https://cdla.dev/permissive-1-0/https://cdla.dev/permissive-1-0/
Monitoring of protected areas to curb illegal activities like poaching is a monumental task. Real-time data acquisition has become easier with advances in unmanned aerial vehicles (UAVs) and sensors like TIR cameras, which allow surveillance at night when poaching typically occurs. However, it is still a challenge to accurately and quickly process large amounts of the resulting TIR data. The Benchmarking IR Dataset for Surveillance with Aerial Intelligence (BIRDSAI, pronounced “bird’s-eye”) is a long-wave thermal infrared (TIR) dataset containing nighttime images of animals and humans in Southern Africa. The dataset allows for testing of automatic detection and tracking of humans and animals with both real and synthetic videos, in order to protect animals in the real world. There are 48 real aerial TIR videos and 124 synthetic aerial TIR videos (generated with AirSim), for a total of 62k and 100k images, respectively. Tracking information is provided for each of the animals and humans in these videos. We break these into labels of animals or humans, and also provide species information when possible, including for elephants, lions, and giraffes. We also provide information about noise and occlusion for each bounding box.
Attribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
License information was derived automatically
Taiwan's unique geographical location and varied topography resulted in diverse fauna on this beautiful island. However, excessive land development and resource utilization have incessantly squeezed the space for the survival of wildlife. Wildlife conservation is not just a simple act of protection, it warrants reasonable and sustainable use of natural resources.
The Wildlife Conservation Act, enacted by Council of Agriculture (COA), Executive Yuan, is an important legal basis for wildlife management and habitat protection. Its purpose is to maintain species diversity and ecological balance. The government and related conservation organizations have designated 17 wildlife refuges. Not only are they the subject of academic researches, they are also the indicators of environmental quality. The checklist of Taiwan (TaiBNET) lists 293 endangered, rare, and other protected species of wildlife in Taiwan. The database also provides information on these species, such as their scientific names (including authors and years), common names, and synonyms. Through Taiwan Biodiversity Information Facility (TaiBIF), the information can be shared and exchanged with other GBIF participants. Users can use keywords to link to other websites with relevant information. All these efforts will result in the circulation of information in the fields of research, education and conservation, which in turn will arouse global attention to the protection of wildlife.
Attribution-NonCommercial-ShareAlike 4.0 (CC BY-NC-SA 4.0)https://creativecommons.org/licenses/by-nc-sa/4.0/
License information was derived automatically
A world without tigers is hard to imagine, but red flags are being hoisted across the tiger’s range. In Indochina, widespread poaching of tigers and wildlife continues to create empty forests, and the development of the proposed transnational economic corridors in the region will further fragment Indochina’s remaining forests and create dispersal barriers. In Sumatra and Malaysia, vast oil palm and acacia plantations are predicted to result in complete conversion of some of the richest lowland rain forests on Earth, habitats that were populated by tigers only a few years ago. The increasing demand for tiger parts for folk medicines in China and Southeast Asia and for costume adornment among Tibet’s growing middle-class has intensified threats to tigers across the range.But large mammals, including tigers, have coexisted for centuries with dense human populations. The release of the 1997 Tiger Conservation Unit Analysis identified where tigers can live in the future. During the decade since, experiences from implementing field conservation projects have confirmed that the future of wildlife conservation in Asia depends on judicious land use planning—zoning—of human use areas, core wildlife habitat, buffer zones, and corridors in large conservation landscapes to restore the harmony that once existed in the wild land-village interface of rural Asia.Learn more about the analysis and resultsThe User's Guide that highlights the remaining tiger lands—the large landscapes of habitat, often anchored by protected areas that are global priorities for conservation.The Technical Assessment: Setting Priorities for the Conservation and Recovery of Wild Tigers: 2005-2015The fate of wild tigers. BioScience, Dinerstein, E., Loucks, C.J., Wikramanayake, E., Ginsberg, J., Sanderson, E., Seidensticker, J., Forrest, J.L., Bryja, G., Heydlauff, A., Klenzendorf, S., Mills, J, O'Brien, T., Shrestha, M, Simons, R., Songer, M. 2007.
https://pacific-data.sprep.org/resource/public-data-license-agreement-0https://pacific-data.sprep.org/resource/public-data-license-agreement-0
Wildlife Conservation Society (WCS) is a conservation NGO working globallly and in PNG
https://www.data.gov.uk/dataset/a85e64d9-d0f1-4500-9080-b0e29b81fbc8/special-areas-of-conservation-england#licence-infohttps://www.data.gov.uk/dataset/a85e64d9-d0f1-4500-9080-b0e29b81fbc8/special-areas-of-conservation-england#licence-info
A Special Area of Conservation (SAC) is the land designated under Directive 92/43/EEC on the Conservation of Natural Habitats and of Wild Fauna and Flora. Data supplied has the status of "Candidate". The data does not include "proposed" Sites. Boundaries are mapped against Ordnance Survey MasterMap. Attribution statement: © Natural England copyright. Contains Ordnance Survey data © Crown copyright and database right [year]. Attribution statement: © Natural England copyright. Contains Ordnance Survey data © Crown copyright and database right [year].
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
An Open Context "predicates" dataset item. Open Context publishes structured data as granular, URL identified Web resources. This "Variables" record is part of the "Domuztepe Excavations" data publication.
The National Conservation Easement Database (NCED) is the first national database of conservation easement information, compiling records from land trusts and public agencies throughout the United States. This public-private partnership brings together national conservation groups, local and regional land trusts, and local, state and federal agencies around a common objective. This effort helps agencies, land trusts, and other organizations plan more strategically, identify opportunities for collaboration, advance public accountability, and raise the profile of what’s happening on-the-ground in the name of conservation.For an introductory tour of the NCED and its benefits check out the story map.
The National Conservation Lands Database contains data on the location and nature of private lands protected and/or managed for conservation purposes in Australia. This data set was created as part of a collaborative project between the data contributors and the Australian Government. The project was governed by a Steering Committee with representatives from five of the nine data contributors listed below. These acronyms are used in the remainder of the data. The program that contributed the data is described in the Completeness section of the metadata.DEC: Western Australian Department of Environment and Conservation DECCW: New South Wales Department of Environment, Climate Change and WaterDEH: South Australia Department of Environment and Heritage - now the Department of Climate Change, Energy, the Environment and Water and Natural ResourcesDERM: Queensland Department of Environment and Resource ManagementDPIPWE: Tasmania Department of Primary Industries, Parks, Water and EnvironmentNCT: New South Wales Nature Conservation Trusts Covenanting program NRETAS: Northern Territory Department of Natural Resources, Environment, the Arts and Sport Covenanting ProgramNTA WA: The National Trust of Australia (WA) TFN: Trust For Nature (Victoria) This 2009 (first) version of the database includes the majority of high security mechanisms operating on private land in Australia, where conservation is the sole or key objective. The data set contains all agreements from the inception of the program through which they were delivered to (and including) those established on the 30 June 2009. The department intends to annually update the database.The database contains:- an NCLD_DESC table - that contains descriptions of each agreement- an NCLD_POLY feature class - that contains all the agreement polygons- a NCLD_LABEL layer - that contains one point for each agreement that fits within an agreement polygon- a NCLD_OVERLAP_POLY feature class -that contains all agreement polygons that overlapped higher level agreement polygons. This is explained below.The polygons in this data set represent the land subject to private land conservation agreements. Each agreement is uniquely identified by AGREMT_ID. There are two polygon layers associated with the database. The principle layer is called the NCLD_POLY feature class and contains polygons of the location of the agreements. Where there are overlapping agreements, the most secure agreement is represented in the polygon layer and those agreements that were of lower security and overlapped, have been removed from the agreement polygon layer and stored in the NCLD_OVERLAP_POLY feature class. The NCLD_POLY feature class and the NCLD_OVERLAP_POLY feature class attribute table that the AGREMT_ID and few other fields. The descriptive details of each agreement are stored in the NCLD_DESC table including the GIS_AREA for the convenience of calculating statistics. This text table can be linked to the polygon layers for GIS analysis. The attributes of the NCLD_DESC table are described in the Attribute Accuracy section of this metadata. Many of the attributes are the same as those used in the Collaborative Australian Protected Area Database .In order to facilitate topology checking and analysis the NCLD_POLY feature class does not contain overlapping polygons. Overlapping agreements do occur in practice, where there is more than one agreement legally still in place at a time. To capture this information the polygon data has been processed to represent the highest security agreement at any one location in the agreements polygon layer. Agreements that are completely displaced by a higher security agreement have the value in the OVERLAP field in the text table, a GIS_AREA of 0 (zero) and the entire polygon represented only in the NCLD_OVERLAP_POLY feature class. Agreements that are only partially displaced have the displaced portion of the polygon(s) in the NCLD_OVERLAP_POLY feature class. In the agreements text table the partially displaced agreements will have the reduced value in the OVERLAP field and a GIS_AREA is the area of the remaining polygon in the NCLD_POLY feature class.All the overlaps in this version of the database occurred within the DECCW agreements. A hierarchy of highest to lower level agreements was decided in collaboration with DECCW. TYPE = Conservation Agreements were agreed to have the highest protection value, being in perpetuity, registered on title and as the agreement contains a broader range of conservation measures. TYPE = Registered property agreements were ranked the middle security level as these were registered on title and the agreements had more restricted conservation scope. The lowest level agreements were considered to be TYPE = Wildlife Refuge, as these were not registered on title and of an indefinite term and contained the lowest level of restrictions on activities and conservation measures that had to be adopted as part of the agreement compared to the other two types.The way that agreements were mapped differed between authorities and agreement types. Some types only mapped the high conservation value portion of a land parcel whereas others mapped the entire title or property or nearly the whole title and subdivided into zones with one a conservation or protected zone. For example a WA Department of Environment and Conservation Covenant does not have any zones and only covers the conservation or protected area. In contrast, a Trust for Nature Victoria Conservation Covenant is subdivided into three zones; Modified Land, Domestic Area and Protected Area.Programs that map only the high conservation value portion of a land parcel are those that have AUTHORITY of DEC, NCT, DEH, DPIPWE (most agreements) and DECCW (where TYPE is Conservation Agreement or Registered Property Agreement). In the case of AUTHORITY = NTA WA AND TYPE = National Trust Covenants the entire property is mapped and subdivided into farmland and bushland zones. In the case AUTHORITY = DECCW AND TYPE = Wildlife Refuge , the whole title was mapped (the high conservation value area is delineated on a map filed with the agreement -but not mapped in their spatial database). DERM and VIC TFN map either the entire property or part of the property and use zones to differentiate between the conservation area and areas where less restricted activity can take place. Examples of DERM Nature Refuge zone types are conservation, domestic, infrastructure, agriculture, restoration. A few DPIPWE Conservation Covenants contain zones. This data set only maps the area of the whole agreement, and does not delineate zones. Therefore although the area of the conservation part of the agreement could be the same between a DEC agreement and a NTA WA agreement, the GIS_AREA will be higher for the NTA WA agreement that also includes farmland. GIS_AREA will be higher for programs that map a larger area in addition to the high conservation value area.NOTE: This item refers to a dataset with restricted access. The related metadata is available for download as a Word document as necessary. Additional information about this dataset or requests for access to the data should be directed to geospatial@dcceew.gov.au
http://www.opendefinition.org/licenses/cc-byhttp://www.opendefinition.org/licenses/cc-by
The California Conservation Easement Database (CCED) contains lands protected under conservation easements. It is a parallel data set to the California Protected Areas Database (CPAD), which covers protected areas owned in fee. The first version of the CCED database was released in April 2014, the latest update is from June 2024.
CCED is maintained and published by GreenInfo Network (www.greeninfo.org). GreenInfo Network publishes CCED twice annually.
This data set shows point locations of Bird Conservation Areas. Bird Conservation Areas are New York State lands that have been officially designated for their value to bird conservation. Points are approximate locations and may represent large areas.
Source: https://data.ny.gov/d/9yjx-h3yi
Last updated at https://data.ny.gov/data.json : 2020-05-18
Before using the data, download the Terms of Service, https://data.ny.gov/download/77gx-ii52/application/pdf, to read the data license requirements.
http://www.opendefinition.org/licenses/cc-byhttp://www.opendefinition.org/licenses/cc-by
Please visit the User Guide to learn about using the Conservation Opportunities Modeler.
CA Nature supports the California Natural Resources Agency’s goals for equitable access for all, the conservation of the state’s biodiversity, and expanding the use of nature-based solutions to address climate change.
The Conservation Opportunities Modeler uses a technique called a Weighted Raster Overlay (WRO) to evaluate multiple factors simultaneously. You can select layers from almost 50 layers in library, assign a weight to each selected layer, and then a scores to the available variables. These are then combined to show the range of combined values across the landscape, whether high or low based on your assigned weights.
Data libraries are available to explore opportunities for access for all, biodiversity, climate mitigation and adaptation, as well as opportunities that integrate across multiple challenges. After your model is complete, run it online and explore the results through interactive summaries and comparison against data from CA Nature or other sources.
Use the Conservation Opportunities Modeler to explore opportunities through building your own scenarios.
This shapefile contains Natural Community Conservation Plan (NCCP) (some of which are also Habitat Conservation Plan (HCP)) boundaries in California. This layer may contain boundaries that are no longer active. Please confirm the status of boundaries before using them in maps and analyses. Some boundaries may be estimated. NCCPs take a broad based approach to protect habitats and species. The program began in 1991. An NCCP identifies and provides for the regional protection of plants, animals, and their habitats, while allowing compatible and appropriate economic activity. Working with landowners, environmental organizations, and other interested parties, a local agency oversees the numerous activities that compose the development of an NCCP. CDFW and the U.S. Fish and Wildlife Service provide the necessary support, direction, and guidance to NCCP participants. For more information on NCCPs please see https://www.wildlife.ca.gov/conservation/planning/nccp .
https://www.data.gov.uk/dataset/60974c59-62d1-4539-94e9-6221cd117d83/sites-of-nature-conservation-interest-snci#licence-infohttps://www.data.gov.uk/dataset/60974c59-62d1-4539-94e9-6221cd117d83/sites-of-nature-conservation-interest-snci#licence-info
This dataset comprises polygon data showing Sites of Nature Conservation Interest within Bristol. Sites of Nature Conservation Interest (SNCIs) are sites which contain features of substantive nature conservation value at a local level. The sites are designated through a Local Sites Partnership (LSP), using an agreed set of criteria. The LSP for the West of England, is formed by ecologists from each of the unitary authorities, Avon Wildlife Trust, BRERC, Natural England, Forestry Commission, Environment Agency, and the local RIGS group. These sites then receive a level of protection through local planning policy, in-line with PPS9.
A conservation easement, according to the Land Trust Alliance, is “a legal agreement between a landowner and a land trust or government agency that permanently limits uses of the land in order to protect its conservation values.” The National Conservation Easement Database (NCED) is the first national database of conservation easements in the United States. Voluntary and secure, the NCED respects landowner privacy and will not collect landowner names or sensitive information. This public-private partnership brings together national conservation groups, local and regional land trusts, and state and federal agencies around a common objective. The NCED provides a comprehensive picture of the estimated 40 million acres of privately owned conservation easement lands, recognizing their contribution to America’s natural heritage, a vibrant economy, and healthy communities.Before the NCED was created no single, nationwide system existed for sharing and managing information about conservation easements. By building the first national database and web site to access this information, the NCED helps agencies, land trusts, and other organizations plan more strategically, identify opportunities for collaboration, advance public accountability, and raise the profile of what's happening on-the-ground in the name of conservation.With the initial support of the U.S. Endowment for Forestry and Communities, NCED is the result of a collaboration between five environmental non-profits: The Trust for Public Land, Ducks Unlimited, Defenders of Wildlife, Conservation Biology Institute, and NatureServe.
http://www.opendefinition.org/licenses/cc-byhttp://www.opendefinition.org/licenses/cc-by
An inventory of Wildlife Conservation Board projects from board inception in 1949 to present (publication date). Project boundaries are approximate and used various data sources, scale and heads-up digitizing. Some of the project boundaries do not represent actual project area. See Wildlife Conservation Board's minutes and/or agenda for detailed information or contact the Board for additional information. (http://www.wcb.ca.gov/)
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Site-specific conservation objectives aim to define favourable conservation condition for Habitats Directive Annex I habitats, Annex II species at a site level and the SPA special conservation interest "wetlands and waterbirds". This project relates to the following Annex I habitats and Annex II species at specific SAC sites and SPA special conservation interest "wetlands and waterbirds"at specific SPA sites: - Sandbanks which are slightly covered by sea water all the time (1110) - Estuaries (1130) - Mudflats and sandflats not covered by sea water at low tide (1140) - Coastal lagoons (1150) - Large shallow inlets and bays (1160) - Reefs (1170) - Annual vegetation of drift lines (1210) - Perennial vegetation of stony banks (1220) - Vegetated sea cliffs of the Atlantic and Baltic coasts (1230) - Salicornia and other annuals colonising mud and sand (1310) - Atlantic salt meadows (Glauco-Puccinellietalia maritimae) (1330) - Mediterranean salt meadows (Juncetalia maritimae) (1410) - Mediterranean and thermo-Atlantic halophilous scrubs (Sarcocornetea fruticosi) (1420) -Embryonic shifting dunes (2110) - Shifting dunes along the shoreline with Ammophila arenaria ('white dunes') (2120) - Fixed coastal dunes with herbaceous vegetation ('grey dunes') (2130) - Decalcified fixed dunes with Empetrum nigrum (2140) - Atlantic decalcified fixed dunes (Calluno-Ulicetea) (2150) - Dunes with Salix repens ssp. argentea (Salicion arenariae) (2170) - Humid dune slacks (2190) - Machairs ( in Ireland) (21A0) - Turloughs (3180) - Watercourses of plain to montane levels with the Ranunculion fluitantis and Callitricho-Batrachion vegetation (3260) - European dry heaths (4030) - Juniperus communis formations on heaths or calcareous grasslands (5130) - Calaminarian grasslands of the Violetalia calaminariae (6130) - Petrifying springs with tufa formation (Cratoneurion) (7220) - Active raised bogs (7110) - Limestone Pavements (8240) - Submerged or partially submerged sea caves (8330) - Old sessile oak woods with Ilex and Blechnum in the British Isles (91A0) - Bog woodland (91D0) - Alluvial forests with Alnus glutinosa and Fraxinus excelsior (Alno-padion, Alnion incanae, Salicion albae) (91E0) - Taxus baccata woods of the British Isles (91J0) - Marine Community Types
CDFW BIOS GIS Dataset, Contact: Lisa Ohara, Description: A comprehensive set of Wildlife Conservation Board projects from board inception in 1949 to present (publication date). To provide the spatial link to the Wildlife Conservation Boards main project database.
https://www.data.gov.uk/dataset/c38194a8-e037-4718-ad6a-d034443e6e9d/nature-conservation-orders#licence-infohttps://www.data.gov.uk/dataset/c38194a8-e037-4718-ad6a-d034443e6e9d/nature-conservation-orders#licence-info
Nature Conservation Orders (NCOs) are made to protect any natural feature of land that is within (1) a site of special scientific interest (SSSI), (2) a European site or (3) other land of special interest, and where it is either being actively damaged or there is evidence that it is under threat of damage. The Orders set out certain prohibited operations and the land to which they apply.
For more information visit https://www.nature.scot/professional-advice/protected-areas-and-species/protected-areas/conservation-orders/nature-conservation-order
This graph shows the number of members by national environmental and conservation organizations in 2005-2006. The Sierra Club had 778,830 members.
This webmap feeds in to the SWAP web application. The purpose of this application is to display Missouri’s abundant natural heritage. There are over 180 native fish species, including the endemic Niangua darter, that ply the state’s aquatic habitats. More than 100 species of native amphibians and reptiles occur in a myriad of habitats from mountain-top glades to lowland swamps. Missouri supports nationally significant river and stream systems, some of the largest forested tracts left in the Midwest, a high density of cave and karst features, and some of the largest remnants of the eastern tallgrass prairie. Missouri citizens have a proud history and a strong tradition of dedication to the appreciation, conservation, and restoration of our rich natural heritage.
https://cdla.dev/permissive-1-0/https://cdla.dev/permissive-1-0/
Monitoring of protected areas to curb illegal activities like poaching is a monumental task. Real-time data acquisition has become easier with advances in unmanned aerial vehicles (UAVs) and sensors like TIR cameras, which allow surveillance at night when poaching typically occurs. However, it is still a challenge to accurately and quickly process large amounts of the resulting TIR data. The Benchmarking IR Dataset for Surveillance with Aerial Intelligence (BIRDSAI, pronounced “bird’s-eye”) is a long-wave thermal infrared (TIR) dataset containing nighttime images of animals and humans in Southern Africa. The dataset allows for testing of automatic detection and tracking of humans and animals with both real and synthetic videos, in order to protect animals in the real world. There are 48 real aerial TIR videos and 124 synthetic aerial TIR videos (generated with AirSim), for a total of 62k and 100k images, respectively. Tracking information is provided for each of the animals and humans in these videos. We break these into labels of animals or humans, and also provide species information when possible, including for elephants, lions, and giraffes. We also provide information about noise and occlusion for each bounding box.