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10 July 2024 Aerial photography assessment method for comprehensive vegetation cover modeling in grasslands oriented towards satellite remote sensing
Longyun Que, Jinxiang Shen, Yang Liu, Jiang Bo, Yongjin Li
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Proceedings Volume 13223, Fifth International Conference on Geology, Mapping, and Remote Sensing (ICGMRS 2024); 1322309 (2024) https://doi.org/10.1117/12.3035470
Event: 2024 5th International Conference on Geology, Mapping and Remote Sensing (ICGMRS 2024), 2024, Wuhan, China
Abstract
Comprehensive vegetation cover in grasslands is a crucial indicator of grassland health and ecological balance, holding significant importance for scientifically sound grassland management and ecological environment monitoring. Satellite remote sensing inversion methods can provide full coverage for the scientific assessment of comprehensive vegetation cover in a given area. However, the sampling for inversion modeling often relies on conventional field survey methods, which are not only labor-intensive but also subject to high subjectivity, making it difficult to achieve satisfactory modeling results. This paper explores the use of multispectral low-altitude unmanned aerial vehicle (UAV) aerial photographs for sample point positioning, and employs three methods—RGB image clustering extraction, NRG image clustering extraction, and NDVI threshold extraction—to quantitatively estimate grassland comprehensive vegetation cover. The experimental results for Yuanmou County in Yunnan indicate that for areas with very high comprehensive vegetation cover, all three methods cannot achieve high assessment accuracy due to the interference of yellowed vegetation. In regions with lower comprehensive vegetation cover, NRG image clustering extraction and NDVI threshold extraction can achieve higher accuracy, with NRG images being more conducive to visual interpretation, and the NDVI threshold extraction method being simpler and more efficient.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
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Longyun Que, Jinxiang Shen, Yang Liu, Jiang Bo, and Yongjin Li "Aerial photography assessment method for comprehensive vegetation cover modeling in grasslands oriented towards satellite remote sensing", Proc. SPIE 13223, Fifth International Conference on Geology, Mapping, and Remote Sensing (ICGMRS 2024), 1322309 (10 July 2024); https://doi.org/10.1117/12.3035470
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KEYWORDS
Vegetation
Photography
Satellites
Remote sensing
Modeling
Unmanned aerial vehicles
RGB color model
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