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基于无人机航拍的高寒草地生物量升尺度估算研究

黄涛 罗顺华 刘新宇 孟宝平 于红妍 王贤颖 秦彧

草业科学2026,Vol.43Issue(8):1975-1986,12.
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草业科学2026,Vol.43Issue(8):1975-1986,12.DOI:10.11829/j.issn.1001-0629.2025-0178

基于无人机航拍的高寒草地生物量升尺度估算研究

Study on upscaling estimation of aboveground biomass in alpine grasslands with unmanned aerial vehicle aerial photography

黄涛 1罗顺华 2刘新宇 1孟宝平 3于红妍 4王贤颖 4秦彧5

作者信息

  • 1. 中国科学院西北生态环境资源研究院/冰冻圈科学与冻土工程全国重点实验室,甘肃 兰州 730000||中国科学院大学,北京 101408
  • 2. 中国科学院西北生态环境资源研究院/冰冻圈科学与冻土工程全国重点实验室,甘肃 兰州 730000||甘肃农业大学草业学院,甘肃 兰州 730070
  • 3. 南通大学地理科学学院,江苏 南通 226007||南通大学脆弱生态环境研究所,江苏 南通 226007
  • 4. 祁连山国家公园青海服务保障中心,青海 西宁 810001
  • 5. 中国科学院西北生态环境资源研究院/冰冻圈科学与冻土工程全国重点实验室,甘肃 兰州 730000||中国科学院大学,北京 101408||唐古拉山冰冻圈与环境西藏自治区野外科学观测研究站/冰冻圈科学与冻土工程全国实验室/中国科学院西北生态环境资源研究院,甘肃 兰州 730000
  • 折叠

摘要

Abstract

The combination of ground surveys and multi-source satellite remote sensing inversion is an effective method to estimate grasslands aboveground biomass(AGB).However,the mismatch of vegetation parameters between quadrat and pixel scales restricts its accurate estimation.In the present study,aerial photography with unmanned aerial vehicle(UAV)was carried out across 65 long-term fixed monitoring plots in the Qilian Mountains during the peak growing season from 2023 to 2024.Within the same plots,AGB surveys were conducted at 390 quadrats.Based on Landsat pixels,aerial images,and measured AGB,the Random Forest algorithm was applied to construct an upscaling estimation model of AGB.Model estimation accuracy was verified at different scales and the spatial distribution of AGB in the Qilian Mountains was predicted.Our results showed that vegetation height could correct the saturation of fitting AGB.The upscaling estimation model of AGB had high fitting accuracy both at quadrat scale(R2=0.72,RMSE=38.77 g·m-2)and aerial photo scale(R2=0.78,RMSE=25.41 g·m-2).The predicted AGB(0-250 g·m-2)and its spatial distribution were consistent with the measured AGB.High and low AGB were predominantly distributed in the southeast and northwest of the Qilian Mountains,respectively.Our results suggested that aerial images served as the bridge between the quadrat and pixel scales for upscaling estimation model of AGB.Therefore,we concluded that UAVs could fill the spatial scale mismatch between ground samples and satellite pixels,which was conducive to improve AGB estimation accuracy.

关键词

地上生物量/随机森林/遥感反演/尺度匹配/祁连山

Key words

aboveground biomass/random forest/remote sensing inversion/scale matching/Qilian Mountains

引用本文复制引用

黄涛,罗顺华,刘新宇,孟宝平,于红妍,王贤颖,秦彧..基于无人机航拍的高寒草地生物量升尺度估算研究[J].草业科学,2026,43(8):1975-1986,12.

基金项目

中国科学院西部之光"西部青年学者"项目(xbzglzb2022022) (xbzglzb2022022)

2025年青海省财政林业和草原科技推广示范项目(QLK-2025-86) (QLK-2025-86)

2025年青海省财政国家公园专项资金项目(QLK-2025-71) (QLK-2025-71)

2025年青海省财政国家公园专项资金项目(QLB-2025-438) (QLB-2025-438)

草业科学

1001-0629

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