%0 Conference Paper %1 isprs-archives-XLI-B2-171-2016 %A Dahms, Thorsten %A Seissiger, Sylvia %A Conrad, Christopher %A Borg, Erik %B ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences %C Prague, Czech Republic %D 2016 %K conference inproceedings Dahms LSFE %P 171-175 %R 10.5194/isprs-archives-XLI-B2-171-2016 %T Modelling Biophysical Parameters Of Maize Using Landsat 8 Time Series %U http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLI-B2/171/2016/ %V XLI-B2 %X Open and free access to multifrequent high-resolution data (e.g. Sentinel-2) will fortify agricultural applications based on satellite data. The temporal and spatial resolution of these remote sensing datasets directly affects the applicability of remote sensing methods, for instance a robust retrieving of biophysical parameters over the entire growing season with very high geometric resolution.

@inproceedings{isprs-archives-XLI-B2-171-2016, abstract = {Open and free access to multifrequent high-resolution data (e.g. Sentinel-2) will fortify agricultural applications based on satellite data. The temporal and spatial resolution of these remote sensing datasets directly affects the applicability of remote sensing methods, for instance a robust retrieving of biophysical parameters over the entire growing season with very high geometric resolution. }, added-at = {2020-09-11T12:04:50.000+0200}, address = {Prague, Czech Republic}, author = {Dahms, Thorsten and Seissiger, Sylvia and Conrad, Christopher and Borg, Erik}, biburl = {https://www.bibsonomy.org/bibtex/2e2cab5c8ed5d7929b4e5bf91fcfc4a90/earthobs_uniwue}, booktitle = {ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences}, day = {12. - 19.}, doi = {10.5194/isprs-archives-XLI-B2-171-2016}, interhash = {8f552270fb4a307ab910a51103ec95b3}, intrahash = {e2cab5c8ed5d7929b4e5bf91fcfc4a90}, keywords = {conference inproceedings Dahms LSFE}, month = jul, pages = {171-175}, timestamp = {2020-11-18T22:08:33.000+0100}, title = {Modelling Biophysical Parameters Of Maize Using Landsat 8 Time Series}, url = {http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLI-B2/171/2016/}, volume = {XLI-B2}, year = 2016 }