基于遙感數(shù)據(jù)的江蘇省水稻收獲期時空分析研究

doi:10.12306/2022jms.0018

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基于遙感數(shù)據(jù)的江蘇省水稻收獲期時空分析研究
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                        10.12306/2022jms.0018
                    
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中圖分類號:P49
基金項目:國家重點研發(fā)計劃資助項目(2019YFB2102003); 國家自然科學(xué)基金青年科學(xué)基金資助項目(41805049); 江蘇省研究生科研創(chuàng)新資助計劃(KYCX21_0979)

Spatial and temporal analysis of rice harvesting period in Jiangsu Province based on remote sensing data

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摘要:

本研究基于2001—2020年中分辨率成像光譜儀遙感產(chǎn)品,使用諧波分析重建完整作物生長過程植被指數(shù)變化曲線,對江蘇省范圍內(nèi)水稻種植區(qū)域的收獲期進行提取。同時利用Sen趨勢分析與相關(guān)分析方法,研究水稻收獲期時空動態(tài)變化趨勢與影響因子。結(jié)果表明:利用諧波分析方法能夠較好地重建作物生長期生理參數(shù)變化曲線,濾波值與原始值線性相關(guān)系數(shù)達到0.8;水稻收獲期分布在9月中旬到12月上旬之間,2010年之后,10月中下旬之后占比增加,達到50%以上;部分地區(qū)水稻收獲期呈現(xiàn)延遲趨勢,南京北部、揚州、鹽城北部地區(qū)為3 d·a^-1及以上,泰州、南通等地區(qū)保持穩(wěn)定,趨勢絕對值低于1 d·a^-1;9—11月降水日數(shù)與降水量均對水稻收獲期有影響,10月降水量與收獲期存在負相關(guān),10、11月降水日數(shù)與收獲期存在正相關(guān)。本研究的基于遙感的水稻收獲期提取方法為大范圍的水稻農(nóng)業(yè)物候信息提取提供參考。

Abstract:

Based on MODIS remote sensing products from 2001 to 2020, a complete crop growth process vegetation index change curve was reconstructed by using harmonic analysis to extract the harvest period of rice-growing areas within Jiangsu Province. By using the Sen trend analysis and correlation analysis methods, the spatial and temporal dynamics of the rice harvesting period were studied in terms of trends and influencing factors. Results show that the harmonic analysis method is able to reconstruct the change curves of physiological parameters of the crop during the growing period, and the filtered values reach a linear correlation of 0.8. The rice harvesting period is distributed between mid-September and early December, and after 2010, moreover, the proportion increases after mid-to-late October, reaching more than 50%. The rice harvest period in some areas shows a delayed trend, with 3 days/year and more in northern Nanjing, Yangzhou, and northern Yancheng, but remaining stable in Taizhou and Nantong, where the absolute value of the trend is less than 1 day/year. Both the precipitation days and the precipitation amount from September to November affects the rice harvest period, with a negative correlation between precipitation and harvest period in October and a positive correlation between precipitation days and harvest period in October and November. The findings of the study can provide support for the extraction and analysis of agrometeorological information on rice on a large scale.

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朱曉晨,李強宇,曾燕,董恒鑫,祝嗣嫄.基于遙感數(shù)據(jù)的江蘇省水稻收獲期時空分析研究.氣象科學(xué),2023,43(4):534-542 ZHU Xiaochen, LI Qiangyu, ZENG Yan, DONG Hengxin, ZHU Siyuan. Spatial and temporal analysis of rice harvesting period in Jiangsu Province based on remote sensing data. Journal of the Meteorological Sciences,2023,43(4):534-542

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收稿日期:2021-11-08
最后修改日期:2022-04-12
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在線發(fā)布日期: 2024-01-23
出版日期: 2023-08-15

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