新疆有无人为干扰下土壤盐分估算的比较

doi:10.13866/j.azr.2019.02.07

干旱区研究 ›› 2019, Vol. 36 ›› Issue (2): 323-330.doi: 10.13866/j.azr.2019.02.07

新疆有无人为干扰下土壤盐分估算的比较

王宁¹, 熊黑钢², 马利芳¹, 叶红云¹, 张芳¹

1.新疆大学资源与环境科学学院,绿洲生态教育部重点实验室,新疆乌鲁木齐 830046;
2.北京联合大学应用文理学院,北京 100083

收稿日期:2018-06-19 修回日期:2018-10-29 发布日期:2025-10-18
通讯作者: 熊黑钢. E-mail: heigang@buu.edu
作者简介:王宁(1993-),女,硕士,主要研究方向为干旱区资源环境与遥感分析. E-mail: 624405709@qq.com
基金资助:
国家自然科学基金(41671198,41761041);北京市教委创新团队(IDHT20180515)

Estimation and Comparison of Soil Salinity under Different Intensities of Human Disturbance in Xinjiang

WANG Ning¹, XIONG Hei-gang², MA Li-fang¹, YE Hong-yun¹, ZHANG Fang¹

1. College of Resources and Environment Sciences, Xinjiang University, Urumqi 830046, Xinjiang,China;
2. College of Arts and Science, Beijing Union University, Beijing 100083,China

Received:2018-06-19 Revised:2018-10-29 Online:2025-10-18

摘要/Abstract

摘要： 以新疆有无人为干扰土壤的实测光谱为数据源,利用去包络线法提取其吸收特征和敏感波段,建立了多种基于去包络线法的土壤盐分估算的一元、多元线性回归模型。结果表明:① 去包络线法能明显增强土壤光谱在400~610 nm和610~800 nm波段的吸收特征;② 有/无人为干扰区土壤盐分含量与去包络线一阶微分的相关性较好,敏感波段在无人为干扰区集中于可见光区(400~800 nm),而人为干扰区为可见光-近红外区(400~2 400 nm);③ 土壤盐分值预测模型精度从高到低在有/无人为干扰区基本上是:去包络线6个吸收特征模型>去包络线和去包络线一阶微分敏感波段模型>去包络线3个吸收特征模型>单个吸收特征模型。有/无人为干扰区最佳预测模型的R²分别为0.86和0.92。无人干扰区最优模型(6个吸收特征)的相对分析误差(RPD)达到了3.06,大于3,说明其能极好并且稳定的预测此区土壤盐分值。

关键词: 人为干扰, 去包络线法, 土壤盐分, 高光谱, 新疆

Abstract: Soil spectra under different intensities of human disturbance were used as the data sources to extract the absorption characteristics and sensitive bands by the continuum removal method. Linear regressions were established for estimating soil salinity based on the continuum removal method. The results showed that: ① The continuum removal method could be used to significantly enhance the absorption characteristics of soil spectra in wavelength bands of 400-610 nm and 610-800 nm; ② The correlation between soil salt content in the manned/unmanned disturbance area and the first derivative of the continuum removal (FDCR) was better than continuum removal (CR), the sensitive bands were concentrated in the Vis area in the unattended area (400-800 nm), and the artificially disturbed area was Vis-NIR (400-2 400 nm); ③ Basically, the accuracy of the models for predicting soil salinity in the manned/unmanned disturbance area was in an order of 6 absorption characteristic models of continuum removal>sensitive band model of CR and FDCR>3 absorption characteristic models of continuum removal>single absorption feature model. The values of R² of the best predictive model of the manned/unmanned disturbance regions were 0.86 and 0.92, respectively. The value of the optimal model of relative percent deviation for the unmanned disturbed zone reached 3.06 and higher than 3, which revealed that the model was excellent and stable in predicting soil salinity in this area.

Key words: human disturbance, spectral continuum removal, soil salinity, hyperspectrum, Xinjiang

王宁, 熊黑钢, 马利芳, 叶红云, 张芳. 新疆有无人为干扰下土壤盐分估算的比较[J]. 干旱区研究, 2019, 36(2): 323-330.

WANG Ning, XIONG Hei-gang, MA Li-fang, YE Hong-yun, ZHANG Fang. Estimation and Comparison of Soil Salinity under Different Intensities of Human Disturbance in Xinjiang[J]. Arid Zone Research, 2019, 36(2): 323-330.

参考文献

[1] Metternicht G I,Zinck J A.Remote sensing of soil salinity:Potentials and constraints[J].Remote Sensing of Environment,2003,85(1):1-20.
[2] 王巧焕,卢玉东,赛佳美,等.干旱区绿洲土壤盐分特征[J].干旱区研究,2018,35(3):503-509.
[Wang Qiaohuan ,Lu Yudong,Sai Jiamei,et al.Characteristics of soil salinity in oasis in arid regions[J].Arid Zone Research,2018,35(3):503-509.]
[3] 刘梅先,杨劲松.土壤盐分的原位测定方法[J].土壤,2011,43(5):688-697.
[Liu Meixian,Yang Jinsong.In-situ determination methods for soil salinity[J].Soil,2011,43(5):688-697.]
[4] 李建国,濮励杰,朱明,等.土壤盐渍化研究现状及未来研究热点[J].地理学报,2012,67(9):1233-1245.
[Li Jianguo,Pu Lijie,Zhu Ming,et al.The present situation and hot issues in the salt-affected soil research[J].Arid Land Geography,2012,67(9):1233-1245.]
[5] Abrol I P,Yadav J S P,Massoud F I.Salt-Affected Soils and Their Management[M].Rome: FAO Soils Bulletin,1988.
[6] Dehaan R L,Taylor G R.Field-derived spectra of salinized soils and vegetation as indicators of irrigation-induced soil salinization[J].Remote Sensing of Environment,2002,80(3):406-417.
[7] Walter C,McBratney A B,Douaoui C A,et al.Spatial prediction of topsoil salinity in the chelif valley,algeria,using local ordinary kriging with local variograms versus whole-area varingram[J].Austraalian Joumal of Soil Research,2001,39(2):259-272.
[8] 刘迁迁,苏里坦,刘广明,等.伊犁河谷察南灌区土壤盐分空间变异研究[J].干旱区研究,2017,34(5):980-985.
[Liu Qianqian,Su Litan,Liu Guangming,et al.Spatial variation of soil salinity in the Chanan irrigated avea in the Iili River Valley[J].Arid Zone Research,2017,34(5):980-985.]
[9] 王芳芳,吴世新,乔木,等.基于3S技术的新疆耕地盐渍化状况调查与分析[J].干旱区研究,2009,26(3):366-371.
[Wang Fangfang,Wu Shixin,Qiao Mu,et al.Investigation and analysis of Xinjiang salinization status based on 3S technology[J].Arid Zone Research,2009,26(3):366-371.]
[10] 李晓明,韩霁昌,李娟.典型半干旱区土壤盐分高光谱特征反演[J].光谱学与光谱分析,2014,34(4):1081-1084.
[Li Xiaoming,Han Jichang,Li Juan.Research on hyperspectral inversion of soil salinity in typical semiarid area[J].Spectroscopy and Spectral Analysis,2014,34(4):1081-1084.]
[11] 段鹏程,熊黑钢,李荣荣,等.不同干扰程度的盐渍土与其光谱反射特征定量分析[J].光谱学与光谱分析,2017,37(2):571-576.
[Duan Pengcheng,Xiong Heigang,Li Rongrong.A quantitative anlysis of the reflectance of the saline soil under different disturbance extent[J].Spectroscopy and Spectral Analysis,2017,37(2):571-576.]
[12] 彭杰,迟春明,向红英,等.基于连续统去除法的土壤盐分含量反演研究[J].土壤学报,2014,51(3):459-469.
[Peng Jie,Chi Chunming,Xiang Hongying.Inversion of soil salt content based on continuum removal method[J].Acta Pedologia Sinica,2014,51(3):459-469.]
[13] 庄伟伟,张元明.生物结皮对荒漠草本植物群落结构的影响[J].干旱区研究,2017,34(6):1338-1344.
[Zhuang Weiwei,Zhang Yuanming.Effects of biological crust on community structure of desert herbs[J].Arid Zone Research,2017,34(6):1338-1344.]
[14] 王遵亲,祝寿泉,余仁培,等.中国盐渍土[M].北京:科学出版社,1993.
[Wang Zunqin,Zhu Shouquan,Yu Rentei,et al.Chinese Saline Soil[M].Beijing:Science Press,1993.]
[15] 毛海涛,黄庆豪,龙顺江,等.土壤盐渍化治理防护毯的研发及试验[J].农业工程学报,2015,31(17):121-127.
[Mao Haitao,Huang Qinghao,Long Shunjiang,et al.Design and experiment of protective blanket for soil salinization control[J].Transactions of the Chinese Society of Agricultural Engineering,2015,31(17):121-127.]
[16] 季耿善,徐彬彬.土壤粘土矿物反射特性及其在土壤学上的应用[J].土壤学报,1987,24(1):67-76.
[Ji Gengshan,Xu Binbin.Reflectance of soil clay minerals and its application in pedology[J].Acta Pedologica Sinica,1987,24(1):67-76.]
[17] 浦瑞良,宫鹏.高光谱遥感及其应用[M].北京:高等教育出版社,2000.
[Pu Ruiliang,Gong Peng.Hyperspectral Remote Sensing and Its Application[M].Beijing:Higher Education Press,2000.]
[18] Saeys W,Mouazen A M,Ramon H.Potential for onsite and online analysis of pig manure using visible and near infrared reflectance spectroscopy[J].Biosystem Engineering,2005,91(4):393-402.

新疆有无人为干扰下土壤盐分估算的比较

Estimation and Comparison of Soil Salinity under Different Intensities of Human Disturbance in Xinjiang

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