Huangran

Vegetation Remote Sensing

Meteorological Disaster Remote Sensing

Thermal remote sensing

1. Xiao Yuanjun, Li Shengcheng, Huang Jingfeng, Huang Ran*, et al. A New Framework for the Reconstruction of Daily 1 km Land Surface Temperatures from 2000 to 2022. Remote Sens. 2023, 15, 4982. https://doi.org/10.3390/rs15204982

2. Huang Ran, et al. (2020). Soil temperature estimation at different depths, using remotely sensed data, Journal of Integrative Agriculture, 19(1): 277-290 (SCI, IF=1.984，Highly Cited Paper)
   

3. Huang Ran, et al. (2015). Mapping of Daily Mean Air Temperature in Agricultural Regions Using Daytime and Nighttime Land Surface Temperatures Derived from TERRA and AQUA MODIS Data. Remote Sensing, 7, 8728-8756. (SCI, IF=4.848)

4. Li Wenjie, Huang Jingfeng, Yang Lingbo, Chen Yan, Fang Yahua, Jin Hongwei, Sun Han, Huang Ran *. (2021).A practical remote sensing monitoring framework for late frost damage of wine grape using multi-source satellite data. Remote Sensing.13(16), 3231 (SCI, IF=4.848)

5. Dou Yujie, Huang Ran*, et al. (2020). Mapping high temperature damaged area of paddy rice along the Yangtze River using MODIS data. International Journal of Remote Sensing, 41(2),471-486. ( SCI, IF=1.782)