Mapping the Cultivation Areas of Summer Maize Using Spatial Variations of Crop Phenology over Huanghuaihai Plain

doi:10.3969/j.issn.1000-6362.2019.10.005

Abstract

Abstract: Considering the phenological differences of maize along with latitude over a large area, the planting area of summer maize was extracted by MODIS EVI time series curve over Huanghuaihai Plain in this paper. Based on Landsat images and MOD13Q1 dataset, the MODIS EVI time series curve of summer maize was obtained in a reference area. The phenology observation data from the agro-meteorological stations were collected to build the relationship between various summer maize growth stages and latitude. The latitude was used to correct the MODIS EVI time series curve of summer maize in the reference area, and then the standard EVI time series curve of summer maize was obtained. Using the mean absolute distance (MAD) method and p-tile algorithm, the summer maize planting area was estimated in the study area. The results showed that the areas of summer maize extracted from remote sensing images in Beijing, Tianjin, Hebei, Henan and Shandong were 125.3×103, 162.6×103, 2231.8×103, 2963.6×103 and 2731.9×103ha, respectively. Meanwhile, the accuracy of extraction result in each province was above 80%. The determinant coefficient (R2) is 0.82 and the root mean square error (RMSE) is 147.8×103ha at city level, and 0.62 and 17.7×103ha at county level, respectively. It indicated that the method in present study has the ability of extracting the summer maize planting area effectively and provides a new idea for estimating the planting area of other crops in a large region.

Key words: Summer maize, Planting area extraction, Phenology difference, Multi-temporal MODIS EVI, Huanghuaihai Plain

WANG Xue-ting, ZHANG Sha, DENG Fan, ZHANG Jia-hua. Mapping the Cultivation Areas of Summer Maize Using Spatial Variations of Crop Phenology over Huanghuaihai Plain[J]. Chinese Journal of Agrometeorology, 2019, 40(10): 647-659.

References

[1]Chen S,Kung J K-S. Of maize and men:the effect of a new world crop on population and economic growth in China [J]. Journal of Economic Growth,2016,21(1): 71-99. [2]赵久然,王荣焕. 中国玉米生产发展历程?存在问题及对策[J]. 中国农业科技导报,2013,15(3): 1-6. Zhao J R,Wang R H.Development process,problem and countermeasure of maize production in China[J]. Journal of Agricultural Science and Technology,2013,15(3): 1-6. (in Chinese) [3]中华人民共和国国家统计局. 中国统计年鉴[M]. 北京: 中国统计出版社,2013. National Bureau of Statistics. China statistical yearbook [M]. Beijing: China Statistics Press,2013. (in Chinese) [4]Carr?o H,Gon?alves P,Caetano M. Contribution of multispectral and multitemporal information from MODIS images to land cover classification[J]. Remote Sensing of Environment, 2008,112(3): 986-997. [5]Mccullough I M,Loftin C S,Sader S A. High-frequency remote monitoring of large lakes with MODIS 500m imagery [J]. Remote Sensing of Environment,2012,124: 234-241. [6]张莎,张佳华,白雲,等. 基于MODIS-EVI及物候差异免阈值提取黄淮海平原冬小麦面积[J]. 农业工程学报,2018, 34(11): 150-158. Zhang S,Zhang J H,Bai Y,et al. Extracting winter wheat area in Huanghuaihai Plain using MODIS-EVIdata and phenology difference avoiding threshold[J]. Transactions of the CSAE,2018,34(11): 150-158. (in Chinese) [7]Zhang M,Zhou Q,Chen Z,et al. Crop discrimination in Northern China with double cropping systems using Fourier analysis of time-series MODIS data[J]. International Journal of Applied Earth Observation & Geoinformation,2008,10(4): 476-485. [8]郭建茂,施俊怡. 基于HJ-CCD时序数据提取镇江市水稻种植分布[J]. 中国农业气象,2014, 35(2): 228-234. Guo J M,Shi J Y. Mapping rice paddy distribution in Zhenjiang city based on Multi-temporal HJ-CCD imagery[J]. Chinese Journal of Agrometeorology,2014,35(2): 228-234. (in Chinese) [9]曹丹,景海涛,孙金珂,等. 多时相MODIS指数提取东北三省水稻种植面积[J]. 测绘科学,2018,43(7): 54-60. Cao D,Jing H T,Sun J K,et al. Extraction of rice area in Northeast China based on MODIS timing indices[J]. Science of Surveying and Mapping,2018,43(7): 54-60. (in Chinese) [10]顾晓鹤,韩立建,王纪华,等. 中低分辨率小波融合的玉米种植面积遥感估算[J]. 农业工程学报,2012,28(3): 203-209. Gu X H,Han L J,Wang J H,et al.Estimation of maize planting area based on wavelet fusion of multi-resolution images[J]. Transactions of the CSAE,2012,28(3): 203-209. (in Chinese) [11]刘剑锋,张喜旺. 基于光谱和时相特征的夏玉米遥感识别[J]. 遥感技术与应用,2016,31(6): 1131-1139. Liu J F,Zhang X W. Research on remote sensing identification method of maize based on seasonal rhythms and spectral characteristics[J]. Remote Sensing Technology and Application,2016,31(6): 1131-1139. (in Chinese) [12]郭昱杉,刘庆生,刘高焕,等. 基于MODIS时序NDVI主要农作物种植信息提取研究[J]. 自然资源学报,2017,32(10): 1808-1818. Guo Y S,Liu Q S,Liu G H,et al. Extraction of main crops in yellow river delta based on MODIS NDVI time series[J]. Journal of Natural Resources,2017,32(10): 1808-1818. (in Chinese) [13]Hou P,Liu Y,Xie R,et al. Temporal and spatial variation in accumulated temperature requirements of maize[J]. Field Crops Research,2014,158: 55-64. [14]Wang Z,Chen J,Li Y,et al. Effects of climate change and cultivar on summer maize phenology[J]. International Journal of Plant Production,2016,10(4): 509-525. [15]李秀芬,马树庆,赵慧颖,等. 基于WOFOST模型的内蒙古河套灌区玉米低温冷害评价[J]. 中国农业气象,2016,37(3): 352-360. Li X F,Ma S Q,Zhao H Y,et al. Evaluation on maize chilling injury based on WOFOST Model in Hetao irrigation region in Inner Mongol[J]. Chinese Journal of Agrometeorology, 2016,37(3): 352-360. (in Chinese) [16]刘珺,田庆久,黄彦,等. 黄淮海夏玉米物候期遥感监测研究[J]. 遥感信息,2013,28(3): 85-90. Liu J,Tian Q J,Huang Y,et al. Monitoring phenology of summer maize in Huang-Huai-Hai using remote sensing technology[J]. Remote Sensing Information,2013,28(3): 85-90. (in Chinese) [17]姜亚珍,张瑜洁,孙琛,等. 基于MODIS-EVI黄淮海平原冬小麦种植面积分带提取[J]. 资源科学,2015,37(2): 417-424. Jiang Y Z,Zhang Y J,Sun C,et al. MODIS-EVI based winter wheat planting information extraction of zoning on Huanghuaihai Plain[J]. Resources Science,2015,37(2): 417-424. (in Chinese) [18]孟林,刘新建,邬定荣,等. 华北平原夏玉米主要生育期对气候变化的响应[J]. 中国农业气象,2015,36(4): 375-382. Meng L,Liu X J,Wu D R,et al. Responses of summer maize main phenology to climate change in the North China Plain[J]. Chinese Journal of Agrometeorology,2015,36(4): 375-382. (in Chinese) [19]Liu Y,Xie R,Hou P,et al. Phenological responses of maize to changes in environment when grown at different latitudes in China[J]. Field Crops Research,2013,144: 192-199. [20]Yan H,Zhen Y,Dong B W,et al. Effect of latitude on growth period and quality of maize(Zea mays L.)[J]. Chinese Agricultural Science Bulletin,2009,27(12): 38-41. [21]卢爱刚,庞德谦,何元庆,等. 全球升温对中国区域温度纬向梯度的影响[J]. 地理科学,2006,26(3): 345-350. Lu A G,Pang D Q,He Y Q,et al. Impact of global warming on latitudinal temperature gradients in China[J]. Scientia Geographica Sinica,2006,26(3): 345-350. (in Chinese) [22]北京市统计局,国家统计局北京调查总队. 北京统计年鉴[M]. 北京: 中国统计出版社,2013. Beijing Municipal Bureau of Statistics,Survey Office of the National Bureau of Statistics in Beijing. Beijing statistical yearbook [M]. Beijing: China Statistics Press,2013. (in Chinese) [23]河北省人民政府办公厅,河北省统计局. 河北农村统计年鉴[M]. 北京: 中国统计出版社,2013. The People's Government of Hebei Province Hebei Provincial Bureau of Statistics. HeBei rural statistical yearbook [M]. Beijing: China Statistics Press,2013. (in Chinese) [24]河南省统计局. 河南统计年鉴[M]. 北京: 中国统计出版社,2013. Henan Province Bureau of Statistics. Henan statistical yearbook[M]. Beijing: China Statistics Press,2013. (in Chinese) [25]山东省统计局,国家统计局山东调查总队. 山东统计年鉴[M]. 北京: 中国统计出版社,2013. Shandong Provincial Bureau of Statistics,Survey Office of the National Bureau of Statistics in Shandong. Shandong statistical yearbook[M]. Beijing: China Statistics Press,2013. (in Chinese) [26]天津市统计局. 天津统计年鉴[M]. 北京: 中国统计出版社,2013. Tianjin Municipal Bureau of Statistics. Tianjin statistical yearbook[M]. Beijing: China Statistics Press,2013. (in Chinese) [27]Mitra P,Shankar B U,Pal S K. Segmentation of multispectral remote sensing images using active support vector machines[J]. Pattern Recognition Letters,2004,25(9): 1067-1074. [28]Mountrakis G,Im J,Ogole C. Support vector machines in remote sensing: a review[J]. ISPRS Journal of Photogrammetry and Remote Sensing,2011,66(3): 247-259. [29]Savitzky A,Golay M J E. Smoothing and differentiation of data by simplified least squares procedures[J]. Analytical Chemistry,1964,36(8): 1627-1639. [30]边金虎,李爱农,宋孟强,等. MODIS植被指数时间序列Savitzky-Golay滤波算法重构[J]. 遥感学报,2010,14(4): 725-741. Bian J H,Li A N,Song M Q,et al. Reconstruction of NDVI time-series datasets of MODIS based on Savitzky-Golay filter[J]. Journal of Remote Sensing,2010,14(4): 725-741. (in Chinese) [31]陈燕芬,牛振国,胡胜杰,等. 基于MODIS时间序列数据的洞庭湖湿地动态监测[J]. 水利学报,2016,47(9): 1093-1104. Chen Y F,Niu Z G,Hu S J,et al. Dynamic monitoring of Dongting Lake wetland using time-series MODIS imagery [J]. Journal of Hydraulic Engineering,2016,47(9): 1093-1104. (in Chinese) [32]Gu X H,Pan Y Z,He X,et al. Measurement of sown area of winter wheat based on per-field classification and remote sensing imagery[J]. Journal of Remote Sensing,2010,14(4): 789-805. [33]Zhang J H,Feng L L,Yao F M.Improved maize cultivated area estimation over a large scale combining MODIS–EVI time series data and crop phenological information[J]. ISPRS Journal of Photogrammetry & Remote Sensing, 2014,94(94): 102-113. [34]李红真,杨朝,刘恩海,等. P-tile与直方图FCM结合的路面图像分块分割[J]. 计算机时代,2010,(8): 32-34. Li H Z,Yang C,Liu E H,et al. P-tile combined with histogram- based FCM for pavement image partitioning[J]. Computer Era,2010,(8): 32-34. (in Chinese) [35]Gu X H,Pan Y C,He X,et al. Estimation of maize planting area through the fusion of multi-source images[J]. Computer and Computing Technologies in Agriculture V,2012: 470-477. [36]刘新圣,孙睿,武芳,等. 利用MODIS-EVI时序数据对河南省土地覆盖进行分类[J]. 农业工程学报,2010,(s1): 213-219. Liu X S,Sun R,Wu F,et al. Land-cover classification for Henan Province with time-series MODIS EVI data[J]. Transactions of the CSAE,2010,(s1): 213-219. (in Chinese) [37]王红营,潘学鹏,罗建美,等. 基于遥感的华北平原农作物时空分布变化特征分析[J]. 中国生态农业学报,2015,23(9): 1199-1209. Wang H Y,Pan X P,Luo J M,et al. Using remote sensing to analyze spatiotemporal variations in crop planting in the North China Plain[J]. Chinese Journal of Eco-Agriculture, 2015,23(9): 1199-1209. (in Chinese) [38]刘珺,田庆久,黄彦,等. 2000-2010年黄淮海平原夏玉米种植时空变化检测[J]. 光谱学与光谱分析,2012,32(9): 2534-2539. Liu J,Tian Q J,Huang Y,et al. Dynamic monitoring of summer maize planting information for spatial and temporal variations in Huanghuaihai Plain during 2000-2010[J]. Spectroscopy and Spectral Analysis,2012,32(9): 2534-2539. (in Chinese)