landscape classification dataset

5230 - Odense M. 5240 - Odense No. The processes undertaken to produce this derived dataset are described in the History field in this metadata statement. Bioregional Assessment Derived Dataset. The remaining non-GDE terrestrial LC polygons are mainly sourced from the ACLUM catchment landuse from the PRIMARY V7 classification, and retain the source class names except that "1 Conservation and natural environments" is rename the "non-GDE Native Vegtation" LC. NAFSSR: Stereo Image Super-Resolution Using NAFNet, CVPRW 2022. 115 . Votes for this dataset are being manipulated . These were sourced from the Greater Hunter vegetation mapping. Funding for compilation of the broad-scale GIS dataset and development of the landscape classification of European Russia was provided by the Office for Scientific, Technical and Cultural Affairs (Belgium). The dataset was derived by the Bioregional Assessment Programme from multiple source datasets. Research on the dataset validation by large-scale maplet analysis was supported by the joint grant from the Royal Society (UK) and NATO. 5250 - Odense SV. The address is 436 Woodlands Street 41, #07-396, Singapore 730436. Note that because of this lc_ids in previous versions are obsolete and should be ingnored. The data in this data set is specifically for the 1971-2000 normal period. The point Spring Landscape classes are sourced from the Assets database where the centroids of the 4 Spring Asset polygons were taken. About Dataset. 1,803. This is an example of a static (in terms of thresholds) landform . The dataset was derived by the Bioregional Assessment Programme from multiple source datasets. The processes undertaken to produce this derived dataset are described in the History field in this metadata statement. This version contains an additional shapefile (HUN_Forested_Wetlands_riverine_only_within_ZoPHC.shp) which represents the Landscape class "Forested Wetlands" extracted for the riverine sections within the Zone of Potential Hydrological Change. Note for the 2016 March 9 IESC Deep Dive for GLO was necessary to tease out the Keith Forms of the "non-GDE native vegetaton" Landscape Class in order to generate areal statistics for endangered species habitats. the 4 input polygon layers were formatted and UNIONed. Abstract The classification of visual landscape character is needed in order for landscape researchers to have a frame of reference for communicating and comparing their research. Namely, the singlepart point landscape class has been re-issued as a mutlipoint shapefile. HUN Landscape Classification v03 Abstract The dataset was derived by the Bioregional Assessment Programme from multiple source datasets. The Economic Landuse LC_Group terrestrial LC polygons are mainly sourced from the ACLUM catchment landuse from the PRIMARY V7 classification, and retain the source class names except that "1 Conservation and natural environments" is renamed the "non-GDE Native Vegtation" LC. The landform classification following Meybeck et al. The point Spring Landscape classes are sourced from the Assets database where the centroids of the 4 Spring Asset polygons were taken. A further exception is the "Plantation and Production Forestry" LC. Hydrologic Landscape Classification of the U.S. Metadata Updated: November 10, 2020. Derived From National Groundwater Dependent Ecosystems (GDE) Atlas (including WA), Derived From GW Element Bores with Unknown FTYPE Hunter NSW Office of Water 20150514, Derived From HUN Landscape Classification v02, Derived From Travelling Stock Route Conservation Values, Derived From Climate Change Corridors Coastal North East NSW, Derived From Communities of National Environmental Significance Database - RESTRICTED - Metadata only, Derived From Climate Change Corridors for Nandewar and New England Tablelands, Derived From National Groundwater Dependent Ecosystems (GDE) Atlas, Derived From Fauna Corridors for North East NSW, Derived From Asset database for the Hunter subregion on 27 August 2015, Derived From Hunter CMA GDEs (DRAFT DPI pre-release), Derived From Estuarine Macrophytes of Hunter Subregion NSW DPI Hunter 2004, Derived From Geofabric Surface Network - V2.1.1, Derived From Birds Australia - Important Bird Areas (IBA) 2009, Derived From Camerons Gorge Grassy White Box Endangered Ecological Community (EEC) 2008, Derived From Atlas of Living Australia NSW ALA Portal 20140613, Derived From Spatial Threatened Species and Communities (TESC) NSW 20131129, Derived From Asset database for the Hunter subregion on 24 February 2016, Derived From Natural Resource Management (NRM) Regions 2010, Derived From Gosford Council Endangered Ecological Communities (Umina woodlands) EEC3906, Derived From NSW Office of Water Surface Water Offtakes - Hunter v1 24102013, Derived From NSW Office of Water Surface Water Entitlements Locations v1_Oct2013, Derived From Asset list for Hunter - CURRENT, Derived From Species Profile and Threats Database (SPRAT) - Australia - Species of National Environmental Significance Database (BA subset - RESTRICTED - Metadata only), Derived From Northern Rivers CMA GDEs (DRAFT DPI pre-release), Derived From GEODATA TOPO 250K Series 3, File Geodatabase format (.gdb), Derived From Ramsar Wetlands of Australia, Derived From Native Vegetation Management (NVM) - Manage Benefits, Derived From NSW Catchment Management Authority Boundaries 20130917, Derived From Geological Provinces - Full Extent, Derived From NSW Office of Water Surface Water Licences Processed for Hunter v1 20140516, Derived From Groundwater Economic Elements Hunter NSW 20150520 PersRem v02, Derived From Greater Hunter Native Vegetation Mapping with Classification for Mapping, Derived From Commonwealth Heritage List Spatial Database (CHL), Derived From Bioregional Assessment areas v03, Derived From National Heritage List Spatial Database (NHL) (v2.1), Derived From Climate Change Corridors (Dry Habitat) for North East NSW, Derived From Groundwater Entitlement Hunter NSW Office of Water 20150324, Derived From Asset database for the Hunter subregion on 20 July 2015, Derived From Bioregional_Assessment_Programme_Catchment Scale Land Use of Australia - 2014, Derived From NSW Office of Water combined geodatabase of regulated rivers and water sharing plan regions, Derived From NSW Office of Water GW licence extract linked to spatial locations for NorthandSouthSydney v3 13032014, Derived From Asset database for the Hunter subregion on 16 June 2015, Derived From Australia World Heritage Areas, Derived From Lower Hunter Spotted Gum Forest EEC 2010, Derived From New South Wales NSW Regional CMA Water Asset Information WAIT tool databases, RESTRICTED Includes ALL Reports, Derived From Greater Hunter Native Vegetation Mapping, Derived From Threatened migratory shorebird habitat mapping DECCW May 2006, Derived From NSW Office of Water - GW licence extract linked to spatial locations for North and South Sydney v2 20140228, Derived From HUN AssetList Database v1p2 20150128, Derived From New South Wales NSW - Regional - CMA - Water Asset Information Tool - WAIT - databases, Derived From Climate Change Corridors (Moist Habitat) for North East NSW, Derived From Operating Mines OZMIN Geoscience Australia 20150201, Derived From NSW Office of Water - National Groundwater Information System 20141101v02, Derived From Asset database for the Hunter subregion on 22 September 2015, Derived From Groundwater Economic Assets Hunter NSW 20150331 PersRem, Derived From Australia - Species of National Environmental Significance Database, Derived From Monitoring Power Generation and Water Supply Bores Hunter NOW 20150514, Derived From Bioregional Assessment areas v01, Derived From Bioregional Assessment areas v02, Derived From Australia, Register of the National Estate (RNE) - Spatial Database (RNESDB) Internal, Derived From Asset database for the Hunter subregion on 12 February 2015, Derived From NSW Office of Water Groundwater Entitlements Spatial Locations, Derived From NSW Office of Water Groundwater Licence Extract, North and South Sydney - Oct 2013, Derived From Directory of Important Wetlands in Australia (DIWA) Spatial Database (Public), Derived From Collaborative Australian Protected Areas Database (CAPAD) 2010 (Not current release), Derived From Darling River Hardyhead Predicted Distribution in Hunter River Catchment NSW 2015, Derived From Groundwater Dependent Ecosystems supplied by the NSW Office of Water on 13/05/2014, http://data.bioregionalassessments.gov.au/dataset/79a84caf-2782-4088-b147-ac47f50b52ac, National Groundwater Dependent Ecosystems (GDE) Atlas (including WA), GW Element Bores with Unknown FTYPE Hunter NSW Office of Water 20150514, Travelling Stock Route Conservation Values, Climate Change Corridors Coastal North East NSW, Communities of National Environmental Significance Database - RESTRICTED - Metadata only, Climate Change Corridors for Nandewar and New England Tablelands, National Groundwater Dependent Ecosystems (GDE) Atlas, Asset database for the Hunter subregion on 27 August 2015, Estuarine Macrophytes of Hunter Subregion NSW DPI Hunter 2004, Birds Australia - Important Bird Areas (IBA) 2009, Camerons Gorge Grassy White Box Endangered Ecological Community (EEC) 2008, Atlas of Living Australia NSW ALA Portal 20140613, Spatial Threatened Species and Communities (TESC) NSW 20131129, Asset database for the Hunter subregion on 24 February 2016, Natural Resource Management (NRM) Regions 2010, Gosford Council Endangered Ecological Communities (Umina woodlands) EEC3906, NSW Office of Water Surface Water Offtakes - Hunter v1 24102013, NSW Office of Water Surface Water Entitlements Locations v1_Oct2013, Species Profile and Threats Database (SPRAT) - Australia - Species of National Environmental Significance Database (BA subset - RESTRICTED - Metadata only), Northern Rivers CMA GDEs (DRAFT DPI pre-release), GEODATA TOPO 250K Series 3, File Geodatabase format (.gdb), Native Vegetation Management (NVM) - Manage Benefits, NSW Catchment Management Authority Boundaries 20130917, NSW Office of Water Surface Water Licences Processed for Hunter v1 20140516, Groundwater Economic Elements Hunter NSW 20150520 PersRem v02, Greater Hunter Native Vegetation Mapping with Classification for Mapping, Commonwealth Heritage List Spatial Database (CHL), National Heritage List Spatial Database (NHL) (v2.1), Climate Change Corridors (Dry Habitat) for North East NSW, Groundwater Entitlement Hunter NSW Office of Water 20150324, Asset database for the Hunter subregion on 20 July 2015, Bioregional_Assessment_Programme_Catchment Scale Land Use of Australia - 2014, NSW Office of Water combined geodatabase of regulated rivers and water sharing plan regions, NSW Office of Water GW licence extract linked to spatial locations for NorthandSouthSydney v3 13032014, Asset database for the Hunter subregion on 16 June 2015, New South Wales NSW Regional CMA Water Asset Information WAIT tool databases, RESTRICTED Includes ALL Reports, Threatened migratory shorebird habitat mapping DECCW May 2006, NSW Office of Water - GW licence extract linked to spatial locations for North and South Sydney v2 20140228, New South Wales NSW - Regional - CMA - Water Asset Information Tool - WAIT - databases, Climate Change Corridors (Moist Habitat) for North East NSW, Operating Mines OZMIN Geoscience Australia 20150201, NSW Office of Water - National Groundwater Information System 20141101v02, Asset database for the Hunter subregion on 22 September 2015, Groundwater Economic Assets Hunter NSW 20150331 PersRem, Australia - Species of National Environmental Significance Database, Monitoring Power Generation and Water Supply Bores Hunter NOW 20150514, Australia, Register of the National Estate (RNE) - Spatial Database (RNESDB) Internal, Asset database for the Hunter subregion on 12 February 2015, NSW Office of Water Groundwater Entitlements Spatial Locations, NSW Office of Water Groundwater Licence Extract, North and South Sydney - Oct 2013, Directory of Important Wetlands in Australia (DIWA) Spatial Database (Public), Collaborative Australian Protected Areas Database (CAPAD) 2010 (Not current release), Darling River Hardyhead Predicted Distribution in Hunter River Catchment NSW 2015, Groundwater Dependent Ecosystems supplied by the NSW Office of Water on 13/05/2014, https://data.gov.au/data/dataset/93064481-97de-4864-bda6-3a58867db351, bioregionalassessments@environment.gov.au. Pretrained and finetuned ViT models (B/16, B/32, L/16, and L/32) on ImageNet were adopted for the classification task. A further exception is the "Plantation and Production Forestry" LC. The source datasets are identified in the Lineage field in this metadata statement. We apply the hydrologic landscapes (HL) concept to assess the hydrologic vulnerability of the western United States (U.S.) to projected climate conditions. This dataset contains polygon, line shapefiles and point representing thee Hunter terrestrial and riverine Landscape Classes respectively. This dataset consists of 6 different landscapes namely; buildings, streets, glaciers, forests, deserts and XX and I'm going to use Convolutional Neural Networks (ConvNets) machine learning method to classify these images as fast as and as accurate as possible. Hyperparameters were tuned in the algorithm learning process, and the accuracy of the optimum test was evaluated. This dataset contains polygon and line shapefiles representing the Gloucester terrestrial (both a multipart and singlepart version) and riverine Landscape Classes respectively. The processes undertaken to produce this derived dataset are described in the History field in this metadata statement. Multivariate, Sequential, Time-Series . Landscape Classification. . Updated 6 years ago. Bioregional Assessment Programme (2016) HUN Landscape Classification v03. - GitHub - marasophia/Coastal_Landscape_Classification: A hand-labeled dataset of oblique arial imagery for development of coastal landscape classification/deep learning models. [Feedback Network for Mutually Boosted Stereo Image Super-Resolution and Disparity Estimation, ACM MM 2021. Code (1) Discussion (0) Metadata. This sub-LC differentiation is retained in this dataset. In this study, broadly available national datasets that are used commonly in landscape classifications ( Bunce et al., 1996a , Bunce et al., 1996b . Between v02 and v03 some reformatting has taken place to make it suitable for use in the BAIP. The processes undertaken to produce this derived dataset are described in the History field in this metadata statement. The processes undertaken to produce this derived dataset are described in the History field in this metadata statement. Close. Upvotes (0) No one has upvoted this yet. The source datasets are identified in the Lineage field in this metadata statement. Understanding the dynamic mechanisms of landscape change and the associated ecological risks in regional socioecological systems is necessary for promoting regional sustainable development. The application of deep learning, specifically deep convolutional neural networks (DCNNs), to the classification of remotely-sensed imagery of natural landscapes has the potential to greatly assist in the analysis and interpretation of geomorphic processes. Roughness and elevation are classified based on a DEM according to static thresholds, with a given window size ( e.g. where there was overlap the Landscape class was taken in the following order of precedence: 1 DPI Estuarine Macrophytes (for Saline wetlands and Seagrass LCs), 3 NSW Wetlands 2006 (for remaining Coastal Lakes and Estuaries Group LCs), 4 ACLUM 2014 (for Plantation and production forestry LC), 5 GHM Vegetation mapping ( for nonGDE Native vegetation LC), 6 ACLUM 2014 (for remaining Economic group LCs), The Riverine LC lines are derived directly from the Perreniality source dataset. Dataset History. data society twitter user profile classification prediction + 2. The remaining LCs in the River and Estuarine LC_Group are sourced from the NSW_Wetlands 2006 data. Cast upvotes to quality content to show your appreciation. Lastly lc_id fields have been re-numbered so that each landscape class has a uniqiue ID withing the subregion. Welcome to this quick read on how to use Transfer Learning to classify various landscape images like the one you see above. For the class labels we initially used the Kppen climate classification system but found that many of the climates were severely overshadowed by . The landscape classification developed in this product provides a mechanism by which receptor impact modelling ( product 2.7) can be undertaken on a large (>4000) number of assets. Classification, Clustering, Causal-Discovery . Rather "Saline Wetlands" and "Seagrass" LCs are sourced from the Marcophytes input source data. Odense (/ o d n s / OH-dn-s, US also / o n s / OATH-n-s, Danish: [ons] ()) is the third largest city in Denmark (behind Copenhagen and Aarhus) and the largest city on the island of Funen.As of 1 January 2022, the city proper had a population of 180,863 while Odense Municipality had a population of 205,978, making it the fourth largest municipality in . 5260 - Odense S. 5270 - Odense N. 5320 - Agedrup. It consists of the former counties of Funen, Ribe and South Jutland, adding ten municipalities from the former Vejle County. Restricted access. The point Spring Landscape classes are sourced from the Assets database where the centroids of the 4 Spring Asset polygons were taken. Namely, the singlepart point landscape class has been re-issued as a mutlipoint shapefile. Also the singlepart versions of the polygon and line landscape classes are omitted in this dataset to avoid confusion. The dataset was derived by the Bioregional Assessment Programme from multiple source datasets. The LSUN classification dataset contains 10 scene categories, such as dining room, bedroom, chicken, outdoor church, and so on. A balanced EEG dataset has been created to overcome this problem by randomly selecting EEG signals from each subject. For a detailed mechanistic understanding, an analysis of its conformational landscape is indispensable. Classification items were selected based on different types of reference data. The associated confusion matrix (Fig. Bioregional Assessment Derived Dataset. Also the singlepart versions of the polygon and line landscape classes are omitted in this dataset to avoid confusion. 1b-f). The dataset can be found on the Kaggle website, link :. For training data, each category contains a huge number of images, ranging from around 120,000 to 3,000,000. Bioregions and their subregions typically contain many thousands of assets. Derived From Bioregional_Assessment_Programme_Catchment Scale Land Use of Australia - 2014, Derived From NSW Office of Water Surface Water Entitlements Locations v1_Oct2013, Derived From HUN Landscape Classification v02, Derived From Travelling Stock Route Conservation Values, Derived From Climate Change Corridors Coastal North East NSW, Derived From Communities of National Environmental Significance Database - RESTRICTED - Metadata only, Derived From Climate Change Corridors for Nandewar and New England Tablelands, Derived From National Groundwater Dependent Ecosystems (GDE) Atlas, Derived From Fauna Corridors for North East NSW, Derived From Asset database for the Hunter subregion on 27 August 2015, Derived From Hunter CMA GDEs (DRAFT DPI pre-release), Derived From Estuarine Macrophytes of Hunter Subregion NSW DPI Hunter 2004, Derived From Geofabric Surface Network - V2.1.1, Derived From Birds Australia - Important Bird Areas (IBA) 2009, Derived From Camerons Gorge Grassy White Box Endangered Ecological Community (EEC) 2008, Derived From Spatial Threatened Species and Communities (TESC) NSW 20131129, Derived From Asset database for the Hunter subregion on 24 February 2016, Derived From Natural Resource Management (NRM) Regions 2010, Derived From Gosford Council Endangered Ecological Communities (Umina woodlands) EEC3906, Derived From NSW Office of Water Surface Water Offtakes - Hunter v1 24102013, Derived From National Groundwater Dependent Ecosystems (GDE) Atlas (including WA), Derived From Asset list for Hunter - CURRENT, Derived From Species Profile and Threats Database (SPRAT) - Australia - Species of National Environmental Significance Database (BA subset - RESTRICTED - Metadata only), Derived From Northern Rivers CMA GDEs (DRAFT DPI pre-release), Derived From GEODATA TOPO 250K Series 3, File Geodatabase format (.gdb), Derived From Ramsar Wetlands of Australia, Derived From Native Vegetation Management (NVM) - Manage Benefits, Derived From NSW Catchment Management Authority Boundaries 20130917, Derived From Geological Provinces - Full Extent, Derived From NSW Office of Water Surface Water Licences Processed for Hunter v1 20140516, Derived From Groundwater Economic Elements Hunter NSW 20150520 PersRem v02, Derived From Directory of Important Wetlands in Australia (DIWA) Spatial Database (Public), Derived From Atlas of Living Australia NSW ALA Portal 20140613, Derived From Bioregional Assessment areas v03, Derived From Greater Hunter Native Vegetation Mapping with Classification for Mapping, Derived From National Heritage List Spatial Database (NHL) (v2.1), Derived From GW Element Bores with Unknown FTYPE Hunter NSW Office of Water 20150514, Derived From Climate Change Corridors (Dry Habitat) for North East NSW, Derived From Groundwater Entitlement Hunter NSW Office of Water 20150324, Derived From Asset database for the Hunter subregion on 20 July 2015, Derived From NSW Office of Water combined geodatabase of regulated rivers and water sharing plan regions, Derived From NSW Office of Water GW licence extract linked to spatial locations for NorthandSouthSydney v3 13032014, Derived From Asset database for the Hunter subregion on 16 June 2015, Derived From Australia World Heritage Areas, Derived From Lower Hunter Spotted Gum Forest EEC 2010, Derived From New South Wales NSW Regional CMA Water Asset Information WAIT tool databases, RESTRICTED Includes ALL Reports, Derived From Greater Hunter Native Vegetation Mapping, Derived From Threatened migratory shorebird habitat mapping DECCW May 2006, Derived From NSW Office of Water - GW licence extract linked to spatial locations for North and South Sydney v2 20140228, Derived From HUN AssetList Database v1p2 20150128, Derived From New South Wales NSW - Regional - CMA - Water Asset Information Tool - WAIT - databases, Derived From Climate Change Corridors (Moist Habitat) for North East NSW, Derived From Operating Mines OZMIN Geoscience Australia 20150201, Derived From NSW Office of Water - National Groundwater Information System 20141101v02, Derived From Asset database for the Hunter subregion on 22 September 2015, Derived From Groundwater Economic Assets Hunter NSW 20150331 PersRem, Derived From Australia - Species of National Environmental Significance Database, Derived From Monitoring Power Generation and Water Supply Bores Hunter NOW 20150514, Derived From Bioregional Assessment areas v01, Derived From Bioregional Assessment areas v02, Derived From Australia, Register of the National Estate (RNE) - Spatial Database (RNESDB) Internal, Derived From Asset database for the Hunter subregion on 12 February 2015, Derived From NSW Office of Water Groundwater Entitlements Spatial Locations, Derived From NSW Office of Water Groundwater Licence Extract, North and South Sydney - Oct 2013, Derived From Commonwealth Heritage List Spatial Database (CHL), Derived From Collaborative Australian Protected Areas Database (CAPAD) 2010 (Not current release), Derived From Darling River Hardyhead Predicted Distribution in Hunter River Catchment NSW 2015, Derived From Groundwater Dependent Ecosystems supplied by the NSW Office of Water on 13/05/2014, http://data.bioregionalassessments.gov.au/dataset/38e3e4e1-e2ba-457e-960a-97fed0b716ec, Bioregional_Assessment_Programme_Catchment Scale Land Use of Australia - 2014, NSW Office of Water Surface Water Entitlements Locations v1_Oct2013, Travelling Stock Route Conservation Values, Climate Change Corridors Coastal North East NSW, Communities of National Environmental Significance Database - RESTRICTED - Metadata only, Climate Change Corridors for Nandewar and New England Tablelands, National Groundwater Dependent Ecosystems (GDE) Atlas, Asset database for the Hunter subregion on 27 August 2015, Estuarine Macrophytes of Hunter Subregion NSW DPI Hunter 2004, Birds Australia - Important Bird Areas (IBA) 2009, Camerons Gorge Grassy White Box Endangered Ecological Community (EEC) 2008, Spatial Threatened Species and Communities (TESC) NSW 20131129, Asset database for the Hunter subregion on 24 February 2016, Natural Resource Management (NRM) Regions 2010, Gosford Council Endangered Ecological Communities (Umina woodlands) EEC3906, NSW Office of Water Surface Water Offtakes - Hunter v1 24102013, National Groundwater Dependent Ecosystems (GDE) Atlas (including WA), Species Profile and Threats Database (SPRAT) - Australia - Species of National Environmental Significance Database (BA subset - RESTRICTED - Metadata only), Northern Rivers CMA GDEs (DRAFT DPI pre-release), GEODATA TOPO 250K Series 3, File Geodatabase format (.gdb), Native Vegetation Management (NVM) - Manage Benefits, NSW Catchment Management Authority Boundaries 20130917, NSW Office of Water Surface Water Licences Processed for Hunter v1 20140516, Groundwater Economic Elements Hunter NSW 20150520 PersRem v02, Directory of Important Wetlands in Australia (DIWA) Spatial Database (Public), Atlas of Living Australia NSW ALA Portal 20140613, Greater Hunter Native Vegetation Mapping with Classification for Mapping, National Heritage List Spatial Database (NHL) (v2.1), GW Element Bores with Unknown FTYPE Hunter NSW Office of Water 20150514, Climate Change Corridors (Dry Habitat) for North East NSW, Groundwater Entitlement Hunter NSW Office of Water 20150324, Asset database for the Hunter subregion on 20 July 2015, NSW Office of Water combined geodatabase of regulated rivers and water sharing plan regions, NSW Office of Water GW licence extract linked to spatial locations for NorthandSouthSydney v3 13032014, Asset database for the Hunter subregion on 16 June 2015, New South Wales NSW Regional CMA Water Asset Information WAIT tool databases, RESTRICTED Includes ALL Reports, Threatened migratory shorebird habitat mapping DECCW May 2006, NSW Office of Water - GW licence extract linked to spatial locations for North and South Sydney v2 20140228, New South Wales NSW - Regional - CMA - Water Asset Information Tool - WAIT - databases, Climate Change Corridors (Moist Habitat) for North East NSW, Operating Mines OZMIN Geoscience Australia 20150201, NSW Office of Water - National Groundwater Information System 20141101v02, Asset database for the Hunter subregion on 22 September 2015, Groundwater Economic Assets Hunter NSW 20150331 PersRem, Australia - Species of National Environmental Significance Database, Monitoring Power Generation and Water Supply Bores Hunter NOW 20150514, Australia, Register of the National Estate (RNE) - Spatial Database (RNESDB) Internal, Asset database for the Hunter subregion on 12 February 2015, NSW Office of Water Groundwater Entitlements Spatial Locations, NSW Office of Water Groundwater Licence Extract, North and South Sydney - Oct 2013, Commonwealth Heritage List Spatial Database (CHL), Collaborative Australian Protected Areas Database (CAPAD) 2010 (Not current release), Darling River Hardyhead Predicted Distribution in Hunter River Catchment NSW 2015, Groundwater Dependent Ecosystems supplied by the NSW Office of Water on 13/05/2014, About Welcome to the GEOSS Information Exchange Datahub [BETA], https://data.gov.au/dataset/8a9145f4-58dc-4e0a-a066-25ed45b2e90e.

Philips Warranty Registration, Barlow Model Of Panic Disorder, Lego Marvel Superheroes Deadpool Code, Cape Coral Greek Restaurants, Carolina Beach Boardwalk, Used Hotsy Pressure Washers For Sale, Spray On Mobile Home Roof Coating, Beef Stew Microwave Meal, Guntersville, Al Shopping, Acquerello Tasting Of Vegetables, Simulink Variables From Workspace, How To Deal With Anger Issues, Install Mono On Alpine Linux, Pip Install --trusted-host, Mode Of Binomial Distribution,

landscape classification datasetAuthor:

landscape classification dataset