0.05 且達(dá)到極顯著水平( p 值小于0.01)的最優(yōu)光譜指數(shù)是可見(jiàn)-紅外鹽分指數(shù)、擴(kuò)展差值植被指數(shù)、歸一化差異水體指數(shù)、非線性指數(shù)、S6鹽分指數(shù)、亮度指數(shù)、衛(wèi)星B8A波段的反射率、INT2鹽分指數(shù)、優(yōu)化土壤調(diào)整植被指數(shù)、土壤調(diào)節(jié)植被指數(shù)、增強(qiáng)型植被指數(shù)、SI3鹽分指數(shù)、擴(kuò)展比值植被指數(shù)、鹽分指數(shù)、大氣阻抗植被指數(shù)、S5鹽分指數(shù);土壤鹽分遙感反演模型的驗(yàn)證決定系數(shù)、平均相對(duì)誤差分別為0.77、0.36,模型可以較為準(zhǔn)確地預(yù)測(cè)研究區(qū)鹽漬化狀況;研究區(qū)由非鹽漬土、輕度鹽漬土和中度鹽漬土組成,其中非鹽漬土中鹽分質(zhì)量比小于 0.2g/kg 的面積占比最大,為 50.43% ,輕度鹽漬土和中度鹽漬土呈現(xiàn)零散分布,主要分布在非種植區(qū),與實(shí)地調(diào)查結(jié)果一致;不同土地利用-覆被類型的土壤鹽分含量均值差異明顯,鹽分含量均值由大到小的土地利用-覆被類型的排序?yàn)辂}荒地、荒地-夏玉米地、林地、冬小麥-夏玉米地、水稻田。-龍?jiān)雌诳W(wǎng)" />

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黃河三角洲引黃灌區(qū)土壤鹽分遙感反演及空間分布特征

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Remote Sensing Inversion and Spatial Distribution Characteristics of Soil Salinity in the Yellow River Irrigation Area of the Yellow River Delta

QI Zhaishuo,F(xiàn)U Xin, ZHANG Haoran,HUANG Jin,PANG Guibin,XU Zhenghe(Schoolof Water Conservancyand Environment,Universityof Jinan,Jinan 25oo22,Shandong,China)

Abstract:To accurately graspthespatialdistributioncharacteristicsofsoilsalinityintheYellowRiverDelta rrigationarea, Kendong Irrigation District in Binzhou City,Shandong Provincewas chosenas thestudyarea,basedonthe soilsalinitydata fromfield surveyand Sentinel-2B multispectralremotesensing data,thespectral indices thathada strong explanatory powerof soil salinitywereselected using geodetic detector.Thepartial least square methodwas thenusedto construct remote sensing inversion modelsof soil salinityand explorethe spatialdistributioncharacteristicsof soilsalinity in the study area.The results show that the optimal spectral indices with high explanatory power ( q>0.05 )andhighly significant level ( P <0.01)for soil salinity are visible-infrared salinity index,extended diffrence vegetation index,normalized diference waterindex,nonlinear index,S6salinityindex,brightness index,reflectivityof sateliteB8Aband,INT2 salinity idex,optimized soil adjusted vegetation index,soil adjusted vegetation index,enhancedvegetation index,SI3 salinityindex,extendedratiovegetationindex,salinityindex,atmosphericalyresistantvegetationindex,S5salinityindex. The determinationcoefficient and meanrelative erorof theremote sensing inversionmodel of soil salinityareO.77and 0.36,respectively,the model can predict the salinitycondition in the study area more accurately.The studyarea consists of non-saline soil,mildly saline soil and moderately saline soil. The area with a salt mass ratio less than 0.2g/kg in nonsaline soil accounts for the largest proportion,which is 50.43% . The mildly saline soil and moderately saline soil show a fragmenteddistribution,mainlyoccuring in the non-planting area,which is inline with theresultsoffieldsurvey.The average soil saltcontentof differentlanduse-covertypes is significantly different,andtheorder ofland use-cover types withtheaverage saltcontentfrom large to smallis saline wasteland,abandoned land-summer corn field,forestland, winter wheat-summer corn field,and paddy field.

Keywords : soil salinity;remote sensing retrieval; spatial distribution; geodetector; the Yellow River Delta

土壤鹽漬化是土壤表層集聚可溶性鹽的一種現(xiàn)象,極大地限制了農(nóng)業(yè)發(fā)展和土地資源的可持續(xù)利用,因此土壤鹽漬化已經(jīng)被列為中國(guó)生態(tài)文明建設(shè)和全球變化議題中的重要研究方向。(剩余9364字)

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