High spatial-resolution has little impact on NDVI mean value of UAV-based individual tree-level  mapping: evidence from 9 field tests and implications

Haoyu Niu; YangQuan Chen

doi:10.1117/12.2599487

12 September 2021 High spatial-resolution has little impact on NDVI mean value of UAV-based individual tree-level mapping: evidence from 9 field tests and implications

Haoyu Niu, YangQuan Chen

Author Affiliations +

Proceedings Volume 11862, Image and Signal Processing for Remote Sensing XXVII; 118620X (2021) https://doi.org/10.1117/12.2599487
Event: SPIE Remote Sensing, 2021, Online Only

Conference Poster

Abstract

The normalized difference vegetation index (NDVI) has been commonly used for vegetation monitoring, such as water stress detection, crop yield assessment, and evapotranspiration estimation. However, the influence of spatial resolution on the individual tree level NDVI using the Unmanned Aerial Vehicles (UAVs) is poorly understood. Therefore, in this research, the effects of the spatial resolution of UAV imagery are investigated using high-resolution multispectral images. A temporal sequence of UAV multispectral imagery was collected over an experimental pomegranate field, capturing variations in the whole growing season of 2019, at the USDAARS (U.S. Department of Agriculture, Agricultural Research Service) San Joaquin Valley Agricultural Sciences Center in Parlier, California, USA. The NDVI distribution of individual trees was generated at the 60 m, 90 m, and 120 m spatial resolution. Experimental results indicated how the spatial resolution of UAV imagery could affect NDVI values of individual trees.

Conference Presentation

Citation Download Citation

Haoyu Niu and YangQuan Chen "High spatial-resolution has little impact on NDVI mean value of UAV-based individual tree-level mapping: evidence from 9 field tests and implications", Proc. SPIE 11862, Image and Signal Processing for Remote Sensing XXVII, 118620X (12 September 2021); https://doi.org/10.1117/12.2599487

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