|
[1]
|
Huang, J., Li, X., Wang, L., Wang, X., Li, S. and Zhang, F. (2026) Construction and Performance Evaluation of a Compound High-Temperature and Drought Index for Summer in Southwest China. Natural Hazards, 122, Article No. 475. https://doi.org/10.1007/s11069-026-08252-0
|
|
[2]
|
Li, X.H., Li, S.R., Wang, L., Wang, X.J. and Huang, J. (2026) Spatiotemporal Variability of Drought-Flood Abrupt Alternation Events in Southwest China during 1961 to 2024. Theoretical and Applied Climatology, 157, Article No. 96. https://doi.org/10.1007/s00704-026-06024-1
|
|
[3]
|
何志远, 钟九生, 代仁丽, 等. 基于机器学习的综合干旱监测建模及在西南地区应用[J]. 水利水电技术, 2022, 53(2): 43-51.
|
|
[4]
|
Kogan, F.N. (2002) World Droughts in the New Millennium from AVHRR‐Based Vegetation Health Indices. Eos, Transactions American Geophysical Union, 83, 557-563. https://doi.org/10.1029/2002eo000382
|
|
[5]
|
Karnieli, A., Agam, N., Pinker, R.T., Anderson, M., Imhoff, M.L., Gutman, G.G., et al. (2010) Use of NDVI and Land Surface Temperature for Drought Assessment: Merits and Limitations. Journal of Climate, 23, 618-633. https://doi.org/10.1175/2009jcli2900.1
|
|
[6]
|
Kogan, F.N. (1995) Application of Vegetation Index and Brightness Temperature for Drought Detection. Advances in Space Research, 15, 91-100. https://doi.org/10.1016/0273-1177(95)00079-t
|
|
[7]
|
刘闯, 葛成辉. 美国对地观测系统(EOS)中分辨率成像光谱仪(MODIS)遥感数据的特点与应用[J]. 遥感信息, 2000(3): 45-48.
|
|
[8]
|
王宗敏, 杨海波, 计淇才, 等. 基于MODIS的河南省遥感干旱监测研究[J]. 水土保持通报, 2012, 32(1): 139-143, 211.
|
|
[9]
|
孙灏, 高金华, 闫亭廷, 等. 植被干旱遥感监测方法研究进展[J]. 遥感学报, 2024, 28(6): 1395-1411.
|
|
[10]
|
马梓策, 孙鹏, 张强, 等. 基于MODIS数据的华北地区遥感干旱监测研究[J]. 地理科学, 2022, 42(1): 152-162.
|
|
[11]
|
罗彪, 刘潇, 郭萍. 基于MODIS数据的河套灌区遥感干旱监测[J]. 中国农业大学学报, 2020, 25(10): 44-54.
|
|
[12]
|
吕潇然, 尹晓天, 宫阿都, 等. 基于植被状态指数的云南省农业干旱状况时空分析[J]. 地球信息科学学报, 2016, 18(12): 1634-1644.
|
|
[13]
|
陈维英, 肖乾广, 盛永伟. 距平植被指数在1992年特大干旱监测中的应用[J]. 环境遥感, 1994, 9(2): 106-112.
|
|
[14]
|
沈润平, 郭佳, 张婧娴, 等. 基于随机森林的遥感干旱监测模型的构建[J]. 地球信息科学学报, 2017, 19(1): 125-133.
|
|
[15]
|
Li, S.R., Li, X.H., Wang, L. and Wang, X.J. (2026) Spatiotemporal Evolution of Drought-Flood Abrupt Alternation Events and Their Relationship with Evapotranspiration in Southwest China: Based on CMIP6 Models and Future Projections. Atmosphere, 17, Article 285. https://doi.org/10.3390/atmos17030285
|
|
[16]
|
贾何佳, 李谢辉, 王磊, 等. 基于机器学习的西南地区遥感干旱监测与评估[J]. 高原气象, 2022, 41(6): 1572-1582.
|
|
[17]
|
李新尧, 杨联安, 聂红梅, 等. 基于植被状态指数的陕西省农业干旱时空动态[J]. 生态学杂志, 2018, 37(4): 1172-1180.
|
|
[18]
|
Li, X.H., Jia, H.J. and Wang, L. (2023) Remote Sensing Monitoring of Drought in Southwest China Using Random Forest and Extreme Gradient Boosting Methods. Remote Sensing, 15, Article 4840. https://doi.org/10.3390/rs15194840
|
|
[19]
|
Li, X.H., Wang, X.J. and Wang, L. (2026) Characteristics and Causal Drivers of the Summer 2024 Heatwaves in the Sichuan-Chongqing Region, Southwest China. Theoretical and Applied Climatology, 157, Article No. 207. https://doi.org/10.1007/s00704-026-06135-9
|
|
[20]
|
段海霞, 王劲松, 刘芸芸, 等. 2009/2010年我国西南秋冬春连旱特征及其大气环流异常分析[J]. 冰川冻土, 2013, 35(4): 1022-1035.
|
|
[21]
|
孙昭萱, 张强, 孙蕊, 等. 2022年西南地区极端高温干旱特征及其主要影响[J]. 干旱气象, 2022, 40(5): 764-770.
|
|
[22]
|
王林, 陈文, 黄刚, 等. 中国西南超级干旱的变化特征和多尺度异常叠加效应分析[J]. 中国科学: 地球科学, 2024, 54(7): 2114-2132.
|