Xinjiang Agricultural Sciences ›› 2020, Vol. 57 ›› Issue (5): 950-957.DOI: 10.6048/j.issn.1001-4330.2020.05.020

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Spectral Characteristics and Modified Vegetation Index of ihree Main Plants of Seriphidium transiliense Desert Grassland

HAN Wanqiang, JIN Guili, YUE Yonghuan, WANG Huining, GONG Ke, WU Xueer, Wulupa Ardererkali   

  1. Key Laboratory of West Arid Region Grassland Resources and Ecology /College of Pratacultural and Environmental Sciences,Xinjiang Agricultural University, Urumqi 830052, China
  • Received:2019-12-15 Published:2020-04-23
  • Correspondence author: JIN Guili( 1979-),female,Henan Lankao,Professor,Doctor,Doctoral supervisor,research direction for grassland and ecological resources,(E-mail)jguili@126.com
  • Supported by:
    Supported by the Key Lab Open Subject of Xinjiang Uygur Autonomous Region (2019D04012)

伊犁绢蒿荒漠草地3种主要植物光谱及植被指数改进

韩万强, 靳瑰丽, 岳永寰, 王惠宁, 宫珂, 吴雪儿, 吾鲁帕·阿得尔卡里   

  1. 新疆农业大学草业与环境科学学院/新疆草地资源与生态重点实验室,乌鲁木齐830052
  • 通讯作者: 靳瑰丽(1979-),女,河南兰考人,教授,博士,研究方向为草地资源与生态,(E-mail)jguili@126.com
  • 作者简介:韩万强(1994-),男,甘肃武威人,研究生,研究方向为草地资源与生态,(E-mail)287912461@qq.com
  • 基金资助:
    新疆维吾尔自治区重点实验室开放课题(2019D04012)

Abstract: 【Objective】 Seriphidium transiliense desert grassland is an important part of grassland ecosystem in Xinjiang. The study of the main plant ground spectrum and vegetation index characteristics is the basis to realize species identification, which is of great significance to obtain the change of community species composition accurately and timely, and to improve the quality and effect of grassland monitoring.【Methods】In this study, SOC 710 VP imaging spectrometer was used,hyperspectral images of desert grassland community of Seriphidium transiliense desert grassland in April were collected,Seriphidium transiliense, Ceratocarpus arenarius and Petrosimonia sibirica were extracted respectively. The spectral discrimination was improved by the transformation of reflectivity (REF), absorptivity (ABS) and its first-order differential (GREF and GABS) and the sensitive band was analyzed and screened out. Then the NDVI’ undefined value and DVI’ undefined value were calculated by the combination of each band, and the maximum vegetation index was selected by taking the NDVI value and RVI value calculated by the whole band as a reference.【Results】 (1) The spectral curves of the three main plants were similar, and the difference was mainly reflected in the spectral value. The reflectivity of the three main plants showed the characteristics of Ceratocarpus arenarius > Seriphidium transiliense > Petrosimonia sibirica > community in the visible light 400-780 nm and near infrared band 780-820 nm; (2) The spectral characteristics of the first order differential reflectivity GREF and the first order differential absorptivity GABS could be further expanded by the transformation of the reflectivity REF, absorptivity GREF and the first order differential absorptivity GABS. The relatively stable band had the blue light band 490-530 nm, green light band 510-560 nm, red light band 620-760 nm and near infrared band 780-820 nm. (3) The difference between the NDVI' and RVI' calculated by the combination of 490-530 nm and 780-820 nm bands under the GABS and ABS transformations was greater than the NDVI' and RVI' calculated in the full and other bands across the three major plants.【Conclusion】The first-order differential treatment of reflectivity and absorptivity in the sensitive band and the improvement of vegetation index can improve the recognition effect of three main plants in Seriphidium transiliense desert grassland.

Key words: Seriphidium transiliense; community species; spectral characteristics; vegetation index

摘要: 【目的】伊犁绢蒿荒漠草地是新疆草地生态系统的重要组成部分,研究其主要植物地面光谱和植被指数特征是实现物种识别的基础,准确而实时获得群落物种组成变化、提高草地监测的质量和效果。【方法】借助SOC710 VP成像光谱仪,采集4月伊犁绢蒿荒漠草地群落高光谱影像,提取伊犁绢蒿(Seriphidium transiliense)、角果藜(Ceratocarpus arenarius)、叉毛蓬(Petrosimonia sibirica)和群落的原始光谱数据,通过反射率(REF)、吸收率(ABS)及其一阶微分(GREF和GABS)的变换提高光谱辨析度,分析并筛选敏感波段;通过各波段之间的相互组合计算NDVI值和DVI值,并以全波段计算的NDVI值和RVI值作为参考,筛选出优于全波段且差值最大植被指数。【结果】(1)3种主要植物光谱曲线相近,差异主要体现在光谱值的大小,在可见光400~780 nm和近红外波段780~820 nm的反射率均表现出角果藜>伊犁绢蒿>叉毛蓬>群落的特征;(2)通过反射率REF、吸收率ABS、一阶微分反射率GREF和一阶微分吸收率GABS的变换能够进一步扩大其光谱特征,相对稳定的波段有蓝光波段490~530 nm,绿光波段510~560 nm,红光波段620~760 nm,近红外波段780~820 nm。(3)GABS和ABS变换下490~530 nm和780~820 nm波段组合计算的NDVI’和RVI’在3种主要植物间的差异大于全波段和其它波段计算的NDVI’和RVI’。【结论】对敏感波段的反射率和吸收率进行一阶微分处理,并用于改进植被指数,能够提高伊犁绢蒿荒漠3种主要植物的识别效果。

关键词: 伊犁绢蒿, 群落物种, 光谱特征, 植被指数

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