Satellite observed crop calendar and its spatio-temporal characteristics in multiple cropping area of Huang-Huai-Hai plain

Shengtai Xuebao/ Acta Ecologica Sinica

Volumn 30, Issue 9, 2010, Pages 2416-2423

  Yan, Huimin ^a   Xiao, Xiangming ^b   Huang, Heqing ^a  

^a INSTITUTE OF GEOGRAPHIC SCIENCES AND NATURAL RESOURCES RESEARCH   (China)

^b UNIVERSITY OF OKLAHOMA   (United States)

Author keywords

Crop calendar; EVI; Huang Huai Hai Plain; LSWI; MODIS; Multiple cropping; Remote sensing

Indexed keywords

AGRICULTURAL PRODUCTION; AGROMETEOROLOGY; ARABLE LAND; CARBON CYCLE; CROP ROTATION; DATA SET; DOUBLE CROPPING; ENVIRONMENTAL MONITORING; IN SITU MEASUREMENT; LAND USE; MAIZE; MODIS; PHENOLOGY; SATELLITE IMAGERY; SEASONAL VARIATION; SPATIOTEMPORAL ANALYSIS; WHEAT;

CHINA; NORTH CHINA PLAIN;

TRITICUM AESTIVUM; ZEA MAYS;

EID: 79952670920     PISSN: 10000933     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (26)

1. Boucher O, Myhre G, Myhre A, Direct human influence of irrigation on atmospheric water vapour and climate. Climate Dynamics, 2004, 22: 597-603.
2. Lal R, World crop residues production and implications of its use as a biofuel. Environment International, 2005, 31: 575-584.
3. Ogle S M, Paustian K, Breidt F J, Agricultural management impacts on soil organic carbon storage under moist and dry climatic conditions of temperate and tropical regions. Biogeochemistry, 2005, 72: 87-121.
4. 2 increase and climate change during the last 150 years. Global Change Biology, 2004, 10: 1-14.
5. Levy P E, Friend A D, White A, Cannell MGR. The influence of land use change on global-scale fluxes of carbon from terrestrial ecosystems. Climatic Change, 2004, 61: 185-209.
6. Zhang Y, Yu Q, Jiang J I E, Tang Y. Calibration of Terra/MODIS gross primary production over an irrigated cropland on the North China Plain and an alpine meadow on the Tibetan Plateau. Global Change Biology, 2008: 14, 757-767.
7. Fan J L, Wu B F. A Methodology for Retrieving Cropping Index from NDVI Profile, Journal of Remote Sensing, 2004, 8 (6): 628-636.
8. Yan H M, Cao M K, Liu J Y, Zhuang D F, Guo J K, Liu M L. 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.
9. Yan H M, Liu J Y, Cao M K. Remotely Sensed Multiple Cropping Index Variations in China During 1981-2000. Acta Geographic Sinica, 2005, 60 (4): 559-566.
10. 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, 5 (6): 442-447.
11. Zhang X Y, Friedl M A, Schaaf C B. Global vegetation phenology from Moderate Resolution Imaging Spectroradiometer (MODIS): Evaluation of global patterns and comparison with in situ measurements. Journal of Geophysical Research-Biogeosciences, 2006, 111, G04017, doi: 10. 1029/2006JG000217.
12. Sakamoto T, Nguyen N V, Ohno H, Ishitsuka N, Yokozawa M. Spatio-temporal distribution of rice phenology and cropping systems in the Mekong Delta with special reference to the seasonal water flow of the Mekong and Bassac rivers. Remote Sensing of Environment, 2006, 100 (1): 1-16.
13. Yan H M, Huang H Q, Xiao X M, Jiang L G. Spatio-temporal distribution of multiple cropping systems in Poyang Lake agricultural area from satellite observation. Acta Ecologica Sinica, 2008, 28 (9): 4517-4523.
14. 2 eddy flux tower data. Agriculture, Ecosystems and Environment, 2009, 129: 391-400.
15. Xiao X M, Hollinger D, Aber J, Goltz M, Davidson E A, Zhang Q Y, Moore B. Satellite-based modeling of gross primary production in an evergreen needleleaf forest. Remote Sens. Environ., 2004, 89, 519-534.
16. Boles S, Xiao X, Liu J, Zhang Q, Munkhtuya S, Chen S, Ojima D. Land cover characterization of Temperate East Asia using multi-temporal VEGETATION sensor data. Remote Sens. Environ., 2004, 90, 477-489.
17. Zhang X Y, Friedl M A, Schaaf C B, Strahler A H, Hodges J C F, Gao F, Reed B C, Huete A. Monitoring vegetation phenology using MODIS. Remote Sensing of Environment, 2003, 84, 471-475.
18. Huete A, Didan K, Miura T, Rodrigueza E P, Gaoa X, Ferreirab L G. Overview of the radiometric and biophysical performance of the MODIS vegetation indices. Remote Sensing of Environment, 2002, 83 (1/2): 195-213.
19. Ceccato P, Flasse S, Gregoire J M. Designing a spectral index to estimate vegetation water content from remote sensing data-Part 2. Validation and applications. Remote Sens. Environ., 2002, 82, 198-207.
20. Ceccato P, Flasse S, Tarantola S, Jacquemoud S, Gregoire J M. Detecting vegetation leaf water content using reflectance in the optical domain. Remote Sens. Environ., 2001, 77, 22-33.
21. Ceccato P, Gobron N, Flasse S, Pinty B, Tarantola S. Designing a spectral index to estimate vegetation water content from remote sensing data: Part 1-Theoretical approach. Remote Sens. Environ., 2002, 82, 188-197.
22. Xiao X, Boles S, Frolking S, Salas W, Moore B, Li C, He L, Zhao R. 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, 2002, 23, 3009-3022.
23. Azzali S, Menenti M. Mapping Vegetation-soil-climate Complexes in Southern Africa Using Temporal Fourier Analysis of NOAA-AVHRR NDVI Data. International Journal of Remote Sensing, 2000, 21 (5): 973-996.
24. Roerink G J, Menenti M. Reconstructing Cloudfree NDVI Composites Using Fourier Analysis of Time Series. International Journal of Remote Sensing, 2000, 21 (9): 1911-1917.
25. Xiao X M, Boles S, Liu J Y, Zhuang D F, Frolking S, Li C S, Salas W, Moore B. Mapping paddy rice agriculture in southern China using multi-temporal MODIS images. Remote Sensing of Environment, 2005, 95 (4): 480-492.
26. Xiao X, Hagen S, Zhang Q, Keller M, Moore III B. Detecting leaf phenology of seasonally moist tropical forests in South America with multitemporal MODIS images. Remote Sensing of Environment, 2006, 103: 465-473.