[1] Qian WANG, Yu ZHANG, Xiaojiao ZOU et al. Study on the influencing factors of grain yield increase in Sanjiang Plain region based on LMDI. China Agricultural Resources and Zoning, 41, 103-109(2020).

[2] X JIANG, S FANG, X HUANG et al. Rice mapping and growth monitoring based on time series GF-6 images and red-edge bands. Remote Sensing, 13, 579(2021).

[3] L CHONG, H LIU, F QIANG et al. Mapping the fallowed area of paddy fields on Sanjiang Plain of Northeast China to assist water security assessments. Journal of Integrative Agriculture, 19, 1885-1896(2020).

[4] Tielong YU, Lan YANG, Tingting ZHANG et al. Application of near-spatial remote sensing for accurate monitoring of agricultural conditions during the whole life cycle of rice. China Agricultural Abstracts-Agricultural Engineering, 34, 55-64(2022).

[5] Y ZHANG, H YANG, H CUI et al. Comparison of the ability of ARIMA， WNN and SVM models for drought forecasting in the Sanjiang Plain， China. Natural Resources Research, 29, 1447-1464(2020).

[6] Jingyi ZHANG, Jinliang WANG, Wenying HU et al. Research on land use classification based on object-oriented CART decision tree. Geospatial Information, 21, 113-118(2023).

[7] J HAN, Z ZHANG, Y LUO et al. Annual paddy rice planting area and cropping intensity datasets and their dynamics in the Asian monsoon region from 2000 to 2020. Agricultural Systems, 200, 103437(2022).

[8] U RAUF, W QURESHI, H JABBAR et al. A new method for pixel classification for rice variety identification using spectral and time series data from Sentinel-2 satellite imagery. Computers and Electronics in Agriculture, 193, 106731(2022).

[9] W ZHU, X PENG, M DING et al. Decline in planting areas of Double-Season Rice by half in Southern China over the last two decades. Remote Sensing, 16, 440(2024).

[10] J DONG, X XIAO, M MENARGUEZ et al. Mapping paddy rice planting area in Northeastern Asia with Landsat 8 images， phenology-based algorithm and Google Earth Engine. Remote Sensing of Environment, 185, 142-154(2016).

[11] Weipan LIN, Huaimin LI, Jun NI et al. Rice growth monitoring based on portable three-band crop growth monitor. Journal of Agricultural Engineering, 36, 203-208(2020).

[12] M LI, G WANG, A SUN et al. Monitoring grassland variation in a typical area of the Qinghai Lake Basin using 30 m annual maximum NDVI data. Remote Sensing, 16, 1222(2024).

[13] Aixia LIU, Changyao WANG, Zhengjun LIU et al. Extraction of cotton information and monitoring of cotton growth in arid areas based on RS and GIS. Geography and Geographic Information Science, 101-104(2003).

[14] Meichen FENG, Wude YANG, Dongyan ZHANG et al. Extraction of winter wheat area and monitoring of growth in dry and wet lands based on TM and MODIS data. Journal of Agricultural Engineering, 25, 103-109，313(2009).

[15] Yunfei XU, Qi CHENG, Xiangping WEI et al. The coefficient of variation method combined with optimization neural network for unmanned aircraft winter wheat growth monitoring. Journal of Agricultural Engineering, 37, 71-80(2021).

[16] S UEREYEN, C KUENZER. Agricultural drought conditions over mainland Southeast Asia： Spatiotemporal characteristics revealed from MODIS-based vegetation time-series. International Journal of Applied Earth Observation and Geoinformation, 121, 103378(2023).

[17] Yanchen BO, Jinfeng WANG. Research on thematic classification method of remote sensing data combined with multiple classifiers. Journal of Remote Sensing, 9, 555-563(2005).

[18] Jing YANG, Mingtao DING, Zhenhonget al LI. Analysis of the evolution of spatio-temporal pattern of Qinghai Lake supported by Google Earth Engine. Surveying and Mapping Geographic Information, 48, 92-97(2023).

[19] Yongshuai LI, Xiudong QI. Research on extraction of paddy fields in Sanjiang Plain based on Google Earth Engine. Geospatial Information, 19, 77-80，6(2021).

[20] Yonglan QIAN, Yingyu HOU, Hao YAN et al. Remote sensing-based monitoring of foreign crop growth and yield trend estimation. Journal of Agricultural Engineering, 28, 166-171(2012).

[21] Menglan LIU, Lei GAO, Zigang LIU et al. Study on factors influencing farmers' willingness to fallow in the well irrigated rice area of Sanjiang Plain-based on multicategorical ordered Logit model and structural equation model. China Agricultural Resources and Zoning, 44, 87-97(2023).

[22] W D BRIAN, E L STEPHEN. Large-area crop mapping using time-series MODIS 250 m NDVI data：An assessment for the U.S.Central Great Plains. Remote Sensing of Environment, 112, 1096-1116(2008).

[23] X M XIAO, B STEPHEN, J Y LIU et al. Mapping paddy rice agriculture in southern China using multi-temporal MODIS images. Remote Sensing of Environment, 95, 480-492(2005).

[24] H Q LIU, A R HUETE. A feedback-based modification of the NDVI to minimize canopy background and atmosphere noise. IEEE Transactions on Geoscience and Remote Sensing, 33, 457-465(1995).

[25] Lei FANG, Zhongfeng ZHANG, Hongxia ZHAO et al. Analysis of spatial and temporal changes of normalized difference vegetation index in Zhangdian District， Zibo during urbanization. Jiangxi Science, 41, 121-126，147(2023).

[26] Jiawei HUI, Zhongke BAI, Kaijie LIU et al. Applicability Analysis of Normalized difference Vegetation Index （NDVI） in grassland open-pit coal mine. Journal of Engineering Science, 45, 54-63(2023).

[27] G Dong, S Chen, K Liu et al. Spatiotemporal variation in sensitivity of urban vegetation growth and greenness to vegetation water content： Evidence from Chinese megacities. Science of The Total Environment, 905, 167090(2023).

[28] Zhixiao ZOU, Changxiu CHENG, Shi SHEN. Study on the influence of socio-economic and meteorological factors on rice yield in the Sanjiang Plain as an example. Agricultural Resources and Zoning in China, 43, 24-30(2022).

[29] Xin ZHAO, Xiaodong NA. Research on remote sensing monitoring of crop growth based on comprehensive indexes--Taking Songnen Plain as an example. Geography and Geographic Information Science, 38, 34-39(2022).

[30] Guiping REN, Xiaoyu WANG, Zhulin CHENG et al. Evaluation of the quality of wolfberry dried at different temperatures based on the coefficient of variation method. Modern Food Science and Technology, 38, 264-271(2022).

[31] Wenqi ZHANG, Ge SONG. Analysis of spatial and temporal variation and driving factors of paddy fields in typical areas of the Sanjiang Plain. Journal of Agricultural Engineering, 35, 244-252(2019).

[32] Rui MA, Cheng Liang HUANG, Ying MENG et al. Effect of sowing period on fertility and yield of main rice varieties in the Sanjiang Plain. China Rice, 25, 79-82(2019).

[33] Chunyan CHU, Guiyu SUN, Hongmei ZHANG et al. Effects of different low temperature treatments during the tassel-filling period on the quality of main rice cultivars in the Sanjiang Plain. Agricultural Engineering, 11, 131-136(2021).

[34] Shuting QIAO, Huichun YE, Wenjiang HUANG et al. Research on the extraction method of rice planting area based on Sentinel-1/2 image--Three Rivers Plain as an example. Remote Sensing Technology and Applications, 38, 78-89(2023).

[35] Gang DENG, ZhiGuang TANG, Zhaokui Li et al. Extraction and spatial and temporal variation analysis of rice cultivation area in Hunan Province based on MODIS time-series data. Remote Sensing of Land Resources, 32, 177-185(2020).

[36] Yanxin HAN, Jihua MENG, Jin XU. A method of soybean growth evaluation based on NDVI and weather correction. Journal of Agricultural Engineering, 33, 177-182(2017).

[37] Changyao WANG, Wenpeng LIN. Research on remote sensing prediction of winter wheat yield based on MODISEVI. Journal of Agricultural Engineering, 21, 90-94(2005).