DOI: 10.1016/j.jag.2017.03.010
Scopus记录号: 2-s2.0-85030830352
论文题名: Spatial methods for deriving crop rotation history
作者: Mueller-Warrant G ; W ; , Trippe K ; M ; , Whittaker G ; W ; , Anderson N ; P ; , Sullivan C ; S
刊名: International Journal of Applied Earth Observation and Geoinformation
ISSN: 15698432
出版年: 2017
卷: 60 起始页码: 22
结束页码: 37
语种: 英语
英文关键词: Crop rotation
; Following crop
; Pre-crop
Scopus关键词: crop rotation
; cropping practice
; historical perspective
; remote sensing
; spatial analysis
; spatial data
; Oregon
; United States
英文摘要: Benefits of converting 11 years of remote sensing classification data into cropping history of agricultural fields included measuring lengths of rotation cycles and identifying specific sequences of intervening crops grown between final years of old grass seed stands and establishment of new ones. Spatial and non-spatial methods were complementary. Individual-year classification errors were often correctable in spreadsheet-based non-spatial analysis, whereas their presence in spatial data generally led to exclusion of fields from further analysis. Markov-model testing of non-spatial data revealed that year-to-year cropping sequences did not match average frequencies for transitions among crops grown in western Oregon, implying that rotations into new grass seed stands were influenced by growers’ desires to achieve specific objectives. Moran's I spatial analysis of length of time between consecutive grass seed stands revealed that clustering of fields was relatively uncommon, with high and low value clusters only accounting for 7.1 and 6.2% of fields. © 2017 Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/80010
Appears in Collections: 气候变化事实与影响
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作者单位: Agricultural Research Service, United States Department of Agriculture, National Forage Seed Production Research Center, 3450 SW Campus Way, Corvallis, OR, United States; Crop and Soil Science Department, Oregon State University, Corvallis, OR, United States
Recommended Citation:
Mueller-Warrant G,W,, Trippe K,et al. Spatial methods for deriving crop rotation history[J]. International Journal of Applied Earth Observation and Geoinformation,2017-01-01,60