not responsible for database integrity following download.

This dataset contains One point represents one facility. A facility may have more than one physical tank or may have no tanks depending on "Tank Facility Status". Review tank count field.> For the details of the Tanks at that facility, see the "Storage Tank Details" Feature Layer. This will provide more information about the tank, such as materials stored and capacity. For Storage Tanks that are under remediation, see the "Leaking Underground Storage Tank" Feature Layer.

The facility point is not the exact location of the tank, but a general representative somewhere in the property of the Storage Tank Facility.

KDHE makes no assurances of the accuracy or validity of information presented in the Spatial Data. KDHE Tanks have been located using a variety of locational methods. More recent points are geocoded and validated with accuracy of 3-10 meters. Many inactive/old facilities only had a Legal description to calculate point placement on a map, with an accuracy of 250 – 2000 meters.For users who wish to interact with the data in a finished product, KDHE recommends using our Kansas Environmental Interest Finder . More information about KDHE can be found on the Kansas Department of Health and Environment website .More information about KDHE Storage Tanks can be found on the Kansas Department of Health and Environment website Storage Tanks Division .Attributes: FAC_STATUS: Facility Status - the highest operational status of any of the tanks on the facility. Some facilities may currently have all the tanks inactive, but could have the potential to hold material.ENTITY_STATUS: The status of the ENTIRE facility. This dataset only includes facilities with active KDHE regulations. If it closes with contamination, the facility would transfer to the Identified Sites Listing (see ISL Layer).PERMIT_UST*: Count of Permitted "Underground Storage Tanks"PERMIT_AST:* Count of Permitted "Above Ground Storage Tanks"EXPIRE_AST*: Count of Above Ground Storage Tank Permit has expired. Could potentially be activated at any time.UNPERMIT_AST*: Above Ground Storage Tank is Unpermitted.EXPIRE_UST*: Count of Underground Storage Tank Permit has expired. Could potentially be activated at any time.INSPECT_DATE: last date of an in person inspection of the tanksOWN_NAME: Name of the Owner of the facility.PUBLINK: Link to a web reporting pageLUST_COUNT: Count of Leaking Underground Storage Tank. See the "LUST data layer" for more information.*Refer to the "Tanks Detail" Layer for more information on an individual tank.