Spatiotemporal patterns of paddy rice croplands in China and India from 2000 to 2015

Science of the Total Environment

Volumn 579, Issue , 2017, Pages 82-92

  Zhang, Geli ^a   Xiao, Xiangming ^a,b   Biradar, Chandrashekhar M ^c   Dong, Jinwei ^a   Qin, Yuanwei ^a   Menarguez, Michael A ^a   Zhou, Yuting ^a   Zhang, Yao ^a   Jin, Cui ^a   Wang, Jie ^a   Doughty, Russell B ^a   Ding, Mingjun ^d   Moore, Berrien ^a  

^a UNIVERSITY OF OKLAHOMA   (United States)

^b FUDAN UNIVERSITY   (China)

^c INTERNATIONAL CENTER FOR AGRICULTURAL RESEARCH IN THE DRY AREAS ICARDA   (Jordan)

^d JIANGXI NORMAL UNIVERSITY   (China)

Author keywords

China; Food security; India; MODIS; Paddy rice agriculture; Phenology based algorithm

Indexed keywords

AGRICULTURE; BIODIVERSITY; BIOLOGY; FOOD SUPPLY; IMAGE RECONSTRUCTION; POPULATION STATISTICS; RADIOMETERS; SATELLITE IMAGERY;

CHINA; FOOD SECURITY; INDIA; MODIS; PADDY RICE;

CLIMATE CHANGE;

AGRICULTURE; ALGORITHM; FOOD SECURITY; MODIS; PADDY FIELD; SPATIOTEMPORAL ANALYSIS;

AGRICULTURAL MANAGEMENT; ARTICLE; BIODIVERSITY; CHINA; CLIMATE CHANGE; CROPLAND; ENVIRONMENTAL MANAGEMENT; FOOD SECURITY; GEOGRAPHIC DISTRIBUTION; INDIA; LAND USE; PADDY RICE CROPLAND; PHENOLOGY; PLANTING TIME; POPULATION GROWTH; PRIORITY JOURNAL; RELIABILITY; REMOTE SENSING; SPATIOTEMPORAL ANALYSIS; TOPOGRAPHY; URBANIZATION; VEGETATION; WETLAND; AGRICULTURE; CROP; ENVIRONMENTAL MONITORING; GROWTH, DEVELOPMENT AND AGING; ORYZA; SATELLITE IMAGERY; STATISTICS AND NUMERICAL DATA;

CHINA; INDIA;

AGRICULTURE; CHINA; CLIMATE CHANGE; CROPS, AGRICULTURAL; ENVIRONMENTAL MONITORING; INDIA; ORYZA; SATELLITE IMAGERY;

EID: 85006867334     PISSN: 00489697     EISSN: 18791026     Source Type: Journal    
DOI: 10.1016/j.scitotenv.2016.10.223     Document Type: Article

References (78)

1. admin, Planting of main paddy rice crop of India 2015–16 (Kharif) slows down as it is near completion. 2015, riceoutlook. http://riceoutlook.com/planting-of-main-paddy-rice-crop-of-india-2015-16kharif-slows-down-as-it-is-near-completion/, 2015.
2. Arino, O., Bicheron, P., Achard, F., Latham, J., Witt, R., Weber, J.L., GLOBCOVER the Most Detailed Portrait of Earth. Esa Bulletin-European Space Agency. 2008, 24–31.
3. Biradar, C.M., Xiao, X.M., 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 (2011), 367–386.
4. Bouvet, A., Le Toan, T., Nguyen, L.-D., Monitoring of the rice cropping system in the Mekong Delta using ENVISAT/ASAR dual polarization data. IEEE Trans. Geosci. Remote Sens. 47 (2009), 517–526.
5. Chen, H., Zhu, Q.A., Peng, C.H., Wu, N., Wang, Y.F., Fang, X.Q., et al. Methane emissions from rice paddies natural wetlands, lakes in China: synthesis new estimate. Glob. Chang. Biol. 19 (2013), 19–32.
6. Cheng, Y.-X., Wang, X.-Z., Guo, J.-P., Zhao, Y.-X., Huang, J.-F., The temporal-spatial dynamic analysis of China rice production. Sci. Agric. Sin. 45 (2012), 3473–3485.
7. Dong, Y.F., Sun, G.Q., Pang, Y., Monitoring of rice crop using ENVISAT ASAR data. Sci. China Ser. D Earth Sci. 49 (2006), 755–763.
8. Dong, J., Xiao, X., Kou, W., Qin, Y., Zhang, G., Li, L., et al. Tracking the dynamics of paddy rice planting area in 1986–2010 through time series Landsat images and phenology-based algorithms. Remote Sens. Environ. 162 (2015), 154–168.
9. Dong, J., Xiao, X., Zhang, G., Menarguez, M.A., Choi, C.Y., Qin, Y., et al. Northward expansion of paddy rice in northeastern Asia during 2000–2014. Geophys. Res. Lett. 43 (2016), 3754–3761.
10. Drusch, M., Del Bello, U., Carlier, S., Colin, O., Fernandez, V., Gascon, F., et al. Sentinel-2: ESA's optical high-resolution mission for GMES operational services. Remote Sens. Environ. 120 (2012), 25–36.
11. Friedl, M.A., Sulla-Menashe, D., Tan, B., Schneider, A., Ramankutty, N., Sibley, A., et al. MODIS collection 5 global land cover: algorithm refinements and characterization of new datasets. Remote Sens. Environ. 114 (2010), 168–182.
12. Fritz, S., See, L., McCallum, I., You, L., Bun, A., Moltchanova, E., et al. Mapping global cropland and field size. Glob. Chang. Biol. 21 (2015), 1980–1992.
13. Frolking, S., Xiao, X.M., Zhuang, Y.H., Salas, W., Li, C.S., Agricultural land-use in China: a comparison of area estimates from ground-based census and satellite-borne remote sensing. Glob. Ecol. Biogeogr. 8 (1999), 407–416.
14. Frolking, S., Qiu, J.J., Boles, S., Xiao, X.M., Liu, J.Y., Zhuang, Y.H., et al. Combining remote sensing and ground census data to develop new maps of the distribution of rice agriculture in China. Glob. Biogeochem. Cycles, 16, 2002.
15. Frolking, S., Yeluripati, J.B., Douglas, E., New district-level maps of rice cropping in India: a foundation for scientific input into policy assessment. Field Crop Res. 98 (2006), 164–177.
16. Gallucci, M., India drought 2015: climate change is biggest threat to India's economy, modi finance aide says, International Business Times. http://www.ibtimes.com/india-drought-2015-climate-change-biggest-threat-indias-economy-modi-finance-aide-2165051, 2015.
17. Gilbert, M., Xiao, X.M., Pfeiffer, D.U., Epprecht, M., Boles, S., Czarnecki, C., et al. Mapping H5N1 highly pathogenic avian influenza risk in Southeast Asia. Proc. Natl. Acad. Sci. U. S. A. 105 (2008), 4769–4774.
18. Gilbert, M., Golding, N., Zhou, H., Wint, G.R.W., Robinson, T.P., Tatem, A.J., et al. Predicting the risk of avian influenza A H7N9 infection in live-poultry markets across Asia. Nat. Commun., 5, 2014.
19. Gumma, M.K., Nelson, A., Thenkabail, P.S., Singh, A.N., Mapping rice areas of South Asia using MODIS multitemporal data. J. Appl. Remote. Sens., 5, 2011, 053547.
20. Gumma, M.K., Thenkabail, P.S., Maunahan, A., Islam, S., Nelson, A., Mapping seasonal rice cropland extent and area in the high cropping intensity environment of Bangladesh using MODIS 500 m data for the year 2010. ISPRS J. Photogramm. Remote Sens. 91 (2014), 98–113.
21. Gumma, M.K., Mohanty, S., Nelson, A., Arnel, R., Mohammed, I.A., Das, S.R., Remote sensing based change analysis of rice environments in Odisha, India. J. Environ. Manag. 148 (2015), 31–41.
22. Hall, D.K., Riggs, G.A., Salomonson, V.V., Development of methods for mapping global snow cover using moderate resolution imaging spectroradiometer data. Remote Sens. Environ. 54 (1995), 127–140.
23. Hall, D.K., Riggs, G.A., Salomonson, V.V., DiGirolamo, N.E., Bayr, K.J., MODIS snow-cover products. Remote Sens. Environ. 83 (2002), 181–194.
24. Hazell, P., Wood, S., Drivers of change in global agriculture. Philos. Trans. R. Soc., B 363 (2008), 495–515.
25. Huang, W., Sui, Y., Yang, X., Dai, Z., Qu, H., Li, M., Spatio-temporal characteristics of crop drought in southern China based on drought index of continuous days without available precipitation. Trans. Chin. Soc. Agric. Eng. 30 (2014), 125–135.
26. Huete, A., Didan, K., Miura, T., Rodriguez, E.P., Gao, X., Ferreira, L.G., Overview of the radiometric and biophysical performance of the MODIS vegetation indices. Remote Sens. Environ. 83 (2002), 195–213.
27. Jain, M., Mondal, P., DeFries, R.S., Small, C., Galford, G.L., Mapping cropping intensity of smallholder farms: a comparison of methods using multiple sensors. Remote Sens. Environ. 134 (2013), 210–223.
28. Jin, C., Xiao, X., Dong, J., Qin, Y., Wang, Z., Mapping paddy rice distribution using multi-temporal Landsat imagery in the Sanjiang Plain, northeast China. Front. Earth Sci., 1-14, 2015.
29. Shi, J.-j., J-f, H., Zhang, F., Multi-year monitoring of paddy rice planting area in Northeast China using MODIS time series data. J. Zheijang Univ. Sci. B 14 (2013), 934–946.
30. Johnson, D.M., Mueller, R., The 2009 cropland data layer. Photogramm. Eng. Remote. Sens. 76 (2010), 1201–1205.
31. Karila, K., Nevalainen, O., Krooks, A., Karjalainen, M., Kaasalainen, S., Monitoring changes in rice cultivated Area from SAR and optical satellite images in Ben Tre and Tra Vinh Provinces in Mekong Delta, Vietnam. Remote Sens. 6 (2014), 4090–4108.
32. Kontgis, C., Schneider, A., Ozdogan, M., Mapping rice paddy extent and intensification in the Vietnamese Mekong River Delta with dense time stacks of Landsat data. Remote Sens. Environ. 169 (2015), 255–269.
33. Kuenzer, C., Knauer, K., Remote sensing of rice crop areas. Int. J. Remote Sens. 34 (2013), 2101–2139.
34. Li, C., Xiao, X., Frolking, S., Moore, B., Salas, W., Qiu, J., et al. Greenhouse gas emissions from croplands of China. J. Quat. Sci. 23 (2003), 493–503.
35. Li, Z.G., Liu, Z.H., Anderson, W., Yang, P., Wu, W.B., Tang, H.J., et al. Chinese rice production area adaptations to climate changes, 1949-2010. Environ. Sci. Technol. 49 (2015), 2032–2037.
36. Liu, H.Y., Zhang, S.K., Li, Z.F., Lu, X.G., Yang, Q., Impacts on wetlands of large-scale land-use changes by agricultural development: the small Sanjiang Plain, China. Ambio 33 (2004), 306–310.
37. Liu, J., Liu, M., Tian, H., Zhuang, D., Zhang, Z., Zhang, W., et al. Spatial and temporal patterns of China's cropland during 1990–2000: an analysis based on Landsat TM data. Remote Sens. Environ. 98 (2005), 442–456.
38. Liu, J.Y., Zhang, Z.X., Xu, X.L., Kuang, W.H., Zhou, W.C., Zhang, S.W., et al. Spatial patterns and driving forces of land use change in China during the early 21st century. J. Geogr. Sci. 20 (2010), 483–494.
39. Liu, Z., Li, Z., Tang, P., Li, Z., Wu, W., Yang, P., et al. Change analysis of rice area and production in China during the past three decades. J. Geogr. Sci. 23 (2013), 1005–1018.
40. Liu, J., Kuang, W., Zhang, Z., Xu, X., Qin, Y., Ning, J., et al. Spatiotemporal characteristics, patterns, and causes of land-use changes in China since the late 1980s. J. Geogr. Sci. 24 (2014), 195–210.
41. Liu, Z., Yang, P., Tang, H., Wu, W., Zhang, L., Yu, Q., et al. Shifts in the extent and location of rice cropping areas match the climate change pattern in China during 1980–2010. Reg. Environ. Chang. 15 (2014), 919–929.
42. Lobell, D.B., Burke, M.B., Tebaldi, C., Mastrandrea, M.D., Falcon, W.P., Naylor, R.L., Prioritizing climate change adaptation needs for food security in 2030. Science 319 (2008), 607–610.
43. Maclean, J.L., Hettel, G.P., Rice Almanac: Source Book for the Most Important Economic Activity on Earth: IRRI (Free PDF Download). 2002.
44. Miyaoka, K., Maki, M., Susaki, J., Homma, K., Noda, K., Oki, K., Rice-planted area mapping using small sets of multi-temporal SAR data. IEEE Geosci. Remote Sens. Lett., 2013, 1–5.
45. Nelson, A., Gumma, M.K., IRRI, (eds.) A Map of Lowland Rice Extent in the Major Rice Growing Countries of Asia, 2015, IRRI, Los Banos, Philippines.
46. Nelson, A., Setiyono, T., Rala, A.B., Quicho, E.D., Raviz, J.V., Abonete, P.J., et al. Towards an operational SAR-based rice monitoring system in Asia: examples from 13 demonstration sites across Asia in the RIICE project. Remote Sens. 6 (2014), 10773–10812.
47. Pandey, B., Seto, K.C., Urbanization and agricultural land loss in India: comparing satellite estimates with census data. J. Environ. Manag. 148 (2015), 53–66.
48. Peel, M., Finlayson, B., McMahon, T., Updated world map of the Koppen-Geiger climate classification. Hydrol. Earth Syst. Sci. 11 (2007), 1633–1644.
49. Piao, S.L., Ciais, P., Huang, Y., Shen, Z.H., Peng, S.S., Li, J.S., et al. The impacts of climate change on water resources and agriculture in China. Nature 467 (2010), 43–51.
50. Qin, Y., Xiao, X., Dong, J., Zhou, Y., Zhu, Z., Zhang, G., et al. Mapping paddy rice planting area in cold temperate climate region through analysis of time series Landsat 8 (OLI), Landsat 7 (ETM +) and MODIS imagery. ISPRS J. Photogramm. Remote Sens. 105 (2015), 220–233.
51. Qin, Y., Xiao, X., Dong, J., Zhang, G., Roy, P.S., Joshi, P.K., et al. Mapping forests in monsoon Asia with ALOS PALSAR 50-m mosaic images and MODIS imagery in 2010. Sci. Report., 6, 2016, 20880.
52. Rao, P.P.N., Rao, V.R., Rice crop identification and area estimation using remotely-sensed data from Indian cropping patterns. Int. J. Remote Sens. 8 (1987), 639–650.
53. Sakamoto, T., Van Phung, C., Kotera, A., Nguyen, K.D., Yokozawa, M., 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. Landsc. Urban Plan. 92 (2009), 34–46.
54. Samad, M., Merrey, D., Vermillion, D., Fuchscarsch, M., Mohtadullah, K., Lenton, R., Irrigation management strategies for improving the performance of irrigated agriculture. Outlook Agric. 21 (1992), 279–286.
55. Sass, R.L., Cicerone, R.J., Photosynthate allocations in rice plants: food production or atmospheric methane?. Proc. Natl. Acad. Sci. U. S. A. 99 (2002), 11993–11995.
56. Seto, K.C., Kaufmann, R.K., Woodcock, C.E., Landsat reveals China's farmland reserves, but they're vanishing fast. Nature, 406, 2000, 121.
57. Sun, H.S., Huang, J.F., Huete, A.R., Peng, D.L., Zhang, F., Mapping paddy rice with multi-date moderate-resolution imaging spectroradiometer (MODIS) data in China. J. Zheijang Univ. Sci. A 10 (2009), 1509–1522.
58. Tong, C.L., Hall, C.A.S., Wang, H.Q., Land use change in rice, wheat and maize production in China (1961-1998). Agric. Ecosyst. Environ. 95 (2003), 523–536.
59. van Groenigen, K.J., van Kessel, C., Hungate, B.A., Increased greenhouse-gas intensity of rice production under future atmospheric conditions. Nat. Clim. Chang. 3 (2013), 288–291.
60. Vermote, E., Vermeulen, A., Atmospheric Correction Algorithm: Spectral Reflectances (MOD09). ATBD Version. 4, 1999.
61. Wang, Z.M., Song, K.S., Ma, W.H., Ren, C.Y., Zhang, B., Liu, D.W., et al. Loss and fragmentation of marshes in the Sanjiang Plain, Northeast China, 1954–2005. Wetlands 31 (2011), 945–954.
62. Wang, J., Xiao, X., Qin, Y., Dong, J., Zhang, G., Kou, W., et al. Mapping paddy rice planting area in wheat-rice double-cropped areas through integration of Landsat-8 OLI, MODIS, and PALSAR images. Sci. Report., 5, 2015, 10088.
63. Wu, F., Wang, C., Zhang, H., Zhang, B., Tang, Y.X., Rice crop monitoring in South China with RADARSAT-2 quad-polarization SAR data. IEEE Geosci. Remote Sens. Lett. 8 (2011), 196–200.
64. Xiao, X., Boles, S., Frolking, S., Salas, W., Moore, B., Li, C., et al. Landscape-scale characterization of cropland in China using vegetation and landsat TM images. Int. J. Remote Sens. 23 (2002), 3579–3594.
65. Xiao, X., Boles, S., Frolking, S., Salas, W., Moore, B., Li, C., et al. Observation of flooding and rice transplanting of paddy rice fields at the site to landscape scales in China using VEGETATION sensor data. Int. J. Remote Sens. 23 (2002), 3009–3022.
66. Xiao, X., Boles, S., Liu, J., Zhuang, D., Liu, M., Characterization of forest types in Northeastern China, using multi-temporal SPOT-4 VEGETATION sensor data. Remote Sens. Environ. 82 (2002), 335–348.
67. Xiao, X.M., Liu, J.Y., Zhuang, D.F., Frolking, S., Boles, S., Xu, B., et al. Uncertainties in estimates of cropland area in China: a comparison between an AVHRR-derived dataset and a Landsat TM-derived dataset. Glob. Planet. Chang. 37 (2003), 297–306.
68. Xiao, X.M., Boles, S., Liu, J.Y., Zhuang, D.F., Frolking, S., Li, C.S., et al. Mapping paddy rice agriculture in southern China using multi-temporal MODIS images. Remote Sens. Environ. 95 (2005), 480–492.
69. Xiao, X., Boles, S., Frolking, S., Li, C., Babu, J.Y., Salas, W., et al. Mapping paddy rice agriculture in South and Southeast Asia using multi-temporal MODIS images. Remote Sens. Environ. 100 (2006), 95–113.
70. Xiao, X., Biradar, C., Czarnecki, C., Alabi, T., Keller, M., A simple algorithm for large-scale mapping of evergreen forests in tropical America, Africa and Asia. Remote Sens. 1 (2009), 355–374.
71. Xu, C., Sun, L., Zhou, X., Li, F., Fang, F., Characteristics of rice production in South China and policy proposals for its steady development. Res. Agric. Mod. 34 (2013), 129–132.
72. Yang, X., Lin, E., Ma, S.M., Ju, H., Guo, L.P., Xiong, W., et al. Adaptation of agriculture to warming in Northeast China. Clim. Chang. 84 (2007), 45–58.
73. Yang, S.B., Shen, S.H., Li, B.B., Le Toan, T., He, W., Rice mapping and monitoring using ENVISAT ASAR data. IEEE Geosci. Remote Sens. Lett. 5 (2008), 108–112.
74. Yu, L., Wang, J., Clinton, N., Xin, Q.C., Zhong, L.H., Chen, Y.L., et al. FROM-GC: 30 m global cropland extent derived through multisource data integration. Int. J. Digital Earth 6 (2013), 521–533.
75. Zhang, S.Q., Na, X.D., Kong, B., Wang, Z.M., Jiang, H.X., Yu, H., et al. Identifying wetland change in China's Sanjiang Plain using remote sensing. Wetlands 29 (2009), 302–313.
76. Zhang, G., Xiao, X., Dong, J., Kou, W., Jin, C., Qin, Y., et al. Mapping paddy rice planting areas through time series analysis of MODIS land surface temperature and vegetation index data. ISPRS J. Photogramm. Remote Sens. 106 (2015), 157–171.
77. Zhou, Y., Xiao, X., Qin, Y., Dong, J., Zhang, G., Kou, W., et al. Mapping paddy rice planting area in rice-wetland coexistent areas through analysis of Landsat 8 OLI and MODIS images. Int. J. Appl. Earth Obs. Geoinf. 46 (2016), 1–12.
78. Zuo, L., Zhang, Z., Zhao, X., Wang, X., Wu, W., Yi, L., et al. Multitemporal analysis of cropland transition in a climate-sensitive area: a case study of the arid and semiarid region of northwest China. Reg. Environ. Chang. 14 (2014), 75–89.