研究论文
An enhanced spatiotemporal fusion method – Implications for DNN based time-series LAI estimation by using Sentinel-2 and MODIS
Yan Li, Yanzhao Ren, Wanlin Gao, Jingdun Jia, Sha Tao, Xinliang Liu
Hebei Normal University of Science and Technology China Agricultural University Beijing Technology and Business University Ministry of Agriculture and Rural Affairs
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学术脉络
学科主题
物理Remote Sensing in Agriculture
Leaf Properties and Growth Measurement · Remote Sensing and LiDAR Applications
参考文献 58
Use of MODIS and Landsat time series data to generate high-resolution temporal synthetic Landsat data using a spatial and temporal reflectance fusion model
被引 284Zheng Niu · Journal of Applied Remote Sensing · 2012
Relationships between gross primary production, green LAI, and canopy chlorophyll content in maize: Implications for remote sensing of primary production
被引 274Anatoly A. Gitelson, Yi Peng, Timothy J. Arkebauer · Remote Sensing of Environment · 2014
Spatiotemporal Reflectance Fusion via Sparse Representation
被引 418Bo Huang, Huihui Song · IEEE Transactions on Geoscience and Remote Sensing · 2012
此处列出前 3 条
引用本文 22
A review of remote sensing image spatiotemporal fusion: Challenges, applications and recent trends
被引 62Juan Xiao, Ashwani Kumar Aggarwal, Nguyen Hong Duc · Remote Sensing Applications Society and Environment · 2023
Digital mapping of soil organic carbon density using newly developed bare soil spectral indices and deep neural network
被引 57Qian Liu, He Li, Long Guo · CATENA · 2022
Assimilation of Sentinel‐Based Leaf Area Index for Modeling Surface‐Ground Water Interactions in Irrigation Districts
被引 37Nima Zafarmomen, Hosein Alizadeh, Mehrad Bayat · Water Resources Research · 2024
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