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Yaotong Cai
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2020 – today
- 2024
- [j9]Yunfei Li, Liangli Meng, Huaizhang Sun, Qian Shi, Jun Li, Yaotong Cai:
Accelerate spatiotemporal fusion for large-scale applications. Int. J. Appl. Earth Obs. Geoinformation 129: 103807 (2024) - [j8]Yaotong Cai, Peng Zhu, Xiaoping Liu, Yan Zhou:
Forest fragmentation trends and modes in China: Implications for conservation and restoration. Int. J. Appl. Earth Obs. Geoinformation 133: 104094 (2024) - [j7]Tao Liu
, Xiaoping Liu
, Yaotong Cai
:
Urban Trees Expansion and Exposure Improvement in China: Insights From Satellite Observations (1985-2023). IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 9694-9705 (2024) - 2023
- [j6]Yaotong Cai
, Qian Shi, Xiaocong Xu
, Xiaoping Liu:
A novel approach towards continuous monitoring of forest change dynamics in fragmented landscapes using time series Landsat imagery. Int. J. Appl. Earth Obs. Geoinformation 118: 103226 (2023) - [j5]Yaotong Cai
, Yutian Zhang, Liyu Ma, Kaijian Luo, Xiaoping Liu
, Bingjie Li, Haoming Zhuang
:
An Adaptive Stacking Regressor With a Self-Iterative Optimization Module for Improving Fractional Woody Cover Mapping. IEEE Geosci. Remote. Sens. Lett. 20: 1-5 (2023) - 2020
- [j4]Yaotong Cai
, Xinyu Li
, Meng Zhang, Hui Lin:
Mapping wetland using the object-based stacked generalization method based on multi-temporal optical and SAR data. Int. J. Appl. Earth Obs. Geoinformation 92: 102164 (2020) - [j3]Yaotong Cai
, Meng Zhang
, Hui Lin:
Estimating the Urban Fractional Vegetation Cover Using an Object-Based Mixture Analysis Method and Sentinel-2 MSI Imagery. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 13: 341-350 (2020) - [j2]Meng Zhang
, Huaiqing Zhang, Xinyu Li
, Yang Liu, Yaotong Cai
, Hui Lin:
Classification of Paddy Rice Using a Stacked Generalization Approach and the Spectral Mixture Method Based on MODIS Time Series. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 13: 2264-2275 (2020)
2010 – 2019
- 2019
- [j1]Meng Zhang
, Hui Lin, Guangxing Wang
, Hua Sun
, Yaotong Cai:
Correction: Zhang, M., et al. Estimation of Vegetation Productivity Using a Landsat 8 Time Series in a Heavily Urbanized Area, Central China. Remote Sens. 2019, 11, 133. Remote. Sens. 11(10): 1246 (2019)
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last updated on 2024-08-28 23:33 CEST by the dblp team
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