Data

Indonesian Hybrid Landcover 2020 - GeoTIFF

Commonwealth Scientific and Industrial Research Organisation
Hulthen, Andy ; Waha, Katharina
Viewed: [[ro.stat.viewed]] Cited: [[ro.stat.cited]] Accessed: [[ro.stat.accessed]]
ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.25919/8624-rg56&rft.title=Indonesian Hybrid Landcover 2020 - GeoTIFF&rft.identifier=https://doi.org/10.25919/8624-rg56&rft.publisher=Commonwealth Scientific and Industrial Research Organisation&rft.description=This dataset is a 10m resolution, Land Use/Land Cover (LULC) GeoTIFF, created from several open source data products and covering the Republic of Indonesia and the Federation of Malaysia for the year 2019/2020. This dataset is used in an interactive R Shiny application to generate landscape metrics at user defined locations.\nLineage: This hybrid landcover GeoTIFF 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.&rft.creator=Hulthen, Andy &rft.creator=Waha, Katharina &rft.date=2024&rft.edition=v4&rft.relation=https://doi.org/10.5194/essd-13-1211-2021&rft.coverage=westlimit=94.97; southlimit=-11.01; eastlimit=141.02; northlimit=7.390000000000001; 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
Cite Saved to MyRDA Save to MyRDA

Licence & Rights:

Open Licence view details
CC-BY

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.

Access:

Open view details

Accessible for free

Contact Information



Brief description

This dataset is a 10m resolution, Land Use/Land Cover (LULC) GeoTIFF, created from several open source data products and covering the Republic of Indonesia and the Federation of Malaysia for the year 2019/2020. This dataset is used in an interactive R Shiny application to generate landscape metrics at user defined locations.
Lineage: This hybrid landcover GeoTIFF 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.

Available: 2024-01-02

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

This dataset is part of a larger collection

Click to explore relationships graph
Help

Related Publications

Related Data

Related People

141.02,7.39 141.02,-11.01 94.97,-11.01 94.97,7.39 141.02,7.39

117.995,-1.81

Subjects
Engineering | Environmental Sciences | Ecological Applications | Geomatic Engineering | Geospatial Information Systems and Geospatial Data Modelling | Indonesia | LULC | Landscape Ecology | Landscape metrics | ZOOMAL |

User Contributed Tags    

Login to tag this record with meaningful keywords to make it easier to discover

Identifiers