Map of agreement on global cropland (Global - 1km)

Accurate and precise measurements of global cropland extent are needed for monitoring the sustainability of agriculture at all scales. Recent advancement in remote sensing and land cover mapping methods have greatly increased the ability to estimate cropland area distribution and trends. This map of agreement/disagreement was produced by consolidating information at pixel level from six high-resolutions maps (10-30m). The input datasets represent the most advanced land cover and thematic layers available today for cropland area extent circa 2020. Main concepts and input datasets are described in the pre-print "Measuring the world's cropland area" (https://www.researchgate.net/publication/361812372_Measuring_the_world's_cropland_area) submitted for publication under Matters Arising of the Nature Food journal (https://www.nature.com/natfood/research-articles).

Pixel values in the map range from 0 to 6, where 0 represents pixels where all the six datasets agree that there is no cropland; 1 are pixels where only one of the dataset depicts cropland; 2 are pixels where two datasets depict cropland, etc.. Pixel values 4, 5, and 6 represent conditions of good and complete agreement among the input datasets. This map has a spatial resolution of 1km. Users are invited to refer to the metadata contact for access to higher resolution versions of the layer.

Contact points:

Resource Contact: Zhongxin Chen

Resource Contact: Francesco Nicola Tubiello

Resource Contact: Pengyu Hao

Resource Contact: Giulia Conchedda

Resource Contact: Leon Casse

Metadata Contact: FAOSTAT

Resource constraints:

license

Online resources:

Data for download - Map of agreement on global cropland (1 km)

Graphic overview - Map of agreement on global cropland

Data and Resources

Graphic overview - Map of agreement on global cropland

Metadata:

characterSet
utf8
dataIdentification
abstract
Accurate and precise measurements of global cropland extent are needed for monitoring the sustainability of agriculture at all scales. Recent advancement in remote sensing and land cover mapping methods have greatly increased the ability to estimate cropland area distribution and trends. This map of agreement/disagreement was produced by consolidating information at pixel level from six high-resolutions maps (10-30m). The input datasets represent the most advanced land cover and thematic layers available today for cropland area extent circa 2020. Main concepts and input datasets are described in the pre-print "Measuring the world's cropland area" (https://www.researchgate.net/publication/361812372_Measuring_the_world's_cropland_area) submitted for publication under Matters Arising of the Nature Food journal (https://www.nature.com/natfood/research-articles). Pixel values in the map range from 0 to 6, where 0 represents pixels where all the six datasets agree that there is no cropland; 1 are pixels where only one of the dataset depicts cropland; 2 are pixels where two datasets depict cropland, etc.. Pixel values 4, 5, and 6 represent conditions of good and complete agreement among the input datasets. This map has a spatial resolution of 1km. Users are invited to refer to the metadata contact for access to higher resolution versions of the layer.
citation
title
Map of agreement on global cropland (Global - 1km)
descriptiveKeywords
  • keywords
    • Agreement
    • Cropland
    • Arable land
    • High resolution data
    type
    theme
extent
  • geographic
    bbox
    east
    180
    north
    90
    south
    -90
    west
    -180
resourceConstraints
legalConstraints
useConstraints
  • license
resourceMaintenance
maintenanceAndUpdateFrequency
asNeeded
spatialRepresentationType
  • grid
spatialResolution
  • distance
    1000
    unit
    m
topicCategory
  • geoscientificInformation
  • farming
fileIdentifier
c790f7c9-23ac-4578-b4bf-a8c0137f0fea
metadataStandardName
ISO 19115:2003/19139
metadataStandardVersion
1.0

Options:

validation
True

Type:

iso

Additional Info

Field Value
Source https://data.apps.fao.org/catalog/dataset/c790f7c9-23ac-4578-b4bf-a8c0137f0fea
Last Updated October 13, 2022, 07:50 (UTC)
Created July 19, 2022, 13:28 (UTC)