My GeoServer WFSThis is a description of your Web Feature Server.
The GeoServer is a full transactional Web Feature Server, you may wish to limit
GeoServer to a Basic service level to prevent modificaiton of your geographic
data.WFSWMSGEOSERVERWFS1.1.0NONENONE1.0.01.1.0text/xmlServiceIdentificationServiceProviderOperationsMetadataFeatureTypeListFilter_Capabilitiestext/xml; subtype=gml/3.1.1resultshitstext/xml; subtype=gml/3.1.1GML2KMLSHAPE-ZIPapplication/gml+xml; version=3.2application/jsonapplication/vnd.google-earth.kml xmlapplication/vnd.google-earth.kml+xmlcsvexcelexcel2007gml3gml32jsontext/xml; subtype=gml/2.1.2text/xml; subtype=gml/3.22ALLSOMEresultshitstext/xml; subtype=gml/3.1.1GML2KMLSHAPE-ZIPapplication/gml+xml; version=3.2application/jsonapplication/vnd.google-earth.kml xmlapplication/vnd.google-earth.kml+xmlcsvexcelexcel2007gml3gml32jsontext/xml; subtype=gml/2.1.2text/xml; subtype=gml/3.2text/xml; subtype=gml/3.1.1GenerateNewUseExistingReplaceDuplicateALLSOMEQueryInsertUpdateDeleteLockgeonode:Casos_confluctos_MET_Final25 casos documentos en el esfuerzo de mapeoNo abstract providedfeaturesCasos_confluctos_MET_Finalurn:x-ogc:def:crs:EPSG:4326-118.159034729004 -32.8707618713379-60.5904006958008 48.4053344726562https://geo.ejatlas.org/catalogue/csw?request=GetRecordById&service=CSW&version=2.0.2&id=6cf31960-4a2a-11ec-ab7c-0242ac160008&outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&elementsetname=fullgeonode:Airport_Conflict_Not_DocumentedAirport conflicts not documented in EJAtlas that merit further investigatioList of 324 airport projects where there is evidence of conflict that merits further investigation, which is not documented in the EJAtlas platform. Investigation by Rose Bridger - Stay Grounded/Global Anti-Aerotropolis Movement (GAAM), and the EJAtlas team - Sara Mingorria and Emmy Iwarsson (2018-2020).featuresAirport_Conflict_Not_Documentedurn:x-ogc:def:crs:EPSG:4326-172.008270263672 -43.4863777160645178.559600830078 61.2159080505371https://geo.ejatlas.org/catalogue/csw?request=GetRecordById&service=CSW&version=2.0.2&id=9ca8728e-6481-11eb-a934-0242ac160008&outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&elementsetname=fullgeonode:Airport_ProjectAirport construction projectsNew airport construction projects and expansion of existing airports.
Layer and mapping process produced by EJAtlas / Stay Grounded based on the CAPA (Centre for Aviation) Global Airport Construction Database (2017).Airport_Projectfeaturesurn:x-ogc:def:crs:EPSG:4326-107.65193939209 -37.7865028381348177.045074462891 68.4297485351562https://geo.ejatlas.org/catalogue/csw?request=GetRecordById&service=CSW&version=2.0.2&id=9b421f7c-6b8d-11eb-a934-0242ac160008&outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&elementsetname=fullgeonode:Buffer_10km_PAArea less than 10 km from protected areasArea less than 10 km from Protected areas (Wildlife Sanctuary and National Park). Elaborated with a buffer option in QGIS with the layer about Protected Area in IndiaIndiaurn:x-ogc:def:crs:EPSG:432668.3916091918945 6.711542129516697.0886001586914 35.774227142334https://geo.ejatlas.org/catalogue/csw?request=GetRecordById&service=CSW&version=2.0.2&id=cd6dfe64-badd-11ea-ab7c-0242ac160008&outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&elementsetname=fullgeonode:Aviation_CO2_Emission_TotalCO2 emissions from commercial aviation by country (2019)CO2 emissions from commercial aviation (national and international operations allocated to countries by flight departure airport) in 2019. Emissions are allocated by country of departure, not citizenship or residency his means that emissions attributed to countries with major hub airports will have somewhat inflated (e.g. UAE), while emissions attributed to countries whose citizens travel a lot through other hub countries will be somewhat low (e.g. Sweden).
Data from the International Council on Clean Transportation (ICCT): https://theicct.org/publications/co2-emissions-commercial-aviation-2020featuresAviation_CO2_Emission_Totalurn:x-ogc:def:crs:EPSG:4326-180.0 -90.0180.000015258789 83.6134719848633https://geo.ejatlas.org/catalogue/csw?request=GetRecordById&service=CSW&version=2.0.2&id=16f60696-6f77-11eb-ba74-0242ac160008&outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&elementsetname=fullgeonode:Coal_FieldsCoal_FieldsNo abstract providedCoal_Fieldsfeaturesurn:x-ogc:def:crs:EPSG:432678.0717620849609 -4.81714487075806119.578407287598 24.2845401763916https://geo.ejatlas.org/catalogue/csw?request=GetRecordById&service=CSW&version=2.0.2&id=9332cac4-861a-11ea-8f3e-0242ac16000d&outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&elementsetname=fullgeonode:Coal_PowerPlant_IndiaCoal_PowerPlant_IndiaNo abstract providedCoal_PowerPlant_Indiafeaturesurn:x-ogc:def:crs:EPSG:432621.7799987792969 8.3959522247314595.4426422119141 72.97900390625https://geo.ejatlas.org/catalogue/csw?request=GetRecordById&service=CSW&version=2.0.2&id=e8da0072-8477-11ea-b575-0242ac16000d&outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&elementsetname=fullgeonode:ND_GAIN_IndexCountry’s current vulnerability to climate disruptions (ND-GAIN Country Index) in 2018.The Notre Dame-Global Adaptation Index (ND-GAIN) Country Index is a free opensource index that shows a country’s current vulnerability to climate disruptions. It also
assesses a country’s readiness to leverage private and public sector investment for
adaptive actions. ND-GAIN brings together over 74 variables to form 45 core indicators
to measure vulnerability and readiness of 192 UN countries from 1995 to the present
(Due to data availability, ND-GAIN measures vulnerability of 182 countries and
readiness of 184 countries)
Data from University of Notre Dame: https://gain.nd.edu/our-work/country-index/featuresND_GAIN_Indexurn:x-ogc:def:crs:EPSG:4326-180.0 -90.0180.000015258789 83.6134719848633https://geo.ejatlas.org/catalogue/csw?request=GetRecordById&service=CSW&version=2.0.2&id=e1d444a0-96b8-11eb-ba74-0242ac160008&outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&elementsetname=fullgeonode:Death_due_to_conflicts_IndiaDeath due to conflicts in protected area in IndiaOwn elaboration based on secondary sources (newspaper; official and alternative media reports) and primary sources from activists and local people.featuresDeath_due_to_conflicts_Indiaurn:x-ogc:def:crs:EPSG:432676.2700119018555 11.748533248901493.3694686889648 26.6297378540039https://geo.ejatlas.org/catalogue/csw?request=GetRecordById&service=CSW&version=2.0.2&id=f8877fee-c686-11ea-a934-0242ac160008&outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&elementsetname=fullgeonode:Displacement_PA_IndiaDisplacement of families in protected areas, IndiaOwn elaboration based on: secondary sources (newspapers; official and alternative media reports); primary sources from activists and local people; public information withdrawn from Lok Sabha unstarred Question No 3405.Displacement_PA_Indiafeaturesurn:x-ogc:def:crs:EPSG:432673.5356979370117 11.64051342010593.3694686889648 30.1197566986084https://geo.ejatlas.org/catalogue/csw?request=GetRecordById&service=CSW&version=2.0.2&id=a4db7c6c-c684-11ea-b4ba-0242ac160008&outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&elementsetname=fullgeonode:Aviation_Departure_2019Flight departures by country (2019)Number of flight departures by country in 2019. Data from The International Council on Clean Transportation (ICCT): https://theicct.org/publications/co2-emissions-commercial-aviation-2020Aviation_Departure_2019featuresurn:x-ogc:def:crs:EPSG:4326-180.0 -90.0180.000015258789 83.6134719848633https://geo.ejatlas.org/catalogue/csw?request=GetRecordById&service=CSW&version=2.0.2&id=f5e003aa-8afe-11eb-a934-0242ac160008&outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&elementsetname=fullgeonode:Aviation_CO2_Emission_PointFlight departures by country in 2019 (point)Number of flight departures by country in 2019. Data from The International Council on Clean Transportation (ICCT): https://theicct.org/publications/co2-emissions-commercial-aviation-2020featuresAviation_CO2_Emission_Pointurn:x-ogc:def:crs:EPSG:4326-105.092437744141 -41.8240089416504171.385314941406 68.8096084594727https://geo.ejatlas.org/catalogue/csw?request=GetRecordById&service=CSW&version=2.0.2&id=f7fadeca-6f7a-11eb-a934-0242ac160008&outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&elementsetname=fullgeonode:CFR_PA_India2Forest Rights Act implementation in protected areas (PAs)Own elaboration based on secondary data (FRA-LA reports, newspaper reports, government reports and RTI information), and primary data collected from activists and local peoplefeaturesCFR_PA_India2urn:x-ogc:def:crs:EPSG:432673.4296112060547 11.534079551696893.5908355712891 30.2748565673828https://geo.ejatlas.org/catalogue/csw?request=GetRecordById&service=CSW&version=2.0.2&id=b07efc52-c845-11ea-b4ba-0242ac160008&outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&elementsetname=fullgeonode:Climate_Risk_Index_CountryGlobal Climate Risk Index (CRI) Ranking (2000–2019)Climate Risk Index (CRI) ranks countries depending on the level of effects of weather related loss events (storms, floods, heatwaves). This data is an average CRI from 2010 to 2019. Each
country's index score has been derived from a country's average ranking in all four
indicating categories, according to the following weighting: death toll, 1/6; deaths
per 100,000 inhabitants, 1/3; absolute losses in PPP, 1/6; losses per GDP unit, 1/3
More about the methodology and data analysis:
https://germanwatch.org/sites/germanwatch.org/files/Global%20Climate%20Risk%20Index%202021_1.pdffeaturesClimate_Risk_Index_Countryurn:x-ogc:def:crs:EPSG:4326-180.0 -90.0180.000015258789 83.6134719848633https://geo.ejatlas.org/catalogue/csw?request=GetRecordById&service=CSW&version=2.0.2&id=07e5fce0-6bb9-11eb-a934-0242ac160008&outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&elementsetname=fullgeonode:IND_railsIND_railsNo abstract providedIND_railsfeaturesurn:x-ogc:def:crs:EPSG:432668.965934753418 8.3369169235229595.8589782714844 32.7122001647949https://geo.ejatlas.org/catalogue/csw?request=GetRecordById&service=CSW&version=2.0.2&id=46d12562-861b-11ea-8f3e-0242ac16000d&outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&elementsetname=fullgeonode:Indigenous_Pob_India_SimplIndigenous population by district in IndiaPercentage of indigenous population by district in India. Data from district population census in 2011: http://nhsrcindia.org/sites/default/files/hmis/Demographic%20Status%20of%20Scheduled%20Tribe%20Population%20-%20NHSRC.pdfIndigenousIndiaurn:x-ogc:def:crs:EPSG:432668.1862487792969 6.7543244361877497.4151611328125 35.501335144043https://geo.ejatlas.org/catalogue/csw?request=GetRecordById&service=CSW&version=2.0.2&id=1fa5dde4-bad1-11ea-ab7c-0242ac160008&outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&elementsetname=fullgeonode:ANP_America_FinalMain Protected Area / Areas Protegidas principales (América)Main Protected Areas in America
Data from Protected Planet: https://www.protectedplanet.net/featuresANP_America_Finalurn:x-ogc:def:crs:EPSG:4326-173.500015258789 -56.1860427856445-9.58520412445068 76.8471374511719https://geo.ejatlas.org/catalogue/csw?request=GetRecordById&service=CSW&version=2.0.2&id=3ddbb4b8-21f6-11ec-ba74-0242ac160008&outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&elementsetname=fullgeonode:Main_AiroportsMain operating airports (2020)Selection of worldwide airport locations covering large and medium airports.
All the data is crowdsourced by the community of OurAirports.com (2020).
Data from: https://hub.arcgis.com/datasets/e90996158f0a464189098881379597a6_0featuresMain_Airoportsurn:x-ogc:def:crs:EPSG:4326-178.066009521484 -54.8433036804199179.34001159668 90.0https://geo.ejatlas.org/catalogue/csw?request=GetRecordById&service=CSW&version=2.0.2&id=12d38cb4-6eff-11eb-b4ba-0242ac160008&outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&elementsetname=fullgeonode:Militarisation_PA_IndiaMilitarisation and criminalization in protected areas, IndiaOn Militarization: data withdraw from the NTCA website on the Special Tiger Conservation Authority, https://projecttiger.nic.in/content/257_6_STPF.aspx; other secondary data from news reports.
On Criminalization: own elaboration from data collected from secondary sources (newspaper; reports) and primary sources from activists and local people.Militarisation_PA_Indiafeaturesurn:x-ogc:def:crs:EPSG:432673.4296112060547 11.534079551696893.5908355712891 30.2748565673828https://geo.ejatlas.org/catalogue/csw?request=GetRecordById&service=CSW&version=2.0.2&id=cb125c88-c685-11ea-a934-0242ac160008&outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&elementsetname=fullgeonode:Traveling_Whithout_VisaNumber of countries citizens can visit without a visa (2021)The Henley Passport Index (HPI) is a global ranking of countries according to the travel freedom for their citizens. HPI provides a ranking of the 199 passports of the world according to the number of countries their holders can travel to visa-free in 2021. The data reveals gaping inequalities in the freedom of people from different countries to travel around the world. People with an EU passport can travel to more than 180 countries without a visa, whereas citizens of the countries subject to the strictest level of travel restrictions can visit fewer than 50 countries without a visa.
HPI data from: https://www.henleypassportindex.com/passportfeaturesTraveling_Whithout_Visaurn:x-ogc:def:crs:EPSG:4326-180.0 -90.0180.000015258789 83.6134719848633https://geo.ejatlas.org/catalogue/csw?request=GetRecordById&service=CSW&version=2.0.2&id=885d264a-6bbf-11eb-ba74-0242ac160008&outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&elementsetname=fullgeonode:Water_Risk_AmOverall water risk / Riesgo hídrico generalOverall water risk measures all water-related risks, by aggregating all selected indicators from the Physical Quantity, Quality and Regulatory & Reputational Risk categories. Higher values indicate higher water risk.
El riesgo hídrico general mide todos los riesgos relacionados con el agua, agregando todos los indicadores seleccionados de las categorías Cantidad física, Calidad y Riesgo reglamentario y de reputación. Los valores más altos indican un mayor riesgo de agua.
Source: WRI Aqueduct 2019: https://www.wri.org/applications/aqueduct/water-risk-atlasfeaturesWater_Risk_Amurn:x-ogc:def:crs:EPSG:4326-180.0 -55.9875030517578179.997940063477 83.2172393798828https://geo.ejatlas.org/catalogue/csw?request=GetRecordById&service=CSW&version=2.0.2&id=00d30c7e-220a-11ec-a232-0242ac160008&outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&elementsetname=fullgeonode:Aviation_CO2_EmissionPer capita CO2 emissions from aviation, tourism-adjusted (2018)CO2 emissions per capita from domestic and international flights. This data is adjusted for tourism because most of the departing flights from some countries are carrying visiting tourists rather than locals, attempting to distinguish between locals traveling abroad and foreign visitors traveling to that country on the same flight. There are major inequalities in emissions from aviation across the world. CO2 emissions per capita adjusted for tourism* of the United Arab Emirates are 2,908 times higher than the country with the lowest CO2 emissions per capita (Tajikistan).
Data and explication from: https://ourworldindata.org/carbon-footprint-flying
About data adjusted for tourism methodology:
https://theicct.org/blog/staff/not-every-tonne-of-aviation-CO2Aviation_CO2_Emissionfeaturesurn:x-ogc:def:crs:EPSG:4326-180.0 -90.0180.000015258789 83.6134719848633https://geo.ejatlas.org/catalogue/csw?request=GetRecordById&service=CSW&version=2.0.2&id=2a368e1e-6c58-11eb-b4ba-0242ac160008&outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&elementsetname=fullgeonode:Clearance_Projet_10km_PAProject Environment Clearances < 10km from protected areasProject environment clearances (ECs) located at less than 10km from protected areas.
Environment Clearances data for India are from IndiaSpend, a public-interest journalism nonprofit, and are part of the Environment Undone series, reported by Tish Sanghera and Disha Shetty, supported by the Pulitzer Center. Individual contributor Pankhuri Kumar built the map first published here: https://environmentclearance.indiaspend.com/MegaprojectIndiaurn:x-ogc:def:crs:EPSG:432668.7501983642578 8.0899991989135796.1865234375 34.0060119628906https://geo.ejatlas.org/catalogue/csw?request=GetRecordById&service=CSW&version=2.0.2&id=1179c23a-bae0-11ea-a934-0242ac160008&outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&elementsetname=fullgeonode:Protected_Area_India_FinalProtected Area in India (National Park and Wildlife Sanctuary)Layer built with Open Street Map information and official ENVIS listings:
http://www.wiienvis.nic.in/Database/npa_8231.aspx
http://www.wiienvis.nic.in/Database/wls_8230.aspxProtected areaIndiaurn:x-ogc:def:crs:EPSG:432668.4912567138672 6.8112697601318496.9896087646484 35.6745491027832https://geo.ejatlas.org/catalogue/csw?request=GetRecordById&service=CSW&version=2.0.2&id=e6a0d9a0-bade-11ea-ba74-0242ac160008&outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&elementsetname=fullgeonode:Sitio_Ramsar_America_SimplRAMSAR Site / Sitios RAMSAR (América)Data from Protected Planet: https://www.protectedplanet.net/
Ramsar Sites are wetlands considered to be of international importance. The international convention which forms the basis for their identification is commonly referred to as the "Ramsar Convention" after the city in Iran where the convention was signed in 1971. The Convention is an intergovernmental treaty that provides the framework for the conservation and wise use of wetlands and their resources.featuresSitio_Ramsar_America_Simplurn:x-ogc:def:crs:EPSG:4326-145.404983520508 -56.1860427856445-38.9979934692383 75.5158538818359https://geo.ejatlas.org/catalogue/csw?request=GetRecordById&service=CSW&version=2.0.2&id=7aae1352-21e4-11ec-a934-0242ac160008&outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&elementsetname=fullgeonode:Roma_PopulationRoma Population by country in Central and South-Eastern EuropePercentage of Roma population in countries of study from the Feature Map "Pushed to the wasteland: Environmental racism against Roma communities in Central and South-Eastern Europe".
Source: United Nation Development Program 2011 CensusfeaturesRoma_Populationurn:x-ogc:def:crs:EPSG:432615.7160730361938 40.849391937255929.699556350708 49.6017799377441https://geo.ejatlas.org/catalogue/csw?request=GetRecordById&service=CSW&version=2.0.2&id=b66a23fa-cd7c-11ed-b4ba-0242ac160008&outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&elementsetname=fullgeonode:State_Limit_IndiaStates of IndiaLayer of administrative limits of Indian states.
Layer from DivaGIS: http://www.diva-gis.org/DataAdministrative limitIndiaurn:x-ogc:def:crs:EPSG:432668.1862487792969 6.7543244361877497.4151611328125 35.501335144043https://geo.ejatlas.org/catalogue/csw?request=GetRecordById&service=CSW&version=2.0.2&id=11046ca0-9e76-11ea-ab7c-0242ac160008&outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&elementsetname=fullgeonode:Tiger_Conserv_Landscape_IndiaTiger Conservation LandscapesTiger Conservation Landscapes (TCLs) are large blocks of contiguous or connected area of suitable tiger habitat that that can support at least five adult tigers and where tiger presence has been confirmed in the past 10 years. The data set was created by mapping tiger distribution, determined by land cover type, forest extent, and prey base, against a human influence index. Areas of high human influence that overlapped with suitable habitat were not considered tiger habitat.
Source: http://data.globalforestwatch.org/datasets/tiger-conservation-landscapesIndiaurn:x-ogc:def:crs:EPSG:432673.2014465332031 8.7071113586425898.5928421020508 30.5755939483643https://geo.ejatlas.org/catalogue/csw?request=GetRecordById&service=CSW&version=2.0.2&id=94368956-9f3d-11ea-b4ba-0242ac160008&outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&elementsetname=fullgeonode:Tiger_Corridor_PA_IndiaTiger CorridorTiger corridor and protected area in India.
Data from National Tiger Conservation Authority:
https://ntca.gov.in/dss/#decision-support-systemTiger_Corridor_PA_Indiafeaturesurn:x-ogc:def:crs:EPSG:432673.5584945678711 8.3097229003906296.9386520385742 30.2535648345947https://geo.ejatlas.org/catalogue/csw?request=GetRecordById&service=CSW&version=2.0.2&id=fd84f664-0198-11eb-b4ba-0242ac160008&outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&elementsetname=fullgeonode:Tigers_Corridor_IndiaTigers Corridor in IndiaOwn elaboration (EJATlas) from the information contained in the archives of the Wildlife Institute of India (https://wii.gov.in/connecting_tigers) and the maps from the National Tiger Conservation Autority (https://projecttiger.nic.in/content/245_1_corridor-area.aspx).Biodiversityurn:x-ogc:def:crs:EPSG:432674.4982757568359 8.9329710006713996.4601440429688 29.8920288085938https://geo.ejatlas.org/catalogue/csw?request=GetRecordById&service=CSW&version=2.0.2&id=c6400e3e-8478-11ea-b575-0242ac16000d&outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&elementsetname=fullgeonode:Total_Energies_in_Protected_AreasTotalEnergies Extraction Operations in Protected AreasSource: Protected Carbon Map, special thanks to the LINGO team for providing the data. Accessed: 28/08/2023. https://www.protected-carbon.org/featuresTotal_Energies_in_Protected_Areasurn:x-ogc:def:crs:EPSG:4326-116.848007202148 -53.098705291748151.219192504883 72.5694427490234https://geo.ejatlas.org/catalogue/csw?request=GetRecordById&service=CSW&version=2.0.2&id=d300c7ba-523f-11ee-ab7c-0242ac160008&outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&elementsetname=fullgeonode:Production_Country_TotalEnergiesTotalEnergies Fossil Fuel Production per Country (kboe/d)Source: TotalEnergies Universal Registration Document 2022. pg. 94. https://totalenergies.com/sites/g/files/nytnzq121/files/documents/2023-03/TotalEnergies_URD_2022_EN.pdfProduction_Country_TotalEnergiesfeaturesurn:x-ogc:def:crs:EPSG:4326-180.0 -90.0180.000015258789 83.6134719848633https://geo.ejatlas.org/catalogue/csw?request=GetRecordById&service=CSW&version=2.0.2&id=b503f4b8-51b7-11ee-ab7c-0242ac160008&outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&elementsetname=fullgeonode:TotalGasPipelinesTotalEnergies Gas PipelinesSource: Global Energy Monitor Global Gas Infrastructure Tracker. Version: January 2022
https://globalenergymonitor.org/projects/global-gas-infrastructure-tracker/TotalGasPipelinesfeaturesurn:x-ogc:def:crs:EPSG:4326-68.5648422241211 -53.3950004577637151.114852905273 55.7578620910645https://geo.ejatlas.org/catalogue/csw?request=GetRecordById&service=CSW&version=2.0.2&id=979845bc-5240-11ee-a232-0242ac160008&outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&elementsetname=fullgeonode:TotalEnergiesLNGTerminalsTotalEnergies LNG TerminalsSource: Global Energy Monitor Global Gas Infrastructure Tracker. Version: June 2021
https://globalenergymonitor.org/projects/global-gas-infrastructure-tracker/featuresTotalEnergiesLNGTerminalsurn:x-ogc:def:crs:EPSG:4326-93.3383636474609 -23.7760009765625151.210311889648 71.2733001708984https://geo.ejatlas.org/catalogue/csw?request=GetRecordById&service=CSW&version=2.0.2&id=73ae1c92-51c0-11ee-ba74-0242ac160008&outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&elementsetname=fullgeonode:TotalOilPipelinesTotalEnergies Oil PipelinesSource: Global Energy Monitor Global Oil Infrastructure Tracker. Version: May 2023
https://globalenergymonitor.org/projects/global-oil-infrastructure-tracker/featuresTotalOilPipelinesurn:x-ogc:def:crs:EPSG:4326-1.43333160877228 -5.4206624031066971.0094985961914 60.8833312988281https://geo.ejatlas.org/catalogue/csw?request=GetRecordById&service=CSW&version=2.0.2&id=d4007b28-524f-11ee-ba74-0242ac160008&outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&elementsetname=fullgeonode:TotalOilGasExtraction0TotalEnergies Oil and Gas Extraction OperationsSource: Global Energy Monitor Global Oil and Gas Extraction Tracker. Version: July 2023. https://globalenergymonitor.org/projects/global-oil-gas-extraction-tracker/featuresTotalOilGasExtractionurn:x-ogc:def:crs:EPSG:4326-111.540000915527 -35.8797035217285123.259185791016 71.7940063476562https://geo.ejatlas.org/catalogue/csw?request=GetRecordById&service=CSW&version=2.0.2&id=ed587776-523e-11ee-a934-0242ac160008&outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&elementsetname=fullgeonode:Total_LNG_TerminalTotal_LNG_TerminalNo abstract providedfeaturesTotal_LNG_Terminalurn:x-ogc:def:crs:EPSG:4326-93.3383636474609 -23.7760009765625151.210311889648 71.2733001708984https://geo.ejatlas.org/catalogue/csw?request=GetRecordById&service=CSW&version=2.0.2&id=31a67d2a-5180-11ee-a934-0242ac160008&outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&elementsetname=fullgeonode:Tx2_Tiger_Conserv_Landscape_IndiaTx2 Tiger Conservation LandscapesThis data set displays 29 Tx2 Tiger Conservation Landscapes (Tx2 TCLs), defined areas that could double the wild tiger population through proper conservation and management by 2020.
Source: http://data.globalforestwatch.org/datasets/tiger-conservation-landscapes.Tx2_Tiger_Conserv_Landscape_Indiafeaturesurn:x-ogc:def:crs:EPSG:432675.0013732910156 11.031296730041598.5928421020508 30.5755939483643https://geo.ejatlas.org/catalogue/csw?request=GetRecordById&service=CSW&version=2.0.2&id=9b3cfa9e-83f1-11ea-8c1d-0242ac16000d&outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&elementsetname=fullgeonode:Type_PA_ConflictType of Protected Area with conflict, IndiaOwn elaboration based on a georeferencing process of the maps from ENVIS Centre on Wildlife & Protected Areas listing: :
http://www.wiienvis.nic.in/Database/npa_8231.aspx
http://www.wiienvis.nic.in/Database/wls_8230.aspxfeaturesType_PA_Conflicturn:x-ogc:def:crs:EPSG:432673.4296112060547 11.534079551696893.5908355712891 30.2748565673828https://geo.ejatlas.org/catalogue/csw?request=GetRecordById&service=CSW&version=2.0.2&id=54f4f042-c847-11ea-ab7c-0242ac160008&outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&elementsetname=fullgeonode:indiaminesindiaminesNo abstract providedindiaminesfeaturesurn:x-ogc:def:crs:EPSG:432668.6599884033203 8.1492233276367295.7725296020508 28.0765838623047https://geo.ejatlas.org/catalogue/csw?request=GetRecordById&service=CSW&version=2.0.2&id=ab3e029c-847a-11ea-8c1d-0242ac16000d&outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&elementsetname=fullgeonode:svgpointtestsvgpointtestNo abstract providedsvgpointtestfeaturesurn:x-ogc:def:crs:EPSG:432668.6599884033203 8.1492233276367295.7725296020508 28.0765838623047https://geo.ejatlas.org/catalogue/csw?request=GetRecordById&service=CSW&version=2.0.2&id=46de7bfe-9813-11ea-ad75-0242ac16000d&outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&elementsetname=fullgml:Envelopegml:Pointgml:LineStringgml:PolygonLessThanGreaterThanLessThanEqualToGreaterThanEqualToEqualToNotEqualToLikeBetweenNullCheckabsabs_2abs_3abs_4acosAddCoveragesAffineAggregateAreaarea2AreaGridasinatanatan2attributeCountBandMergeBandSelectBarnesSurfacebetweenboundaryboundaryDimensionboundedByBoundsbufferBufferFeatureCollectionbufferWithSegmentsCategorizeceilcentroidclassifyClassifyByRangeClipcollectGeometriesCollection_AverageCollection_BoundsCollection_CountCollection_MaxCollection_MedianCollection_MinCollection_NearestCollection_SumCollection_UniqueConcatenatecontainsContourcontrastconvertconvexHullConvolveCoveragecosCountCoverageClassStatsCropCoveragecrossesdarkendateDifferencedateFormatdateParsedensifydesaturatedifferencedimensiondisjointdisjoint3Ddistancedistance3Ddouble2boolendAngleendPointenvenvelopeEqualAreaEqualIntervalequalsExactequalsExactToleranceequalToexpexteriorRingFeatureFeatureClassStatsfloorgeometrygeometryTypegeomFromWKTgeomLengthGeorectifyCoverageGetFullCoveragegetGeometryNgetXgetYgetzgrayscalegreaterEqualThangreaterThanGridHeatmaphslidIEEEremainderif_then_elseImportinin10in2in3in4in5in6in7in8in9InclusionFeatureCollectionint2bboolint2ddoubleinteriorPointinteriorRingNInterpolateintersectionIntersectionFeatureCollectionintersectsintersects3DisClosedisCoverageisEmptyisInstanceOfisLikeisNullisometricisRingisSimpleisValidisWithinDistanceisWithinDistance3DJenksJifflejsonPointerlabelPointlapplylengthlessEqualThanlessThanlightenlistlistMultiplylitemliteratelogLRSGeocodeLRSMeasureLRSSegmentmaxmax_2max_3max_4minmin_2min_3min_4mincircleminimumdiameterminrectanglemixmoduloMultiplyCoveragesNearestNormalizeCoveragenotnotEqualTonumberFormatnumberFormat2numGeometriesnumInteriorRingnumPointsoctagonalenvelopeoffsetoverlapsPagedUniqueparameterparseBooleanparseDoubleparseIntparseLongpgNearestpiPointBufferspointNPointStackerPolygonExtractionpolygonizePolyLabellerpowpropertyPropertyExistsQuantileQueryqueryCollectionquerySinglerandomRangeLookupRasterAsPointCollectionRasterZonalStatisticsRasterZonalStatistics2RecodeRectangularCliprelaterelatePatternreprojectReprojectGeometryrescaleToPixelsrintroundround_2roundDoublesaturateScaleCoveragesdo_nnsetCRSshadesimplifysinsizeSnapspinsplitPolygonsqrtStandardDeviationstartAnglestartPointStoreCoveragestrAbbreviatestrCapitalizestrConcatstrDefaultIfBlankstrEndsWithstrEqualsIgnoreCasestrIndexOfstringTemplatestrLastIndexOfstrLengthstrMatchesstrPositionstrReplacestrStartsWithstrStripAccentsstrSubstringstrSubstringStartstrToLowerCasestrToUpperCasestrTrimstrTrim2strURLEncodeStyleCoveragesymDifferencetantinttoDegreestoRadianstouchestoWKTTransformTransparencyFillunionUnionFeatureCollectionUniqueUniqueIntervalVectorToRasterVectorZonalStatisticsverticeswithin