Cargando…

VLUIS, a land use data product for Victoria, Australia, covering 2006 to 2013

Land Use Information is a key dataset required to enable an understanding of the changing nature of our landscapes and the associated influences on natural resources and regional communities. The Victorian Land Use Information System (VLUIS) data product has been created within the State Government...

Descripción completa

Detalles Bibliográficos
Autores principales:	Morse-McNabb, Elizabeth, Sheffield, Kathryn, Clark, Rob, Lewis, Hayden, Robson, Susan, Cherry, Don, Williams, Steve
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Nature Publishing Group 2015
Materias:	Data Descriptor
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4658571/ https://www.ncbi.nlm.nih.gov/pubmed/26602150 http://dx.doi.org/10.1038/sdata.2015.70

Ejemplares similares

Mapping dominant annual land cover from 2009 to 2013 across Victoria, Australia using satellite imagery
por: Sheffield, Kathryn, et al.
Publicado: (2015)

Harmonised LUCAS in-situ land cover and use database for field surveys from 2006 to 2018 in the European Union
por: d’Andrimont, Raphaël, et al.
Publicado: (2020)

Concurrent datasets on land cover and river monitoring in Fukushima decontaminated catchment during 2013–2018
por: Feng, Bin, et al.
Publicado: (2023)

A global dataset of crowdsourced land cover and land use reference data
por: Fritz, Steffen, et al.
Publicado: (2017)

A detailed land use/land cover map for the European Alps macro region
por: Marsoner, Thomas, et al.
Publicado: (2023)

CatLC: Catalonia Multiresolution Land Cover Dataset
por: García, Carlos, et al.
Publicado: (2022)

A spatio-temporal land use and land cover reconstruction for India from 1960–2010
por: Moulds, Simon, et al.
Publicado: (2018)

Dynamic World, Near real-time global 10 m land use land cover mapping
por: Brown, Christopher F., et al.
Publicado: (2022)

1 km land use/land cover change of China under comprehensive socioeconomic and climate scenarios for 2020–2100
por: Luo, Meng, et al.
Publicado: (2022)

Mapping the spatial heterogeneity of global land use and land cover from 2020 to 2100 at a 1 km resolution
por: Zhang, Tianyuan, et al.
Publicado: (2023)

A crop type dataset for consistent land cover classification in Central Asia
por: Remelgado, Ruben, et al.
Publicado: (2020)

Land use and cover maps for Mato Grosso State in Brazil from 2001 to 2017
por: Simoes, Rolf, et al.
Publicado: (2020)

MOD-LSP, MODIS-based parameters for hydrologic modeling of North American land cover change
por: Bohn, Theodore J., et al.
Publicado: (2019)

Global daily 1 km land surface precipitation based on cloud cover-informed downscaling
por: Karger, Dirk Nikolaus, et al.
Publicado: (2021)

A national-scale land cover reference dataset from local crowdsourcing initiatives in Indonesia
por: Hadi, et al.
Publicado: (2022)

Land cover dataset of the China Central-Asia West-Asia Economic Corridor from 1993 to 2018
por: Naboureh, Amin, et al.
Publicado: (2023)

Seagrass morphometrics at species level in Moreton Bay, Australia from 2012 to 2013
por: Samper-Villarreal, Jimena, et al.
Publicado: (2017)

Land cover and forest health indicator datasets for central India using very-high resolution satellite data
por: Khanwilkar, Sarika, et al.
Publicado: (2023)

Increase in Meningococcal Serogroup W Disease, Victoria, Australia, 2013–2015
por: Carville, Kylie S., et al.
Publicado: (2016)

An update on global mining land use
por: Maus, Victor, et al.
Publicado: (2022)

Sentinel2GlobalLULC: A Sentinel-2 RGB image tile dataset for global land use/cover mapping with deep learning
por: Benhammou, Yassir, et al.
Publicado: (2022)

An exploration of emergency department presentations related to high heel footwear in Victoria, Australia, 2006–2010
por: Williams, Cylie M, et al.
Publicado: (2014)

An 8-year record of phytoplankton productivity and nutrient distributions from surface waters of Saanich Inlet
por: Kafrissen, Sile M., et al.
Publicado: (2022)

A global database of land management, land-use change and climate change effects on soil organic carbon
por: Beillouin, Damien, et al.
Publicado: (2022)

Database covering the prayer movements which were not available previously
por: Mihcin, Senay, et al.
Publicado: (2023)

Aerial surveys of waterbirds in Australia
por: Kingsford, Richard T., et al.
Publicado: (2020)

Travel times to hospitals in Australia
por: Barbieri, Sebastiano, et al.
Publicado: (2019)

Hepatitis E Infections, Victoria, Australia
por: Cowie, Benjamin C., et al.
Publicado: (2005)

The photosynthetic pathways of plant species surveyed in Australia’s national terrestrial monitoring network
por: Munroe, Samantha E. M., et al.
Publicado: (2021)

Glances at the Insane in Other Lands: VI—Victoria
Publicado: (1889)

A dataset mapping the potential biophysical effects of vegetation cover change
por: Duveiller, Gregory, et al.
Publicado: (2018)

High-resolution monthly precipitation and temperature time series from 2006 to 2100
por: Karger, Dirk Nikolaus, et al.
Publicado: (2020)

Climatologies at high resolution for the earth’s land surface areas
por: Karger, Dirk Nikolaus, et al.
Publicado: (2017)

The FLUXCOM ensemble of global land-atmosphere energy fluxes
por: Jung, Martin, et al.
Publicado: (2019)

Device-associated nosocomial infection in general hospitals, Kingdom of Saudi Arabia, 2013–2016
por: Gaid, Eiman, et al.
Publicado: (2018)

Reasons for Delay in Seeking Care for Tuberculosis, Republic of Armenia, 2006–2007
por: Schneider, Dana, et al.
Publicado: (2010)

Coastal survey data for Perranporth Beach and Start Bay in southwest England (2006–2021)
por: McCarroll, R. J., et al.
Publicado: (2023)

MatchingLand, geospatial data testbed for the assessment of matching methods
por: Xavier, Emerson M. A., et al.
Publicado: (2017)

Global spatiotemporally continuous MODIS land surface temperature dataset
por: Yu, Pei, et al.
Publicado: (2022)

A battery dataset for electric vertical takeoff and landing aircraft
por: Bills, Alexander, et al.
Publicado: (2023)

Cannot write session to /tmp/vufind_sessions/sess_abhtlb8caujbtvie6ggie4c5h1