Data

Indonesian Hybrid Landcover 2020 - Hosted Tile Layer

Commonwealth Scientific and Industrial Research Organisation
Hulthen, Andy ; Waha, Katharina
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=http://hdl.handle.net/102.100.100/442732?index=1&rft.title=Indonesian Hybrid Landcover 2020 - Hosted Tile Layer&rft.identifier=http://hdl.handle.net/102.100.100/442732?index=1&rft.publisher=Commonwealth Scientific and Industrial Research Organisation&rft.description=This dataset is a hosted tile layer of a 10m spatial resolution Land Use/Land Cover (LULC) raster grid, created from several open source data products and covering the Republic of Indonesia for the year 2019/2020. This hosted tile layer aids visualisation of the LULC data used in an interactive R Shiny application to generate landscape metrics at user defined locations.\nLineage: This hybrid landcover data was created by mosaicking together the open source data products (i) ESRI 2020 Landcover, (ii) Global industrial and smallholder oil palm, (iii) Global Human Settlement and (iv) Open Street Map.\nOil palm and human settlement data was resampled with the same origin (so that pixels align) and projection (EPSG:3857) as the ESRI 2020 Landcover data. Open street map waterways and roads were first converted from vector to raster, then resampled and projected to align with the other layers. The layers were then mosaicked together with the following ranking (high to low): Roads (Open Street Map), Waterways (Open Street Map), Global Human Settlement, Industrial and smallholder oil palm, and ESRI 2020 landcover. The LULC classes in the hybrid dataset are bare ground, built area, clouds, crops, flooded vegetation, grass, human settlement, industrial oil palm, smallholder oil palm, roads, scrub/shrub, trees, and water. The resultant raster grid was then converted to a map tile package and uploaded as a hosted tile layer to ArcGIS Online.\n&rft.creator=Hulthen, Andy &rft.creator=Waha, Katharina &rft.date=2022&rft.edition=v3&rft.relation=https://doi.org/10.5194/essd-13-1211-2021&rft.relation=http://data.europa.eu/89h/016d1a34-b184-42dc-b586-e10b915dd863&rft.coverage=westlimit=94.97; southlimit=-11.01; eastlimit=141.02; northlimit=6.08; projection=WGS84&rft_rights=Creative Commons Attribution 4.0 International Licence https://creativecommons.org/licenses/by/4.0/&rft_rights=Data is accessible online and may be reused in accordance with licence conditions&rft_rights=All Rights (including copyright) CSIRO 2022.&rft_subject=ZOOMAL&rft_subject=Indonesia&rft_subject=Landscape metrics&rft_subject=LULC&rft_subject=Geospatial information systems and geospatial data modelling&rft_subject=Geomatic engineering&rft_subject=ENGINEERING&rft_subject=Landscape ecology&rft_subject=Ecological applications&rft_subject=ENVIRONMENTAL SCIENCES&rft.type=dataset&rft.language=English Access the data

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Creative Commons Attribution 4.0 International Licence
https://creativecommons.org/licenses/by/4.0/

Data is accessible online and may be reused in accordance with licence conditions

All Rights (including copyright) CSIRO 2022.

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Brief description

This dataset is a hosted tile layer of a 10m spatial resolution Land Use/Land Cover (LULC) raster grid, created from several open source data products and covering the Republic of Indonesia for the year 2019/2020. This hosted tile layer aids visualisation of the LULC data used in an interactive R Shiny application to generate landscape metrics at user defined locations.
Lineage: This hybrid landcover data was created by mosaicking together the open source data products (i) ESRI 2020 Landcover, (ii) Global industrial and smallholder oil palm, (iii) Global Human Settlement and (iv) Open Street Map.
Oil palm and human settlement data was resampled with the same origin (so that pixels align) and projection (EPSG:3857) as the ESRI 2020 Landcover data. Open street map waterways and roads were first converted from vector to raster, then resampled and projected to align with the other layers. The layers were then mosaicked together with the following ranking (high to low): Roads (Open Street Map), Waterways (Open Street Map), Global Human Settlement, Industrial and smallholder oil palm, and ESRI 2020 landcover. The LULC classes in the hybrid dataset are bare ground, built area, clouds, crops, flooded vegetation, grass, human settlement, industrial oil palm, smallholder oil palm, roads, scrub/shrub, trees, and water. The resultant raster grid was then converted to a map tile package and uploaded as a hosted tile layer to ArcGIS Online.

Available: 2022-07-20

Data time period: 2020-01-01 to 2020-12-31

This dataset is part of a larger collection

Click to explore relationships graph

141.02,6.08 141.02,-11.01 94.97,-11.01 94.97,6.08 141.02,6.08

117.995,-2.465

Identifiers
  • Local : 102.100.100/442732