干旱区研究

干旱区研究 >

2018 , Vol. 35 >Issue 3: 532 - 539

DOI: https://doi.org/10.13866/j.azr.2018.03.05

水土资源

基于植被光谱和FY-3A/VIRR L1B数据的藏北地区土壤水分估算

  • 王凤杰 ,
  • 冯文兰 ,
  • 扎西央宗 ,
  • 牛晓俊 ,
  • 刘志红 ,
  • 王永前
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  • 1.成都信息工程大学资源环境学院,四川 成都 610225;
    2.西藏高原大气环境科学研究所,西藏 拉萨 850000
王凤杰(1990-),女,硕士研究生,研究方向为3S集成与气象应用. E-mail:wangfengjie5006@163.com
冯文兰. E-mail: fwl@cuit.edu.cn

收稿日期: 2017-08-12

  修回日期: 2018-01-08

  网络出版日期: 2025-11-17

基金资助

国家自然科学基金项目(41465006,41301653,41631180);四川省教育厅项目(16TD0024,18ZA0110)资助

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Estimation of Soil Moisture Content in North Tibet Based on Vegetation Spectra and FY-3A/VIRR L1B Data

  • WANG Feng-jie ,
  • FENG Wen-lan ,
  • Zhaxiyangzong ,
  • NIU Xiao-jun ,
  • LIU Zhi-hong ,
  • WANG Yong-qian
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  • 1. College of Resources and Environment Sciences,Chengdu University of Information Technology,Chengdu 610225,Sichuan,China;
    2. Tibet Institute of Plateau Atmospheric and Environmental Sciences,Lhasa 850000,Tibet,China

Received date: 2017-08-12

  Revised date: 2018-01-08

  Online published: 2025-11-17

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摘要

为了实现对藏北地区土壤水分和干旱情况的动态监测,基于藏北植被光谱、实测20 cm土壤水分以及FY-3A/VIRR数据,利用相关性筛选出对土壤水分敏感的植被光谱波段构建植被指数,并以此建立土壤水分估算模型,再结合FY-3A/VIRR L1B数据将建立的模型应用于藏北地区的土壤水分估算,通过比较决定系数和RMSE,确定精度较高的藏北地区土壤水分遥感估算模型。研究表明:NDVI(620,850)、EVI(450,620,850)、NDWI(850,1 330)和RVI(850,1 330)与实测20 cm土壤水分的决定系数分别为0.232、0.256、0.537和0.554,都能较好地表征土壤水分,分别利用每个指数建立的二次模型所获得的土壤水分估算结果与实测数据的RMSE均较小;以FY-3A/VIRR数据为基础,模型MNDVI和MEVI能够有效的估算藏北土壤水分,模拟值与实测值的相关系数r分别为0.50和0.51,RMSE分别为0.13和0.11,模型都可实现对藏北地区土壤水分的估算。研究可为掌握藏北地区土壤水分状况和制定农牧业发展决策提供依据。

关键词： 土壤水分; 植被光谱; 植被指数; FY-3A/VIRR; 藏北地区

本文引用格式

王凤杰 , 冯文兰 , 扎西央宗 , 牛晓俊 , 刘志红 , 王永前 . 基于植被光谱和FY-3A/VIRR L1B数据的藏北地区土壤水分估算[J]. 干旱区研究, 2018 , 35(3) : 532 -539 . DOI: 10.13866/j.azr.2018.03.05

Abstract

In order to dynamically monitor soil moisture content and drought in north Tibet,this study tried to build a model to estimate soil moisture content.The model was based on the measured data of soil moisture content and vegetation indexes sensitive to soil moisture content.Firstly,the sensitive bands of soil moisture content were screened out through correlation analysis between the hyper-spectral reflectance and the first-order differential reflectivity with soil moisture content.The sensitive spectral parameters of soil moisture content were identified through establishing vegetation indices,including the ratio vegetation index RVI (850,1 330),normalized difference water index NDWI (850,1 330),enhanced vegetation index EVI (450,620,850) and normalized difference vegetation index NDVI (620,850).Secondly,the estimation model was established based on the data of soil moisture content and the vegetation indices from the measured hyperspectral values.Thirdly,the FY-3A/VIRR L1B data were preprocessed,including the atmospheric correction and geometric correction,and then the vegetation indexes were calculated.Finally,the vegetation indices of FY-3A/VIRR data were replaced by the vegetation indices from the measured hyperspectral values in the estimation model.In order to find the best estimation model,the model accuracy was judged by the determination coefficient (R2) and the root mean square error (RMSE).The results showed that all the indexes could be used to reflect the soil moisture content.The correlation coefficients between the NDVI (620,850),EVI (450,620,850),NDWI (850,1 330),RVI (850,1 330) and the soil water content were 0.232,0.256,0.537 and 0.554 respectively.Then,the corresponding models of estimating soil moisture content were established based on these indexes.Among them the best estimated results were obtained using the quadratic model because of the higher R2 and lower RMSE.The vegetation indices of FY-3A/VIRR data were brought into the model of estimating soil moisture content,the accuracy of MNDVI and MEVI for estimating soil moisture content was similar.The r values were 0.50 and 0.51,and the RMSE ones were 0.13 and 0.11,respectively.The results showed that the model MNDVI and MEVI could be used to effectively estimate soil moisture content in north Tibet.This study could provide a new method for the field hyperspectral estimation of soil moisture content in north Tibet,may be feasible to carry out the remote sensing monitoring of soil moisture content,and could also be referred in the further improvement of the accuracy of quantitative remote sensing monitoring of soil moisture content in different areas.

Key words： soil moisture content; vegetation spectra; vegetation index; FY-3A/VIRR; north Tibet

参考文献

〔1〕 何其华,何永华,包维楷.干旱半干旱区山地土壤水分动态变化〔J〕.山地学报,2003,21(2):149-156.〔He Qihua,He Yonghua,Bao Weikai.Research on dynamics of soil moisture in arid and semiarid mountainous areas〔J〕.Journal of Mountain Science,2003,21(2):149-156.〕
〔2〕 刘志明,张柏,晏明,等.土壤水分与干旱遥感研究的进展与趋势〔J〕.地球科学进展,2003,18(4):576-583.〔Liu Zhiming,Zhang Bo,Yan Ming,et al.Some research advances and trends on soil moisture and drought monitoring by remote sensing〔J〕.Advance in Earth Sciences,2003,18(4):576-583.〕
〔3〕 Price J C.On the ananlysis of thermal infr-ared imagery:The limited utility of apparentthermal inertial〔J〕.Remote Sensing Environment,1985,18(1):59.
〔4〕 Carlson T N,Gillies R R,Perry E M.A method to make use of thermal infrared temperature and NDVI measurements to infer surface soil water content and fractional vegetation cover〔J〕.Remote Sensing Reviews,1994,9(1/2):161-173.
〔5〕 杨绍锷,闫娜娜,吴炳方.农业干旱遥感监测研究进展〔J〕.遥感信息,2010,33(1):103-109.〔Yang Shao’e,Yan Nana,Wu Bingfang.Advances in agricultural drought monitoring by remote sensing 〔J〕.Remote Sensing Information,2010,33(1):103-109.〕
〔6〕 刘焕军,张柏,宋开山,等.黑土土壤水分光谱响应特征与模型〔J〕.中国科学院研究生院,2008,25(4):503-509.〔Liu Huanjun,Zhang Bo,Song Kaishan,et al.Soil moisture spectral analysis and its spectral model 〔J〕.Journal of the Graduate School of the Chinese Academy of Sciences,2008,25(4):503-509.〕
〔7〕 Liu W,Baret F,Gu X F,et al.Evaluation of methods for soil surface moisture estimation from reflectance data〔J〕.International Journal of Remote Sensing,2003,24:2 069-2 083.
〔8〕 李美婷,武红旗,蒋平安,等.利用土壤的近红外光谱特征测定土壤含水量〔J〕.光谱学与光谱分析,2012,32(8):2 117-2 121.〔Li Meiting,Wu Hongqi,Jiang Ping’an,et al.Measuring soil water content by using near infrared spectral characteristics of soil〔J〕.Spectroscopy and Spectral Analysis,2012,32(8):2 117-2 121.〕
〔9〕 徐希孺,周莲芳,朱晓红.混合像元的因子分析方法及其在大范围冬小麦播种面积估算中的应用探讨〔J〕.科学通报,1989,34(12):946-949.〔Xu Xiru,Zhou Lianfang,Zhu Xiaohong.Factor analysis method of mixedpixeland itsapplication in the estimation of winter wheat sown area in large scale 〔J〕.Chinese Science Bulletin,1989,34(12):946-949.〕
〔10〕Jordan C F.Derivation of leaf area index from quality of light on the forest floor〔J〕.Ecology,1969,50:663-666.
〔11〕Chen S P.Dictionary of Remote Sensing〔M〕.Beijing:Science Pre-ss,1990:382-383.
〔12〕Huete A R,Liu H Q,Batchily,et al.Acomparison of vegetation indices over a global set of TM images for EOS-MODIS〔J〕.Remote Sensing of Environment,1997,59(3):440-451.
〔13〕Hunt E R Jr,Rock B N.Detectionof changes in leaf water content using near and middle-infrared reflectances〔J〕.Remote Sensing of Environment,1989,30(1):43-54.
〔14〕Gao B C.NDWI:A normalized difference water index for remote sensing of vegetation liquid water from space〔J〕.Remote Sensing of Environment,1996,58(3):257-266.
〔15〕Hosseini M,Saradjian M R.Soil moisture estimation in a vegetated area using combination of AIRSAR and Landsat 5 TM images〔J〕.Indian Society of Remote Sensing,2014,42(4):719-726.
〔16〕李建龙,蒋平,刘培君,等.利用遥感光谱法进行农田土壤水分遥感动态监测〔J〕.生态学报,2003,23(8):1 498-1 504.〔Li Jianlong,Jiang Ping,Liu Peijun,et al.The study on dynamic monitoring soil water contents using remote sensing optical method〔J〕.Acta Ecologica Sinica,2003,23(8):1 498-1 504.〕
〔17〕吴海龙,余新晓,张振明,等.基于多种植被指数的土壤含水量估算方法〔J〕.光谱学与光谱分析,2014,34(6):1 615-1 618.〔Wu Hailong,Yu Xinxiao,Zhang Zhenming,et al.Soil moisture estimation model based on multiple vegetation index〔J〕.Spectroscopy and Spectral Analysis,2014,34(6):1 615-1 618.〕
〔18〕李相,丁建丽.基于实测高光谱指数与HSI影像指数的土壤含水量监测〔J〕.农业工程学报,2015,31(19):68-75.〔Li Xiang,Ding Jianli.Soil moisture monitoring based on measured hyperspectral index and HIS image index〔J〕.Transactions of the Chinese Society of Agricultural Engineering,2015,31(19):68-75.〕
〔19〕李晨,张国伟,周治国,等.滨海盐土土壤水分的高光谱参数及估测模型〔J〕.应用生态学报,2016,27(2):525-531.〔Li Chen,Zhang Guowei,Zhou Zhiguo,et al.Hyperspectral parameters and prediction model of soil moisture in coastal saline〔J〕.Chinese Journal of Applied Ecology,2016,27(2):525-531.〕
〔20〕高中灵,王建华,郑小坡,等.ADI土壤水分反演方法〔J〕.光谱学与光谱分析,2016,36(5):1 378-1 381.〔Gao Zhongling,Wang Jianhua,Zheng Xiaopo,et al.Soil moisture monitoring based on angle dryness index〔J〕.Spectroscopy and Spectral Analysis,2016,36(5):1 378-1 381.〕
〔21〕宋春桥,游松财,柯灵红,等.藏北高原土壤湿度MODIS遥感监测研究〔J〕.土壤通报,2012,43(2):294-300.〔Song Chunqiao,You Songcai,Ke Linghong,et al.The study of MODIS remote sensing for monitoring soil moisture over Northern Tibetan Plateau 〔J〕.Chinese Journal of Soil Science,2012,43(2):294-300.〕
〔22〕刘淑珍,周麟,仇崇善,等.西藏自治区那曲地区草地退化沙化研究〔M〕.拉萨:西藏人民出版社,1999.〔Liu Shuzhen,Zhou Lin,Qiu Chongshan,et al.Study on Desertification in Tibet Autonomous Region Naqu Grassland Degradation〔M〕.Lasha:Tibet People’s Press,1999.〕
〔23〕王晓军,程绍敏.西藏主要气候特征分析〔J〕.高原山地气象研究,2009,29(4):81-84.〔Wang Xiaojun,Cheng Shaomin.Analysisof major climate characteristics in Tibet〔J〕.Plateau and Mountain Meteorology Research,2009,29(4):81-84.〕
〔24〕奚小环.青藏高原区域化探方法技术研讨会议在成都举行〔J〕.物探与化探,2008,32(2):232-232.〔Xi Xiaohuan.Geochemical exploration technology seminar on Qinghai Tibet Plateau in Chengdu〔J〕.Geophysical and Geochemical Exploration ,2008,32(2):232-232.〕
〔25〕谢瀚,李爱农,汤家法,等.山地地表覆被野外采样系统研究及应用〔J〕.遥感技术与应用,2016,31(3):430-437.〔Xie Han,Li Ainong,Tang Jiafa,et al.Research and application on the field sampling software of the land use and land cover in themountainous area〔J〕.Remote Sensing Technology and Application,2016,31(3):430-437.〕
〔26〕潘佩芬.生态水信息指标参数植被含水量遥感反演模型研究〔D〕.成都:成都理工大学,2011.〔Pan Peifen.Remotely Sensing Retrieval Model of Vegetation Moisture Content of Eco-Water Parameters:A Case Study in Maoergai of Minjiang River’ Upstream〔D〕.Chengdu:Chengdu University of Technology,2011.〕
〔27〕秦占飞,常庆瑞,谢宝妮,等.基于无人机高光谱影像的引黄灌区水稻叶片全氮含量估测〔J〕.农业工程学报,2016,32(23):77-85.〔Qi Zhanfei,Chang Qingrui,Xie Baoni,et al. Rice leaf nitrogen content estimation based on hysperspectral imagery of UAV in YellowRiver divers ion irrigation district〔J〕.Transactions of the Chinese Society of Agricultural Engineering,2016,32(23):77-85.〕
〔28〕张淼,蒙继华,李强子,等.基于 HJ-1B 数据的冬小麦留茬覆盖度遥感估算〔J〕.农业工程学报,2011,27(增刊 1):352-357.〔Zhang Miao,Meng Jihua,Li Qiangzi,et al.Estimation of winter wheat residue cover with HJ-1B Data 〔J〕.Transactions of the CSAE,2011,27(Suppl.1):352-357.〕
〔29〕王兆礼,黄泽勤,李军,等.基于 SPEI 和 NDVI 的中国流域尺度气象干旱及植被分布时空演变〔J〕.农业工程学报,2016,32(14):177-186.〔Wang Zhaoli,Huang Zeqin,Li Jun,et al.Assessing impacts of meteorological drought on vegetation at catchment scale in China based on SPEI and NDVI〔J〕.Transactions of the Chinese Society of Agricultural Engineering,2016,32(14):177-186.〕
〔30〕李海亮,戴声佩,陈帮乾,等.基于 HJ-1A/1B 数据的天然橡胶干旱监测 〔J〕.农业工程学报,2016,32(23):176-182.〔Li Hailiang,Dai Shengpei,Chen Bangqian,et al.Monitoring droughtcondition based on HJ-1A/1B data in natural rubber plantation〔J〕.Transactions of the Chinese Society of Agricultural Engineering,2016,32(23):176-182.〕
〔31〕刘小磊,覃志豪.NDWI与NDVI指数在区域干旱监测中的比较分析:以2003年江西夏季干旱为例〔J〕.遥感技术与应用,2007,22(5):608-612.〔Liu Xiaolei,Qin Zhihao.Comparati veanalysis between NDWI and NDVI indices in regional drought monitoring〔J〕.Remote Sensing Technology and Application,2007,22(5):608-612.〕
〔32〕王先伟,刘梅,柳林.MODIS光谱指数在中国西南干旱监测中的应用〔J〕.遥感学报,2014,18(2):432-452.〔Wang Xianwei,Liu Mei,Liu Lin.Resposes of MODIS spectral indices to typical drought eventsfrom 2000 to 2012 in Southwest China〔J〕.Journal of Remote Sensing,2014,18(2):432-452.〕
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