农业工程学报
農業工程學報
농업공정학보
2015年
2期
147-154
,共8页
刘咏梅%汪步惟%李京忠%庞国伟
劉詠梅%汪步惟%李京忠%龐國偉
류영매%왕보유%리경충%방국위
土壤%植被%光谱分析%枯枝落叶层%黄土丘陵沟壑区
土壤%植被%光譜分析%枯枝落葉層%黃土丘陵溝壑區
토양%식피%광보분석%고지락협층%황토구릉구학구
soils%vegetation%spectrum analysis%plant litter%Loess Hilly-gully Region
枯枝落叶层在植被防止土壤侵蚀的功效中发挥着主导作用,枯落层的光谱特征分析将为遥感估算枯落层盖度提供重要依据。该文利用陕北延河流域典型植被群落土壤和枯落层样本的光谱测试数据,分析土壤和枯落层在在可见光-近红外波段(400~1100 nm)和短波红外波段(1100~2500μm)的光谱差异特征及主要影响因素,并进一步评价归一化植被指数(NDVI,normalized difference vegetation index)和归一化衰败植被指数(NDSVI,normalized difference senescent vegetation index)、归一化差值耕作指数(NDTI,normalized difference tillage index)、纤维素吸收指数(CAI,cellulose absorption index)等植被指数区分土壤和枯落层的有效性。结果表明,在可见光-近红外波段土壤和枯落层的反射光谱特征相似,两者难以区分,但在短波红外波段的1700和2100 nm处因枯落层具有纤维素吸收特征而与土壤存在差异。含水量对土壤和枯落层反射光谱特征的影响强烈,水分的存在降低了土壤和枯落层在整个光谱范围的差异性。光谱空间中枯落线和土壤线的关系表明,NDVI 指数难以反映土壤和枯落层的光谱差异特征;由于宽波段的影响,利用多光谱指数NDSVI和NDTI表征枯落层信息具有一定的局限性;高光谱指数CAI利用了枯落层与土壤在2100 nm处的差异特征,能够较好地区分出土壤与枯落层,该研究为利用遥感技术有效提取枯落层等衰败植被信息提供了新的途径。
枯枝落葉層在植被防止土壤侵蝕的功效中髮揮著主導作用,枯落層的光譜特徵分析將為遙感估算枯落層蓋度提供重要依據。該文利用陝北延河流域典型植被群落土壤和枯落層樣本的光譜測試數據,分析土壤和枯落層在在可見光-近紅外波段(400~1100 nm)和短波紅外波段(1100~2500μm)的光譜差異特徵及主要影響因素,併進一步評價歸一化植被指數(NDVI,normalized difference vegetation index)和歸一化衰敗植被指數(NDSVI,normalized difference senescent vegetation index)、歸一化差值耕作指數(NDTI,normalized difference tillage index)、纖維素吸收指數(CAI,cellulose absorption index)等植被指數區分土壤和枯落層的有效性。結果錶明,在可見光-近紅外波段土壤和枯落層的反射光譜特徵相似,兩者難以區分,但在短波紅外波段的1700和2100 nm處因枯落層具有纖維素吸收特徵而與土壤存在差異。含水量對土壤和枯落層反射光譜特徵的影響彊烈,水分的存在降低瞭土壤和枯落層在整箇光譜範圍的差異性。光譜空間中枯落線和土壤線的關繫錶明,NDVI 指數難以反映土壤和枯落層的光譜差異特徵;由于寬波段的影響,利用多光譜指數NDSVI和NDTI錶徵枯落層信息具有一定的跼限性;高光譜指數CAI利用瞭枯落層與土壤在2100 nm處的差異特徵,能夠較好地區分齣土壤與枯落層,該研究為利用遙感技術有效提取枯落層等衰敗植被信息提供瞭新的途徑。
고지락협층재식피방지토양침식적공효중발휘착주도작용,고락층적광보특정분석장위요감고산고락층개도제공중요의거。해문이용협북연하류역전형식피군락토양화고락층양본적광보측시수거,분석토양화고락층재재가견광-근홍외파단(400~1100 nm)화단파홍외파단(1100~2500μm)적광보차이특정급주요영향인소,병진일보평개귀일화식피지수(NDVI,normalized difference vegetation index)화귀일화쇠패식피지수(NDSVI,normalized difference senescent vegetation index)、귀일화차치경작지수(NDTI,normalized difference tillage index)、섬유소흡수지수(CAI,cellulose absorption index)등식피지수구분토양화고락층적유효성。결과표명,재가견광-근홍외파단토양화고락층적반사광보특정상사,량자난이구분,단재단파홍외파단적1700화2100 nm처인고락층구유섬유소흡수특정이여토양존재차이。함수량대토양화고락층반사광보특정적영향강렬,수분적존재강저료토양화고락층재정개광보범위적차이성。광보공간중고락선화토양선적관계표명,NDVI 지수난이반영토양화고락층적광보차이특정;유우관파단적영향,이용다광보지수NDSVI화NDTI표정고락층신식구유일정적국한성;고광보지수CAI이용료고락층여토양재2100 nm처적차이특정,능구교호지구분출토양여고락층,해연구위이용요감기술유효제취고락층등쇠패식피신식제공료신적도경。
Plant litter plays a critical role in controlling and protecting soil against water erosion and increasing soil organic carbon. The presence of plant litter efficiently reduces erosion and surface runoff, and influences the cycle of nutrients, carbon, and energy in ecosystem. Remote sensing can provide a new way to differentiate litter from soil, and spectral difference of plant litter and soil is the primary basis for the remotely sensed estimation of plant litter coverage. By using spectral measurement of the soil and litter samples of typical vegetation communities in the Yanhe River basin of Northern Shaanxi, the difference of spectral characteristics between soil and litter in the VIS-NIR (400-1 100 nm) and SWIR (1 100-2 500μm) wavelengths and main impact factors were analyzed; the effectiveness of NDVI (normalized difference vegetation index) and typical senescent vegetation indexes such as NDSVI (normalized difference senescent vegetation index), NDTI (normalized difference tillage index) and CAI (cellulose absorption index) was evaluated to distinguish litter from soil. The results showed that the spectral behaviors of soil and litter were similar in the VIS-NIR wavebands, and the main difference between soil and litter was that the slopes of spectra of the litter samples were slightly greater than that of the soil samples. The two water absorption bands, centered at 1 400 and 1 900 nm, had the common spectral features in soil and litter within the SWIR waveband, while diagnostic features could be observed at 1 700 and 2 100 nm in the reflectance spectra of the dried litter samples, which were associated with the cellulose-lignin absorptions. Water content influenced the reflectance spectra of soil and litter samples obviously, and the reflectance of wet soil and litter was reduced by half compared to dry soil and litter. The cellulose-lignin absorption at 2100 nm obscured and disappeared in the reflectance spectra of wet litter samples, the spectra shape of the wet litter appeared very similar to that of wet soil, and hence it was indistinguishable between soil and litter. The existence of residue line which presents the linear regression relationship between any couple of TM bands was first verified with the litter samples. According to the relationship of soil line and residue line in feature space of two TM bands, residue line existed (R2=0.86) and was closed to soil line (R2=0.97) between TM3-TM4 wavebands, the NDVI values of soil samples were similar to the litter samples, and spectral differences of soil and litter can't be characterized by NDVI. TheR2 of 0.81 illustrated the existence of soil line, but residue line (R2=0.10) can’t be observed between TM3-TM5 wavebands, and the NDSVI values of soil and litter samples were mixed and featureless. Both soil line (R2=0.95) and residue line (R2=0.65) existed between TM5-TM7 wavebands, and NDTI values of soil and litter samples were still in proximity to each other. Due to low spectral resolution, there were limitations for multispectral indexes (like NDSVI and NDTI) to extract the information of litter. The spectral separability between soil and litter can be represented by the hyperspectral index CAI, which takes the advantage of obvious difference between soil and litter at 2 100 nm and thereby presents a good result for distinguishing litter from soil.