简介：Theauthorsreviewedthepreviousresearchresultsaboutthecolorchangesinheattreatedwood,anddeeplyanalyzedtheeffectofheattreatmentmethodandparametersincludingtemperatureandtimeofheattreatment,speciesandchemicalcompositiononthecolorchangesinheattreatedwood.Therelationshipsbetweencolorchangesandchemicalcomposition,physicalandmechanicalpropertieswerefound.Theopticalstabilityofthecolorofheattreatedwoodwasstudied.Somesuggestionswereproposedforthefutureresearch.

简介：Remotesensingimagesshowaverypromisingperspectivefordistinguishingtreespecies,especiallythosewiththeveryhighresolutionrangingfrom1to4m.However,thetraditionalmethodologyforclassifyinglandcovertypes,solelydependingonspectralfeatures,whiletextureandotherspatialinformationareneglected,hastheweaknesssuchasinadequatelyutilizationofinformation,lowaccuraciesofclassification,etc.Consideringtothetexturedifferencesamongforestspecies,itismoreimportantforspatialinformationdescriptionofhigh-resolutionremotesensingimagetoimprovetheprecisionoftexturalfeatureschoosing.Inthisstudy,thefactorstoinfluencetheninetexturalfeatureschoosingwereanalyzedandtheresultsshowedthatthemovingwindowsizewasthemainfactortoaffecttheobtainingprocessesoftexturalfeaturesbasedonthegraylevelco-occurrencematrix(GLCM)method,andtheimagerywasthenclassifiedcombiningthemaximumlikelihoodclassification(MLC)methodwiththeoriginalspectralvaluesandtexturefeatures.First,thisstudyutilizedacorrelationanalysisoftheimagesfromaprincipalcomponentanalysis.Second,throughmultipleinformationsources,includingtextualfeaturesderivedfromthedata.Forthehigh-resolutionremotesensingimage,themostpropermovingwindowsizewasdeterminedfrom3×3to31×31.Classificationofthemajortreespeciesthroughoutthestudyarea(theSunYat-SenMausoleuminNanjing)wasundertakenusingtheMLC.Third,toaidforestresearch,classificationaccuracywasimprovedusingtheGLCM.Accordingtocorrelationsamongtexturesandrichnessofthedata,GLCMprovidedthebestwindowsizeandtexturalparameters.Resultsindicatedthatthetexturecharacteristicswereaddinthespectralcharacteristicstoimprovetheprecisionoftheresultsoftheclassification,19×19windowforbestwindow.Thetotalprecisioncanreach66.3226%,Kappacoefficientis0.5840.Eachtreespecieshasgreatlyimprovedaccuraciesoftheclassification.Bythecal

简介：

简介：Forthehighbiomassandadaptability,applicationofwillowoncultivatingbioenergyforestandphytoremediationhadbeengottenmorerecognitionintheworldwide.Integratedwithourresearchpractice,weintroducedthegermplasmofhighbiomasswillowinChina,andthenewvarietieswithhighbiomassandtheircultivatedtechniquesweresummarizedinthisarticle.Moreover,wereportedthedevelopmentuptodateinbreedingandcultivationonwell-bredwillowwithhighbiomassandanalyzedtheforegroundofestablishingindustrialwillowwithhighbiomassinChina.

简介：Thepaperanalyzedthebasiccharacteristicsoffast-growingandhigh-yieldplantation,classifiedandidentifiedtheecologicalproblemsinitsdevelopment,andfinallyproposedthebasicprinciplesandcorrespondingtechnicalmeasuresforfast-growingandhigh-yieldplantationecosystemmanagementbasedontheseproblems.

简介：极端天气事件为Yamaguchi从1967～2007的一年基于气象学的数据被分析，日本。从风景树的回答主要被图象象素的分析也调查并且光谱反射。结果证明在在2007的干燥、热、多风的夏天以后，Yamaguchi城市里的许多风景树趋于由减少他们的叶表面区域并且收到更少的放射精力回答极端天气事件。早熟的叶褪色或落叶在某风景树种类上出现了，叶坏死发生在许多Kousa山茱萸(角kousa)的尖端和边缘上在相反的地点的树。由图象象素分析方法描述了，取样的山茱萸树的坏死的区域百分比(LNAP)平均的叶41.6%并且树也显示出的取样的Sasanqua山茶(Cameliasasanqua)在2007的花季节的更少花比那在2006。由部分变色王冠的微分分析，它为香甜的口香糖(Liquidambarstyraciflua)介绍了王冠颜色的一个逻辑微分方程树。它建议坚持的更高的温度和更低的降水能对在差的地点的敏感风景树有害，甚至在象Yamaguchi一样的相对潮湿的区域。

简介：Populus种类是为工业并且在生物、农业的系统上的科学学习的重要资源。我们的目的是在喜玛拉雅的白杨提高植物新生的频率(Populusciliata墙。前Royle)。TDZ的效果独自并且在有腺嘌和NAA的联合在叶柄将生物的活组织移植于培养基中培养的新生潜力上被学习。将生物的活组织移植于培养基中培养从在温室种的喜玛拉雅的白杨植物被切除。在表面消毒以后，将生物的活组织移植于培养基中培养在射击正式就职媒介上是有教养的。高百分比射击新生(86?%)在与0.004补充的MS媒介上被记录?mgL1TDZ并且79.7?mgL1腺嘌。为延伸和增加的改革射击被转移到MS?+?0.5?mgL1BAP?+?0.2?mgL1IAA?+?0.3?mgL1GA3。从在vitro开发的射击的根新生在与0.10补充的MS媒介上被观察?mg?L1IBA。喜玛拉雅的白杨小植物能在2以内被生产?在在沙和土壤的无菌的混合物的acclimatization以后的月。我们从P的叶柄将生物的活组织移植于培养基中培养开发了一个高效率植物新生协议。ciliata。