globalchange  > 气候变化事实与影响
DOI: 10.1016/j.jag.2014.08.011
Scopus记录号: 2-s2.0-84920680722
论文题名:
Mapping crop phenology using NDVI time-series derived from HJ-1 A/B data
作者: Pan Z; , Huang J; , Zhou Q; , Wang L; , Cheng Y; , Zhang H; , Blackburn G; A; , Yan J; , Liu J
刊名: International Journal of Applied Earth Observation and Geoinformation
ISSN: 15698432
出版年: 2015
卷: 34, 期:1
起始页码: 188
结束页码: 197
语种: 英语
英文关键词: HJ-1 A/B ; Interpolation ; NDVI time-series ; Phenology parametersa ; S-G filter
Scopus关键词: crop ; image processing ; interpolation ; mapping ; NDVI ; phenology ; remote sensing ; satellite data ; time series ; China ; Guanzhong Plain ; Shaanxi
英文摘要: With the availability of high frequent satellite data, crop phenology could be accurately mapped using time-series remote sensing data. Vegetation index time-series data derived from AVHRR, MODIS, and SPOT-VEGETATION images usually have coarse spatial resolution. Mapping crop phenology parameters using higher spatial resolution images (e.g., Landsat TM-like) is unprecedented. Recently launched HJ-1 A/B CCD sensors boarded on China Environment Satellite provided a feasible and ideal data source for the construction of high spatio-temporal resolution vegetation index time-series. This paper presented a comprehensive method to construct NDVI time-series dataset derived from HJ-1 A/B CCD and demonstrated its application in cropland areas. The procedures of time-series data construction included image preprocessing, signal filtering, and interpolation for daily NDVI images then the NDVI time-series could present a smooth and complete phenological cycle. To demonstrate its application, TIMESAT program was employed to extract phenology parameters of crop lands located in Guanzhong Plain, China. The small-scale test showed that the crop season start/end derived from HJ-1 A/B NDVI time-series was comparable with local agro-metrological observation. The methodology for reconstructing time-series remote sensing data had been proved feasible, though forgoing researches will improve this a lot in mapping crop phenology. Last but not least, further studies should be focused on field-data collection, smoothing method and phenology definitions using time-series remote sensing data. © 2014 Elsevier B.V.
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/79572
Appears in Collections:气候变化事实与影响

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作者单位: Institute of Applied Remote Sensing and oInformation Technology, Zhejiang University, Hangzhou, China; Key Laboratory of Environmental Remediation and Ecological Health, Ministry of Education, College of Natural Resources and Environmental Science,Zhejiang University, Hangzhou, China; Key Laboratory of Agricultural Remote Sensing and Information System, Zhejiang Province, Hangzhou, China; Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences/Key Laboratory of Resources Remote Sensing, Digital Agriculture, Ministry of Agriculture, Beijing, China; Geospatial Science Center of Excellence (GSCE), South Dakota State University, Brookings, SD, United States; Lancaster Environment Centre, Lancaster University, Lancaster, United Kingdom; Hubei Meteorological Information and Technology Support Center, Wuhan, China; College of Urban and Environmental Science, Northwest University, Xi'an, China

Recommended Citation:
Pan Z,, Huang J,, Zhou Q,et al. Mapping crop phenology using NDVI time-series derived from HJ-1 A/B data[J]. International Journal of Applied Earth Observation and Geoinformation,2015-01-01,34(1)
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