Mapping cropland-use intensity across Europe using MODIS NDVI time series

Environmental Research Letters

Volumn 11, Issue 2, 2016, Pages

  Estel, Stephan ^a   Kuemmerle, Tobias ^a   Levers, Christian ^a   Baumann, Matthias ^a   Hostert, Patrick ^a  

^a HUMBOLDT UNIVERSITY   (Germany)

Author keywords

crop duration ratio; cropping frequency; Europe; fallow cycles; land use intensity; multi cropping; self organizing maps

Indexed keywords

AGRICULTURE; CONFORMAL MAPPING; CROPS; ECONOMIC AND SOCIAL EFFECTS; LAND USE; POPULATION STATISTICS; RADIOMETERS; SATELLITE IMAGERY; SELF ORGANIZING MAPS;

CROP DURATION; CROPPING FREQUENCY; EUROPE; FALLOW CYCLES; MULTI-CROPPING;

TIME SERIES;

AGRICULTURAL INTENSIFICATION; AGRICULTURAL LAND; AGRICULTURAL PRODUCTION; ARTIFICIAL NEURAL NETWORK; CROP ROTATION; FALLOW; LAND USE CHANGE; MODIS; NDVI; SATELLITE IMAGERY; TIME SERIES;

GERMANY; POLAND [CENTRAL EUROPE];

EID: 84959321196     PISSN: 17489318     EISSN: 17489326     Source Type: Journal    
DOI: 10.1088/1748-9326/11/2/024015     Document Type: Article

References (75)

1. Bajzelj B, Richards K S, Allwood J M, Smith P, Dennis J S, Curmi E and Gilligan C A 2014 Importance of food-demand management for climate mitigation Nature Clim. Change 4 924-9
2. Beringer T, Lucht W and Schaphoff S 2011 Bioenergy production potential of global biomass plantations under environmental and agricultural constraints GCB Bioenergy 3 299-312
3. Biradar C M and Xiao X 2011 Quantifying the area and spatial distribution of double- and triple-cropping croplands in India with multi-temporal MODIS imagery in 2005 Int. J. Remote Sens. 32 367-86
4. Blengini G A and Busto M 2009 The life cycle of rice: LCA of alternative agri-food chain management systems in Vercelli (Italy) J. Environ. Manag. 90 1512-22
5. Boellstorff D and Benito G 2005 Impacts of set-aside policy on the risk of soil erosion in central Spain Agriculture, Ecosystems & Environment 107 231-43
6. Bradley B A, Jacob R W, Hermance J F and Mustard J F 2007 A curve fitting procedure to derive inter-annual phenologies from time series of noisy satellite NDVI data Remote Sens. Environ. 106 137-45
7. Butchart S H M et al 2010 Global biodiversity: indicators of recent declines Science 328 1164-8
8. Davies D L and Bouldin D W 1979 A cluster separation measure IEEE Trans. on Pattern Analysis and Machine Intelligence PAMI-1 224-7
9. de Beurs K M and Ioffe G 2013 Use of landsat and MODIS data to remotely estimate Russia's sown area J. Land Use Sci. 9 377-401
10. Defourny P, Bontemps S, van Bogaert. E, Weber J L and Soukup T 2010 GlobCorine Validation Report (http://due.esrin.esa.int/files/p114/GLOBCORINE-VR-2.1-20100406.pdf) (accessed 24 March 2015)
11. Erb K-H, Haberl H, Jepsen M R, Kuemmerle T, Lindner M, Müller D, Verburg P H and Reenberg A 2013 A conceptual framework for analysing and measuring land-use intensity Current Opinion in Environmental Sustainability 5 464-70
12. Erb K-H, Haberl H, Krausmann F, Lauk C, Plutzar C, Steinberger J K, Müller C, Bondeau A, Waha K and Pollack G 2009 Eating the Planet: Feeding and Fuelling the World Sustainably, Fairly and Humanely - A Scoping Study Social Ecology Working (Vienna: Institute of Social Ecology) p 116
13. Estel S, Kuemmerle T, Alcántara C, Levers C, Prishchepov A and Hostert P 2015 Mapping farmland abandonment and recultivation across Europe using MODIS NDVI time series Remote Sens. Environ. 163 312-25
14. EU 2005 Soil Atlas of Europe (Luxembourg: European Communities)
15. FAO/EC/ISRIC 2003 World Soil Resources (http://fao.org/soils-portal/soil-survey/soil-maps-and-databases/en/) (accessed 15 April 2015)
16. Fischer G, Velthuizen V H and Nachtergaele F O 2000 Interim Report (IR-00-064): Global Agro-Ecological Zones Assessment: Methodology and Results International Institute for Applied Systems Analysis (IIASA) (www.iiasa.ac.at/publication/more-IR-00-064.php)
17. Fisher J, Mustard J and Vadeboncoeur M 2006 Green leaf phenology at landsat resolution: scaling from the field to the satellite Remote Sens. Environ. 100 265-79
18. Foley J A et al 2011 Solutions for a cultivated planet Nature 478 337-42
19. Friedl M A, Sulla-Menashe D, Tan B, Schneider A, Ramankutty N, Sibley A and Huang X 2010 MODIS collection 5 global land cover: algorithm refinements and characterization of new datasets Remote Sens. Environ. 114 168-82
20. Fritz S, See L, McCallum I, Schill C, Obersteiner M, van der Velde M, Boettcher H, Havlík P and Achard F 2011 Highlighting continued uncertainty in global land cover maps for the user community Environ. Res. Lett. 6 044005
21. Fritz S et al 2015 Mapping global cropland and field size Glob. Change Biol. 21 1980-92
22. Fritz S et al 2013 The need for improved maps of global cropland Eos Trans. AGU 94 31-2
23. Galford G L, Mustard J F, Melillo J, Gendrin A, Cerri C C and Cerri C E P 2008 Wavelet analysis of MODIS time series to detect expansion and intensification of row-crop agriculture in Brazil Remote Sens. Environ. 112 576-87
24. Ganguly S, Friedl M A, Tan B, Zhang X and Verma M 2010 Land surface phenology from MODIS: characterization of the collection 5 global land cover dynamics product Remote Sens. Environ. 114 1805-16
25. Garnett T et al 2013 Sustainable intensification in agriculture: premises and policies Science 341 33-4
26. Gellrich M, Baur P, Koch B and Zimmermann N E 2007 Agricultural land abandonment and natural forest re-growth in the Swiss mountains: a spatially explicit economic analysis Agriculture, Ecosystems & Environment 118 93-108
27. Gienapp C, Sanftleben P, Jennerich H J and Heilmann H 2012 Beiträge zur Weizenproduktion Mitteilungen der Landesforschungsanstalt für Landwirtschaft und Fischerei Landesforschungsanstalt für Landwirtschaft und Fischerei, Dorfplatz 1, 18276 Gülzow (www.landwirtschaft-mv.de/cms2/LFA-prod/LFA/content/de/-Service/Mitteilungen-der-LFA/Heft-47/index.jsp)
28. Godfray H C J, Beddington J R, Crute I R, Haddad L, Lawrence D, Muir J F, Pretty J, Robinson S, Thomas S M and Toulmin C 2010 Food security: the challenge of feeding 9 billion people Science 327 812-8
29. Haberl H, Steinberger J K, Plutzar C, Erb K-H, Gaube V, Gingrich S and Krausmann F 2012 Natural and socioeconomic determinants of the embodied human appropriation of net primary production and its relation to other resource use indicators Ecological Indicators 23 222-31
30. Herzog F et al 2006 Assessing the intensity of temperate European agriculture at the landscape scale Eur. J. Agro. 24 165-81
31. Hickler T et al 2012 Projecting the future distribution of European potential natural vegetation zones with a generalized, tree species-based dynamic vegetation model Glob. Ecol. Biogeogr. 21 50-63
32. Johnson D M 2013 A 2010 map estimate of annually tilled cropland within the conterminous United States Agricultural Systems 114 95-105
33. Johnston M, Licker R, Foley J, Holloway T, Mueller N D, Barford C and Kucharik C 2011 Closing the gap: global potential for increasing biofuel production through agricultural intensification Environ. Res. Lett. 6 034028
34. Jönsson P and Eklundh L 2004 TIMESAT - a program for analyzing time-series of satellite sensor data Comput. Geosci. 30 833-45
35. Krausmann F, Erb K-H, Gingrich S, Haberl H, Bondeau A, Gaube V, Lauk C, Plutzar C and Searchinger T D 2013 Global human appropriation of net primary production doubled in the 20th century Proc. Natl Acad. Sci. USA 110 10324-9
36. Kuemmerle T et al 2013 Challenges and opportunities in mapping land use intensity globally Current Opinion in Environmental Sustainability 5 484-93
37. Kuemmerle T, Olofsson P, Chaskovskyy O, Baumann M, Ostapowicz K, Woodcock C E, Houghton R A, Hostert P, Keeton W S and Radeloff V C 2011 Post-Soviet farmland abandonment, forest recovery, and carbon sequestration in western Ukraine Glob. Change Biol. 17 1335-49
38. Langeveld J W A, Dixon J, van Keulen H and Quist-Wessel P M F 2014 Analyzing the effect of biofuel expansion on land use in major producing countries: evidence of increased multiple cropping Biofuels, Bioproducts and Biorefining 8 49-58
39. Laurance W F, Sayer J and Cassman K G 2014 Agricultural expansion and its impacts on tropical nature Trends in Ecology & Evolution 29 107-16
40. Li L, Friedl M A, Xin Q, Gray J, Pan Y and Frolking S 2014 Mapping crop cycles in China using MODIS-EVI time series Remote Sensing 6 2473-93
41. Licker R, Johnston M, Foley J A, Barford C, Kucharik C J, Monfreda C and Ramankutty N 2010 Mind the gap: how do climate and agricultural management explain the 'yield gap' of croplands around the world? Glob. Ecol. Biogeogr. 19 769-82
42. MacDonald D, Crabtree J R, Wiesinger G, Dax T, Stamou N, Fleury P, Gutierrez Lazpita J and Gibon A 2000 Agricultural abandonment in mountain areas of Europe: environmental consequences and policy response J. Environ. Manag. 59 47-69
43. Matson P A, Parton W J, Power A G and Swift M J 1997 Agricultural intensification and ecosystem properties Science 277 504-9
44. Maulik U and Bandyopadhyay S 2002 Performance evaluation of some clustering algorithms and validity indices IEEE Trans. Pattern Anal. Mach. Intell. 24 1650-4
45. Monfreda C, Ramankutty N and Foley J A 2008 Farming the planet: 2. Geographic distribution of crop areas, yields, physiological types, and net primary production in the year 2000 Global Biogeochemical Cycles 22 GB1022
46. Mueller N D, Gerber J S, Johnston M, Ray D K, Ramankutty N and Foley J A 2012 Closing yield gaps through nutrient and water management Nature 490 254-7
47. Müller D, Leitão P J and Sikor T 2013 Comparing the determinants of cropland abandonment in Albania and Romania using boosted regression trees Agricultural Systems 117 66-77
48. Neumann K, Verburg P H, Stehfest E and Müller C 2010 The yield gap of global grain production: a spatial analysis Agricultural Systems 103 316-26
49. Portmann F T, Siebert S and Döll P 2010 MIRCA2000 - global monthly irrigated and rainfed crop areas around the year 2000: a new high-resolution data set for agricultural and hydrological modeling Glob. Biogeochem. Cycles 24 GB1011
50. Potter P, Ramankutty N, Bennett E M and Donner S D 2010 Characterizing the spatial patterns of global fertilizer application and manure production Earth Interactions 14 1-22
51. Prishchepov A V, Radeloff V C, Baumann M, Kuemmerle T and Müller D 2012 Effects of institutional changes on land use: agricultural land abandonment during the transition from state-command to market-driven economies in post-Soviet Eastern Europe Environ. Res. Lett. 7 024021
52. Ramankutty N, Foley J A, Norman J and McSweeney K 2002 The global distribution of cultivable lands: current patterns and sensitivity to possible climate change Glob. Ecol. Biogeogr. 11 377-92
53. Ray D K and Foley J A 2013 Increasing global crop harvest frequency: recent trends and future directions Environ. Res. Lett. 8 44041-50
54. Rey Benayas J 2007 Abandonment of agricultural land: an overview of drivers and consequences CAB Reviews: Perspectives in Agriculture, Veterinary Science, Nutrition and Natural Resources 2 14
55. Rogan J and Chen D 2004 Remote sensing technology for mapping and monitoring land-cover and land-use change Progress in Planning 61 301-25
56. Rounsevell M D A et al 2012 Challenges for land system science Land Use Policy 29 899-910
57. Rudel T K et al 2009 Agricultural intensification and changes in cultivated areas, 1970-2005 Proc. Natl Acad. Sci. USA 106 20675-80
58. Sakamoto T, Van Phung C, Kotera A, Nguyen K D and Yokozawa M 2009 Analysis of rapid expansion of inland aquaculture and triple rice-cropping areas in a coastal area of the Vietnamese Mekong Delta using MODIS time-series imagery Landscape and Urban Planning 92 34-46
59. Salmon J M, Friedl M A, Frolking S, Wisser D and Douglas E M 2015 Global rain-fed, irrigated, and paddy croplands: a new high resolution map derived from remote sensing, crop inventories and climate data International Journal of Applied Earth Observation and Geoinformation 38 321-34
60. Schierhorn F, Faramarzi M, Prishchepov A V, Koch F J and Müller D 2014 Quantifying yield gaps in wheat production in Russia Environ. Res. Lett. 9 084017
61. Siebert S, Burke J, Faures J M, Frenken K, Hoogeveen J, Döll P and Portmann F T 2010a Groundwater use for irrigation - a global inventory Hydrol. Earth Syst. Sci. 14 1863-80
62. Siebert S, Hoogeveen J and Frenken K 2006 Irrigation in Africa, Europe and Latin America - update of the digital global map of irrigation areas to version 4 Frankfurt Hydrology Paper 05 Institute of Physical Geography, University of Frankfurt, Frankfurt am Main, Germany and Food and Agriculture Organization of the United Nations, Rome, Italy
63. Siebert S, Portmann F T and Döll P 2010b Global patterns of cropland use intensity Remote Sensing 2 1625-43
64. Skupin A and Agarwal P 2008 Introduction: what is a self-organizing map? Self-Organising Maps ed A Skupin and P Agarwal pp 1-20
65. Spera S A, Cohn A S, VanWey L K, Mustard J F, Rudorff B F, Risso J and Adami M 2014 Recent cropping frequency, expansion, and abandonment in Mato Grosso, Brazil had selective land characteristics Environ. Res. Lett. 9 064010
66. Temme A J A M and Verburg P H 2011 Mapping and modelling of changes in agricultural intensity in Europe Agriculture, Ecosystems & Environment 140 46-56
67. Thenkabail P et al 2009 Global irrigated area map (GIAM), derived from remote sensing, for the end of the last millennium Int. J. Remote Sens. 30 55
68. Tilman D, Balzer C, Hill J and Befort B L 2011 Global food demand and the sustainable intensification of agriculture Proc. Natl Acad. Sci. USA 108 20260-4
69. Tilman D, Cassman K G, Matson P A, Naylor R and Polasky S 2002 Agricultural sustainability and intensive production practices Nature 418 671-7
70. Tscharntke T, Clough Y, Wanger T C, Jackson L, Motzke I, Perfecto I, Vandermeer J and Whitbread A 2012 Global food security, biodiversity conservation and the future of agricultural intensification Biological Conservation 151 53-9
71. Verburg P H, Neumann K and Nol L 2011 Challenges in using land use and land cover data for global change studies Glob.Change Biol. 17 974-89
72. Wardlow B D and Egbert S L 2008 Large-area crop mapping using time-series MODIS 250 m NDVI data: an assessment for the US central great plains Remote Sens. Environ. 112 1096-116
73. West P C et al 2014 Leverage points for improving global food security and the environment Science 345 325-8
74. Zaks D P M and Kucharik C J 2011 Data and monitoring needs for a more ecological agriculture Environ. Res. Lett. 6 014017
75. Zhang X, Friedl M A, Schaaf C B and Strahler A H 2004 Climate controls on vegetation phenological patterns in northern mid- and high latitudes inferred from MODIS data Glob. Change Biol. 10 1133-45