%0 Conference Paper %1 conf/igarss/BaiSQZS21 %A Bai, Linze %A Shu, Yuxuan %A Qian, Jiaqi %A Zhang, Sihang %A Shao, Zhenfeng %B IGARSS %D 2021 %I IEEE %K dblp %P 6909-6912 %T Geographically Weighted Regression Modeling Using Optical and Lidar Data to Map Aboveground Biomass of Urban Trees. %U http://dblp.uni-trier.de/db/conf/igarss/igarss2021.html#BaiSQZS21 %@ 978-1-6654-0369-6

@inproceedings{conf/igarss/BaiSQZS21, added-at = {2021-10-19T00:00:00.000+0200}, author = {Bai, Linze and Shu, Yuxuan and Qian, Jiaqi and Zhang, Sihang and Shao, Zhenfeng}, biburl = {https://www.bibsonomy.org/bibtex/239cb482a92611f9944a66b267ceaed05/dblp}, booktitle = {IGARSS}, crossref = {conf/igarss/2021}, ee = {https://doi.org/10.1109/IGARSS47720.2021.9553672}, interhash = {038d7cdc60d896d04bf7303b6ba1676f}, intrahash = {39cb482a92611f9944a66b267ceaed05}, isbn = {978-1-6654-0369-6}, keywords = {dblp}, pages = {6909-6912}, publisher = {IEEE}, timestamp = {2024-04-10T01:10:22.000+0200}, title = {Geographically Weighted Regression Modeling Using Optical and Lidar Data to Map Aboveground Biomass of Urban Trees.}, url = {http://dblp.uni-trier.de/db/conf/igarss/igarss2021.html#BaiSQZS21}, year = 2021 }