References

1. 1.
   Bian Z H, Ma X X, Gong L C, Zhao J, Zeng C F and Wang L C. 2017. Land use prediction based on clue-s model under different non-spatial simulation methods: a case study of the qinhuai river watershed. Scientia Geographica Sinica, 37(2): 252-258
2. 2.
   Chen N, Xin C L, Zhang B, Xin S J, Tang D B, Chen H X and Ma X. 2023. Contribution of multi-objective land use optimization to carbon neutrality: a case study of Northwest China. Ecological Indicators, 157: 111219
3. 3.
   Du H L. 2022. Practical exploration of ordos to promote green and innovative development of energy industry. New Economy and Future Industry, (4): 50-54
4. 4.
   Feng Q L, Niu B W, Ren Y, Su S, Wang J D, Shi H D, Yang J Y and Han M Y. 2024. A 10-m national-scale map of ground-mounted photovoltaic power stations in China of 2020. Scientific Data, 11: 198
5. 5.
   Guo G J. 2019. Research on the Influence of local government's environmental policy on regional ecological efficiency: based on 2008~2017 provincial panel data. Shanghai: East China Normal University
6. 6.
   Hai K, Wang S Y, Tu P, Yang R X, Ma Y X, Liang J Z, Liu W H and Wu L L. 2022. Spatio-temporal patterns and driving forces of recent (1992—2015) land cover change in countries along the belt and road initiative. National Remote Sensing Bulletin, 26(6): 1220-1235
7. 7.
   Hao Q M. 2014. Study on the current situation and development of solar energy application in Erdos city. Technological Pioneers, (3): 151-152
8. 8.
   Hazra A, McNally A, Slinski K, Arsenault K R, Shukla S, Getirana A, Jacob J P, Sarmiento D P, Peters-Lidard C, Kumar S V and Koster R D. 2023. NASA’s NMME-based S2S hydrologic forecast system for food insecurity early warning in southern Africa. Journal of Hydrology, 617: 129005.
9. 9.
   Jiang H, Yao L, Bai Y Q and Zhou C H. 2024. Assessment of rooftop photovoltaic power generation potentials by using multisource remote sensing data. National Remote Sensing Bulletin, 28(11): 2801-2814
10. 10.
    Karra K, Kontgis C, Statman-Weil Z, Mazzariello J C, Mathis M and Brumby S P. 2021. Global land use/land cover with Sentinel 2 and deep learning//2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS. Brussels: IEEE: 4704-4707
11. 11.
    Li K N, Chen Y H, Wang M J and Gong A D. 2019. Spatial-temporal variations of surface urban heat island intensity induced by different definitions of rural extents in China. Science of the Total Environment, 669: 229-247.
12. 12.
    Liang J T, Chen C, Sun W W, Yang G, Liu Z S and Zhang Z L. 2023. Spatio-temporal land use/cover change dynamics in Hangzhou Bay, China, using long-term Landsat time series and GEE platform. National Remote Sensing Bulletin, 27(6): 1480-1495
13. 13.
    Liang X, Guan Q F, Clarke K C, Liu S S, Wang B Y and Yao Y. 2021. Understanding the drivers of sustainable land expansion using a patch-generating land use simulation (PLUS) model: a case study in Wuhan, China. Computers, Environment and Urban Systems, 85: 101569.
14. 14.
    Liu B C and Huo X K. 2024. Prediction of photovoltaic power generation and analyzing of carbon emission reduction capacity in China. Renewable Energy, 222: 119967.
15. 15.
    Liu B X, Huang Y H, Fu J Y and Jiang D. 2012. Analysis on spatio-temporal change and driving forces of land use in Tianjin harbor. Journal of Geo-information Science, 14(2): 270-278
16. 16.
    Liu J Y and Buheaosier. 2000. Study on spatial-temporal feature of modern land-use change in China: using remote sensing techniques. Quaternary Sciences, 20(3): 229
17. 17.
    Long R Y, Cui W H and Li Q W. 2017. The evolution and effect evaluation of photovoltaic industry policy in China. Sustainability, 9(12): 2147
18. 18.
    Ma S, Liu J H, Zhang P, Tu X Y, Zhou J N, Liu Y and Zheng Y J. 2023. Characterizing the development of photovoltaic power stations and their impacts on vegetation conditions from Landsat time series during 1990-2022. Remote Sensing, 15(12): 3101
19. 19.
    Prudente V H R, Skakun S, Oldoni L V, Xaud H A M, Xaud M R, Adami M and Sanches I D. 2022. Multisensor approach to land use and land cover mapping in Brazilian Amazon. ISPRS Journal of Photogrammetry and Remote Sensing, 189: 95-109
20. 20.
    Qu Z, Yang S C, Xiao J H. 2024. Current situation and potential of photovoltaic power plant construction in northwestern China under the background of carbon peaking and carbon neutrality. Journal of Arid Land Resources and Environment, 38(2): 20-26
21. 21.
    Quan J L, Chen Y H, Zhan W F, Wang J F, Voogt J and Wang M J. 2014. Multi-temporal trajectory of the urban heat island centroid in Beijing, China based on a Gaussian volume model. Remote Sensing of Environment, 149: 33-46
22. 22.
    Tang X J, Woodcock C E, Olofsson P and Hutyra L R. 2021. Spatiotemporal assessment of land use/land cover change and associated carbon emissions and uptake in the Mekong River Basin. Remote Sensing of Environment, 256: 112336.
23. 23.
    Tian Z Q, Zhang Y, Liu X, Chen S Y, Liu B L and Wu J H. 2024. Effects of photovoltaic power station construction on terrestrial environment: retrospect and prospect. Environmental Science, 45(1): 239-247
24. 24.
    Wang B J and Yu P. 2022. Evaluation on the policy efficacy and effect of photovoltaic industry——quantitative analysis of China's policy texts from 2010 to 2020. Soft Science, 36(8): 9-16
25. 25.
    Wang Z Y, Wang J, Gao Y, Dang X H and Meng Z J. 2019. Impacts of photovoltaic power station construction on ecology environment in sandy area. Bulletin of Soil and Water Conservation, 39(1): 191-196
26. 26.
    Xu X C, Li B J, Liu X P, Li X and Shi Q. 2021. Mapping annual global land cover changes at a 30 m resolution from 2000 to 2015. National Remote Sensing Bulletin, 25(9): 1896-1916
27. 27.
    Yu Z L, Zhao M S, Gao Y F, Wang T, Zhao Z D and Wang S H. 2023. Multiscenario simulation and prediction of land use in Huaibei city based on CLUE-S and PLUS models. Applied Sciences, 13(12): 7142.
28. 28.
    Zhang X, Liu L Y, Chen X D, Gao Y, Xie S and Mi J. 2020. GLC_FCS30: global land-cover product with fine classification system at 30 m using time-series Landsat imagery. Earth System Science Data, 13(6): 2753-2776
29. 29.
    Zhang X, Wang M P and Shi W. 2024. Scenario analysis of PV power generation path in Ordos region under carbon neutrality target. Solar Energy, (4): 20-28.
30. 30.
    Zhu J F, Zhou Y, Wang S X, Wang L T, Liu W L, Li H T and Mei J J. 2019. Analysis of changes of Baiyangdian wetland from 1975 to 2018 based on remote sensing. Journal of Remote Sensing (in Chinese), 23(5): 971-986
31. 31.
    Zou C N, Li S X, Xiong B, Chen Y P, Zhang G S, Xie X P, Liu H L, Ma F, Liang Y B, Zhu K, Guan C X, Pan S Q, Hou M F, Yuan Y L, Lou S H.2024. Connotation, pathway and significance of carbon neutrality “super energy system”: A case study of the Ordos Basin, NW China. Petroleum Exploration and Development, 51(4): 924-936