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000910498 1001_ $$0P:(DE-Juel1)180929$$aChakhvashvili, Erekle$$b0$$eCorresponding author
000910498 1112_ $$aIGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium$$cKuala Lumpur$$d2022-07-17 - 2022-07-22$$wMalaysia
000910498 245__ $$aLAI and Leaf Chlorophyll Content Retrieval Under Changing Spatial Scale Using a UAV-Mounted Multispectral Camera
000910498 260__ $$bIEEE$$c2022
000910498 300__ $$a7891-7894
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000910498 520__ $$aRecent advancements in unmanned aerial vehicle (UAV) technologies made it possible to monitor agricultural fields at higher spatial and temporal resolution than commonly possible by aerial and satellite surveys. Mapping crop variables such as leaf area index (LAI) and leaf chlorophyll content (LCC) from low-cost UAV-based multispectral cameras can deliver vital information about crop status to farmers and plant breeders. Retrieval of these variables using radiative transfer models (RTMs) has been widely studied in the satellite remote sensing community but is still not well explored in the UAV remote sensing community. This study aims to investigate the advantages of high spatial resolution UAV image data for retrieving LAI and LCC using RTM inversion. A breeding experiment consisting of soybean plots has shown that high-resolution imagery (0.015m) delivers better retrieval accuracy compared to coarser resampled image data. Particularly, biochemical parameters, such as LCC, benefit from high spatial resolution.
000910498 536__ $$0G:(DE-HGF)POF4-2173$$a2173 - Agro-biogeosystems: controls, feedbacks and impact (POF4-217)$$cPOF4-217$$fPOF IV$$x0
000910498 536__ $$0G:(BMBF)390732324$$aEXC 2070:  PhenoRob - Robotics and Phenotyping for Sustainable Crop Production (390732324)$$c390732324$$x1
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000910498 7001_ $$0P:(DE-Juel1)186921$$aBendig, Juliane$$b1$$ufzj
000910498 7001_ $$0P:(DE-Juel1)172711$$aSiegmann, Bastian$$b2$$ufzj
000910498 7001_ $$0P:(DE-Juel1)161185$$aMuller, Onno$$b3$$ufzj
000910498 7001_ $$0P:(DE-HGF)0$$aVerrelst, Jochem$$b4
000910498 7001_ $$0P:(DE-Juel1)129388$$aRascher, Uwe$$b5
000910498 773__ $$a10.1109/IGARSS46834.2022.9883446
000910498 8564_ $$uhttps://juser.fz-juelich.de/record/910498/files/2022_Chakhvashvili_LAI%20AND%20LEAF%20CHLOROPHYLL%20CONTENT%20RETRIEVAL%20UNDER%20CHANGING%20SPATIAL%20SCALE%20USING%20A%20UAV-MOUNTED%20MULTISPECTRAL%20CAMERA.pdf$$yRestricted
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000910498 9141_ $$y2022
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