EVALUATION OF RGB VEGETATION INDICES DERIVED FROM UAV IMAGES FOR RICE CROP GROWTH MONITORING

نویسندگان

چکیده

Abstract. The unmanned aerial vehicles (UAVs) are widely used for agricultural monitoring due to reduce the cost and time of crop via acquisition images with high spatial-temporal resolution. normalized difference vegetation index (NDVI) is most studied mapping growth. A relatively expensive multispectral sensor required produce an NDVI map. visible indices (VIs) derived from UAV showed potential capabilities predicting purpose this paper evaluate RGB monitor growth rice crop. were obtained study area by DJI PM4 UAV. calculate as a reference different implemented compared index. results that can be in case unavailable images.

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ژورنال

عنوان ژورنال: ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences

سال: 2023

ISSN: ['2194-9042', '2194-9050', '2196-6346']

DOI: https://doi.org/10.5194/isprs-annals-x-4-w1-2022-385-2023