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基于高光谱反射特征的荒漠类型可分性评价

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本研究采用裸土高光谱反射曲线细节所提取的特征变量评价不同荒漠类型可分性,选择石羊河下游盐漠、砾漠、泥漠和沙漠为研究对象,运用累积差值、一阶微分、包络线去除、植被指数计算、主成分分析法等,辨别不同荒漠类型的高光谱反射特征,提取关键分类变量,量化不同荒漠类型区分度。结果表明:(1)各荒漠类型在446~600 nm和2150~2285 nm处存在差异明显的吸收谷。(2)Carter指数1、绿度指数(GI)、绿色归一化植被指数(GND-VIh2)等在不同荒漠类型间存在显著差异。(3)改进叶绿素吸收指数(MCARI)、土壤调整植被指数(SAVI)、2265 nm与1790~1810 nm反射率在主成分指标构建中的权重值较大。(4)各荒漠类型区分度:沙漠&盐漠>沙漠&泥漠>泥漠&盐漠>砾漠&盐漠>沙漠&砾漠>泥漠&砾漠。研究结果可为西北干旱区荒漠遥感监测提供地面验证和数据支持。
Class separability evaluation of desert types based on the hyperspectral reflectance characteristics
Few studies have used the characteristic variables extracted from the details of the hyperspectral reflec-tance curves of bare soil to evaluate the separability of various desert types.In this study,salt desert,gravel des-ert,mud desert,and desert in the lower reaches of the Shiyang River were used as the research objects,and cumu-lative difference,first-order differentiation,continuum removal,vegetation index calculation and principal compo-nent analysis were used to identify the hyperspectral reflectance features of various desert types,extract the key categorical variables,and quantify the degree of differentiation of various desert types.The results showed that(1)the absorption valleys at 446-600 nm and 2150-2285 nm differed significantly among the desert types.(2)the Carter index 1,Greenness Index,and Green NDVI hyper 2 differed significantly among the desert types.(3)The Modified Chlorophyll Absorption Ratio Index,Soil Adjusted Vegetation Index,and 2265 nm and 1790-1810 nm reflectance had larger weight values in constructing the principal component indexes;and(4)the differentiation index of each desert type:desert&salty desert>desert&muddy desert>muddy&salty desert>gravelly&salty desert>desert&gravelly desert>mud&gravelly desert.These findings provide ground verification and data sup-port for the remote sensing monitoring of deserts in the northwest Arid Zone.

desert soilhyperspectral feature bandfeature extractionprincipal component analysisclass separability

刘志飞、杨雪梅、王景瑞、黄轲盼、徐浩杰

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兰州大学草种创新与草地农业生态系统全国重点实验室,农业农村部草牧业创新重点实验室,草地农业教育部工程研究中心,草地农业科技学院,甘肃 兰州 730020

兰州文理学院旅游学院,甘肃 兰州 730010

甘肃省治沙研究所,甘肃 兰州 730070

兰州大学资源环境学院,甘肃 兰州 730000

兰州大学寒旱区生态环境遥感研究中心,甘肃 兰州 730000

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荒漠土壤 高光谱特征波段 特征提取 主成分分析 类别可分性

2025

干旱区研究
中国科学院新疆生态与地理研究所 中国土壤学会

干旱区研究

北大核心
影响因子:1.157
ISSN:1001-4675
年,卷(期):2025.42(1)