%0 Journal Article %1 journals/remotesensing/TianLZZJ24 %A Tian, Xin %A Li, Jiejie %A Zhang, Fanyi %A Zhang, Haibo %A Jiang, Mi %D 2024 %J Remote. Sens. %K dblp %N 6 %P 1074 %T Forest Aboveground Biomass Estimation Using Multisource Remote Sensing Data and Deep Learning Algorithms: A Case Study over Hangzhou Area in China. %U http://dblp.uni-trier.de/db/journals/remotesensing/remotesensing16.html#TianLZZJ24 %V 16

@article{journals/remotesensing/TianLZZJ24, added-at = {2024-10-06T00:00:00.000+0200}, author = {Tian, Xin and Li, Jiejie and Zhang, Fanyi and Zhang, Haibo and Jiang, Mi}, biburl = {https://www.bibsonomy.org/bibtex/2fee7da34b973895f4ebe108fdb3b97de/dblp}, ee = {https://doi.org/10.3390/rs16061074}, interhash = {104a7406930df3eb44e81fad520da0ad}, intrahash = {fee7da34b973895f4ebe108fdb3b97de}, journal = {Remote. Sens.}, keywords = {dblp}, month = {March}, number = 6, pages = 1074, timestamp = {2024-10-07T07:08:01.000+0200}, title = {Forest Aboveground Biomass Estimation Using Multisource Remote Sensing Data and Deep Learning Algorithms: A Case Study over Hangzhou Area in China.}, url = {http://dblp.uni-trier.de/db/journals/remotesensing/remotesensing16.html#TianLZZJ24}, volume = 16, year = 2024 }