A twenty-year dataset of soil moisture and vegetation optical depth from AMSR-E/2 measurements using the multi-channel collaborative algorithm. Hu, L., Zhao, T., Ju, W., Peng, Z., Shi, J., Rodríguez-Fernández, N. J., Wigneron, J., Cosh, M. H., Yang, K., Lu, H., & Yao, P. Remote Sensing of Environment, 292:113595, July, 2023.
A twenty-year dataset of soil moisture and vegetation optical depth from AMSR-E/2 measurements using the multi-channel collaborative algorithm [link]Paper  doi  bibtex   
@article{hu_twenty-year_2023,
	title = {A twenty-year dataset of soil moisture and vegetation optical depth from {AMSR}-{E}/2 measurements using the multi-channel collaborative algorithm},
	volume = {292},
	issn = {00344257},
	url = {https://linkinghub.elsevier.com/retrieve/pii/S0034425723001463},
	doi = {10.1016/j.rse.2023.113595},
	language = {en},
	urldate = {2024-11-15},
	journal = {Remote Sensing of Environment},
	author = {Hu, Lu and Zhao, Tianjie and Ju, Weimin and Peng, Zhiqing and Shi, Jiancheng and Rodríguez-Fernández, Nemesio J. and Wigneron, Jean-Pierre and Cosh, Michael H. and Yang, Kun and Lu, Hui and Yao, Panpan},
	month = jul,
	year = {2023},
	pages = {113595},
}

Downloads: 0