[1] Pengfei SONG, Min JI, Gang LI. Correlation analysis of vegetation coverage change and climatic factors in Shandong province. Bulletin of Surveying and Mapping, 109-113(2018).

[2] Zhijie WU, Guojin HE, Shaolin HUANG et al. Topographic effect evaluation of remote sensing estimation of vegetation coverage in hilly region of Southern China. Journal of Remote Sensing, 21, 159-167(2017).

[3] Zhengxing WANG, Chuang LIU, Bingru ZHAO et al. ANPP estimate from MODIS-EVI for the grassland region of Xilingol. Journal of Lanzhou University（Natural Sciences Edition）, 41, 10-16(2005).

[4] Xia JING, Liangyun LIU, Chao ZHANG et al. Monitoring planting information of Beijing winter wheat utilizing multi-temporal NDVI. Remote Sensing Technology and Application, 19, 238-242(2005).

[5] Baojia DU, Jing ZHANG, Zongming WANG et al. Crop mapping based on Sentinel-2A NDVI time series using object-oriented classification and decision tree model. Journal of Geo-information Science, 21, 740-751(2019).

[6] Huanxue ZHANG, Xin CAO, Qiangzi LI et al. Research on crop identification using multi-temporal NDVI HJ images. Remote Sensing Technology and Application, 30, 304-311(2015).

[7] Jianqiang REN, Zhongxin CHEN, Qingbo ZHOU et al. Remote sensing estimation of maize yield per unit area from MODIS vegetation index. Journal of Remote Sensing, 19, 568-577(2015).

[8] Yunwei FAN. Crop yield are estimated using multitemporal NDVI measurement results of AVHRR data. Remote Sen-sing Technology and Application, 9, 40-45(1994).

[9] Yin CAO, Yuntao YE, Hongli ZHAO et al. Remote sensing of total suspended matter concentration and turbidity in a macrophytic lake. Journal of Remote Sensing, 23, 1253-1268(2019).

[10] Zhen ZHANG, Mi ZHANG, Wei XIAO et al. Analysis of temporal and spatial variations in NDVI of aquatic vegetation in Lake Taihu. Journal of Remote Sensing, 22, 324-334(2018).

[11] P PAMPALON, S PALOSCIA. Microwave emission and plant water content： A comparison between field measurements and theory. IEEE Transactions on Geoscience and Remote Sensing, 900-905(1986).

[12] B J CHOUDHURY, C J TUCKER. Monitoring global vegetation using Nimbus-7 37 GHz data： Some empirical relations. International Journal of Remote Sensing, 8, 1085-1090(1987).

[13] F BECKER, B J CHOUDHURY. Relative sensitivity of Normalized Difference Vegetation Index（NDVI） and Microwave Polarization Difference Index（MPDI） for vegetation and desertification monitoring. Remote Sensing of Environment, 24, 297-311(1988).

[14] JEU R DE, J WALKER. A methodology for surface soil moisture and vegetation optical depth retrieval using the mi-crowave polarization difference index. IEEE Transactions on Geoscience and Remote Sensing, 39, 1643-1654(2001).

[15] S PALOSCIA, P PAMPALONI. Microwave vegetation inde-xes for detecting biomass and water conditions of agricultural crops. Remote Sensing of Environment, 40, 15-26(1992).

[16] Y H KERR, E G NJOKU. A semiempirical model for interpreting microwave emission from semiarid land surfaces as seen from space. IEEE Transactions on Geoscience and Remote Sensing, 28, 384-393(1990).

[17] J C SHI, T JACKSON, J TAO et al. Microwave vegetation indices for short vegetation covers from satellite passive microwave sensor AMSR-E. Remote Sensing of Environment, 112, 4285-4300(2008).

[18] Q MIN, B LIN. Remote sensing of evapotranspiration and carbon uptake at Harvard forest. Remote Sensing of Environment, 100, 379-387(2006).

[19] Q MIN, B LIN, R LI. Remote sensing vegetation hydrological states using passive microwave measurements. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 3, 124-131(2010).

[20] X WANG, Z WANG. Microwave emissivity of typical vegetated land types based on AMSR2. Remote Sensing, 14, 4276(2022).

[21] P J SELLERS. Canopy reflectance， photosynthesis and transpiration. International Journal of Remote Sensing, 6, 1335-1372(1985).

[22] Xue SHANG, Zhaoquan HE, Tonghui ZHANG et al. Temporal and spatial variation characteristics and driving mechanism of enhanced vegetation index. Journal of Forest and Environment, 40, 478-485(2020).

[23] A R HUETE, C JUSTICE, W J D VAN LEEUWEN. MODIS Vegetation Index （MOD13） Algorithm Theoretical Basis Document （ATBD） Version3.0. http：∥modis.gsfc.nasa.gov/data/atbd/atbd_mod13.pdf

[24] Jie SHEN, Xiaoping XIN, Jing ZHANG et al. Reconstruction of SIF remote sensing data of vegetation in China based on Cubist. Remote Sensing Technology and Application, 37, 244-252(2022).