Geologic interpretations of an aeromagnetic map of southern New England: U.S. Geological Survey Geophysical Investigations Map GP-906, scale 1:250,000. Magnetic contour intervals are 50 and 100 gammas. Includes geologic discussion and explanatory text, 12 p., 1976,1977. This map is also available as both an ESRI and Web Map Service.

A regional scale structural and stratigraphic 3D model has been developed for the western Tamworth Belt within the New England Orogen in northeastern New South Wales. The western Tamworth Belt is bound by the crustal scale Hunter-Mooki and Peel-Manning Fault systems, which together form a wedge of deformed Devonian to Permian rocks. The model consists of broad lithological volumes representing Devonian, Devonian-Carboniferous, Carboniferous and Permian rocks that are folded and offset by numerous second and third order fault systems with minor intrusion by Permian granitoids. The model is based on a series of 2 dimensional cross sections developed based on the integration of surface mapping, 16 reflection seismic profiles as well as magnetic and gravity data. Interpretation confidence volumes are provided with the model to visually represent constraint location and constraint quality. The results of the modelling provide a basis for understanding the regional structural architecture and controls on mineral systems. The model illustrates the contrast in deformation style from the northern Tamworth Belt, relative to the southeast of the belt that is more structurally complex in terms of folding and faulting. The distribution of known hydrothermal mineral systems in the Tamworth Belt appear closely linked to the fault-architecture, with most occurring around steep west-dipping fault zones that intersect or splay from the Hunter-Mooki Fault at depth. Faults of this style are more common in the southeastern Tamworth Belt than they are to the north.

This Feature Class was created in 2014 as a part of the State of Connecticut’s Policy Intergovernmental Policy Division grant to the Southern Connecticut Regional Council of Governments for the Regional Web-Based GIS program.The development of the parcel layer was started in 1998-1999 by East Coast Mapping of New Hampshire. East Coast created CAD Drawings for the Town of Wallingford generated through the digitization of Town of Wallingford’s Tax Maps. By use of stereoscopic techniques East Coast created a seamless parcel base from a 2000 aerial flight’s orthophoto’s (1x600ft scale). The CAD files and base were then given to the Wallingford’s Town Engineer who maintained the base. New England Geosystems of Middletown, CT received the CAD files from Wallingford in 2014 and converted the files to GIS format to create the parcel layer. Last Updated: April 2019

The widespread influence of land use and natural disturbance on population, community, and landscape dynamics and the long-term legacy of disturbance on modern ecosystems requires that a historical, broad-scale perspective become an integral part of modern ecological studies and conservation assessment and planning. In previous studies, the Harvard Forest Long Term Ecological Research (LTER) program has developed an integrated approach of paleoecological and historical reconstruction, meteorological modeling, air photo interpretation, GIS analyses, and field studies of vegetation and soils, to address fundamental ecological questions concerning the rates, direction, and causes of vegetation change, to evaluate controls over modern species and community distributions and landscape patterns, and to provide critical background for conservation and restoration planning. In the current study, we extend this approach to investigate the link between landscape history and the abundance, distribution, and dynamics of species, communities and landscapes of the Cape Cod to Long Island coastal region, including the islands of Martha's Vineyard, Nantucket, and Block Island. The study region includes many areas of high conservation priority that are linked geographically, historically, and ecologically. This data package includes GIS layers digitized by Harvard Forest researchers from copies of the US Coastal Survey “T-Sheet” maps available from the National Archives in College Park, Maryland. The US Coastal Survey, and then the US Coast and Geodetic Survey mapped the region, or specific parts of it, several times between 1832 and the 1960s. In this project we digitized the earliest T-Sheet available for each location. The original maps were surveyed between 1832 and 1886, with most of them made between 1835 to 1855. The original maps showed features such as roads, farm walls, railroads, buildings, some industrial buildings, saltworks, wharfs, and land cover including woodlands, sandplains, grasslands, open agricultural fields, cultivated areas, fruit tree orchards, wetlands, etc. Many sheets had symbols which differentiated conifer trees from hardwoods. There were some inconsistencies in what features were mapped or how they were drawn between the original T-Sheets. Since we digitized the maps over the course of several different research projects, we did not always digitize all of the same features in each geographic area, therefore users of this data are encouraged to look at scans of the original T-Sheets for their specific areas of interest (links below). We always digitized land cover and roads and occasionally buildings and fences as mentioned in the datasets below.

The USGS, in cooperation with NOAA, is producing detailed maps of the seafloor off southern New England. The current phase of this cooperative research program is directed toward analyzing how bathymetric relief relates to the distribution of sedimentary environments and benthic communities. As part of this program, digital terrain models (DTMs) from bathymetry collected as part of NOAA's hydrographic charting activities are converted into ESRI raster grids and imagery, verified with bottom sampling and photography, and used to produce interpretations of seabed geology and hydrodynamic processes. Although each of the 7 continuous-coverage, completed surveys individually provides important benthic environmental information, many applications require a geographically broader perspective. For example, the usefulness of individual surveys is limited for the planning and construction of cross-Sound infrastructure, such as cables and pipelines, or for the testing of regional circulation models. To address this need, we integrated the 7 contiguous multibeam bathymetric DTMs into one dataset that covers much of Block Island Sound. The new dataset is adjusted to mean lower low water, is provided in UTM Zone 19 NAD83 and geographic WGS84 projections, and is gridded to 4-m resolution. This resolution is adequate for seafloor-feature and process interpretation, but small enough to be queried and manipulated with standard GIS programs and to allow for future growth. Natural features visible in the grid include boulder lag deposits of submerged moraines, sand-wave fields, and scour depressions that reflect the strength of the oscillating tidal currents. Bedform asymmetry allows interpretations of net sediment transport. Together the merged data reveal a larger, more continuous perspective of bathymetric topography than previously available, providing a fundamental framework for research and resource management activities off this portion of the Rhode Island coast.

The USGS, in cooperation with NOAA, is producing detailed maps of the seafloor off southern New England. The current phase of this cooperative research program is directed toward analyzing how bathymetric relief relates to the distribution of sedimentary environments and benthic communities. As part of this program, digital terrain models (DTMs) from bathymetry collected as part of NOAA's hydrographic charting activities are converted into ESRI raster grids and imagery, verified with bottom sampling and photography, and used to produce interpretations of seabed geology and hydrodynamic processes. Although each of the 7 continuous-coverage, completed surveys individually provides important benthic environmental information, many applications require a geographically broader perspective. For example, the usefulness of individual surveys is limited for the planning and construction of cross-Sound infrastructure, such as cables and pipelines, or for the testing of regional circulation models. To address this need, we integrated the 7 contiguous multibeam bathymetric DTMs into one dataset that covers much of Block Island Sound. The new dataset is adjusted to mean lower low water, is provided in UTM Zone 19 NAD83 and geographic WGS84 projections, and is gridded to 4-m resolution. This resolution is adequate for seafloor-feature and process interpretation, but small enough to be queried and manipulated with standard GIS programs and to allow for future growth. Natural features visible in the grid include boulder lag deposits of submerged moraines, sand-wave fields, and scour depressions that reflect the strength of the oscillating tidal currents. Bedform asymmetry allows interpretations of net sediment transport. Together the merged data reveal a larger, more continuous perspective of bathymetric topography than previously available, providing a fundamental framework for research and resource management activities off this portion of the Rhode Island coast. Interpretations were derived from the multibeam echo-sounder data and the ground-truth data used to verify them. For more information on the ground-truth surveys see http://woodshole.er.usgs.gov/operations/ia/public_ds_info.php?fa=2011-006-FA

This storymap visualizes data from Piping Plovers that were tagged at nesting areas in southern New England and tracked during fall migration using the Motus network (www.motus.org). The storymap is available at the following link: https://storymaps.arcgis.com/stories/5bab01fc5fa445f58ee54c062b4d2f3dExplore the map below to see how Piping Plovers take flight and make their away across the Atlantic--sometimes flying as fast as 80 km an hour. For migrating plovers, wind and weather conditions play an important role in their flight departures; and stopover sites in the Mid-Atlantic provide critical habitat for rest and refueling. Here in this map, you can look at how nano-tagged Piping Plovers from Rhode Island and Massachusetts timed their migration flights with wind conditions.The storymap is available at the following link: https://storymaps.arcgis.com/stories/5bab01fc5fa445f58ee54c062b4d2f3dStory Map Created by Alex Cook, USFWS Directorate Fellowship Program 2020 Cohort

description: The USGS, in cooperation with NOAA, is producing detailed maps of the seafloor off southern New England. The current phase of this cooperative research program is directed toward analyzing how bathymetric relief relates to the distribution of sedimentary environments and benthic communities. As part of this program, digital terrain models (DTMs) from bathymetry collected as part of NOAA's hydrographic charting activities are converted into ESRI raster grids and imagery, verified with bottom sampling and photography, and used to produce interpretations of seabed geology and hydrodynamic processes. Although each of the 7 continuous-coverage, completed surveys individually provides important benthic environmental information, many applications require a geographically broader perspective. For example, the usefulness of individual surveys is limited for the planning and construction of cross-Sound infrastructure, such as cables and pipelines, or for the testing of regional circulation models. To address this need, we integrated the 7 contiguous multibeam bathymetric DTMs into one dataset that covers much of Block Island Sound. The new dataset is adjusted to mean lower low water, is provided in UTM Zone 19 NAD83 and geographic WGS84 projections, and is gridded to 4-m resolution. This resolution is adequate for seafloor-feature and process interpretation, but small enough to be queried and manipulated with standard GIS programs and to allow for future growth. Natural features visible in the grid include boulder lag deposits of submerged moraines, sand-wave fields, and scour depressions that reflect the strength of the oscillating tidal currents. Bedform asymmetry allows interpretations of net sediment transport. Together the merged data reveal a larger, more continuous perspective of bathymetric topography than previously available, providing a fundamental framework for research and resource management activities off this portion of the Rhode Island coast.Interpretations were derived from the multibeam echo-sounder data and the ground-truth data used to verify them. For more information on the ground-truth surveys see http://woodshole.er.usgs.gov/operations/ia/public_ds_info.php?fa=2011-006-FA; abstract: The USGS, in cooperation with NOAA, is producing detailed maps of the seafloor off southern New England. The current phase of this cooperative research program is directed toward analyzing how bathymetric relief relates to the distribution of sedimentary environments and benthic communities. As part of this program, digital terrain models (DTMs) from bathymetry collected as part of NOAA's hydrographic charting activities are converted into ESRI raster grids and imagery, verified with bottom sampling and photography, and used to produce interpretations of seabed geology and hydrodynamic processes. Although each of the 7 continuous-coverage, completed surveys individually provides important benthic environmental information, many applications require a geographically broader perspective. For example, the usefulness of individual surveys is limited for the planning and construction of cross-Sound infrastructure, such as cables and pipelines, or for the testing of regional circulation models. To address this need, we integrated the 7 contiguous multibeam bathymetric DTMs into one dataset that covers much of Block Island Sound. The new dataset is adjusted to mean lower low water, is provided in UTM Zone 19 NAD83 and geographic WGS84 projections, and is gridded to 4-m resolution. This resolution is adequate for seafloor-feature and process interpretation, but small enough to be queried and manipulated with standard GIS programs and to allow for future growth. Natural features visible in the grid include boulder lag deposits of submerged moraines, sand-wave fields, and scour depressions that reflect the strength of the oscillating tidal currents. Bedform asymmetry allows interpretations of net sediment transport. Together the merged data reveal a larger, more continuous perspective of bathymetric topography than previously available, providing a fundamental framework for research and resource management activities off this portion of the Rhode Island coast.Interpretations were derived from the multibeam echo-sounder data and the ground-truth data used to verify them. For more information on the ground-truth surveys see http://woodshole.er.usgs.gov/operations/ia/public_ds_info.php?fa=2011-006-FA

The Coast Guard Sectors are delineated in the description in the 33 Code of Federal Regulations (CFR) for each Sector Boundary and Area of Responsibility where latitude and longitude coordinates, as well as county/state/national boundaries are included to describe the boundaries for each zone. In addition, whenever the Area of Responsibility boundary is over water, the EEZ shapefile is referenced for those occurrences. This layer displays the Coast Guard Sector Boundaries for the following sectorsAnchorage, Baltimore, Boston, Buffalo, Charleston, Columbia River, Corpus Christi, Delaware Bay, Detroit, Guam, Hampton Roads, Honolulu, Houston - Galveston, Humboldt Bay, Jacksonville, Juneau, Key West, Lake Michigan, Long Island Sound, Los Angeles - Long Beach, Lower Mississippi, Miami, Mobile, New Orleans, New York, North Bend, North Carolina, Northern New England, Ohio Valley, Puget Sound, San Diego, San Francisco, San Juan, Sault Ste Marie, Southeastern New England, St. Petersburg, and Upper Mississippi.

This storymap visualizes data from Piping Plovers that were tagged at nesting areas in southern New England and tracked during fall migration using the Motus network (www.motus.org). The storymap is available at the following link: https://storymaps.arcgis.com/stories/5bab01fc5fa445f58ee54c062b4d2f3dExplore the map below to see how Piping Plovers take flight and make their away across the Atlantic--sometimes flying as fast as 80 km an hour. For migrating plovers, wind and weather conditions play an important role in their flight departures; and stopover sites in the Mid-Atlantic provide critical habitat for rest and refueling. Here in this map, you can look at how nano-tagged Piping Plovers from Rhode Island and Massachusetts timed their migration flights with wind conditions.The storymap is available at the following link: https://storymaps.arcgis.com/stories/5bab01fc5fa445f58ee54c062b4d2f3dStory Map Created by Alex Cook, USFWS Directorate Fellowship Program 2020 Cohort

This map shows the boundaries of regions, shires and municipalities as from 1 January 1967. The map is annotated to show the areas transferred from the Namoi to the New England Region.

The scale is 48 miles = 7/8 inch.


(SR Map No.52734). 1 map.

Note:
This description is extracted from Concise Guide to the State Archives of New South Wales, 3rd Edition 2000.

New England Vegetation Survey - Royal Botanic Gardens Veg Data for Guyra Map Sheet. The NEV(New England Vegetation Survey - Royal Botanic Gardens Veg Data for Guyra Map Sheet) Survey is part of the Vegetation Information System Survey Program of New South Wales which is a series of systematic vegetation surveys conducted across the state between 1970 and the present. Please use the following URL to access the dataset: http://aekos.org.au/collection/nsw.gov.au/nsw_atlas/vis_flora_module/NEV

This storymap visualizes data from Piping Plovers that were tagged at nesting areas in southern New England and tracked during fall migration using the Motus network (www.motus.org). The storymap is available at the following link: https://storymaps.arcgis.com/stories/5bab01fc5fa445f58ee54c062b4d2f3dExplore the map below to see how Piping Plovers take flight and make their away across the Atlantic--sometimes flying as fast as 80 km an hour. For migrating plovers, wind and weather conditions play an important role in their flight departures; and stopover sites in the Mid-Atlantic provide critical habitat for rest and refueling. Here in this map, you can look at how nano-tagged Piping Plovers from Rhode Island and Massachusetts timed their migration flights with wind conditions.The storymap is available at the following link: https://storymaps.arcgis.com/stories/5bab01fc5fa445f58ee54c062b4d2f3dStory Map Created by Alex Cook, USFWS Directorate Fellowship Program 2020 Cohort

Coastal erosion is a widespread process along most open-ocean shores of the United States that affects both developed and natural coastlines. As the coast changes, there are a wide range of ways that change can affect coastal communities, habitats, and the physical characteristics of the coast-including beach erosion, shoreline retreat, land loss, and damage to infrastructure. The U.S. Geological Survey (USGS) is responsible for conducting research on coastal change hazards, understanding the processes that cause coastal change, and developing models to forecast future change. To understand and adapt to shoreline change, accurate information regarding the past and present configurations of the shoreline is essential. A comprehensive, nationally consistent analysis of shoreline movement is needed. To meet this national need, the USGS is conducting an analysis of historical shoreline changes along open-ocean coasts of the United States and parts of the Great Lakes. As more data are gathered, periodic updates are made, which provide information that can be used in multidisciplinary assessments of global change impacts.

Map Service showing whole of state structural framework data sets maintained by the Department of Resources. The data sets are organised by layers including: Structural Framework all (0)Structural Framework by Age or Orogen (1)Jurassic-Cretaceous Basins (2)Carpentaria Basin (3)Clarence-Moreton Basin (4)Eromanga Basin (5)Laura Basin (6)Maryborough Basin (7)Mulgildie Basin (8)Nambour Basin (9)Styx Basin (10)Surat Basin (11)Whitsunday Province (12)Triassic Basins (13)Burketown Depression (14)Callide Basin (15)Canobie Depression (16)Esk Basin (17)Ipswich Basin (18)Tarong Basin (19)Permian-Triassic Basins (20)Bowen Basin (21)Calen Basin (22)Cooper Basin (23)Galilee Basin (24)Gamboola Basin (25)Lakefield Basin (26)Ngarrabullgan Basin (27)Olive River Basin (28)Cape York-Oriomo Province (29)Devonian-Carboniferous Basins (30)Adavale Basin (31)Barrolka Depression (32)Belyando Basin (33)Bundock Basin (34)Burdekin Basin (35)Clarke River Basin (36)Drummond Basin (37)Gilberton Basin (38)Pascoe River Basin (39)Warrabin Trough (40)Centralian Superbasin (41)Georgina Basin (42)Basins of Unknown Age (43)Inorunie Basin (44)Millungera Basin (45)New England Orogen (46)Gympie Province (47)Connors-Auburn Province (48)Auburn Subprovince (49)Connors Subprovince (50)Yarrol Province (51)Berserker Subprovince (52)Campwyn Subprovince (53)Grantleigh Subprovince (54)Nogo Subprovince (55)Rockhampton Subprovince (56)Stoodleigh Subprovince (57)Wandilla Province (58)Beenleigh Subprovince (59)Coastal Subprovince (60)North D Aguilar Subprovince (61)South D Aguilar Subprovince (62)Yarraman Subprovince (63)Woolomin Province (64)Silver Spur Subprovince (65)Texas Subprovince (66)Calliope Province (67)Awoonga Subprovince (68)Capella Subprovince (69)Craigilee Subprovince (70)Erebus Subprovince (71)Philpott Subprovince (72)Marlborough Province (73)Silverwood Province (74)New England Orogen extent (75)Mossman Orogen (76)Broken River Province (77)Camel Creek Subprovince (78)Graveyard Creek Subprovince (79)Hodgkinson Province (80)Chillagoe Subprovince (81)Palmer-Barron Subprovince (82)Mossman Orogen extent (83)Thomson Orogen (84)Neoproterozoic-Early Paleozoic Provinces (85)Anakie Province (86)Barnard Province (87)Charters Towers Province (88)Fork Lagoons Subprovince (89)Greenvale Province (90)Iron Range Province (91)Mount Windsor Subprovince (92)Warburton Basin (93)Thomson Orogen extent (94)Proterozoic Provinces (95)Mesoproterozoic (96)South Nicholson Basin (97)Croydon Province (98)Savannah Province (99)Paleoproterozoic-Mesoproterozoic (100)Etheridge Province (101)McArthur Basin (102)Mount Isa Province (103)North Australian Craton extent (104)

Map of 35 NSW-listed threatened ecological communities (TECs) within Greater Sydney. The map is derived from a number of best available mapping products and expert input. While the distribution of a number of TECs extends beyond Greater Sydney, their distribution beyond the study area is not represented in this map, with two exceptions: the Blue Mountains Basalt Forest and Pittwater and Wagstaffe Spotted Gum Forest TECs.

The methodology and scale of best available sources used to derive the map vary, with concomitant variation in currency, coverage, spatial precision and attribution accuracy. There are known gaps in coverage due to the lack of mapping sources in some locations within the study area (including, but not limited to the Grose Valley near Wollangambe, Ebenezer, Cattai, west of Mulgoa and west of Thirlmere). Limitations of this map include: areas not identified as TEC may be TEC, areas identified as TEC may not be TEC, and areas identified as a TEC may be a different TEC. Accordingly, property-scale assessments should inform activities, plans and proposals at the property scale.

Mapping is updated frequently via expert input. The map data informs the Biodiversity Values Map, Native Vegetation Regulatory Map, Rural Fire Service 10/50 tool and High Environmental Values Greater Sydney map.

For more information about the map, refer to the report 'Map of threatened ecological communities in Greater Sydney'.

TECs included in this map are:

• Agnes Banks Woodland in the Sydney Basin Bioregion
• Bangalay Sand Forest of the Sydney Basin and South East Corner bioregions
• Blue Gum High Forest in the Sydney Basin Bioregion
• Blue Mountains Basalt Forest in the Sydney Basin Bioregion
• Blue Mountains Shale Cap Forest in the Sydney Basin Bioregion
• Blue Mountains Swamps in the Sydney Basin Bioregion
• Castlereagh Scribbly Gum Woodland in the Sydney Basin Bioregion
• Castlereagh Swamp Woodland
• Coastal Saltmarsh in the NSW North Coast, Sydney Basin and South East Corner bioregions
• Coastal Upland Swamp in the Sydney Basin Bioregion
• Cooks River/Castlereagh Ironbark Forest in the Sydney Basin Bioregion
• Cumberland Plain Woodland in the Sydney Basin Bioregion
• Duffys Forest Ecological Community in the Sydney Basin Bioregion
• Eastern Suburbs Banksia Scrub in the Sydney Basin Bioregion
• Elderslie Banksia Scrub Forest in the Sydney Basin Bioregion
• Freshwater wetlands on coastal floodplains of the NSW North Coast, Sydney Basin and South-East Corner bioregions
• Hygrocybeae Community of Lane Cove Bushland Park in the Sydney Basin Bioregion
• Kurnell Dune Forest in the Sutherland Shire and the City of Rockdale
• Littoral Rainforest in the NSW North Coast, Sydney Basin and South East Corner bioregions
• Maroota Sands Swamp Forest
• Moist Shale Woodland in the Sydney Basin Bioregion
• Montane Peatlands and Swamps of the New England Tableland, NSW North Coast, Sydney Basin, South East Corner, South Eastern Highlands and Australian Alps bioregions
• O'Hares Creek Shale Forest
• Pittwater and Wagstaffe Spotted Gum Forest in the Sydney Basin Bioregion
• River-flat Eucalypt Forest on Coastal Floodplain of the NSW North Coast, Sydney Basin and South East Corner bioregions
• Shale Sandstone Transition Forest in the Sydney Basin Bioregion
• Southern Sydney Sheltered Forest on Transitional Sandstone Soils in the Sydney Basin Bioregion
• Sun Valley Cabbage Gum in the Sydney Basin Bioregion
• Swamp Oak Floodplain Forest of the NSW North Coast, Sydney Basin and South East Corner bioregions
• Swamp Sclerophyll Forest on Coastal Floodplains of the NSW North Coast, Sydney Basin and South East Corner bioregions
• Sydney Freshwater Wetlands in the Sydney Basin Bioregion
• Sydney Turpentine-Ironbark Forest in the Sydney Basin Bioregion
• The Shorebird Community occurring on the relict tidal delta sands at Taren Point
• Themeda Grassland on Seacliffs and Coastal Headlands in the NSW North Coast, Sydney Basin and South East Corner bioregions
• Western Sydney Dry Rainforest in the Sydney Basin Bioregion

The COVID-19 dashboard includes data on city/town COVID-19 activity, confirmed and probable cases of COVID-19, confirmed and probable deaths related to COVID-19, and the demographic characteristics of cases and deaths.

AbstractCatchment Scale Land Use of Australia (CLUM) depicted into 33 classes based on the secondary classes of the Australian Land Use and Management (ALUM) Classification version 8. Classes are aggregated to nature conservation, managed resource protection, other minimal use, grazing, forestry, plantations, cropping, horticulture, pastures, intensive agriculture, urban, rural residential, mining and water with irrigation status.The Catchment Scale Land Use of Australia – Update December 2023 version 2 dataset is the national compilation of catchment scale land use data available for Australia, as at December 2023. It replaces the Catchment Scale Land Use of Australia – Update December 2020.It is a seamless raster dataset that combines land use data for all state and territory jurisdictions, compiled at a resolution of 50 metres by 50 metres. The CLUM data shows a single dominant land use for a given area, based on the primary management objective of the land manager (as identified by state and territory agencies).Land use is classified according to the Australian Land Use and Management Classification version 8. It has been compiled from vector land use datasets collected as part of state and territory mapping programs and other authoritative sources, through the Australian Collaborative Land Use and Management Program. Catchment scale land use data was produced by combining land tenure and other types of land use information including, fine-scale satellite data, ancillary datasets, and information collected in the field.The date of mapping (2008 to 2023) and scale of mapping (1:5,000 to 1:250,000) vary, reflecting the source data, capture date and scale. Date and scale of mapping are provided in supporting datasets.CurrencyDate modified: June 2024Modification frequency: As requiredData extentSpatial extentNorth: -8.03°South: -45.5°East: 161.5°West: 105.7°Source informationData, Metadata, Maps and Interactive views are available from Catchment Scale Land Use of Australia - Update December 2023Catchment Scale Land Use of Australia - Update December 2023 – Descriptive metadataThe data was obtained from Department of Agriculture, Fisheries and Forestry - Australian Bureau of Agricultural and Resource Economics and Sciences (ABARES). ABARES is providing this data to the public under a Creative Commons Attribution 4.0 license.Lineage statementABARES has produced this raster dataset from vector catchment scale land use data provided by state and territory agencies, as follows:Catchment Scale Land Use Mapping for the Australian Capital Territory 20122017 NSW Land Use v1.5Land Use Mapping Project of the Northern Territory, 2016 – 2022 (LUMP)Land use mapping – 2021 – Great Barrier Reef NRM regionsLand use mapping – 1999 to Current – Queensland (June 2019)[South Australia] Land Use (ACLUMP) (2017)Tasmanian Land Use 2022Victorian Land Use Information System [VLUIS] 2021-22Catchment Scale Land Use Mapping for Western Australia 2018Australian Tree Crops, Australian Protected Cropping Structures and Queensland Soybean Crops maps (as at 30 November 2023)Applied Agricultural Remote Sensing Centre (AARSC), University of New England.Links to land use mapping datasets and metadata are available at the ACLUMP data download page at agriculture.gov.au.State and territory vector catchment scale land use data were produced by combining land tenure and other types of land use information, fine-scale satellite data and information collected in the field, as outlined in 'Guidelines for land use mapping in Australia: principles, procedures and definitions, 4th edition' (ABARES 2011). The Northern Territory, Queensland, South Australia, Tasmania, Victoria and Western Australia were mapped to version 8 of the ALUM classification (‘The Australian Land Use and Management Classification Version 8’, ABARES 2016).The Australian Capital Territory was mapped to version 7 of the ALUM classification and converted to version 8 using a look-up table based on Appendix 1 of ABARES (2016).The following agricultural (excluding intensive uses) classes were included from the Queensland Great Barrier Reef NRM Regions 2021 modified ALUM classification schema dataset:2.2.0 Grazing native vegetation3.2.0 Grazing modified pastures3.3.0 Cropping3.3.5 Sugar3.4.0 Perennial horticulture3.4.1 Tree fruits3.5.0 Seasonal horticulture3.6.0 Land in transition4.2.0 Grazing irrigated modified pastures4.3.0 Irrigated cropping4.3.5 Irrigated sugar4.4.0 Irrigated perennial horticulture4.4.1 Irrigated tree fruits4.5.0 Irrigated seasonal horticulture4.6.0 Irrigated land in transitionFixes to known issues include:In Western Australia, ALUM classes 4.0.0 Production from Irrigated Agriculture and Plantations, 5.0.0 Intensive Uses and 6.0.0 Water have been attributed to secondary level by visual interpretation using satellite data.In South Australia, through consultation with the South Australian Department of Environment and Water, the mining area (ALUM class 5.8.0 Mining) within mining tenements is more accurately delineated. The area within mining tenements that is not used for mining is now attributed as grazing of native vegetation (ALUM class 2.1.0) within pastoral areas and residual native cover (ALUM class 1.3.3) outside of pastoral areas.NODATA voids in Adelaide, South Australia were filled with data from mesh block land use attributes (Australian Bureau of Statistics 2021) according to Table 8. All other NODATA voids were filled using the ESRI ArcGIS focal statistics command.For the purposes of web viewing, the data was reprojected to EPSG:3857 - Web Mercator.Land use classificationThe Australian Land Use and Management (ALUM) Classification version 8 is a three-tiered hierarchical structure. There are five primary classes, identified in order of increasing levels of intervention or potential impact on the natural landscape. Water is included separately as a sixth primary class. Primary and secondary levels relate to the principal land use. Tertiary classes may include additional information on commodity groups, specific commodities, land management practices or vegetation information. The primary, secondary and tertiary codes work together to provide increasing levels of detail about the land use. Land may be subject to concurrent uses. For example, while the main management objective of a multiple-use production forest may be timber production, it may also provide conservation, recreation, grazing and water catchment land uses. In these cases, production forestry is commonly identified in the ALUM code as the prime land use.Table 1: Secondary land use classification symbology as RGB and hexadecimal colour valuesVALUE (ALUM)SECV8RedGreenBlueHex110; 111; 112; 113; 114; 115; 116; 1171.1 Nature conservation150102204#9666CC120; 121; 122; 123; 124; 1251.2 Managed resource protection201190255#C9BEFF130; 131; 132; 133; 1341.3 Other minimal use222135221#DE87DD2102.1 Grazing native vegetation255255229#FFFFE5220; 221; 2222.2 Production native forests4113768#298944310; 311; 312; 313; 3143.1 Plantation forests173255181#ADFFB5320; 321; 322; 323; 324; 3253.2 Grazing modified pastures255211127#FFD37F330; 331; 332; 333; 334.; 335; 336; 337; 3383.3 Cropping2552550#FFFF00340; 341; 342; 343; 344; 345; 346; 347; 348; 3493.4 Perennial horticulture171135120#AB8778350; 351; 352; 3533.5 Seasonal horticulture875864#573A40360; 361; 362; 363; 364; 3653.6 Land in transition000#000000410; 411; 412; 413; 4144.1 Irrigated plantation forests236255224#ECFFE0420; 421; 422; 423; 4244.2 Grazing irrigated modified pastures2551700#FFAA00430; 431; 432; 433; 434; 435; 436; 437; 438; 4394.3 Irrigated cropping20118484#C9B854440; 441; 442; 443; 444; 445; 446; 447; 448; 4494.4 Irrigated perennial horticulture1568446#9C542E450; 451; 452; 453; 4544.5 Irrigated seasonal horticulture794323#4F2B17460; 461; 462; 463; 464; 4654.6 Irrigated land in transition525252#343434510; 511; 512; 513; 514; 5155.1 Intensive horticulture255201190#FFC9BE520; 521; 522; 523; 524; 525; 526; 527; 5285.2 Intensive animal production255135190#FF87BE530; 531; 532; 533; 534; 535; 536; 537; 5385.3 Manufacturing and industrial115760#734C00540; 5415.4.0, 5.4.1 Urban residential25500#FF0000542; 543; 544; 5455.4.2, 5.4.3, 5.4.4, 5.4.5 Rural residential and farm infrastructure156156156#9C9C9C550; 551; 552; 553; 554; 5555.5 Services15500#9B0000560; 561; 562; 563; 564; 565; 566; 5675.6 Utilities255127127#FF7F7F570; 571; 572; 573; 574; 5755.7 Transport and communication16800#A80000580; 581; 582; 583; 5845.8 Mining71130143#47828F590; 591; 592; 593; 594; 5955.9 Waste treatment and disposal417382#294952610; 611; 612; 613; 6146.1 Lake00255#0000FF620; 621; 622; 6236.2 Reservoir/dam0197255#00C5FF630; 631; 632; 6336.3 River0112255#0070FF640; 641; 642; 6436.4 Channel/aqueduct077168#004DA8650; 651; 652; 653; 6546.5 Marsh/wetland115178255#73B2FF660; 661; 662; 6636.6 Estuary/coastal waters190210255#BED2FFData dictionaryAttribute nameDescriptionOIDInternal feature number that uniquely identifies each row.VALUEALUM code as a three digit integer. First digit is primary code, second digit is secondary code, and third digit is tertiary code.COUNTCount of the number of raster cells in each class of VALUE.LU_CODEV8ALUM code as a string.LU_V8NALUM code as a three digit integer. First digit is primary code, second digit is secondary code, and third digit is tertiary code.TERTV8ALUM tertiary code and description as a string.SECV8ALUM secondary code and description as a string.PRIMV8ALUM primary code and description as a string.SIMPNCode for simplified land use classification.SIMPDescription of the simplified land use classification.AGINDDescription of agricultural industries.Red, Green, BlueRGB values for classification colours ContactDepartment of Agriculture, Fisheries and Forestry (ABARES), info.ABARES@aff.gov.au

The USGS, in cooperation with NOAA, is producing detailed maps of the seafloor off southern New England. The current phase of this cooperative research program is directed toward analyzing how bathymetric relief relates to the distribution of sedimentary environments and benthic communities. As part of this program, digital terrain models (DTMs) from bathymetry collected as part of NOAA's hydrographic charting activities are converted into ESRI raster grids and imagery, verified with bottom sampling and photography, and used to produce interpretations of seabed geology and hydrodynamic processes. Although each of the 7 continuous-coverage, completed surveys individually provides important benthic environmental information, many applications require a geographically broader perspective. For example, the usefulness of individual surveys is limited for the planning and construction of cross-Sound infrastructure, such as cables and pipelines, or for the testing of regional circulation models. To address this need, we integrated the 7 contiguous multibeam bathymetric DTMs into one dataset that covers much of Block Island Sound. The new dataset is adjusted to mean lower low water, is provided in UTM Zone 19 NAD83 and geographic WGS84 projections, and is gridded to 4-m resolution. This resolution is adequate for seafloor-feature and process interpretation, but small enough to be queried and manipulated with standard GIS programs and to allow for future growth. Natural features visible in the grid include boulder lag deposits of submerged moraines, sand-wave fields, and scour depressions that reflect the strength of the oscillating tidal currents. Bedform asymmetry allows interpretations of net sediment transport. Together the merged data reveal a larger, more continuous perspective of bathymetric topography than previously available, providing a fundamental framework for research and resource management activities off this portion of the Rhode Island coast. For more information on the ground-truth surveys see http://woodshole.er.usgs.gov/operations/ia/public_ds_info.php?fa=2011-006-FA

The surficial geologic map of the Eastern and Central United States depicts the areal distribution of surficial geologic deposits and other materials that accumulated or formed during the past 2+ million years, the period that includes all activities of the human species. These materials are at the surface of the earth. They make up the "ground" on which we walk, the "dirt" in which we dig foundations, and the “soil” in which we grow crops. Most of our human activity is related in one way or another to these surface materials that are referred to collectively by many geologists as regolith, the mantle of fragmental and generally unconsolidated material that overlies the bedrock foundation of the continent. The map is based on 31 published maps in the U.S. Geological Survey's Quaternary Geologic Atlas of the United States map series (U.S. Geological Survey Miscellaneous Investigations Series I-1420). It was compiled at 1:1,000,000 scale, to be viewed as a digital map at 1:2,000,000 nominal scale and to be printed as a conventional paper map at 1:2,500,000 scale. This map is not a map of soils as recognized and classified in agriculture. Rather, it is a generalized map of soils as recognized in engineering geology, or of substrata or parent materials in which agricultural, agronomic, or pedologic soils are formed. Where surficial deposits or materials are thick, agricultural soils are developed only in the upper part of the engineering soils. Where they are very thin, agricultural soils are developed through the entire thickness of a surficial deposit or material. The surficial geologic map provides a broad overview of the areal distribution of surficial deposits and materials. It identifies and depicts more than 150 types of deposits and materials. In general, the map units are divided into two major categories, surface deposits and residual materials. Surface deposits are materials that accumulated or were emplaced after component particles were transported by ice, water, wind, or gravity. The glacial sediments that cover the surface in much of the northern United States east of the Rocky Mountains are in this category, as are the gravel, sand, silt, and clay that were deposited in past and present streams, lakes, and oceans. In contrast, residual materials formed in place, without significant transport of component particles by ice, water, wind, or gravity. They are products of modification or alteration of pre-existing surficial deposits, surficial materials, or bedrock. For example, intense weathering of solid rock, or even stream deposits, by chemical processes may produce a residual surficial material that is greatly transformed from its original physical and chemical state. In recent years, surficial deposits and materials have become the focus of much interest by scientists, environmentalists, governmental agencies, and the general public. They are the foundations of ecosystems, the materials that support plant growth and animal habitat, and the materials through which travels much of the water required for our agriculture, our industry, and our general well being. They also are materials that easily can become contaminated by pesticides, fertilizers, and toxic wastes. In this context, the value of the surficial geologic map is evident The map and its digital database provide information about four major aspects of the surficial materials, through description of more than 150 types of materials and depiction of their areal distribution. The map unit descriptions provide information about (1) genesis (processes of origin) or environments of deposition (for example, deposits related to glaciation (glacial deposits), flowing water (alluvial deposits), lakes (lacustrine deposits), wind (eolian deposits), or gravity (mass-movement deposits)), (2) age (for example, how long ago the deposits accumulated or were emplaced or how long specific processes have been acting on the materials), (3) properties (the chemical, physical, and mechanical or engineering characteristics of the materials), and (4) thickness or depth to underlying deposits or materials or to bedrock. This approach provides information appropriate for a broad user base. The map is useful to national, state, and other governmental agencies, to engineering and construction companies, to environmental organizations and consultants, to academic scientists and institutions, and to the layman who merely wishes to learn more about the materials that conceal the bedrock. The map can facilitate regional and national overviews of (1) geologic hazards, including areas of swelling clay and areas of landslide deposits and landslide-prone materials, (2) natural resources, including aggregate for concrete and road building, peat, clay, and shallow sources for groundwater, and (3) areas of special environmental concern, i... Visit https://dataone.org/datasets/d863e647-d00d-4994-89bc-be4be9d4adf0 for complete metadata about this dataset.