基于高光谱反射特征的荒漠类型可分性评价
收稿日期: 2024-08-14
修回日期: 2024-10-21
网络出版日期: 2025-01-17
基金资助
国家重点研发计划(2020YFA0608401);国家自然科学基金(32060373);甘肃省自然科学基金项目(22JR5RA766);甘肃省自然科学基金项目(23JRRA1048);中央高校基本科研业务费专项资金(lzujbky-2022-27)
Class separability evaluation of desert types based on the hyperspectral reflectance characteristics
Received date: 2024-08-14
Revised date: 2024-10-21
Online published: 2025-01-17
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(GNDVIh2)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。
刘志飞 , 杨雪梅 , 王景瑞 , 黄轲盼 , 徐浩杰 . 基于高光谱反射特征的荒漠类型可分性评价[J]. 干旱区研究, 2025 , 42(1) : 141 -153 . DOI: 10.13866/j.azr.2025.01.13
Few studies have used the characteristic variables extracted from the details of the hyperspectral reflectance curves of bare soil to evaluate the separability of various desert types. In this study, salt desert, gravel desert, mud desert, and desert in the lower reaches of the Shiyang River were used as the research objects, and cumulative difference, first-order differentiation, continuum removal, vegetation index calculation and principal component 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 support for the remote sensing monitoring of deserts in the northwest Arid Zone.
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