User menu

Production of a Dynamic Cropland Mask by Processing Remote Sensing Image Series at High Temporal and Spatial Resolutions

Bibliographic reference Valero, Silvia ; Morin, David ; Inglada, Jordi ; Sepulcre Canto, Guadalupe ; Arias, Marcela ; et. al. Production of a Dynamic Cropland Mask by Processing Remote Sensing Image Series at High Temporal and Spatial Resolutions. In: Remote Sensing, Vol. 8, no.55, p. 1-21 (11 January 2016)
Permanent URL
  1. Thenkabail Prasad S., Global Croplands and their Importance for Water and Food Security in the Twenty-first Century: Towards an Ever Green Revolution that Combines a Second Green Revolution with a Blue Revolution, 10.3390/rs2092305
  2. Pinter, Jr. Paul J., Hatfield Jerry L., Schepers James S., Barnes Edward M., Moran M. Susan, Daughtry Craig S.T., Upchurch Dan R., Remote Sensing for Crop Management, 10.14358/pers.69.6.647
  3. 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
  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
  5. Duveiller Grégory, Defourny Pierre, A conceptual framework to define the spatial resolution requirements for agricultural monitoring using remote sensing, 10.1016/j.rse.2010.06.001
  6. Whitcraft Alyssa K., Becker-Reshef Inbal, Justice Christopher O., Agricultural growing season calendars derived from MODIS surface reflectance, 10.1080/17538947.2014.894147
  7. Becker-Reshef Inbal, Justice Chris, Sullivan Mark, Vermote Eric, Tucker Compton, Anyamba Assaf, Small Jen, Pak Ed, Masuoka Ed, Schmaltz Jeff, Hansen Matthew, Pittman Kyle, Birkett Charon, Williams Derrick, Reynolds Curt, Doorn Bradley, Monitoring Global Croplands with Coarse Resolution Earth Observations: The Global Agriculture Monitoring (GLAM) Project, 10.3390/rs2061589
  8. Bartholomé E., Belward A. S., GLC2000: a new approach to global land cover mapping from Earth observation data, 10.1080/01431160412331291297
  9. Bontemps (2011)
  10. Global Land Cover SHARE (GLC-SHARE) Database Beta-Release Version 1.0
  11. 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
  12. 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
  13. 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
  14. 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
  15. Portmann Felix T., Siebert Stefan, Döll Petra, MIRCA2000-Global monthly irrigated and rainfed crop areas around the year 2000: A new high-resolution data set for agricultural and hydrological modeling : MONTHLY IRRIGATED AND RAINFED CROP AREAS, 10.1029/2008gb003435
  16. Brink Andreas B., Bodart Catherine, Brodsky Lukas, Defourney Pierre, Ernst Celine, Donney Francois, Lupi Andrea, Tuckova Katerina, Anthropogenic pressure in East Africa—Monitoring 20 years of land cover changes by means of medium resolution satellite data, 10.1016/j.jag.2013.11.006
  17. Atzberger Clement, Advances in Remote Sensing of Agriculture: Context Description, Existing Operational Monitoring Systems and Major Information Needs, 10.3390/rs5020949
  18. Global Information and Early Warning System (GIEWS) on Food and Agriculture
  19. Baruth, Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci., 36, 935 (2008)
  20. Global Monitoring of Food Security (GMFS) Program of the European Union
  21. Wu Bingfang, Gommes René, Zhang Miao, Zeng Hongwei, Yan Nana, Zou Wentao, Zheng Yang, Zhang Ning, Chang Sheng, Xing Qiang, van Heijden Anna, Global Crop Monitoring: A Satellite-Based Hierarchical Approach, 10.3390/rs70403907
  22. Becker-Reshef, NASA Earth Obs., 21, 24 (2009)
  23. WARDLOW B, EGBERT S, KASTENS J, Analysis of time-series MODIS 250 m vegetation index data for crop classification in the U.S. Central Great Plains, 10.1016/j.rse.2006.11.021
  24. Shao Yang, Lunetta Ross S., Ediriwickrema Jayantha, Iiames John, Mapping Cropland and Major Crop Types across the Great Lakes Basin using MODIS-NDVI Data, 10.14358/pers.76.1.73
  25. Wardlow Brian D., Egbert Stephen L., Large-area crop mapping using time-series MODIS 250 m NDVI data: An assessment for the U.S. Central Great Plains, 10.1016/j.rse.2007.07.019
  26. Löw Fabian, Duveiller Grégory, Defining the Spatial Resolution Requirements for Crop Identification Using Optical Remote Sensing, 10.3390/rs6099034
  27. 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
  28. Hannerz (2006)
  29. Bontemps Sophie, Arias Marcela, Cara Cosmin, Dedieu Gérard, Guzzonato Eric, Hagolle Olivier, Inglada Jordi, Matton Nicolas, Morin David, Popescu Ramona, Rabaute Thierry, Savinaud Mickael, Sepulcre Guadalupe, Valero Silvia, Ahmad Ijaz, Bégué Agnès, Wu Bingfang, de Abelleyra Diego, Diarra Alhousseine, Dupuy Stéphane, French Andrew, ul Hassan Akhtar Ibrar, Kussul Nataliia, Lebourgeois Valentine, Le Page Michel, Newby Terrence, Savin Igor, Verón Santiago, Koetz Benjamin, Defourny Pierre, Building a Data Set over 12 Globally Distributed Sites to Support the Development of Agriculture Monitoring Applications with Sentinel-2, 10.3390/rs71215815
  30. Hagolle Olivier, Sylvander Sylvia, Huc Mireille, Claverie Martin, Clesse Dominique, Dechoz Cécile, Lonjou Vincent, Poulain Vincent, SPOT-4 (Take 5): Simulation of Sentinel-2 Time Series on 45 Large Sites, 10.3390/rs70912242
  31. Breiman Leo, 10.1023/a:1010933404324
  32. Matton Nicolas, Canto Guadalupe, Waldner François, Valero Silvia, Morin David, Inglada Jordi, Arias Marcela, Bontemps Sophie, Koetz Benjamin, Defourny Pierre, An Automated Method for Annual Cropland Mapping along the Season for Various Globally-Distributed Agrosystems Using High Spatial and Temporal Resolution Time Series, 10.3390/rs71013208
  33. Gao Bo-cai, NDWI—A normalized difference water index for remote sensing of vegetation liquid water from space, 10.1016/s0034-4257(96)00067-3
  34. Jakubauskas Mark E, Legates David R, Kastens Jude H, Crop identification using harmonic analysis of time-series AVHRR NDVI data, 10.1016/s0168-1699(02)00116-3
  35. Zhang Xiaoyang, Friedl Mark A., Schaaf Crystal B., Strahler Alan H., Hodges John C.F., Gao Feng, Reed Bradley C., Huete Alfredo, Monitoring vegetation phenology using MODIS, 10.1016/s0034-4257(02)00135-9
  36. Jonsson P., Eklundh L., Seasonality extraction by function fitting to time-series of satellite sensor data, 10.1109/tgrs.2002.802519
  37. Johnson, Photogramm. Eng. Remote Sens., 76, 1201 (2010)
  38. Breiman Leo, Bagging predictors, 10.1007/bf00058655
  39. Gislason Pall Oskar, Benediktsson Jon Atli, Sveinsson Johannes R., Random Forests for land cover classification, 10.1016/j.patrec.2005.08.011
  40. Rodriguez-Galiano V.F., Ghimire B., Rogan J., Chica-Olmo M., Rigol-Sanchez J.P., An assessment of the effectiveness of a random forest classifier for land-cover classification, 10.1016/j.isprsjprs.2011.11.002
  41. Long, GISci. Remote Sens., 50, 418 (2013)
  42. Kamusoko Courage, Gamba Jonah, Murakami Hitomi, Mapping Woodland Cover in the Miombo Ecosystem: A Comparison of Machine Learning Classifiers, 10.3390/land3020524
  43. LOBO A., CHIC O., CASTERAD A., Classification of Mediterranean crops with multisensor data: per-pixelversusper-object statistics and image segmentation, 10.1080/01431169608948779
  44. Blaschke T., Object based image analysis for remote sensing, 10.1016/j.isprsjprs.2009.06.004
  45. Hay, Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci., XXXVI-part 6, 4 (2006)
  46. Gao, Online J. Earth Sci., 2, 27 (2008)
  47. Cleve Casey, Kelly Maggi, Kearns Faith R., Moritz Max, Classification of the wildland–urban interface: A comparison of pixel- and object-based classifications using high-resolution aerial photography, 10.1016/j.compenvurbsys.2007.10.001
  48. Peña-Barragán José M., Ngugi Moffatt K., Plant Richard E., Six Johan, Object-based crop identification using multiple vegetation indices, textural features and crop phenology, 10.1016/j.rse.2011.01.009
  49. De Wit A. J. W., Clevers J. G. P. W., Efficiency and accuracy of per-field classification for operational crop mapping, 10.1080/01431160310001619580
  50. Pearson Karl, LIII.On lines and planes of closest fit to systems of points in space, 10.1080/14786440109462720
  51. Comaniciu D., Meer P., Mean shift: a robust approach toward feature space analysis, 10.1109/34.1000236
  52. Lhermitte Stefaan, Verbesselt Jan, Jonckheere Inge, Nackaerts Kris, van Aardt Jan A.N., Verstraeten Willem W., Coppin Pol, Hierarchical image segmentation based on similarity of NDVI time series, 10.1016/j.rse.2007.05.018
  53. Kennedy Robert E., Yang Zhiqiang, Cohen Warren B., Detecting trends in forest disturbance and recovery using yearly Landsat time series: 1. LandTrendr — Temporal segmentation algorithms, 10.1016/j.rse.2010.07.008
  54. Eastman, Photogram. Eng. Remote Sens., 59, 1307 (1993)
  55. Petitjean François, Kurtz Camille, Passat Nicolas, Gançarski Pierre, Spatio-temporal reasoning for the classification of satellite image time series, 10.1016/j.patrec.2012.06.009
  56. Sokolova Marina, Lapalme Guy, A systematic analysis of performance measures for classification tasks, 10.1016/j.ipm.2009.03.002
  57. Carletta, Comput. Linguist., 22, 249 (1996)