Acta Agronomica Sinica ›› 2024, Vol. 50 ›› Issue (3): 721-733.doi: 10.3724/SP.J.1006.2024.31036
• TILLAGE & CULTIVATION·PHYSIOLOGY & BIOCHEMISTRY • Previous Articles Next Articles
ZHAO Rong-Rong2(), CONG Nan1,*(), ZHAO Chuang2
[1] | 赵彦茜, 肖登攀, 柏会子, 唐建昭. 华北平原冬小麦和夏玉米气候适宜性. 生态学杂志, 2020, 39: 2251-2262. |
Zhao Y X, Xiao D P, Bai H Z, Tang J Z. Climatic suitability of winter wheat and summer maize in the North China Plain. Chin J Ecol, 2020, 39: 2251-2262 (in Chinese with English abstract). | |
[2] | 中华人民共和国国家统计局. 中国统计年鉴. 北京: 中国统计出版社, 2021. |
National Bureau of Statistics, P R China. China Statistics Yearbook. Beijing: China Statistics Press, 2021 (in Chinese). | |
[3] | 张有智, 吴黎, 解文欢, 李岩. 农作物遥感监测与评价. 哈尔滨: 哈尔滨工程大学出版社, 2017. p 4. |
Zhang Y Z, Wu L, Xie W H, Li Y. Crop Remote Sensing Monitoring and Evaluation. Harbin: Harbin Engineering University Press, 2021. p 4. (in Chinese). | |
[4] | 赵英时. 遥感应用分析原理与方法. 北京: 科学出版社, 2003. pp 3-7. |
Zhao Y S. The Principle and Method of Analysis of Remote Sensing Application. Beijing: Science Press, 2003. pp 3-7 (in Chinese). | |
[5] |
Fan C, Lu R. UAV image crop classification based on deep learning with spatial and spectral features. IOP Conf Ser: Earth Environ Sci, 2021, 783: 012080.
doi: 10.1088/1755-1315/783/1/012080 |
[6] |
Xie Y, Sha Z, Yu M. Remote sensing imagery in vegetation mapping: a review. J Plant Ecol, 2008, 1: 9-23.
doi: 10.1093/jpe/rtm005 |
[7] |
Gates D M, Keegan H J, Schleter J C, Weidner V R. Spectral properties of plants. Appl Opt, 1965, 4: 11-20.
doi: 10.1364/AO.4.000011 |
[8] | Swaminathan V, Thomasson J A, Rajan N, Hardin R G, Pokhrel P. Early estimation of nitrogen stress and uptake in cotton based on spectral and morphological features extracted from UAV multispectral images. In: Proceedings of the SPIE, Vol. 12114: Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping VII, Orlando, Florida, United States, 2022. pp 186-194. |
[9] | 洪志刚, 丛楠, 阎利, 唐新明. 不同时相遥感影像的土地利用分类精度分析. 测绘科学, 2012, 37(1): 112-114. |
Hong Z G, Cong N, Yan L, Tang X M. Analysis on classified precision of land use using remote sensing images in different temporal. Sci Surv Map, 2012, 37(1): 112-114 (in Chinese with English abstract). | |
[10] | Wei M, Wang H, Zhang Y, Li Q, Du X, Shi G, Ren Y. Investigating the potential of crop discrimination in early growing stage of change analysis in remote sensing crop profiles. Remot Sens, 2023, 15: 853. |
[11] | 千怀遂. 农作物遥感估产最佳时相的选择研究-以中国主要粮食作物为例. 生态学报, 1998, 1: 50-57. |
Qian H S. Selection of the optimum temporal for crop estimation using remote sensing data-main food crops in China. Acta Ecol Sin, 1998, 1: 50-57 (in Chinese with English abstract). | |
[12] | 邢东兴, 焦俏, 王明军, 封建民, 车自立, 张文帅. 石榴树遥感辨识的最佳时相与方法. 果树学报, 2020, 37: 431-440. |
Xing D X, Jiao Q, Wang M J, Feng J M, Che Z L, Zhang W S. The best phase and optimal identification method for identifying pomegranate trees. J Fruit Sci, 2020, 37: 431-440 (in Chinese with English abstract). | |
[13] | 齐腊, 刘良云, 赵春江, 王纪华, 王锦地. 基于遥感影像时间序列的冬小麦种植监测最佳时相选择研究. 遥感技术与应用, 2008, 23: 154-160. |
Qi L, Liu L Y, Zhao C J, Wang J H, Wang J D. Selection of optimum periods for extracting winter wheat based on multi-temporal remote sensing images. Remote Sens Technol Appl, 2008, 23: 154-160 (in Chinese with English abstract). | |
[14] | 刘勇洪, 牛铮, 王长耀. 基于MODIS数据的决策树分类方法研究与应用. 遥感学报, 2005, 9: 405-412. |
Liu Y H, Niu Z, Wang C Y. Research and application of the decision tree classification using MODIS data. J Remote Sens, 2005, 9: 405-412 (in Chinese with English abstract). | |
[15] | 王凯, 赵军, 朱国锋, 张佩云, 刘江涛, 陈栋栋. 基于GF-1遥感数据决策树与混合像元分解模型的冬小麦种植面积早期估算. 遥感技术与应用, 2018, 33: 158-167. |
Wang K, Zhao J, Zhu G F, Zhang P Y, Liu J T, Chen D D. Early estimation of winter wheat planting area in Qingyang City by decision tree and pixel unmixing methods based on GF-1 satellite data. Remote Sens Technol Appl, 2018, 33: 158-167 (in Chinese with English abstract). | |
[16] | 黄健熙, 贾世灵, 武洪峰, 苏伟. 基于GF-1 WFV影像的作物面积提取方法研究. 农业机械学报, 2015, 46(增刊1): 253-259. |
Huang X, Jia S L, Wu H F, Su W. Extraction method of crop planted area based on GF-1 WFV image. Trans CSAM, 2015, 46(S1): 253-259 (in Chinese with English abstract). | |
[17] | 马丽, 徐新刚, 刘良云, 黄文江, 贾建华, 程一沛. 基于多时相NDVI及特征波段的作物分类研究. 遥感技术与应用, 2008, 23: 520-524. |
Ma L, Xu X G, Liu L Y, Huang W J, Jia J H, Cheng Y P. Study on crops classification based on multi-temporal NDVI and characteristic bands. Remote Sens Technol Appl, 2008, 23: 520-524 (in Chinese with English abstract). | |
[18] | 李亚妮, 曹建君, 杨树文, 李霞, 刘尚钦. 基于决策树的大尺度复杂地区夏收作物遥感提取与分析. 江苏农业学报, 2022, 38: 1257-1264. |
Li Y N, Cao J J, Yang S W, Li X, Liu S Q. Extraction and analysis of summer crops in large-scale complex areas based on decision tree. Jiangsu J Agric Sci, 2022, 38: 1257-1264 (in Chinese with English abstract). | |
[19] |
Xie Y, Huang J. Integration of a crop growth model and deep learning methods to improve satellite-based yield estimation of winter wheat in Henan province, China. Remote Sens, 2021, 13: 4372.
doi: 10.3390/rs13214372 |
[20] | 叶盛嘉, 郑晨萌, 张影, 刘星. 氮肥减量配施有机肥对豫中地区冬小麦-夏玉米轮作生产力和土壤性质的影响. 中国生态农业学报, 2022, 30: 900-912. |
Ye S J, Zheng C M, Zhang Y, Liu X. Effects of reduced chemical nitrogen input combined with organic fertilizer application on the productivity of winter wheat and summer maize rotation and soil properties in central Henan province. Chin J Eco-Agric, 2022, 30: 900-912 (in Chinese with English abstract). | |
[21] |
闫岩, 张钰石, 刘础荣, 任丹阳, 刘洪润. 刘雪睛, 张明才, 李召虎. 冬小麦-夏玉米轮作“双晚”种植模式下的品种匹配与资源效率. 作物学报, 2022, 48: 423-436.
doi: 10.3724/SP.J.1006.2022.11017 |
Yan Y, Zhang Y S, Liu C R, Ren D Y, Liu H R, Liu X Q, Zhang M C, Li Z H. Variety matching and resource use efficiency of the winter wheat-summer maize “double late” cropping system. Acta Agron Sin, 2022, 48: 423-436 (in Chinese with English abstract).
doi: 10.3724/SP.J.1006.2022.11017 |
|
[22] | 王璇. 基于MODIS时间序列的河南主要农作物种植信息提取. 河南大学硕士学位论文, 河南开封, 2019. |
Wang X. Information Extraction of Main Crops in Henan Based on MODIS Time Series. MS Thesis of Henan University, Kaifeng, Henan, China, 2019 (in Chinese with English abstract). | |
[23] |
周宝元, 王志敏, 岳阳, 马玮, 赵明. 冬小麦-夏玉米与双季玉米种植模式产量及光温资源利用特征比较. 作物学报, 2015, 41: 1393-1405.
doi: 10.3724/SP.J.1006.2015.01393 |
Zhou B Y, Wang Z M, Yue Y, Ma W, Zhao M. Comparison of yield and light-temperature resource use efficiency between wheat-maize and maize-maize cropping systems. Acta Agron Sin, 2015, 41: 1393-1405 (in Chinese with English abstract).
doi: 10.3724/SP.J.1006.2015.01393 |
|
[24] | 河南省统计局. 河南统计年鉴. 北京: 中国统计出版社, 2022. |
Henan Provincial Bureau of Statistics. Henan Statistical Yearbook. Beijing: China Statistics Press, 2022 (in Chinese). | |
[25] | 温素馨, 韦玉春, 汪美会. TM遥感图像FLAASH大气校正异常值的改正. 测绘科学, 2017, 42(7): 165-171. |
Wen S X, Wei Y C, Wang M H. Improvement of outlier in TM image after FLAASH atmospheric correction. Sci Surv Map, 2017, 42(7): 165-171 (in Chinese with English abstract). | |
[26] |
She L, Mei L, Xue Y, Che Y, Guang J. SAHARA: A simplified atmospheric correction algorithm for Chinese GaoFen data: 1. Aerosol algorithm. Remote Sens, 2017, 9: 253.
doi: 10.3390/rs9030253 |
[27] |
Yang H, Zhang L, Ong C, Rodger A, Liu J, Sun X, Zhang H M, Jian X, Tong Q X. Improved aerosol optical thickness, columnar water vapor, and surface reflectance retrieval from combined CASI and SASI airborne hyperspectral sensors. Remote Sens, 2017, 9: 217.
doi: 10.3390/rs9030217 |
[28] | 曹洪弟, 洪友堂, 张伟, 田渊. 基于ENVI的遥感图像决策树分类. 北京测绘, 2017, 31(2): 67-71. |
Cao H D, Hong Y T, Zhang W, Tian Y. Decision tree classification of remote sensing images based on ENVI. Beijing Surv Map, 2017, 31(2): 67-71 (in Chinese with English abstract). | |
[29] |
Fei H, Fan Z, Wang C, Zhang N, Wang T, Chen R, Bai T. Cotton classification method at the county scale based on multi-features and random forest feature selection algorithm and classifier. Remote Sens, 2022, 14: 829.
doi: 10.3390/rs14040829 |
[30] | Pettorelli N. The Normalized Difference Vegetation Index. Oxford: Oxford University Press, 2013. pp 18-29. |
[31] | Petropoulos G P, Kalaitzidisz C. Multispectral vegetation indices in remote sensing: an overview. Ecol Model, 2012, 2: 15-39. |
[32] | 陈华丽, 陈植华, 丁国平. 用基于知识的决策树方法分层提取矿区土地类型——以湖北大冶为例. 国土资源遥感, 2004, 16(3): 49-53. |
Chen H L, Chen Z H, Ding G P. The application of the knowledge-based decision tree classification method to the extraction of land types in mining areas: a case study of date area Hubei province. Remote Sens Land Res, 2004, 16(3): 49-53 (in Chinese with English abstract). | |
[33] | 崔林丽. 遥感影像解译特征的综合分析与评价. 中国科学院遥感应用研究所博士学位论文, 北京, 2005. |
Cui L L. Integrative Analysis and Evaluation of the Interpretation Features in Remote Sensing Image. PhD Dissertation of Institute of Remote Sensing Applications Chinese Academy of Sciences, Beijing, China, 2005 (in Chinese with English abstract). | |
[34] |
Zhou H, Fu L, Sharma R P, Lei Y, Guo J. A hybrid approach of combining random forest with texture analysis and vdvi for desert vegetation mapping based on UAV RGB data. Remote Sens, 2021, 13: 1891.
doi: 10.3390/rs13101891 |
[35] |
Sari I L, Weston C J, Newnham G J, Volkova L. Assessing accuracy of land cover change maps derived from automated digital processing and visual interpretation in tropical forests in Indonesia. Remote Sens, 2021, 13: 1446.
doi: 10.3390/rs13081446 |
[36] | Congalton R G, Green K. Assessing the Accuracy of Remotely Sensed Data:Principles and Practices. New York: CRC Press, 2019. pp 127-130. |
[37] |
Stehman S V, Foody G M. Key issues in rigorous accuracy assessment of land cover products. Remote Sens Environ, 2019, 231: 111199.
doi: 10.1016/j.rse.2019.05.018 |
[38] | 杨可明. 遥感原理与应用. 徐州: 中国矿业大学出版社, 2016. pp 231-234. |
Yang K M. Remote Sensing Principle and Applications. Xuzhou: China University of Mining and Technology Press, 2016. pp 231-234 (in Chinese). | |
[39] | 刘良云, 张兵, 张立福. 植被高光谱遥感. 武汉: 湖北科学技术出版社, 2021. pp 31-33. |
Liu L Y, Zhang B, Zhang L F. Hyperspectral Remote Sensing of Vegetation. Wuhan: Hubei Science and Technology Press, 2021. pp 31-33 (in Chinese). | |
[40] | 林培. 农业遥感. 北京: 北京农业大学出版社, 1990. pp 18-19. |
Lin P. Agricultural Remote Sensing. Beijing: Beijing Agricultural University Press, 1990. pp 18-19 (in Chinese). | |
[41] | Xue J R, Su B F. Significant remote sensing vegetation indices: a review of developments and applications. Sensors, 2017: 1353691. |
[42] | 张俊华, 张佳宝. 夏玉米光谱特征对其不同色素含量的响应差异. 西北农业学报, 2010, 19(4): 70-76. |
Zhang J H, Zhang J B. Response of the spectral reflectance to different pigments of summer maize. Acta Agric Boreali-occident Sin, 2010, 19(4): 70-76 (in Chinese with English abstract). | |
[43] | 张俊华, 张佳宝, 贾科利. 不同品种夏玉米光谱特征差异及其与农学参量相关性研究. 土壤通报, 2010, 41: 287-293. |
Zhang J H, Zhang J B, Jia K L. Differences of spectral reflectance, and correlation between reflectance and agronomical parameters in different cultivars of summer maize. Chin J Soil Sci, 2010, 41: 287-293 (in Chinese with English abstract). | |
[44] |
Cui B, Zhao Q, Huang W, Song X, Ye H, Zhou X. A new integrated vegetation index for the estimation of winter wheat leaf chlorophyll content. Remote Sens, 2019, 11: 974.
doi: 10.3390/rs11080974 |
[45] |
Liu L Y, Huang W J, Pu R L, Wang J H. Detection of internal leaf structure deterioration using a new spectral ratio index in the near-infrared shoulder region. J Integr Agric, 2014, 13: 760-769.
doi: 10.1016/S2095-3119(13)60385-8 |
[46] | 张宏名, 卢志光, 金钟辉, 王家圣, 曹大征. 农田小麦状况的光谱特征分析. 遥感技术与应用, 1991, 6(4): 16-23. |
Zhang H M, Lu Z G, Jin Z H, Wang J S, Cao D Z. The Spectral character analyses for state of wheat in field. Remote Sens Technol Appl, 1991, 6(4): 16-23 (in Chinese with English abstract). | |
[47] | Daughtry C S T, Walthall C L, Kim M S, De Colstoun E B, McMurtrey III J E. Estimating corn leaf chlorophyll concentration from leaf and canopy reflectance. Remote Sens, 2000, 74: 229-239. |
[48] | 李树岩, 彭记永, 刘荣花. 基于气候适宜度的河南夏玉米发育期预报模型. 中国农业气象, 2013, 34: 576-581. |
Li S Y, Peng J Y, Liu R H. Prediction model of summer maize developmental stages based on climatic suitability in Henan Province. Chin J Agrometeorol, 2013, 34: 576-581 (in Chinese with English abstract).
doi: 10.3969/j.issn.1000-6362.2013.05.012 |
|
[49] | 河南省人民政府门户网站, https://www.henan.gov.cn/2020/10-28/1872654.html. |
The People’s Government of Henan Province, https://www.henan.gov.cn/2020/10-28/1872654.html (in Chinese). | |
[50] | 鄢陵县人民政府. 鄢陵年鉴. 宁夏: 黄河数字出版社, 2022. p 48. |
The People’s Government of Yanling County. Yanling Yearbook. Ningxia: Yellow River Digital Press, 2022. p 48 (in Chinese). | |
[51] | 余卫东, 陈怀亮. 河南省夏玉米精细化农业气候区划研究. 气象与环境科学, 2010, 33(2): 14-19. |
Yu W D, Chen H L. Study on precise comprehensive agricultural climate regional planning of summer maize in Henan Province. Meteor Environ Sci, 2010, 33(2): 14-19 (in Chinese with English abstract). | |
[52] | 王淑芬, 张喜英, 裴冬. 不同供水条件对冬小麦根系分布、产量及水分利用效率的影响. 农业工程学报, 2006, 22(2): 27-32. |
Wang S F, Zhang X Y, Pei D. Impacts of different water supplied conditions on root distribution, yield and water utilization efficiency of winter wheat. Trans CSAE, 2006, 22(2): 27-32 (in Chinese with English abstract). | |
[53] |
张金鑫, 葛均筑, 马玮, 丁在松, 王新兵, 李从锋, 周宝元. 华北平原冬小麦-夏玉米种植体系周年水分高效利用研究进展. 作物学报, 2023, 49: 879-892.
doi: 10.3724/SP.J.1006.2023.21034 |
Zhang J X, Ge J Z, Ma W, Ding Z S, Wang X B, Li C F, Zhou B H. Research advance on annual water use efficiency of winter wheat-summer maize cropping system in North China Plain. Acta Agron Sin, 2023, 49: 879-892 (in Chinese with English abstract). | |
[54] | 河南省农业厅. 农业生产概论. 郑州: 河南科学技术出版社, 1982. p 95. |
Agriculture Department of Henan Province. Introduction to agricultural production. Zhengzhou: Henan Science and Technology Press, 1982. p 95 (in Chinese). | |
[55] |
Meng Q, Sun Q, Chen X, Cui Z, Yue S, Zhang F, Römheld V. Alternative cropping systems for sustainable water and nitrogen use in the North China Plain. Agric Ecosyst Environ, 2012, 146: 93-102.
doi: 10.1016/j.agee.2011.10.015 |
[56] | 邓荣鑫, 王文娟, 魏义长, 张富, 李春静, 刘文玉. 河南省冬小麦种植面积遥感监测及其时空特征研究. 灌溉排水学报, 2019, 38(9): 49-54. |
Deng R X, Wang W J, Wei Y C, Zhang F, Li C J, Liu W Y. Remote estimation of winter wheat area and its spatio-temporal characteristics in Henan Province. J Irrig Drain, 2019, 38(9): 49-54 (in Chinese with English abstract). | |
[57] | 邵长秀, 徐欣莹, 覃文阮, 龙步菊, 董宛麟, 孙志刚. 华北平原青贮-籽粒玉米双季弹性种植模式的水热资源利用效率分析. 中国农业气象, 2023, 44(3): 206-218. |
Shao C X, Xu X Y, Qin W W, Long B J, Dong W L, Sun Z G. Analysis of water and heat resource utilization efficiency in silage-grain maize double season flexible planting pattern in North China Plain. Chin J Agrometeorol, 2023, 44(3): 206-218 (in Chinese with English abstract). | |
[58] | 孙丹峰. 土地利用/覆被遥感分析. 北京: 中国大地出版社, 2006. p 9. |
Sun D F. Remote Sensing Analysis of Land Use/Cover. Beijing: China Land Press, 2006. p 9. (in Chinese). |
[1] | ZHANG Jin-Xin, GE Jun-Zhu, MA Wei, DING Zai-Song, WANG Xin-Bing, LI Cong-Feng, ZHOU Bao-Yuan, ZHAO Ming. Research advance on annual water use efficiency of winter wheat-summer maize cropping system in North China Plain [J]. Acta Agronomica Sinica, 2023, 49(4): 879-892. |
[2] | SANG Guo-Qing, TANG Zhi-Guang, MAO Ke-Biao, DENG Gang, WANG Jing-Wen, LI Jia. High-resolution paddy rice mapping using Sentinel data based on GEE platform: a case study of Hunan province, China [J]. Acta Agronomica Sinica, 2022, 48(9): 2409-2420. |
[3] | ZHOU Bao-Yuan, GE Jun-Zhu, SUN Xue-Fang, HAN Yu-Ling, MA Wei, DING Zai-Song, LI Cong-Feng, ZHAO Ming. Research advance on optimizing annual distribution of solar and heat resources for double cropping system in the Yellow-Huaihe-Haihe Rivers plain [J]. Acta Agronomica Sinica, 2021, 47(10): 1843-1853. |
[4] | ZHOU Bao-Yuan,MA Wei,SUN Xue-Fang,DING Zai-Song,LI Cong-Feng,ZHAO Ming. Characteristics of annual climate resource distribution and utilization in high-yielding winter wheat-summer maize double cropping system [J]. Acta Agronomica Sinica, 2019, 45(4): 589-600. |
[5] | WU Guang-Lei,ZENG Yan,GUO Li-Yue,CUI Zheng-Yong,LI Yong,YIN Yan-Ping,WANG Zhen-Lin,JIANG Gao-Ming. Effects of Nitrogen Management in Wheat Season on Matter Production and Nitrogen Use Efficiency in Winter Wheat–Summer Maize Rotation System [J]. Acta Agron Sin, 2012, 38(11): 2100-2107. |
|