Uhl, Johannes H., and Leyk, Stefan. Spatially explicit accuracy assessment of deep learning-based, fine-resolution built-up land data in the United States. Retrieved from https://par.nsf.gov/biblio/10482820. International Journal of Applied Earth Observation and Geoinformation 123.C Web. doi:10.1016/j.jag.2023.103469.

Uhl, Johannes H., & Leyk, Stefan. Spatially explicit accuracy assessment of deep learning-based, fine-resolution built-up land data in the United States. International Journal of Applied Earth Observation and Geoinformation, 123 (C). Retrieved from https://par.nsf.gov/biblio/10482820. https://doi.org/10.1016/j.jag.2023.103469

Uhl, Johannes H., and Leyk, Stefan. "Spatially explicit accuracy assessment of deep learning-based, fine-resolution built-up land data in the United States". International Journal of Applied Earth Observation and Geoinformation 123 (C). Country unknown/Code not available: Elsevier. https://doi.org/10.1016/j.jag.2023.103469. https://par.nsf.gov/biblio/10482820.

@article{osti_10482820,
place = {Country unknown/Code not available}, title = {Spatially explicit accuracy assessment of deep learning-based, fine-resolution built-up land data in the United States}, url = {https://par.nsf.gov/biblio/10482820}, DOI = {10.1016/j.jag.2023.103469}, abstractNote = {}, journal = {International Journal of Applied Earth Observation and Geoinformation}, volume = {123}, number = {C}, publisher = {Elsevier}, author = {Uhl, Johannes H. and Leyk, Stefan}, }