Integrating Vegetation Indices and Texture Features from UAV multispectral image for Non-destructive Peanut Aboveground Biomass Estimation

Hu, Liya; Tan, Yueyang; Liu, Dandan; Song, Mingxuan; Liu, Yirou; Yang, Juntao; Li, Zhenhai; Bai, Bo; Li, Guowei

doi:https://doi.org/10.5194/isprs-annals-X-1-W2-2025-67-2025

Articles | Volume X-1/W2-2025

https://doi.org/10.5194/isprs-annals-X-1-W2-2025-67-2025

© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/isprs-annals-X-1-W2-2025-67-2025

© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume X-1/W2-2025

03 Nov 2025

| 03 Nov 2025

Integrating Vegetation Indices and Texture Features from UAV multispectral image for Non-destructive Peanut Aboveground Biomass Estimation

Liya Hu, Yueyang Tan, Dandan Liu, Mingxuan Song, Yirou Liu, Juntao Yang, Zhenhai Li, Bo Bai, and Guowei Li

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High-throughput plant height measurement for the field peanuts from low-cost UAV photogrammetry

Mingxuan Song, Yutao Zhang, Liya Hu, Yirou Liu, Juntao Yang, Zhenhai Li, Bo Bai, and Guowei Li

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-1-W2-2025, 133–138, https://doi.org/10.5194/isprs-annals-X-1-W2-2025-133-2025,https://doi.org/10.5194/isprs-annals-X-1-W2-2025-133-2025, 2025

The International Society for Photogrammetry and Remote Sensing is a non-governmental organization devoted to the development of international cooperation for the advancement of photogrammetry and remote sensing and their applications. The Society operates without any discrimination on grounds of race, religion, nationality, or political philosophy.

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