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[dataset] Global Synergy Cropland Map v3.0

"Information on global cropland distribution and agricultural production is critical for the world's agricultural monitoring and food security. We present datasets of cropland extent and agricultural production in a two-paper series of a cultivated planet in 2010. In the first part, we propose a new Self-adapting Statistics Allocation Model (SASAM) to develop the global map of cropland distribution. SASAM is based on the fusion of multiple existing cropland maps and multilevel statistics of the cropland area, which is independent of training samples. First, cropland area statistics are used to rank the input cropland maps, and then a scoring table is built to indicate the agreement among the input datasets. Secondly, statistics are allocated adaptively to the pixels with higher agreement scores until the cumulative cropland area is close to the statistics. The multilevel allocation results are then integrated to obtain the extent of cropland. We applied SASAM to produce a global cropland synergy map with a 500 m spatial resolution for circa 2010. The accuracy assessments show that the synergy map has higher accuracy than the input datasets and better consistency with the cropland statistics. The synergy cropland map is available via an open-data repository (https://doi.org/10.7910/DVN/ZWSFAA; Lu et al., 2020). This new cropland map has been used as an essential input to the Spatial Production Allocation Model (SPAM) for producing the global dataset of agricultural production for circa 2010, which is described in the second part of the two-paper series."
Global synergy cropland map: https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/ZWSFAA

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Data and Resources

Additional Info

Field Value
Identifier cropland-extent
Documentation https://essd.copernicus.org/articles/12/1913/2020/
Contact Point Miao, Lu (China Academy of Agricultural Science)
Contact Point - ORCID iD or e-mail adress https://orcid.org/ 0000-0002-6468-4195
Dataset DOI https://doi.org/10.7910/DVN/ZWSFAA
Information Website https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/ZWSFAA; https://essd.copernicus.org/articles/12/1913/2020/
Theme / Vocabulary / Ontology http://inspire.ec.europa.eu/theme/af, http://inspire.ec.europa.eu/theme/lc, http://inspire.ec.europa.eu/theme/lu, http://inspire.ec.europa.eu/theme/su
Coordinate Reference System http://www.opengis.net/def/crs/EPSG/0/4326
Spatial Resolution 0.0041667
Spatial Resolution Measured As angular distance
Temporal Coverage 2010-01-01 to 2010-12-31
Temporal Resolution
Data Quality Metric

Quantitative Attribute Accuracy as Root Mean Square Error (RMSE)

https://geokur-dmp.geo.tu-dresden.de/quality-register#QuantitativeAttributeAccuracyasRootMeanSquareErrorRMSE

  • value of quality metric:34100
  • ground truth dataset:FAO statistic
  • confidence term:
  • confidence value:
  • thematic representativity:
  • spatial representativity:Global
  • temporal representativity:
  • name of quality source:A cultivated planet in 2010 – Part 1: The global synergy cropland map
  • type of quality source:publication
  • link to quality source:https://essd.copernicus.org/articles/12/1913/2020/

Quantitative Attribute Accuracy as Coefficient of Determination (R²)

https://geokur-dmp.geo.tu-dresden.de/quality-register#QuantitativeAttributeAccuracyasCoefficientofDetermination

  • value of quality metric:0.9801
  • ground truth dataset:FAO statistic
  • confidence term:
  • confidence value:
  • thematic representativity:
  • spatial representativity:Global
  • temporal representativity:
  • name of quality source:A cultivated planet in 2010 – Part 1: The global synergy cropland map
  • type of quality source:publication
  • link to quality source:https://essd.copernicus.org/articles/12/1913/2020/

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Last Updated October 26, 2021, 08:17 (UTC)
Created May 16, 2021, 11:13 (UTC)

Dataset extent