Impacts of aggregation method on the simulation of multispectral broadband reflectance

Feng Chen; Guanghao Yu; Zhibin Gao; Yuejun Song

doi:10.1117/12.3020778

23 January 2024 Impacts of aggregation method on the simulation of multispectral broadband reflectance

Feng Chen, Guanghao Yu, Zhibin Gao, Yuejun Song

Proceedings Volume 12978, Fourth International Conference on Geology, Mapping, and Remote Sensing (ICGMRS 2023); 129780I (2024) https://doi.org/10.1117/12.3020778
Event: 2023 4th International Conference on Geology, Mapping and Remote Sensing (ICGMRS 2023), 2023, wuhan, China

Abstract

Simulation of multispectral broadband data from hyperspectral profiles is applicable for many purposes, mainly including sensor assessment and cross-calibration. For the simulation process, several aggregation methods have been proposed. In this paper, three aggregation methods were implemented, to investigate the impacts associated with method on the simulation of multispectral broadband. Comparative analyses were conducted in terms of channel reflectance and several derived vegetation indices, while mainly taking the wide field of view (WFV) sensor onboard Gaofen-6 for case study. Furthermore, impacts on the between-sensor comparability with the Landsat 8 Operational Land Imager (OLI) were discussed. Differences among aggregation methods in reflectance of the Gaofen-6 WFV varied along with channels, and obvious differences were observed in channels over near-infrared (770–890 nm) and red-edge (690–730 nm). Between-sensor difference relative to the Landsat 8 OLI was observed mainly over near-infrared, while the variations among aggregation methods were about 0.4%-2.0%.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Feng Chen, Guanghao Yu, Zhibin Gao, and Yuejun Song "Impacts of aggregation method on the simulation of multispectral broadband reflectance", Proc. SPIE 12978, Fourth International Conference on Geology, Mapping, and Remote Sensing (ICGMRS 2023), 129780I (23 January 2024); https://doi.org/10.1117/12.3020778

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