作者: Jianxiu Shen , Alfredo Huete , Ngoc Nguyen Tran , Rakhesh Devadas , Xuanlong Ma
DOI: 10.1016/J.AGEE.2017.11.023
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摘要: Abstract The rainfed cropland belt in Australia is of great importance to the world grain market but has highest climate variability all such regions globally. However, spatial-temporal impacts on crops during different crop growth stages across broadacre farming systems are largely unknown. This study aims quantify contributions and Land Surface Temperature (LST) variations Enhanced Vegetation Index (EVI) by using remote sensing methods. datasets were analyzed at an 8-day time-scale eastern Australia. First, we found that EVI values more variable reproductive than any other life stage within a calendar year, nevertheless had correlation with yield (t ha−1). Second, factors LST showed largest followed typical east-west gradient rainfall north-south temperature area growing season. Last, identified two critical periods, beginning day year (DoY) 257 289, as key ‘windows’ variation arose from LST. Our results show sum components these explained >88% EVI, being dominant factor. offers fresh understanding climate-crop relationships can serve early warning system for agricultural adaptation cropping practices worldwide.