农业科学与技术(英文版)
農業科學與技術(英文版)
농업과학여기술(영문판)
AGRICULTURAL SCIENCE & TECHNOLOGY
2014年
1期
148-151,158
,共5页
蒲智%孟晓燕%陈艳红%吴艳
蒲智%孟曉燕%陳豔紅%吳豔
포지%맹효연%진염홍%오염
盐碱土%光谱特征%去包络线%高光谱
鹽堿土%光譜特徵%去包絡線%高光譜
염감토%광보특정%거포락선%고광보
Saline soil%Spectral characteristic%Continuum removal%Hyperspectrum
地物光谱特征是遥感机理的重要内容,也是遥感应用研究的重要依据。盐碱土的反射光谱特性反映了盐碱土的理化特征。以干旱区3种典型的盐碱土为研究对象,测量了不同含盐量和含水率的土壤反射率光谱,并分析了其光谱特征。结果表明,3种盐碱土的光谱反射率在干燥状态下有明显的高低规律。经过去包络线处理后,3种盐碱土在干燥状态下具有明显不同的光谱特征,且在干湿两种状态下,两个水分吸收谷处的吸收深度的深浅均具有明显的深浅差异。根据这些特征可以将3种类型的盐碱土区分出来。研究结果可为今后进一步研究盐碱化土壤参数反演和分类,以及盐碱土监测等遥感应用服务。
地物光譜特徵是遙感機理的重要內容,也是遙感應用研究的重要依據。鹽堿土的反射光譜特性反映瞭鹽堿土的理化特徵。以榦旱區3種典型的鹽堿土為研究對象,測量瞭不同含鹽量和含水率的土壤反射率光譜,併分析瞭其光譜特徵。結果錶明,3種鹽堿土的光譜反射率在榦燥狀態下有明顯的高低規律。經過去包絡線處理後,3種鹽堿土在榦燥狀態下具有明顯不同的光譜特徵,且在榦濕兩種狀態下,兩箇水分吸收穀處的吸收深度的深淺均具有明顯的深淺差異。根據這些特徵可以將3種類型的鹽堿土區分齣來。研究結果可為今後進一步研究鹽堿化土壤參數反縯和分類,以及鹽堿土鑑測等遙感應用服務。
지물광보특정시요감궤리적중요내용,야시요감응용연구적중요의거。염감토적반사광보특성반영료염감토적이화특정。이간한구3충전형적염감토위연구대상,측량료불동함염량화함수솔적토양반사솔광보,병분석료기광보특정。결과표명,3충염감토적광보반사솔재간조상태하유명현적고저규률。경과거포락선처리후,3충염감토재간조상태하구유명현불동적광보특정,차재간습량충상태하,량개수분흡수곡처적흡수심도적심천균구유명현적심천차이。근거저사특정가이장3충류형적염감토구분출래。연구결과가위금후진일보연구염감화토양삼수반연화분류,이급염감토감측등요감응용복무。
The spectral characteristic of geography objects is not only the important content of remote sensing mechanism, but also the important basis for remote sensing application. The reflectance spectral characteristics reflect the physiochemi-cal properties of saline soil. With 3 kinds of typical saline soils in the arid area as the study objects, the reflectance spectrums of soils with different salt contents and soil moistures were measured, and the spectral characteristics of the spectrums were analyzed. The results showed that under dry condition, the reflectance of the three kinds of saline soils presented obvious high-low patterns, while under damp condition, there was no obvious pattern. With continuum removed ,the three kinds of saline soils showed significant difference in reflectance spectral characteristics. There was significant difference in the absorption depth of the two absorption val eys un-der dry and damp conditions, which could be used to identify these 3 saline soils. The result of this research can be used for the parametric inversion and classifica-tion of saline soil retrieval and classification, as wel as for the remote sensing monitoring on saline soil.