Research on spatiotemporal pattern of crop phenological characteristics and cropping system in North China Based on NDVI time series data

Shengtai Xuebao/ Acta Ecologica Sinica

Volumn 29, Issue 11, 2009, Pages 6216-6226

  Li, Zheng Guo ^a,b   Yang, Peng ^a,b   Zhou, Qing Bo ^a,b   Wang, Yang Lin ^c   Wu, Weng Bin ^a,b   Zhang, Li ^a,b   Chang, Hsiao Fei ^d  

^a AGRO ENVIRONMENTAL PROTECTION INSTITUTE   (China)

^b INSTITUTE OF PLANT PROTECTION   (China)

^c PEKING UNIVERSITY   (China)

^d RESEARCH CENTER FOR ECO ENVIRONMENTAL SCIENCES   (China)

Author keywords

Crop phenology; NDVI; North China; Time series

Indexed keywords

AGRICULTURAL DEVELOPMENT; AGRICULTURAL ECOSYSTEM; AGRICULTURAL RESEARCH; ANNUAL VARIATION; CEREAL; CLIMATE EFFECT; CROP PERFORMANCE; CROP YIELD; ENVIRONMENTAL CONDITIONS; FARMING SYSTEM; FOOD SECURITY; GROWING SEASON; NDVI; PHENOLOGY; SPATIOTEMPORAL ANALYSIS; SPOT; TIME SERIES;

CHINA; NORTH CHINA PLAIN;

EID: 73249148545     PISSN: 10000933     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (27)

1. Running S W, Nemani R R. Relating seasonal patterns of the AVHRR vegetation index to simulated photosynthesis and transpiration of forests in different climates. Remote Sensing of Environment, 1988, 24:347-367.
2. Sellers P J, Dickinson R E, Randall DA, et al. Modeling the exchanges of energy, water, and carbon between continents and the atmosphere. Science, 1997, 275:502-509.
3. Rosenqvist A, Imhoff M, Milne A, et al. Remote sensing and the kyoto protocol-A workshop summary. International Archives of Photogrammetry and Remote Sensing, Amsterdam, The Netherlands, 2000, 33:1278-1285.
4. Tang G P, Li X B, Fisher G, et al. Climate Change and Its impacts on China's Agriculture. Acta Geographica Sinica, 2000, 55(2):129-138.
5. Wang Z, Zheng Y P. Impacts of global change on China's food security. Geographical Research, 2001, 20(3):282-289.
6. Xiao G J, Zhang Q, Wang J. Impact of global climate change on agroecosystem: A review. Chinese Journal of Applied Ecology, 2007, 18(8):1877-1885.
7. Lobell D B, Burke M B, Tebaldi C, et al. Prioritizing climate change adaptation needs for food security in 2030. Science, 2008, 319:607-610.
8. Zhang F, Wu B F, Liu C L, et al. A method for extract regional crop growth profile with time series of NDVI Data. Journal of Remote Sensing, 2004, 8(6):515-528.
9. Xin J F, Yu Z R, Driessen P M. Monitoring phenological key stages of winter wheat with NOAA NDVI data. Journal of Remote Sensing, 2001, 6(5):442-447.
10. Fan J L, Wu B F. A methodology for retrieving cropping index from NDVI profile. Journal of Remote Sensing, 2004, 8(6):628-636.
11. Gallo K P, Flesch T K. Large-Area Crop Monitoring with the NOAA AVHRR: Estimating the Silking Stage of Corn Development. Remote Sensing of Environment, 1989, 27:73-80.
12. Jönsson P, Eklundh L. Seasonality extraction by function fitting to time-series of satellite sensor data. IEEE Transactions on Geoscience and Remote Sensing, 2002, 40:1824-1932.
13. Wang Y Y, Malingreau J P. The possibility for using NOAA-AVHRR to monitor the crops condition in Jiangsu Province. Remote Sensing of Environment China, 1990, 5(3):221-227.
14. Jiang D, Wang N B, Yang X H, et al. Principles of the interaction between NDVI profile and the growing situation of Crops. Acta Ecologica Sinica, 2002, 22(2):247-252.
15. Yan H M, Liu J Y, Cao M K, et al. Remotely Sensed Multiple Cropping Index Variations in China during 1981-2000. Acta Geographica Sinica, 2005, 60(4):559-566.
16. Zhu XL, Li Q, Shen M G, et al. A methodology for multiple cropping index extraction based on NDVI time-series. Journal of Natural Resources, 2008, 23(3):534-544.
17. Zhang M W. Zhou Q B, Chen Z X, et al. Crop discrimination in Northern China with double cropping systems using Fourier analysis of time-series MODIS data. International Journal of Applied Earth Observation and Geoinformation, 2008, 10(4):476-485.
18. Ren J Q, Chen Z X, Tang H J, et al. Regional yield estimation for winter wheat based on net primary production model. Transactions of the Chinese Society of Agricultural Engineering, 2006, 22(5):111-117.
19. Liu J Y, Liu M L, Zhuang D F, et al. A primary study on spatial pattern of land-use change in China during 1995-2000. Science in China (Series D), 2002, 32(12):1031-1040.
20. Holben B. Characteristics of Maximum Value Composite Images from Temporal AVHRR Data. International Journal of Remote Sensing, 1986, 7(11):1417-1434.
21. Gutman G G.. Vegetation indices from AVHRR: An update and future prospects. Remote Sensing of Environment, 1991, 35:121-136.
22. Tanré D, Holben B N, Kaufman Y J. Atmospheric correction algorithm for NOAA AVHRR products: Theory and application. IEEE Transactions on Geoscience and Remote Sensing, 1992, 30:231-248.
23. Prince S D, Goward S N. Evaluation of the NOAA/NASA Pathfinder AVHRR Land data set for global primary production modeling. International Journal of Remote Sensing, 1996, 17:217-221.
24. Simpson J J, Stitt J R. A procedure for the detection and removal of cloud shadow from AVHRR data over land. IEEE Transactions on Geoscience and Remote Sensing, 1998, 36:880-897.
25. Jönsson Per, Eklundh L. TIMESAT-a program for analyzing time-series of satellite sensor data. Computers & Geosciences, 2004, 30:833-845.
26. Beck PSA, Atzberger C, Hogda K A, et al. Improved monitoring of vegetation dynamics at very high latitudes: a new method using MODIS NDVI. Remote Sensing of Environment, 2006, 100:321-334.
27. Yan H M, Cao M K, Liu J Y, et al. Detecting spatial patterns of crop rotation system from multi-temporal remote sensing images. Transactions of the Chinese Society of Agricultural Engineering, 2005, 21(4):85-90.