Sabaghy, Sabah; Abuzar, Mohammad; Crawford, Douglas L; McAllister, Andy; Sheffield, Kathryn (2024): Victoria Land Cover Map: Random Forest Classification Using Sentinel-2 Imagery from April 2021 - March 2022 [dataset]. PANGAEA, https://doi.pangaea.de/10.1594/PANGAEA.973963 (DOI registration in progress)
Always quote citation above when using data! You can download the citation in several formats below.
Abstract:
The land cover mapping of Victoria, Australia, for 2021/22 was conducted using Sentinel-2 satellite imagery and the random forest machine learning algorithm. This map represents the entire Victoria at a spatial resolution of 20 meters, considerably improving earlier versions that previously were developed using coarser-resolution MODIS imagery. The map follows the FAO Land Cover Classification System to maintain consistency and accuracy in defining land cover types. Sentinel-2 data from April 2020 to March 2021 have been collected to capture seasonal variation relevant to a wide range of applications, from agricultural management to environmental monitoring, including climate change modelling. The data collection was done based on the usage of Sentinel-2 Level-1C orthorectified reflectance data that were further processed with the intention of deriving temporal aggregates of both spectral bands and vegetation indices. These pre-processed data then formed the basis of training a random forest classifier, calibrated with a blend of field data and desktop-derived samples from trustworthy sources. The land cover map has been rigorously validated, achieving an overall accuracy of 86%. This dataset could serve as a base tool in policy formulation, research, and land management applications to enable informed decisions on agricultural policy-making, climate resilience initiatives, and sustainable land use practices.
Supplement to:
Sabaghy, Sabah; Abuzar, Mohammad; Crawford, Douglas L; McAllister, Andy; Sheffield, Kathryn (submitted): Remote sensing for land cover mapping across Victoria, Australia – a machine learning application. Scientific Data
Coverage:
Median Latitude: -36.560000 * Median Longitude: 145.390000 * South-bound Latitude: -39.270000 * West-bound Longitude: 140.630000 * North-bound Latitude: -33.850000 * East-bound Longitude: 150.150000
Event(s):
Parameter(s):
| # | Name | Short Name | Unit | Principal Investigator | Method/Device | Comment |
|---|---|---|---|---|---|---|
| 1 | Binary Object | Binary | Sabaghy, Sabah | MultiSpectral Instrument (MSI), Sentinel, 2A | ||
| 2 | Binary Object (File Size) | Binary (Size) | Bytes | Sabaghy, Sabah | MultiSpectral Instrument (MSI), Sentinel, 2A | |
| 3 | Binary Object (Media Type) | Binary (Type) | Sabaghy, Sabah | MultiSpectral Instrument (MSI), Sentinel, 2A | ||
| 4 | Binary Object (MD5 Hash) | Binary (Hash) | Sabaghy, Sabah | MultiSpectral Instrument (MSI), Sentinel, 2A | ||
| 5 | File content | Content | Sabaghy, Sabah |
License:
Creative Commons Attribution 4.0 International (CC-BY-4.0)
Status:
Curation Level: Enhanced curation (CurationLevelC)
Size:
4 data points
Data
All files referred to in data matrix can be downloaded in one go as ZIP or TAR. Be careful: This download can be very large! To protect our systems from misuse, we require to sign up for an user account before downloading.
| 1 Binary | 2 Binary (Size) [Bytes] | 3 Binary (Type) | 4 Binary (Hash) | 5 Content |
|---|---|---|---|---|
| 2021_22_VLUIS_LandCover_Victoria.zip | 72.2 MBytes | application/zip | 6b9cc9c000dbeeeca70cf7e4745405d8 | This GeoTIFF (88.448 KB) contains land cover information for the state of Victoria, Australia, as derived from Sentinel-2 imagery and processed using a Random Forest classifier. The dataset is provided in .tif format and is compatible with most GIS software for spatial analysis and visualization. |
| VLUIS_LandCover_202122_metadata.pdf | 244.9 kBytes | application/pdf | c09c5d393e71d5988d88be456fb0f49d | The PDF provides detailed information on the structure, classification scheme, and validation methods used during the land cover mapping process. |