i-TreeWFS2.0.0Davey Institute - Davey Tree Expert CompanyKevin WhalenSoftware Engineer3306739515KentOhio44240United StatesKevin.Whalen@Davey.com1.0.01.1.02.0.0text/xmlServiceIdentificationServiceProviderOperationsMetadataFeatureTypeListFilter_Capabilitiesapplication/gml+xml; version=3.2resultshitsapplication/gml+xml; version=3.2GML2KMLSHAPE-ZIPapplication/geopackage+sqlite3application/jsonapplication/vnd.google-earth.kml xmlapplication/vnd.google-earth.kml+xmlapplication/x-gpkgcsvexcelexcel2007geopackagegeopkggml3gml32gpkgjsontext/csvtext/xml; subtype=gml/2.1.2text/xml; subtype=gml/3.1.1text/xml; subtype=gml/3.2nonelocalFALSE1000000nonelocalapplication/gml+xml; version=3.2urn:ogc:def:queryLanguage:OGC-WFS::WFSQueryExpressionALLSOMEresultshitsapplication/gml+xml; version=3.2GML2KMLSHAPE-ZIPapplication/geopackage+sqlite3application/jsonapplication/vnd.google-earth.kml xmlapplication/vnd.google-earth.kml+xmlapplication/x-gpkgcsvexcelexcel2007geopackagegeopkggml3gml32gpkgjsontext/csvtext/xml; subtype=gml/2.1.2text/xml; subtype=gml/3.1.1text/xml; subtype=gml/3.2nonelocalapplication/gml+xml; version=3.2ALLSOMETRUETRUETRUETRUETRUETRUEFALSEFALSETRUETRUETRUETRUEFALSETRUEFALSEwfs:Querywfs:StoredQuerylandscape:o3-2008featureso3_2008urn:ogc:def:crs:EPSG::900913-123.107877691802 28.82504903108811-70.44625201991465 43.89237202464935landscape:air-qualityFor determining human health risk from O3 and PM2.5. https://www.epa.gov/air-research/downscaler-model-predicting-daily-air-pollutionfeaturesair-qualityurn:ogc:def:crs:EPSG::900913-124.69841445626496 24.403448925428393-66.75240739107842 49.104214795668014landscape:brownfieldsfeaturesbrownfieldsurn:ogc:def:crs:EPSG::900913-124.91717219425377 24.539369681144628-66.69603361542349 49.06928619886757landscape:restoreCollaborative Forest Landscape Restoration Project Boundariesfeaturesrestorecflrurn:ogc:def:crs:EPSG::900913-121.81951306338003 30.179916214536572-81.56559566430074 49.000876193977landscape:co-1971featuresco_1971urn:ogc:def:crs:EPSG::900913-123.65761738493126 31.647859816227587-70.60601826320003 48.20959752788582inorganic-growth:Cemetery_GroundfeaturesCemetery_Groundurn:ogc:def:crs:EPSG::4326-159.59911549997875 13.26939569975158144.7748007995199 61.277846399991176landscape:blkgrpUnited States of America Census block groups.featuresblkgrpurn:ogc:def:crs:EPSG::900913-125.06029178531968 17.818312454687927-64.91943547802032 49.127216471647316landscape:placesfeaturesplacesurn:ogc:def:crs:EPSG::900913-134.15938119708335 17.62998914755279-64.94694638359647 57.04327814880032inorganic-growth:Company_GroundCompany_Groundfeaturesurn:ogc:def:crs:EPSG::4326-123.02415600030035 19.11255200017692-73.43476479995662 49.16858170018583landscape:districtfeaturesdistricturn:ogc:def:crs:EPSG::900913-180.94356932880532 24.166628887173385181.57310867991626 71.48978137180468landscape:uk_councilfeaturesuk_councilurn:ogc:def:crs:EPSG::3857-8.702090200888108 49.812872485827931.8210320396762814 59.17581878411357landscape:cntyfeaturescntyurn:ogc:def:crs:EPSG::900913-181.02655569475226 17.582053780181923181.65516079796774 57.56756825824222landscape:subdivisionfeaturessubdivisionurn:ogc:def:crs:EPSG::900913-181.02657366105794 24.1907593093391181.6551428316621 57.42688522597911american-forests:countyA United States county map of tree benefits for the American Forests organization.featurescnty_benefitsurn:ogc:def:crs:EPSG::3857-179.23108599959195 17.831508999753517179.85968100035376 71.44105899945151location-api:dev-location-coding-cityDEV - Boundary layer(s) used to lookup LocationSpecies database Location ID.featurescityurn:ogc:def:crs:EPSG::3857-179.23111090268827 -46.912205311554416179.8596800732924 82.18438644638145location-api:dev-location-coding-countyDEV - Boundary layer(s) used to lookup LocationSpecies database Location ID.featurescountyurn:ogc:def:crs:EPSG::3857-179.16857019260786 -21.387309644786193179.74872016939793 83.13550457013963location-api:dev-location-coding-stateDEV - Boundary layer(s) used to lookup LocationSpecies database Location ID.featuresstateurn:ogc:def:crs:EPSG::3857-118.40765625202141 14.532097567037097-86.71040382250159 32.718653968872054landscape:climate-and-economicData of the Climate and Economic Justice Screening Tool (CEJST) from the Justice40 Initiative for identification of disadvantaged areas. https://screeningtool.geoplatform.gov/featuresclimate_economic_justiceurn:ogc:def:crs:EPSG::3857-181.0265556947523 17.43039917900533181.65516079796777 57.446268852949544landscape:federalfeaturesfederallandsurn:ogc:def:crs:EPSG::900913-180.94200626021095 17.526758258579857181.57310867991626 71.37666452481947landscape:legacyForest Legacy Tractsfeatureslegacyforesttractsurn:ogc:def:crs:EPSG::900913-124.5789654729356 29.10983295565444-67.29430261149426 49.08473852942642landscape:pestRange maps are derived from the Forest Health Technology Enterprise Team (FHTET) and can be viewed at the Insect and Disease Detection Survey Data Explorer (http://foresthealth.fs.usda.gov/portal/Flex/IDS).featurespesturn:ogc:def:crs:EPSG::900913-181.02655569475226 17.582053780181923181.65516079796774 57.56756825824222landscape:stewardfeaturesstewardforeststewardshipurn:ogc:def:crs:EPSG::900913-114.23605075247436 25.963766814911946-66.92954169037753 49.088174342543994inorganic-growth:Golf_Course_GroundfeaturesGolf_Course_Groundurn:ogc:def:crs:EPSG::4326-159.53130580022102 13.358257800157224144.9388920002684 64.89953149977858inorganic-growth:Hospital_GroundfeaturesHospital_Groundurn:ogc:def:crs:EPSG::4326-158.02840000015857 13.471949999692553144.7759700000183 61.18979899992363landscape:huc12Watersheds in hydrologic unit code 12. (Updated to match the set used by the EPA.)featureshuc12HydrologicwatershedEPAhydrourn:ogc:def:crs:EPSG::900913-172.5128624210379 17.273964952024855-64.11197131016023 70.92648105475341landscape:impaired-waterwaysfeaturesimpaired_waterwaysurn:ogc:def:crs:EPSG::3857-121.70397028818095 25.10082260809507-66.87947857959355 49.09923616321738landscape:no2-1971featuresno2_1971urn:ogc:def:crs:EPSG::900913-118.9425893025919 32.79955370586005-116.51703185038953 34.81791890545698landscape:o3-maxFor determining human health risk from O3 and PM2.5. https://www.epa.gov/air-research/downscaler-model-predicting-daily-air-pollutionfeaturesair-qualityurn:ogc:def:crs:EPSG::900913-124.69841445626496 24.403448925428393-66.75240739107842 49.104214795668014landscape:pm10-1987featurespm10_1987urn:ogc:def:crs:EPSG::900913-134.979399321039 18.02610657742082-65.73807917959128 58.57794062488175landscape:pm25-2012featurespm25_2012urn:ogc:def:crs:EPSG::900913-121.58595111927191 32.64241182102119-75.21044106442749 47.6888778202417landscape:pm25-avgFor determining human health risk from O3 and PM2.5. https://www.epa.gov/air-research/downscaler-model-predicting-daily-air-pollutionfeaturesair-qualityurn:ogc:def:crs:EPSG::900913-124.69841445626496 24.403448925428393-66.75240739107842 49.104214795668014landscape:pm25-maxFor determining human health risk from O3 and PM2.5. https://www.epa.gov/air-research/downscaler-model-predicting-daily-air-pollutionfeaturesair-qualityurn:ogc:def:crs:EPSG::900913-124.69841445626496 24.403448925428393-66.75240739107842 49.104214795668014location-api:prod-location-coding-cityfeaturescityurn:ogc:def:crs:EPSG::3857-179.23111090268827 -46.912205311554416179.8596800732924 82.18438644638145location-api:prod-location-coding-countyfeaturescountyurn:ogc:def:crs:EPSG::3857-179.16857019260786 -47.28999338259033179.74872016939793 83.13550457013963location-api:prod-location-coding-statefeaturesstateurn:ogc:def:crs:EPSG::3857-118.40765625202141 -47.28999338259033178.57724517368337 32.718653968872054landscape:hardinesshttp://planthardiness.ars.usda.gov/PHZMWeb/hardinessfeaturesurn:ogc:def:crs:EPSG::900913-165.0994796062302 17.710747346771022-65.05262868519671 60.41361909630635landscape:redlineOnly at the US Census Place level. Classification grades A, B, C, and D, are from percent of total area covered, meters squared of canopy, meters squared of impervious, and tree benefits. The benefits per meters squared of tree canopy cover: Carbon (storage / sequestration); Pollution (removal / monetary value); Hydrology (transpiration; interception; avoided runoff / monetary value). Not every census place will have redline information. The redline classification may not cover the entire place. Places can have any combination of grades (not always all four grades). Source - https://dsl.richmond.edu/panorama/redlining/featuresredlineurn:ogc:def:crs:EPSG::3857-123.02660479675433 25.579919370964525-70.69010506537003 47.816047062043204inorganic-growth:Shopping_Center_GroundfeaturesShopping_Center_Groundurn:ogc:def:crs:EPSG::4326-158.08690800030277 13.488489999813513144.7836699998735 61.21756699981693landscape:so2-2010featuresso2_2010urn:ogc:def:crs:EPSG::900913-111.03984110518768 27.801737264609653-71.12799766343664 45.8987143809538landscape:tmp_wui_change_1990http://silvis.forest.wisc.edu/maps/wui 1990 - 2010featureswui_change_1990urn:ogc:def:crs:EPSG::3857-124.72711745750222 24.521084331563486-66.94978535190195 49.37517443900007american-forests:test_county_benefitsTesting output formats for the county benefits layer.featurescnty_benefitsurn:ogc:def:crs:EPSG::3857-179.23108599959195 17.831508999753517179.85968100035376 71.44105899945151landscape:tribal-landFederally Recognized Tribes, including Alaska Native Villages, are considered disadvantaged communities as identified by the Climate and Economic Justice Screening Tool (CEJST) from the Justice40 Initiative. https://screeningtool.geoplatform.gov/featurestribal-landurn:ogc:def:crs:EPSG::3857-174.73716292974058 25.470501786434372-66.50587374450465 66.78627069964419landscape:forestfeaturesforesturn:ogc:def:crs:EPSG::900913-140.20942683779424 28.42687228142601-70.25325883427912 60.11340205517224inorganic-growth:University_or_College_GroundfeaturesUniversity_or_College_Groundurn:ogc:def:crs:EPSG::4326-157.98644299974336 13.42755300007075144.83613810009598 64.86319899973368landscape:urban-forestfeaturesforest_urbanurbanforesturban-foresturn:ogc:def:crs:EPSG::900913-140.20942683779424 28.42687228142601-70.25325883427912 60.11340205517224landscape:urban-rangerfeaturesranger_urbanurbanrangerurban-rangerforest rangerdistrictdistrictsurn:ogc:def:crs:EPSG::900913-136.91585266325126 28.6889157631181-70.26964410506146 59.719999634394064landscape:walkabilitywalkabilityfeaturesurn:ogc:def:crs:EPSG::900913-181.02657366105794 17.635718662744416181.6551428316621 57.4456887986698landscape:us_wui_2010http://silvis.forest.wisc.edu/maps/wui 2010featuresus_wui_2010urn:ogc:def:crs:EPSG::900913-125.0276739573533 24.464847695980094-66.661951533544 49.43680087897659landscape:wui_change_1990http://silvis.forest.wisc.edu/maps/wui 1990 - 2010featureswui_change_1990urn:ogc:def:crs:EPSG::3857-124.53695126709732 24.40828355986515-66.71673079956962 49.099030302334235inorganic-growth:Zoo_GroundfeaturesZoo_Groundurn:ogc:def:crs:EPSG::4326-93.72269219998732 36.50778829969267-93.71922520018511 36.510848400335824landscape:rangerUnited States Forest Ranger Districtsfeaturesrangerurn:ogc:def:crs:EPSG::900913-136.91585266325126 28.6889157631181-70.26964410506146 59.719999634394064landscape:statefeaturesstateurn:ogc:def:crs:EPSG::900913-179.23108599959195 17.831508999753517179.85968099945546 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