A Unified Cropland Layer at 250 m for Global Agriculture Monitoring
Abstract
:1. Summary
2. Data Description
2.1. Data and Metadata
2.2. Accuracy Assessment
2.3. Perspectives of Evolution
3. Material
3.1. Land Cover and Cropland Maps
3.2. Global Validation Data Sets and Ancillary Data
4. Methodology
- Constructing a spatial information data base;
- Translating the criteria into scores;
- Defining the weight of each criterion;
- Aggregating the criteria in the output index and selecting the product that maximizes this index
4.1. Thematic Consistency Criterion
- Absence of woody crops (WC);
- Presence of fallows and bare fields (FB);
- Absence of managed pasture and meadows (MPM).
4.2. Timeliness Criterion
4.3. Resolution Adequacy Criterion
4.4. Confidence Level Criterion
5. User Notes
Acknowledgments
Author Contributions
Conflicts of Interest
References
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Characteristic | Description |
---|---|
Data format | GeoTiff |
Epoch | 2014 |
Coordinate system | latitude/longitude WGS84 (EPSG:4326) |
Image dimensions | 172,800 × 83,294 (rows × columns) |
Size | 355 MB |
Data type | Byte using LZW compression |
No Data value | 255 |
Number of layers | 1 |
Value | Cropland proportion in percent |
Data range | 0–100 |
(a) Confusion matrix obtained with the GlobCover2005 data set | |||
Non-Cropland | Cropland | Users’ Accuracy [%] | |
Non-Cropland | 158 | 9 | 94.6 |
Cropland | 2 | 16 | 88.9 |
Producers’ Accuracy [%] | 98.8 | 64.0 | Overall Accuracy [%]: 94.1 |
(b) Confusion matrix obtained with the VIIRS data set | |||
Non-Cropland | Cropland | Users’ Acc. (%) | |
Non-Cropland | 631 | 63 | 90.9 |
Cropland | 251 | 985 | 79.7 |
Producers’ Accuracy [%] | 71.5 | 94.0 | Overall Accuracy [%]: 83.7 |
(c) Confusion matrix obtained with the geoWiki data set | |||
Non-Cropland | Cropland | Users’ Acc. (%) | |
Non-Cropland | 8490 | 1698 | 83.3 |
Cropland | 384 | 2055 | 84.3 |
Producers’ Accuracy [%] | 95.7 | 54.8 | Overall Accuracy [%]: 83.5 |
Extent | Product Name-Reference | Epoch |
---|---|---|
Global | FROM-GLC [18] | 2013 |
Global Cropland extent [7] | 2000–2008 | |
GlobCover 2009 [13] | 2009 | |
ESA LandCover CCI [15] | 2008–2012 | |
MOD12Q1 NASA | 2005 | |
FAO GLC-Share [28] | 1990–2012 | |
IIASA-IFPRI Cropland [27] | 1990–2012 | |
GLC2000 [11] | 1999–2000 | |
IGBP [29] | 1992–1993 | |
GLCNMO [30] | 2007–2009 | |
Regional | Corine Land Cover EEA | 2006, 2012 |
SADC land cover database-CSIR | 2002 | |
JRC Cropland Mask [3] | 2012 | |
North American Environmental Atlas CEC | 2005 | |
SERENA LAC [31] | 2008 | |
Congo Basin Map [32] | 2000–2007 | |
SEA CRISP [33] | 2010 | |
Land Cover of Central Asia [34] | 2009 | |
Northern Eurasia Land Cover (NELC) [35] | 2005 | |
Uzbekistan, Tajikistan, Kyrgyzstan, Turkmenistan | Wurzburg University | 2003 |
Congo, Burundi, Egypt, Eritrea, Kenya, Rwanda, Somalia, Sudan, Tanzania, Uganda | Africover FAO | 1999–2001 |
Senegal, Bhutan, Nepal | Global Land Cover Network | 2005–2007 |
France, Belgium, The Netherlands | Land Parcel Identification System | 2012–2014 |
Barbados, Rep Dom, Dominica, Grenada, Puerto Rico, Saint Kit and Nevis US and B Virgin Islands | USGS | 2000–2001 |
Fiji, Solomon Islands, Timor Leste, Niue, Naurau, Palau, Tonga, Tuvalu, Vanuatu, Kiribati, Marshall Islands, Micronesia, Cook Islands | SOPAC | 1999-2010 |
Botswana, Namibia, Rwanda, Zambia, Tanzania, Malawi | Land Cover Scheme II SERVIR | 2010 |
China | GlobeLand30 NGCC [36] | 2009–2011 |
Japan | JAXA HR LU-LCMap [37] | 2006–2011 |
Tajikistan | ACCA [6] | 2010 |
Burkina Faso | Corine Database of Burkina Faso | 2000 |
Canada | Annual Crop Inventory-AAFC | 2013 |
USA | Cropland Data Layer USDA | 2013 |
China | National Land Cover Map of China [38] | 1995–1996 |
Australia | Digital Land Cover Database GA-Australia [39] | 2011 |
Cambodia | JICA Land Cover of Cambodia | 2002 |
New Zealand | Land Cover DataBase v4 Ministry for the Environment | 2004 |
South Africa | National Land Cover CSIR | 2000–2001 |
South Africa | National Land Cover SANBI | 2009 |
Canada | National Resources of Canada | 2005 |
Uruguay | Land Cover Uruguay UNA-ONU | 2010 |
Mexico | Land Cover of Mexico CONABIO | 1999 |
Argentina | Cobertura y uso del suelo-INTA | 2006 |
Ecuador | Uso del Suelo departamento de Inf. Ambiental | 2001 |
Thailand | Royal Forest Department of Thailand | 2000 |
Chile | Chile Corporacion Nacional Forestal | 1999 |
India | Land Use Land Cover of India NRSC [40] | 2011–2012 |
Gambia | [41] | 2013 |
Ukraine | Land Cover Ukraine [42] | 2010 |
Russia | TerraNorte Arable Lands of Russia [43] | 2014 |
Validation Set | Geometry | Sample Size | Cropland [%] | Use |
---|---|---|---|---|
Zhao et al. | Point | 38 664 | 7 | Multi-criteria analysis |
GlobCover 2005 | Polygon (225 ha) | 186 | 9 | Validation |
VIIRS | Polygon (5 × 5 km) | 3664 | 27 | Validation |
geoWiki | Polygon (1× 1 km) | 12 833 | 29 | Validation |
(a) Rules for the thematic criterion | ||
Thematic Criterion | Code | Score |
3 | Good Thematic Agreement | 4 |
2 | Moderate Thematic agreement | 3 |
1 | Low Thematic agreement | 2 |
0 | No thematic agreement | 1 |
(b) Rules for the timeliness criterion | ||
Timeliness Criterion | Code | Score |
1–2 | Up to date | 4 |
2–5 | Recent | 3 |
5–10 | Old | 2 |
10> | Out of date | 1 |
(c) Rules for the resolution adequacy criterion | ||
Resolution Adequacy Criterion | Code | Score |
>0 | Perfectly adequate | 4 |
1 | Adequate | 3 |
2 | Inadequate | 2 |
3 | Totally Inadequate | 1 |
(d) Confidence Level Scoring | ||
Confidence Level Criterion | Code | Score |
80%–100% | High Confidence Level | 4 |
70%–80% | Good Confidence Level | 3 |
60%–70% | Low Confidence | 2 |
0%–60% | Very Low Confidence Level | 1 |
GeoWiki Field Size | GEOGLAM Field Size (ha) | GEOGLAM Resolution Requirements (m) |
---|---|---|
Large | >15 | 100–500 |
Medium | >1.5 | 20–100 |
Small | >0.15 | 5–20 |
Very Small | <0.15 | <5 |
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Share and Cite
Waldner, F.; Fritz, S.; Di Gregorio, A.; Plotnikov, D.; Bartalev, S.; Kussul, N.; Gong, P.; Thenkabail, P.; Hazeu, G.; Klein, I.; et al. A Unified Cropland Layer at 250 m for Global Agriculture Monitoring. Data 2016, 1, 3. https://doi.org/10.3390/data1010003
Waldner F, Fritz S, Di Gregorio A, Plotnikov D, Bartalev S, Kussul N, Gong P, Thenkabail P, Hazeu G, Klein I, et al. A Unified Cropland Layer at 250 m for Global Agriculture Monitoring. Data. 2016; 1(1):3. https://doi.org/10.3390/data1010003
Chicago/Turabian StyleWaldner, François, Steffen Fritz, Antonio Di Gregorio, Dmitry Plotnikov, Sergey Bartalev, Nataliia Kussul, Peng Gong, Prasad Thenkabail, Gerard Hazeu, Igor Klein, and et al. 2016. "A Unified Cropland Layer at 250 m for Global Agriculture Monitoring" Data 1, no. 1: 3. https://doi.org/10.3390/data1010003