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DATASET

Global crop and rangeland masks

Collection: ASAP : Anomaly hot Spots of Agricultural Production 

Description

The dataset contains global crop and rangeland masks at 0.0089286 deg resolution (about 1 squared kilometer).

Each pixel represents the area fraction of the specific cover (i.e. percentage of the pixel with crops/rangelands)

Contact

Email
jrc-asap (at) ec.europa.eu

Contributors

How to cite

Pérez-Hoyos, Ana (2018): Global crop and rangeland masks. European Commission, Joint Research Centre (JRC) [Dataset] PID: http://data.europa.eu/89h/jrc-10112-10005

Keywords

Agricultural monitoring ASAP crop mask rangeland

Data access

Rangeland mask
Use conditions
European Commission reuse notice 
Access conditions
No limitations 
Download 

  • Tiff file where data are scaled between 1 and 200: image values V=0-200, scaling 0.5 -> physical value 0-100%.

Crop mask
Use conditions
European Commission reuse notice 
Access conditions
No limitations 
Download 

  • Tiff file where data are scaled between 1 and 200: image values V=0-200, scaling 0.5 -> physical value 0-100%.

Publications

Publication 2017
Comparison of Global Land Cover Datasets for Cropland Monitoring
Perez Hoyos, A., Rembold, F., Kerdiles, H. and Gallego Pinilla, F., Comparison of Global Land Cover Datasets for Cropland Monitoring, REMOTE SENSING, ISSN 2072-4292, 9 (11), 2017, p. 1118, JRC107552.
  • MDPI AG, BASEL, SWITZERLAND
DOI
10.3390/rs9111118
Publication page 
  • Abstract

    Accurate and reliable information on the spatial distribution of major crops is needed for detecting possible production deficits with the aim of preventing food security crises and anticipating response planning. In this paper, we compared some of the most widely used global land cover datasets to examine their comparative advantages for cropland monitoring. Cropland class areas are compared for the following datasets: FAO-GLCshare (FAO Global Land Cover Network), Geowiki IIASA-Hybrid (Hybrid global land cover map from the International Institute of Applied System Analysis), GLC2000 (Global Land Cover 2000), GLCNMO2008 (Global Land Cover by National Mapping Organizations), GlobCover, Globeland30, LC-CCI (Land Cover Climate Change Initiative) 2010 and 2015, and MODISLC (MODIS Land Cover product). The methodology involves: (1) highlighting discrepancies in the extent and spatial distribution of cropland, (2) comparing the areas with FAO agricultural statistics at the country level, and (3) providing accuracy assessment through freely available reference datasets. Recommendations for crop monitoring at the country level are based on a priority ranking derived from the results obtained from analyses 2 and 3. Our results revealed that cropland information varies substantially among the analyzed land cover datasets. FAO-GLCshare and Globeland30 generally provided adequate results to monitor cropland areas, whereas LC-CCI2010 and GLC2000 are less unsuitable due to large overestimations in the former and out of date information and low accuracy in the latter. The recently launched LC-CCI datasets (i.e., LC-CCI2015) show a higher potential for cropland monitoring uses than the previous version (i.e., LC-CCI2010)

Publication
ASAP: A new global early warning system to detect anomaly hot spots of agricultural production for food security analysis
DOI
10.1016/j.agsy.2018.07.002

Geographic areas

World

Additional information

Published by
European Commission, Joint Research Centre
Created date
2018-12-14
Modified date
2018-12-20
Issued date
2018-09-26
Landing page
https://mars.jrc.ec.europa.eu/asap/download.php 
Language(s)
English
Data theme(s)
Agriculture, fisheries, forestry and food, Science and technology
Update frequency
irregular
Identifier
http://data.europa.eu/89h/jrc-10112-10005
Popularity