3 datasets found
  1. a

    Agro-industry

    • gis-for-secondary-schools-schools-be.hub.arcgis.com
    • hub.arcgis.com
    • +1more
    Updated Feb 20, 2017
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    World Wide Fund for Nature (2017). Agro-industry [Dataset]. https://gis-for-secondary-schools-schools-be.hub.arcgis.com/maps/3b28b8bcc5144cb685eb397979ea602f
    Explore at:
    Dataset updated
    Feb 20, 2017
    Dataset authored and provided by
    World Wide Fund for Nature
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Description

    DescriptionPalm oil mills: The data comes from FoodReg’s Known Sources palm oil mill database and directly from palm oil traders and buyers. The data represents the mills within the supply chain of at least three major palm oil buyers who wish to remain anonymous. The data does not represent the entire universe of mills, and is only representative of the mills within the supply chains of companies submitting mill data to WRI or Known Sources. The location of mills was self-reported by mill owners. All mill locations were manually verified by WRI using Google Earth imagery according to criteria for mill infrastructure including the presence of buildings, settling ponds, and nearby palm oil plantations. Mills may have duplicate names when site-level name data is missing and group name information is included. The data will be updated as new data becomes available to WRI or Known Sources.Oil palm concessions (select countries): refers to an area allocated by a government or other body for industrial-scale oil palm plantations.The oil palm concession data on GFW, while displayed as a single layer, is assembled on a country-by-country basis from multiple sources.Oil palm concession data displayed on the GFW website vary from country to country by date and data sources. Data may come from government agencies, NGOs, or other organizations. Includes:Liberia oil palm concessions: refers to an area allocated by a government or other body for industrial-scale oil palm plantations.The oil palm concession data on GFW, while displayed as a single layer, is assembled on a country-by-country basis from multiple sources.Oil palm concession data displayed on the GFW website vary from country to country by date and data sources. Data may come from government agencies, NGOs, or other organizations. This data set provides the boundaries of known oil palm plantations for Liberia and was compiled by Global Witness from available government maps. Information provided with this data set includes company, ownership group, and land area.Cameroon agro-industrial zones: This data layer shows the boundaries of agro-industrial zones, where oil palm and rubber tree plantations, as well as other crops, may be established. In Cameroon, industrial agriculture falls outside of the National Forest Estate. Agricultural plantations are allocated by the Ministry of Economy and Planning to private entities under long-term, renewable contracts, which are then monitored by the Ministry of Agriculture. The agro-industrial data set was mapped using satellite imagery, with ground-truthing to determine the crop type and operating company. Official documentation was often lacking, so boundaries should be considered approximate and nonexhaustive.Republic of the Congo oil palm concessions: This data set provides the boundaries for oil palm plantations according to the Republic of the Congo Ministry of Agriculture. Indonesia oil palm concessions: Oil palm concession refers to an area allocated by a government or other body for industrial-scale oil palm plantations. The oil palm concession data on GFW, while displayed as a single layer, is assembled on a country-by-country basis from multiple sources. Oil palm concession data displayed on the GFW website vary from country to country by date and data sources. Data may come from government agencies, NGOs, or other organizations.This data set, produced by the Indonesia Ministry of Forestry, provides the boundaries of current or planned oil palm plantations in Indonesia. This data set is known to be incomplete, but it is currently the best available. RSPO palm oil mills: this data layer displays plantation management units (PMU) certified under RSPO through May, 2013. These data are arranged by company group holding the majority shareholding in each unit.RSPO oil palm concessions (Brazil, Indonesia, Cambodia, Malaysia, Papua New Guinea and Thailand): The RSPO concession boundaries were produced by member companies and compiled by Aidenvironment.org. Other data is included from Annual Surveillance Assessments provided by the RSPO as well as third-party audit reports screened by Aidenvironment.org. SPOTT featured company concessions: SPOTT-Sustainability Policy Transparency Toolkit is an online platform supporting sustainable commodity production and trade. This database summarizes some assessments of palm oil producers and traders in relation to its operations and commitments related to environmental, social and governance (ESG) issues. RTRS Guides for Responsible Soy Expansion: The Round Table on Responsible Soy (RTRS) is a civil society organization that promotes the production, processing and marketing of responsible soy globally. It aims to promote sustainable production to reduce the social and environmental impacts of soybeans. The RTRS Responsible Soy Production Map is created based on RTRS Standards, and is intended to guide responsible expansion of soybean production for RTRS certification. The RTRS committed to create macro-scale maps for Argentina, Brazil, Bolivia, and Paraguay to identify and preserve critical ecosystems and High Conservation Value Areas (HCVAs), as well as identify opportunities for responsible expansion of soy with low levels of environmental impact. The process began in Brazil in 2012, followed by Paraguay in 2013. Additional national level maps (e.g. Argentina) are in development. These national maps are created by RTRS National Technical Groups in each country, with experts representing all levels of the supply chain to interpret the global methodology at the national level. Each group was led by local coordinators and supported by GIS companies and consultative groups, as well as BACP (IFC), IDH, 3Fi, WWF and The Gordon and Betty Moore Foundation, the principal funders of this project. The guides were developed according to Annex 4: RTRS approach to responsible conversion, page 20, of the RTRS Production Standard. The macro-scale maps show the four different categories described in Guide 4 of the Standard, and the High Conservation Value Areas assessment guides for determination and management of HCVAs. Date of update and consistency on attributes might differ as the layer is a compilation of concession data from various countries and sources. LimitationsDate of update and consistency on attributes might differ as the layers are a compilation of data from various countries and sources. CreditsPalm Oil Mills, RSPO Palm Oil Mills and Oil Palm ConcessionsGlobal Forest Watch - Data may come from government agencies, NGOs or other organizations. Accessed through GFW portal http://data.globalforestwatch.org/datasetsSPOTT featured company concessions Zoological Society of London - using data provided by Global Forest Watch from the World Resources Institute (WRI). Accessed through GFW portal http://data.globalforestwatch.org/datasetsRSTRS Guides for Responsible Soy ExpansionRound Table on Responsible Soy (RTRS). Accessed through GFW portal http://data.globalforestwatch.org/datasetsAttributesPalm Oil Millsobjectid: Assigned by WWF. Unique identifierwri_id: World Resources Institute identifiermill_name_: Name of the assetgroup_name: Name of the company operating the palm oil milliso: ISO-Alpha 3 code for the country where the mill is located. Cross-reference herecertificat: Indicates if the mill has RSPO certificationcompany_na: Name of the company operating the millglobalid: Global Forest Watch identifierx: X location in the original coordinate system of the database (WGS 1984)y: Y location in the original coordinate system of the database (WGS 1984)Oil Palm ConcessionsOBJECTID: Assigned by WWF. Unique identifierCountry: Country where the oil palm concession is locatedName: Local name of the company operating in the concessionCompany: International name of the company operating in the concessionGroup: International name of the companySub Group: Regional name of the company if appliesGroup ID: Assigned by GFW. Identifier for the Group company. Concession Type: Type of permission associated to the concessionGIS Calculated Area (ha): Reported area of the concession in hectaresSource: Original source of the concession dataLast Update: Last update of the information in the original databaseGFW ID: Global Forest Watch identifierRSPO Palm Oil MillsOBJECTID: Assigned by WWF. Unique identifierlongitude: Longitude in the original coordinate system of the database (WGS 1984)audit_stat: State of the certification process (Initial, renewal)legal_radi: Indicates werther the palm oil mill is located within a radius of up to 10 km from the palm oil concessions (Yes: 1, No: 0)illegal_ra: Indicates werther the palm oil mill is located within a radius of up to 10 km from the palm oil concessions (Yes: 0 or 1, Any other number reflects the distance in km*100)radius_umdradius_for: Presumably an indicator of the distance from the mill to the forests in the area of influenceprimary_in: Presumably an indicator of the primary forest in the areaprimary_1: Presumably an indicator of the primary forest in the areacarbon_rad: Presumably an indicator of the amount of carbon storage in the ecosystems in the area of influence (forest, peatlands, etcetera) peat_radiu: Presumably an indicator of the distance from the mill to peat lands in the area of influence peat_area_: Presumably an indicator of the area of the peatlands in the area of influencefires_radi: Presumably an indicator of the distance within the mill and identified fires in the area of influenceillegal_1: Presumably an indicator that classifies qualitatively the attribute fires_radi (low, high, medium)radius_u_1: Presumably an indicator that classifies qualitatively the attribute radius_umd (low, high, medium)radius_f_1: Presumably an indicator that classifies qualitatively the attribute radius_for (low, high, medium)primary_2: Presumably an indicator that classifies qualitatively the attribute primary_in (low, high, medium)primary_3: Presumably

  2. a

    Global Forest Watch Commodities

    • hub.arcgis.com
    Updated Jul 3, 2014
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    Blue Raster (2014). Global Forest Watch Commodities [Dataset]. https://hub.arcgis.com/items/854db7caf1a748c1a835a6e868833774
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    Dataset updated
    Jul 3, 2014
    Dataset authored and provided by
    Blue Raster
    Description

    A new initiative from the World Resources Institute (WRI) and the Roundtable on Sustainable Palm Oil (RSPO) aims to shed light on how individual oil palm concessions affect forest information that can empower companies to manage their forests and supply chains more sustainably. Global Forest Watch-Commodities (GFW-Commodities), a new platform produced by Blue Raster combines the RSPO’s maps of certified sustainable palm oil production sites with global forest data like tree cover loss, forest clearance, locations of primary forests and legal land classifications. Armed with these new maps and knowledge, companies can reduce the risk that the palm oil they purchase contributes to deforestation.WRI analysis has shown that companies, communities, NGOs and different levels of government often have different information about forest use. These maps will act as a universally available, coherent and current source of information for any of these above groups to utilize in their work to make palm oil production sustainable for the environment and the communities that rely on it.GFW-Commodities was built on Esri’s ArcGIS Server and ArcGIS API for JavaScript. It leverages the Image Extension for ArcGIS Server, to compute, analyze and provide statistics on tree cover loss over time, near real time forest clearing and fires within selected areas of interest. The analysis features come out-of-the-box with Esri’s Image Extension for ArcGIS Server. Satellite data including Landsat and MODIS are mosaiced and allow for analysis on-the-fly as users explore their areas of interest. The Global Forest Watch platform is at the forefront in its field and will continue to grow and evolve with its use, applying technology for a sustainable world. Read more about the project and WRI’s efforts towards sustainability in Wired magazine – “How a New Map of Palm Oil Plantations Could Help Save Rainforests.”

  3. a

    IvoryCoast

    • hub.arcgis.com
    Updated Jun 27, 2019
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    rspo.impacts (2019). IvoryCoast [Dataset]. https://hub.arcgis.com/datasets/897b122eea974698b8206d9c78c27d01
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    Dataset updated
    Jun 27, 2019
    Dataset authored and provided by
    rspo.impacts
    Area covered
    Description

    HCV Probability Maps

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World Wide Fund for Nature (2017). Agro-industry [Dataset]. https://gis-for-secondary-schools-schools-be.hub.arcgis.com/maps/3b28b8bcc5144cb685eb397979ea602f

Agro-industry

Explore at:
Dataset updated
Feb 20, 2017
Dataset authored and provided by
World Wide Fund for Nature
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Area covered
Description

DescriptionPalm oil mills: The data comes from FoodReg’s Known Sources palm oil mill database and directly from palm oil traders and buyers. The data represents the mills within the supply chain of at least three major palm oil buyers who wish to remain anonymous. The data does not represent the entire universe of mills, and is only representative of the mills within the supply chains of companies submitting mill data to WRI or Known Sources. The location of mills was self-reported by mill owners. All mill locations were manually verified by WRI using Google Earth imagery according to criteria for mill infrastructure including the presence of buildings, settling ponds, and nearby palm oil plantations. Mills may have duplicate names when site-level name data is missing and group name information is included. The data will be updated as new data becomes available to WRI or Known Sources.Oil palm concessions (select countries): refers to an area allocated by a government or other body for industrial-scale oil palm plantations.The oil palm concession data on GFW, while displayed as a single layer, is assembled on a country-by-country basis from multiple sources.Oil palm concession data displayed on the GFW website vary from country to country by date and data sources. Data may come from government agencies, NGOs, or other organizations. Includes:Liberia oil palm concessions: refers to an area allocated by a government or other body for industrial-scale oil palm plantations.The oil palm concession data on GFW, while displayed as a single layer, is assembled on a country-by-country basis from multiple sources.Oil palm concession data displayed on the GFW website vary from country to country by date and data sources. Data may come from government agencies, NGOs, or other organizations. This data set provides the boundaries of known oil palm plantations for Liberia and was compiled by Global Witness from available government maps. Information provided with this data set includes company, ownership group, and land area.Cameroon agro-industrial zones: This data layer shows the boundaries of agro-industrial zones, where oil palm and rubber tree plantations, as well as other crops, may be established. In Cameroon, industrial agriculture falls outside of the National Forest Estate. Agricultural plantations are allocated by the Ministry of Economy and Planning to private entities under long-term, renewable contracts, which are then monitored by the Ministry of Agriculture. The agro-industrial data set was mapped using satellite imagery, with ground-truthing to determine the crop type and operating company. Official documentation was often lacking, so boundaries should be considered approximate and nonexhaustive.Republic of the Congo oil palm concessions: This data set provides the boundaries for oil palm plantations according to the Republic of the Congo Ministry of Agriculture. Indonesia oil palm concessions: Oil palm concession refers to an area allocated by a government or other body for industrial-scale oil palm plantations. The oil palm concession data on GFW, while displayed as a single layer, is assembled on a country-by-country basis from multiple sources. Oil palm concession data displayed on the GFW website vary from country to country by date and data sources. Data may come from government agencies, NGOs, or other organizations.This data set, produced by the Indonesia Ministry of Forestry, provides the boundaries of current or planned oil palm plantations in Indonesia. This data set is known to be incomplete, but it is currently the best available. RSPO palm oil mills: this data layer displays plantation management units (PMU) certified under RSPO through May, 2013. These data are arranged by company group holding the majority shareholding in each unit.RSPO oil palm concessions (Brazil, Indonesia, Cambodia, Malaysia, Papua New Guinea and Thailand): The RSPO concession boundaries were produced by member companies and compiled by Aidenvironment.org. Other data is included from Annual Surveillance Assessments provided by the RSPO as well as third-party audit reports screened by Aidenvironment.org. SPOTT featured company concessions: SPOTT-Sustainability Policy Transparency Toolkit is an online platform supporting sustainable commodity production and trade. This database summarizes some assessments of palm oil producers and traders in relation to its operations and commitments related to environmental, social and governance (ESG) issues. RTRS Guides for Responsible Soy Expansion: The Round Table on Responsible Soy (RTRS) is a civil society organization that promotes the production, processing and marketing of responsible soy globally. It aims to promote sustainable production to reduce the social and environmental impacts of soybeans. The RTRS Responsible Soy Production Map is created based on RTRS Standards, and is intended to guide responsible expansion of soybean production for RTRS certification. The RTRS committed to create macro-scale maps for Argentina, Brazil, Bolivia, and Paraguay to identify and preserve critical ecosystems and High Conservation Value Areas (HCVAs), as well as identify opportunities for responsible expansion of soy with low levels of environmental impact. The process began in Brazil in 2012, followed by Paraguay in 2013. Additional national level maps (e.g. Argentina) are in development. These national maps are created by RTRS National Technical Groups in each country, with experts representing all levels of the supply chain to interpret the global methodology at the national level. Each group was led by local coordinators and supported by GIS companies and consultative groups, as well as BACP (IFC), IDH, 3Fi, WWF and The Gordon and Betty Moore Foundation, the principal funders of this project. The guides were developed according to Annex 4: RTRS approach to responsible conversion, page 20, of the RTRS Production Standard. The macro-scale maps show the four different categories described in Guide 4 of the Standard, and the High Conservation Value Areas assessment guides for determination and management of HCVAs. Date of update and consistency on attributes might differ as the layer is a compilation of concession data from various countries and sources. LimitationsDate of update and consistency on attributes might differ as the layers are a compilation of data from various countries and sources. CreditsPalm Oil Mills, RSPO Palm Oil Mills and Oil Palm ConcessionsGlobal Forest Watch - Data may come from government agencies, NGOs or other organizations. Accessed through GFW portal http://data.globalforestwatch.org/datasetsSPOTT featured company concessions Zoological Society of London - using data provided by Global Forest Watch from the World Resources Institute (WRI). Accessed through GFW portal http://data.globalforestwatch.org/datasetsRSTRS Guides for Responsible Soy ExpansionRound Table on Responsible Soy (RTRS). Accessed through GFW portal http://data.globalforestwatch.org/datasetsAttributesPalm Oil Millsobjectid: Assigned by WWF. Unique identifierwri_id: World Resources Institute identifiermill_name_: Name of the assetgroup_name: Name of the company operating the palm oil milliso: ISO-Alpha 3 code for the country where the mill is located. Cross-reference herecertificat: Indicates if the mill has RSPO certificationcompany_na: Name of the company operating the millglobalid: Global Forest Watch identifierx: X location in the original coordinate system of the database (WGS 1984)y: Y location in the original coordinate system of the database (WGS 1984)Oil Palm ConcessionsOBJECTID: Assigned by WWF. Unique identifierCountry: Country where the oil palm concession is locatedName: Local name of the company operating in the concessionCompany: International name of the company operating in the concessionGroup: International name of the companySub Group: Regional name of the company if appliesGroup ID: Assigned by GFW. Identifier for the Group company. Concession Type: Type of permission associated to the concessionGIS Calculated Area (ha): Reported area of the concession in hectaresSource: Original source of the concession dataLast Update: Last update of the information in the original databaseGFW ID: Global Forest Watch identifierRSPO Palm Oil MillsOBJECTID: Assigned by WWF. Unique identifierlongitude: Longitude in the original coordinate system of the database (WGS 1984)audit_stat: State of the certification process (Initial, renewal)legal_radi: Indicates werther the palm oil mill is located within a radius of up to 10 km from the palm oil concessions (Yes: 1, No: 0)illegal_ra: Indicates werther the palm oil mill is located within a radius of up to 10 km from the palm oil concessions (Yes: 0 or 1, Any other number reflects the distance in km*100)radius_umdradius_for: Presumably an indicator of the distance from the mill to the forests in the area of influenceprimary_in: Presumably an indicator of the primary forest in the areaprimary_1: Presumably an indicator of the primary forest in the areacarbon_rad: Presumably an indicator of the amount of carbon storage in the ecosystems in the area of influence (forest, peatlands, etcetera) peat_radiu: Presumably an indicator of the distance from the mill to peat lands in the area of influence peat_area_: Presumably an indicator of the area of the peatlands in the area of influencefires_radi: Presumably an indicator of the distance within the mill and identified fires in the area of influenceillegal_1: Presumably an indicator that classifies qualitatively the attribute fires_radi (low, high, medium)radius_u_1: Presumably an indicator that classifies qualitatively the attribute radius_umd (low, high, medium)radius_f_1: Presumably an indicator that classifies qualitatively the attribute radius_for (low, high, medium)primary_2: Presumably an indicator that classifies qualitatively the attribute primary_in (low, high, medium)primary_3: Presumably

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