DOI: 10.5194/hess-19-4441-2015
Scopus记录号: 2-s2.0-84946601418
论文题名: SACRA-a method for the estimation of global high-resolution crop calendars from a satellite-sensed NDVI
作者: Kotsuki S ; , Tanaka K
刊名: Hydrology and Earth System Sciences
ISSN: 10275606
出版年: 2015
卷: 19, 期: 11 起始页码: 4441
结束页码: 4461
语种: 英语
Scopus关键词: Agriculture
; Cultivation
; Disasters
; Forestry
; Satellites
; Surveys
; Time series
; Vegetation
; Biomass productions
; Crop type classification
; Cultivation periods
; Future improvements
; Normalized difference vegetation index datum
; Numerical estimation
; Spatial resolution
; Supply-demand relationships
; Crops
; biomass allocation
; cotton
; data set
; future prospect
; harvesting
; irrigation system
; maize
; NDVI
; rice
; satellite data
; sensor
; sowing date
; spatial resolution
; water use
; wheat
; Glycine max
; Gossypium hirsutum
; Triticum aestivum
; Zea mays
英文摘要: To date, many studies have performed numerical estimations of biomass production and agricultural water demand to understand the present and future supply-demand relationship. A crop calendar (CC), which defines the date or month when farmers sow and harvest crops, is an essential input for the numerical estimations. This study aims to present a new global data set, the SAtellite-derived CRop calendar for Agricultural simulations (SACRA), and to discuss advantages and disadvantages compared to existing census-based and model-derived products. We estimate global CC at a spatial resolution of 5 arcmin using satellite-sensed normalized difference vegetation index (NDVI) data, which corresponds to vegetation vitality and senescence on the land surface. Using the time series of the NDVI averaged from three consecutive years (2004-2006), sowing/harvesting dates are estimated for six crops (temperate-wheat, snow-wheat, maize, rice, soybean and cotton). We assume time series of the NDVI represent the phenology of one dominant crop and estimate CCs of the dominant crop in each grid. The dominant crops are determined using harvested areas based on census-based data. The cultivation period of SACRA is identified from the time series of the NDVI; therefore, SACRA considers current effects of human decisions and natural disasters. The difference between the estimated sowing dates and other existing products is less than 2 months (< 62 days) in most of the areas. A major disadvantage of our method is that the mixture of several crops in a grid is not considered in SACRA. The assumption of one dominant crop in each grid is a major source of discrepancy in crop calendars between SACRA and other products. The disadvantages of our approach may be reduced with future improvements based on finer satellite sensors and crop-type classification studies to consider several dominant crops in each grid. The comparison of the CC also demonstrates that identification of wheat type (sowing in spring or fall) is a major source of error in global CC estimations. © 2015 Author(s). Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/78391
Appears in Collections: 气候变化事实与影响
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作者单位: RIKEN, Advanced Institute for Computational Science, Kobe, Japan; Disaster Prevention Research Institute, Kyoto University, Kyoto, Japan
Recommended Citation:
Kotsuki S,, Tanaka K. SACRA-a method for the estimation of global high-resolution crop calendars from a satellite-sensed NDVI[J]. Hydrology and Earth System Sciences,2015-01-01,19(11)