Waldner, François
[UCL]
Fritz, Steffen
[IIASA]
Di Gregorio, Antonio
[FAO]
Defourny, Pierre
[UCL]
Timely and accurate information on the global cropland extent is critical for applications in the fields of food security, agricultural monitoring, water management, land-use change modeling and Earth system modeling. On the one hand, it gives detailed location information on where to analyze satellite image time series to assess crop condition. On the other hand, it isolates the agriculture component to focus food security monitoring on agriculture and to assess the potential impacts of climate change on agricultural lands. The cropland class is often poorly captured in global land cover products due to its dynamic nature and the large variety of agro-systems. The overall objective was to evaluate the current availability of cropland datasets in order to propose a strategic planning and effort distribution for future cropland mapping activities and, therefore, to maximize their impact. Following a very comprehensive identification and collection of national to global land cover maps, a multi-criteria analysis was designed at the country level to identify the priority areas for cropland mapping. As a result, the analysis highlighted priority regions, such as Western Africa, Ethiopia, Madagascar and Southeast Asia, for the remote sensing community to focus its efforts. A Unified Cropland Layer at 250 m for the year 2014 was produced combining the fittest products. It was assessed using global validation datasets and yields an overall accuracy ranging from 82%–94%. Masking cropland areas with a global forest map reduced the commission errors from 46% down to 26%. Compared to the GLC-Share and the International Institute for Applied Systems Analysis-International Food Policy Research Institute (IIASA-IFPRI) cropland maps, significant spatial disagreements were found, which might be attributed to discrepancies in the cropland definition. This advocates for a shared definition of cropland, as well as global validation datasets relevant for the agriculture class in order to systematically assess existing and future cropland maps.
- Fritz Steffen, McCallum Ian, Schill Christian, Perger Christoph, See Linda, Schepaschenko Dmitry, van der Velde Marijn, Kraxner Florian, Obersteiner Michael, Geo-Wiki: An online platform for improving global land cover, 10.1016/j.envsoft.2011.11.015
- Report from the Workshop on Developing a Strategy for Global Agricultural Monitoring in the Framework of Group on Earth Observations (GEO)http://www.fao.org/gtos/igol/docs/meeting-reports/07-geo-ag0703-workshop-report-nov07.pdf
- Hannerz F., Lotsch A., Assessment of remotely sensed and statistical inventories of African agricultural fields, 10.1080/01431160801891762
- Vancutsem Christelle, Marinho Eduardo, Kayitakire François, See Linda, Fritz Steffen, Harmonizing and Combining Existing Land Cover/Land Use Datasets for Cropland Area Monitoring at the African Continental Scale, 10.3390/rs5010019
- Lobell D. B., Bala G., Duffy P. B., Biogeophysical impacts of cropland management changes on climate, 10.1029/2005gl025492
- Yu Le, Wang Jie, Clinton Nicholas, Xin Qinchuan, Zhong Liheng, Chen Yanlei, Gong Peng, FROM-GC: 30 m global cropland extent derived through multisource data integration, 10.1080/17538947.2013.822574
- Bartholomé E., Belward A. S., GLC2000: a new approach to global land cover mapping from Earth observation data, 10.1080/01431160412331291297
- Arino, ESA Bull., 136, 25 (2008)
- Friedl M.A, McIver D.K, Hodges J.C.F, Zhang X.Y, Muchoney D, Strahler A.H, Woodcock C.E, Gopal S, Schneider A, Cooper A, Baccini A, Gao F, Schaaf C, Global land cover mapping from MODIS: algorithms and early results, 10.1016/s0034-4257(02)00078-0
- Land Cover CCI: Product User Guide Version 2http://maps.elie.ucl.ac.be/CCI/viewer/download/ESACCI-LC-PUG-v2.4.pdf
- Gong Peng, Wang Jie, Yu Le, Zhao Yongchao, Zhao Yuanyuan, Liang Lu, Niu Zhenguo, Huang Xiaomeng, Fu Haohuan, Liu Shuang, Li Congcong, Li Xueyan, Fu Wei, Liu Caixia, Xu Yue, Wang Xiaoyi, Cheng Qu, Hu Luanyun, Yao Wenbo, Zhang Han, Zhu Peng, Zhao Ziying, Zhang Haiying, Zheng Yaomin, Ji Luyan, Zhang Yawen, Chen Han, Yan An, Guo Jianhong, Yu Liang, Wang Lei, Liu Xiaojun, Shi Tingting, Zhu Menghua, Chen Yanlei, Yang Guangwen, Tang Ping, Xu Bing, Giri Chandra, Clinton Nicholas, Zhu Zhiliang, Chen Jin, Chen Jun, Finer resolution observation and monitoring of global land cover: first mapping results with Landsat TM and ETM+ data, 10.1080/01431161.2012.748992
- Fritz Steffen, See Linda, McCallum Ian, Schill Christian, Obersteiner Michael, van der Velde Marijn, Boettcher Hannes, Havlík Petr, Achard Frédéric, Highlighting continued uncertainty in global land cover maps for the user community, 10.1088/1748-9326/6/4/044005
- Ramankutty Navin, Evan Amato T., Monfreda Chad, Foley Jonathan A., Farming the planet: 1. Geographic distribution of global agricultural lands in the year 2000 : GLOBAL AGRICULTURAL LANDS IN 2000, 10.1029/2007gb002952
- Pittman Kyle, Hansen Matthew C., Becker-Reshef Inbal, Potapov Peter V., Justice Christopher O., Estimating Global Cropland Extent with Multi-year MODIS Data, 10.3390/rs2071844
- Biradar Chandrashekhar M., Thenkabail Prasad S., Noojipady Praveen, Li Yuanjie, Dheeravath Venkateswarlu, Turral Hugh, Velpuri Manohar, Gumma Murali K., Gangalakunta Obi Reddy P., Cai Xueliang L., Xiao Xiangming, Schull Mitchell A., Alankara Ranjith D., Gunasinghe Sarath, Mohideen Sadir, A global map of rainfed cropland areas (GMRCA) at the end of last millennium using remote sensing, 10.1016/j.jag.2008.11.002
- Thenkabail Prasad S., Biradar Chandrashekhar M., Noojipady Praveen, Dheeravath Venkateswarlu, Li Yuanjie, Velpuri Manohar, Gumma Muralikrishna, Gangalakunta Obi Reddy P., Turral Hugh, Cai Xueliang, Vithanage Jagath, Schull Mitchell A., Dutta Rishiraj, Global irrigated area map (GIAM), derived from remote sensing, for the end of the last millennium, 10.1080/01431160802698919
- Boryan Claire, Yang Zhengwei, Mueller Rick, Craig Mike, Monitoring US agriculture: the US Department of Agriculture, National Agricultural Statistics Service, Cropland Data Layer Program, 10.1080/10106049.2011.562309
- Herold M., Woodcock C.E., Antonio di Gregorio, Mayaux P., Belward A.S., Latham J., Schmullius C.C., A joint initiative for harmonization and validation of land cover datasets, 10.1109/tgrs.2006.871219
- Giri Chandra, Zhu Zhiliang, Reed Bradley, A comparative analysis of the Global Land Cover 2000 and MODIS land cover data sets, 10.1016/j.rse.2004.09.005
- Foody Giles M., Status of land cover classification accuracy assessment, 10.1016/s0034-4257(01)00295-4
- Fritz Steffen, See Linda, McCallum Ian, You Liangzhi, Bun Andriy, Moltchanova Elena, Duerauer Martina, Albrecht Fransizka, Schill Christian, Perger Christoph, Havlik Petr, Mosnier Aline, Thornton Philip, Wood-Sichra Ulrike, Herrero Mario, Becker-Reshef Inbal, Justice Chris, Hansen Matthew, Gong Peng, Abdel Aziz Sheta, Cipriani Anna, Cumani Renato, Cecchi Giuliano, Conchedda Giulia, Ferreira Stefanus, Gomez Adriana, Haffani Myriam, Kayitakire Francois, Malanding Jaiteh, Mueller Rick, Newby Terence, Nonguierma Andre, Olusegun Adeaga, Ortner Simone, Rajak D. Ram, Rocha Jansle, Schepaschenko Dmitry, Schepaschenko Maria, Terekhov Alexey, Tiangwa Alex, Vancutsem Christelle, Vintrou Elodie, Wenbin Wu, van der Velde Marijn, Dunwoody Antonia, Kraxner Florian, Obersteiner Michael, Mapping global cropland and field size, 10.1111/gcb.12838
- Global Land Cover SHARE (GLC-SHARE) Database Beta-Release Version 1.0-2014http://www.fao.org/uploads/media/glc-share-doc.pdf
- Xu Guang, Zhang Hairong, Chen Baozhang, Zhang Huifang, Yan Jianwu, Chen Jing, Che Mingliang, Lin Xiaofeng, Dou Xianming, A Bayesian Based Method to Generate a Synergetic Land-Cover Map from Existing Land-Cover Products, 10.3390/rs6065589
- Herold M., Mayaux P., Woodcock C.E., Baccini A., Schmullius C., Some challenges in global land cover mapping: An assessment of agreement and accuracy in existing 1 km datasets, 10.1016/j.rse.2007.11.013
- EIDENSHINK J. C., FAUNDEEN J. L., The 1 km AVHRR global land data set: first stages in implementation, 10.1080/01431169408954339
- Tateishi, J. Geogr. Geol., 6, 99 (2014)
- Blanco Paula D., Colditz Rene R., López Saldaña Gerardo, Hardtke Leonardo A., Llamas Ricardo M., Mari Nicolás A., Fischer Angeles, Caride Constanza, Aceñolaza Pablo G., del Valle Héctor F., Lillo-Saavedra Mario, Coronato Fernando, Opazo Sergio A., Morelli Fabiano, Anaya Jesús A., Sione Walter F., Zamboni Pamela, Arroyo Victor Barrena, A land cover map of Latin America and the Caribbean in the framework of the SERENA project, 10.1016/j.rse.2012.12.025
- Verhegghen A., Mayaux P., de Wasseige C., Defourny P., Mapping Congo Basin vegetation types from 300 m and 1 km multi-sensor time series for carbon stocks and forest areas estimation, 10.5194/bg-9-5061-2012
- Miettinen Jukka, Shi Chenghua, Tan Wee Juan, Liew Soo Chin, 2010 land cover map of insular Southeast Asia in 250-m spatial resolution, 10.1080/01431161.2010.526971
- Klein Igor, Gessner Ursula, Kuenzer Claudia, Regional land cover mapping and change detection in Central Asia using MODIS time-series, 10.1016/j.apgeog.2012.06.016
- Chen Jun, Chen Jin, Liao Anping, Cao Xin, Chen Lijun, Chen Xuehong, He Chaoying, Han Gang, Peng Shu, Lu Miao, Zhang Weiwei, Tong Xiaohua, Mills Jon, Global land cover mapping at 30m resolution: A POK-based operational approach, 10.1016/j.isprsjprs.2014.09.002
- Thenkabail Prasad S., Wu Zhuoting, An Automated Cropland Classification Algorithm (ACCA) for Tajikistan by Combining Landsat, MODIS, and Secondary Data, 10.3390/rs4102890
- LIU J, LIU M, TIAN H, ZHUANG D, ZHANG Z, ZHANG W, TANG X, DENG X, Spatial and temporal patterns of China's cropland during 1990–2000: An analysis based on Landsat TM data, 10.1016/j.rse.2005.08.012
- Lymburner (2011)
- Sreenivas K., Sekhar N. Seshadri, Saxena Manoj, Paliwal R., Pathak S., Porwal M.C., Fyzee M.A., Rao S.V.C. Kameswara, Wadodkar M., Anasuya T., Murthy M.S.R., Ravisankar T., Dadhwal V.K., Estimating inter-annual diversity of seasonal agricultural area using multi-temporal resourcesat data, 10.1016/j.jenvman.2014.10.031
- Holecz (2013)
- Bartalev, Comput. Opt., 35, 103 (2011)
- Defourny, 207 (2012)
- Olofsson Pontus, Stehman Stephen V., Woodcock Curtis E., Sulla-Menashe Damien, Sibley Adam M., Newell Jared D., Friedl Mark A., Herold Martin, A global land-cover validation data set, part I: fundamental design principles, 10.1080/01431161.2012.674230
- Stehman Stephen V., Olofsson Pontus, Woodcock Curtis E., Herold Martin, Friedl Mark A., A global land-cover validation data set, II: augmenting a stratified sampling design to estimate accuracy by region and land-cover class, 10.1080/01431161.2012.695092
- http://www.gofcgold.wur.nl/sites/gofcgold_refdataportal-step.php
- Zhao Yuanyuan, Gong Peng, Yu Le, Hu Luanyun, Li Xueyan, Li Congcong, Zhang Haiying, Zheng Yaomin, Wang Jie, Zhao Yongchao, Cheng Qu, Liu Caixia, Liu Shuang, Wang Xiaoyi, Towards a common validation sample set for global land-cover mapping, 10.1080/01431161.2014.930202
- Fritz Steffen, McCallum Ian, Schill Christian, Perger Christoph, Grillmayer Roland, Achard Frédéric, Kraxner Florian, Obersteiner Michael, Geo-Wiki.Org: The Use of Crowdsourcing to Improve Global Land Cover, 10.3390/rs1030345
- Setegn, Hydrol. Process., 23, 3738 (2009)
- Mourão Keila Renata M., Martins Sousa Filho Pedro Walfir, José de Oliveira Alves Paulo, Frédou Flávia Lucena, Priority areas for the conservation of the fish fauna of the Amazon Estuary in Brazil: A multicriteria approach, 10.1016/j.ocecoaman.2014.08.007
- Iojă Cristian Ioan, Niţă Mihai Răzvan, Vânău Gabriel Ovidiu, Onose Diana Andreea, Gavrilidis Athanasios Alexandru, Using multi-criteria analysis for the identification of spatial land-use conflicts in the Bucharest Metropolitan Area, 10.1016/j.ecolind.2013.09.029
- McCallum Ian, Obersteiner Michael, Nilsson Sten, Shvidenko Anatoly, A spatial comparison of four satellite derived 1km global land cover datasets, 10.1016/j.jag.2005.12.002
- Di Gregorio (2000)
- del Mar López Tania, Aide T. Mitchell, Thomlinson John R., Urban Expansion and the Loss of Prime Agricultural Lands in Puerto Rico, 10.1579/0044-7447-30.1.49
- Morton D. C., DeFries R. S., Shimabukuro Y. E., Anderson L. O., Arai E., del Bon Espirito-Santo F., Freitas R., Morisette J., Cropland expansion changes deforestation dynamics in the southern Brazilian Amazon, 10.1073/pnas.0606377103
- Benayas, CAB Rev. Perspect. Agric. Vet. Sci. Nutr. Nat. Resour., 2, 1 (2007)
- Baumann Matthias, Kuemmerle Tobias, Elbakidze Marine, Ozdogan Mutlu, Radeloff Volker C., Keuler Nicholas S., Prishchepov Alexander V., Kruhlov Ivan, Hostert Patrick, Patterns and drivers of post-socialist farmland abandonment in Western Ukraine, 10.1016/j.landusepol.2010.11.003
- Löw Fabian, Duveiller Grégory, Defining the Spatial Resolution Requirements for Crop Identification Using Optical Remote Sensing, 10.3390/rs6099034
- Leroux Louise, Jolivot Audrey, Bégué Agnès, Seen Danny, Zoungrana Bernardin, How Reliable is the MODIS Land Cover Product for Crop Mapping Sub-Saharan Agricultural Landscapes?, 10.3390/rs6098541
- Vintrou Elodie, Desbrosse Annie, Bégué Agnès, Traoré Sibiry, Baron Christian, Lo Seen Danny, Crop area mapping in West Africa using landscape stratification of MODIS time series and comparison with existing global land products, 10.1016/j.jag.2011.06.010
- Saaty Thomas L., How to make a decision: The analytic hierarchy process, 10.1016/0377-2217(90)90057-i
- Mendoza Guillermo A., Prabhu Ravi, Development of a Methodology for Selecting Criteria and Indicators of Sustainable Forest Management: A Case Study on Participatory Assessment, 10.1007/s002670010123
- Hansen M. C., Potapov P. V., Moore R., Hancher M., Turubanova S. A., Tyukavina A., Thau D., Stehman S. V., Goetz S. J., Loveland T. R., Kommareddy A., Egorov A., Chini L., Justice C. O., Townshend J. R. G., High-Resolution Global Maps of 21st-Century Forest Cover Change, 10.1126/science.1244693
- Shimada Masanobu, Itoh Takuya, Motooka Takeshi, Watanabe Manabu, Shiraishi Tomohiro, Thapa Rajesh, Lucas Richard, New global forest/non-forest maps from ALOS PALSAR data (2007–2010), 10.1016/j.rse.2014.04.014
- Tsendbazar N.E., de Bruin S., Herold M., Assessing global land cover reference datasets for different user communities, 10.1016/j.isprsjprs.2014.02.008
- Klein Goldewijk K., Van Drecht G., Bouwman A. F., Mapping contemporary global cropland and grassland distributions on a 5 × 5 minute resolution, 10.1080/17474230701622940
- See Linda, Fritz Steffen, You Liangzhi, Ramankutty Navin, Herrero Mario, Justice Chris, Becker-Reshef Inbal, Thornton Philip, Erb Karlheinz, Gong Peng, Tang Huajun, van der Velde Marijn, Ericksen Polly, McCallum Ian, Kraxner Florian, Obersteiner Michael, Improved global cropland data as an essential ingredient for food security, 10.1016/j.gfs.2014.10.004
- Whitcraft Alyssa K., Vermote Eric F., Becker-Reshef Inbal, Justice Christopher O., Cloud cover throughout the agricultural growing season: Impacts on passive optical earth observations, 10.1016/j.rse.2014.10.009
- BLAES X, VANHALLE L, DEFOURNY P, Efficiency of crop identification based on optical and SAR image time series, 10.1016/j.rse.2005.03.010
- McNairn Heather, Champagne Catherine, Shang Jiali, Holmstrom Delmar, Reichert Gordon, Integration of optical and Synthetic Aperture Radar (SAR) imagery for delivering operational annual crop inventories, 10.1016/j.isprsjprs.2008.07.006
- McNairn H., Kross A., Lapen D., Caves R., Shang J., Early season monitoring of corn and soybeans with TerraSAR-X and RADARSAT-2, 10.1016/j.jag.2013.12.015
- Jia Kun, Li Qiangzi, Tian Yichen, Wu Bingfang, Zhang Feifei, Meng Jihua, Crop classification using multi-configuration SAR data in the North China Plain, 10.1080/01431161.2011.587844
- Forkuor Gerald, Conrad Christopher, Thiel Michael, Ullmann Tobias, Zoungrana Evence, Integration of Optical and Synthetic Aperture Radar Imagery for Improving Crop Mapping in Northwestern Benin, West Africa, 10.3390/rs6076472
- Kussul, Int. J. Inf. Model. Anal., 7, 203 (2013)
- Feng Gao, Masek J., Schwaller M., Hall F., On the blending of the Landsat and MODIS surface reflectance: predicting daily Landsat surface reflectance, 10.1109/tgrs.2006.872081
- Bisquert Mar, Bordogna Gloria, Bégué Agnès, Candiani Gabriele, Teisseire Maguelonne, Poncelet Pascal, A Simple Fusion Method for Image Time Series Based on the Estimation of Image Temporal Validity, 10.3390/rs70100704
Bibliographic reference |
Waldner, François ; Fritz, Steffen ; Di Gregorio, Antonio ; Defourny, Pierre. Mapping Priorities to Focus Cropland Mapping Activities : Fitness Assessment of Existing Global, Regional and National Cropland Maps. In: Remote Sensing, Vol. 7, no.6, p. 7959-7986 (17 June 2015) |
Permanent URL |
http://hdl.handle.net/2078.1/164930 |