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R语言 yaImpute包 MoscowMtStJoe()函数中文帮助文档(中英文对照)

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发表于 2012-10-2 07:30:11 | 显示全部楼层 |阅读模式
MoscowMtStJoe(yaImpute)
MoscowMtStJoe()所属R语言包:yaImpute

                                        Moscow Mountain and St. Joe Woodlands (Idaho, USA) Tree and LiDAR Data
                                         莫斯科山和St。乔林地的树(爱达荷州,美国)和LiDAR数据

                                         译者:生物统计家园网 机器人LoveR

描述----------Description----------

Data used to compare the utility of discrete-return light detection and ranging (LiDAR) data and multispectral satellite imagery, and their integration, for modeling and mapping basal area and tree density across two diverse coniferous forest landscapes in north-central Idaho, USA.
使用的数据,建模和映射在两个不同的美国爱达荷州,在北部和中部的针叶林景观基底面积和树木的密度比较实用的离散回报的光探测和测距(LIDAR)数据和多光谱卫星图像,并将其纳入。


用法----------Usage----------


data(MoscowMtStJoe)



格式----------Format----------

A data frame with 165 rows and 64 columns: <br><br> Ground based measurements of trees:
一个数据框有165行和64列:<BR> <BR>地面测量树木:

ABGR\_BA Basal area (m^2/ha) of ABGR
ABGR\_BA 断面积(m^2/ha)ABGR

ABLA\_BA Basal area (m^2/ha) of ABLA
ABLA\_BA 断面积(m^2/ha)ABLA

ACGL\_BA Basal area (m^2/ha) of ACGL
ACGL\_BA 断面积(m^2/ha)ACGL

BEOC\_BA Basal area (m^2/ha) of BEOC
BEOC\_BA 断面积(m^2/ha)BEOC

LAOC\_BA Basal area (m^2/ha) of LAOC
LAOC\_BA 断面积(m^2/ha)LAOC

PICO\_BA Basal area (m^2/ha) of PICO
PICO\_BA 断面积(m^2/ha)PICO

PIEN\_BA Basal area (m^2/ha) of PIEN
PIEN\_BA 断面积(m^2/ha)PIEN

PIMO\_BA Basal area (m^2/ha) of PIMO
PIMO\_BA 断面积(m^2/ha)PIMO

PIPO\_BA Basal area (m^2/ha) of PIPO
PIPO\_BA 断面积(m^2/ha)PIPO

POBA\_BA Basal area (m^2/ha) of POBA
POBA\_BA 断面积(m^2/ha)POBA

POTR\_BA Basal area (m^2/ha) of POTR
POTR\_BA 断面积(m^2/ha)POTR

PSME\_BA Basal area (m^2/ha) of PSME
PSME\_BA 断面积(m^2/ha)PSME

SAEX\_BA Basal area (m^2/ha) of SAEX
SAEX\_BA 断面积(m^2/ha)SAEX

THPL\_BA Basal area (m^2/ha) of THPL
THPL\_BA 断面积(m^2/ha)THPL

TSHE\_BA Basal area (m^2/ha) of TSHE
TSHE\_BA 断面积(m^2/ha)TSHE

TSME\_BA Basal area (m^2/ha) of TSME
TSME\_BA 断面积(m^2/ha)TSME

UNKN\_BA Basal area (m^2/ha) of unknown species
UNKN\_BA 断面积(m^2/ha)的未知物种

Total\_BABasal area (m^2/ha) total over all species
Total\_BA断面积(m^2/ha)总额超过所有物种

ABGR\_TD Trees per ha of ABGR
ABGR\_TD 树每公顷ABGR

ABLA\_TD Trees per ha of ABLA
ABLA\_TD 树每公顷ABLA

ACGL\_TD Trees per ha of ACGL
ACGL\_TD 树每公顷ACGL

BEOC\_TD Trees per ha of BEOC
BEOC\_TD 树每公顷BEOC

LAOC\_TD Trees per ha of LAOC
LAOC\_TD 树每公顷LAOC

PICO\_TD Trees per ha of PICO
PICO\_TD 树每公顷PICO

PIEN\_TD Trees per ha of PIEN
PIEN\_TD 树每公顷PIEN

PIMO\_TD Trees per ha of PIMO
PIMO\_TD 树每公顷PIMO

PIPO\_TD Trees per ha of PIPO
PIPO\_TD 树每公顷PIPO

POBA\_TD Trees per ha of POBA
POBA\_TD 树每公顷POBA

POTR\_TD Trees per ha of POTR
POTR\_TD 树每公顷POTR

PSME\_TD Trees per ha of PSME
PSME\_TD 树每公顷PSME

SAEX\_TD Trees per ha of SAEX
SAEX\_TD 树每公顷SAEX

THPL\_TD Trees per ha of THPL
THPL\_TD 树每公顷THPL

TSHE\_TD Trees per ha of TSHE
TSHE\_TD 树每公顷TSHE

TSME\_TD Trees per ha of TSME
TSME\_TD 树每公顷TSME

UNKN\_TD Trees per ha of unknown species
UNKN\_TD 树每公顷的未知物种

Total\_TDTrees per ha total over all species
Total\_TD树的所有品种,每公顷总

Geographic Location, Slope and Aspect:
GEO位置,坡度,坡向:

EASTING  UTM (Zone 11) easting at plot center
EASTING   UTM(11区)的东向图中心

NORTHING UTM (Zone 11) northing at plot center
NORTHING  UTM(11区)的北向图中心

ELEVATIONMean elevation (m) above sea level over plot
ELEVATION图海拔超过平均高程(m)

SLPMEAN  Mean slope (percent) over plot
SLPMEAN  平均坡度(%)图

ASPMEAN  Mean aspect (degrees) over plot
ASPMEAN  方面(度)平均图

Advanced Land Imager (ALI):
先进陆地成像仪(ALI):

B1MEAN Mean of 30 m ALI band 1 pixels intersecting plot
B1MEAN 平均30米ALI带1个像素相交的图

B2MEAN Mean of 30 m ALI band 2 pixels intersecting plot
B2MEAN 平均30米ALI带2个像素相交的图

B3MEAN Mean of 30 m ALI band 3 pixels intersecting plot
B3MEAN 平均30米ALI带3个像素相交的图

B4MEAN Mean of 30 m ALI band 4 pixels intersecting plot
B4MEAN 平均30米ALI带4个像素相交的图

B5MEAN Mean of 30 m ALI band 5 pixels intersecting plot
B5MEAN 平均30米ALI带5个像素相交的图

B6MEAN Mean of 30 m ALI band 6 pixels intersecting plot
B6MEAN 6个像素的平均30米ALI带相交图

B7MEAN Mean of 30 m ALI band 7 pixels intersecting plot
B7MEAN 的意思是30米ALI带7个像素相交的图

B8MEAN Mean of 30 m ALI band 8 pixels intersecting plot
B8MEAN 的意思是30米ALI带8个像素相交的图

B9MEAN Mean of 30 m ALI band 9 pixels intersecting plot
B9MEAN 平均30米ALI带9个像素相交的图

PANMEANMean of 10 m PAN band pixels intersecting plot
PANMEAN平均10米的全色波段像素相交的图

PANSTD Standard deviation of 10 m PAN band pixels intersecting plot
PANSTD 标准偏差为10米的全色波段像素相交的图

LiDAR Intensity:
激光雷达强度:

INTMEANMean of 2 m intensity pixels intersecting plot
INTMEAN平均强度为2米像素相交的图

INTSTD Standard deviation of 2 m intensity pixels intersecting plot
INTSTD 标准偏差为2米强度像素相交的图

INTMIN Minimum of 2 m intensity pixels intersecting plot
INTMIN 最低强度为2米像素相交的图

INTMAX Maximum of 2 m intensity pixels intersecting plot
INTMAX 强度像素最大为2米相交的图

LiDAR Height:
激光雷达高度:

HTMEANMean of 6 m height pixels intersecting plot
HTMEAN平均高度为6米像素相交的图

HTSTD Standard deviation of 6 m height pixels intersecting plot
HTSTD 标准偏差为6米高度的像素相交的图

HTMIN Minimum of 6 m height pixels intersecting plot
HTMIN 最少6米的高度像素相交的图

HTMAX Maximum of 6 m height pixels intersecting plot
HTMAX 最大6米的高度像素相交的图

LiDAR Canopy Cover:
激光雷达篷盖:

CCMEANMean of 6 m canopy cover pixels intersecting plot
CCMEAN平均6米篷盖像素相交图的

CCSTD Standard deviation of 6 m canopy cover pixels intersecting plot
CCSTD 标准偏差为6米篷盖像素相交的图

CCMIN Minimum of 6 m canopy cover pixels intersecting plot
CCMIN 最小为6米篷盖像素相交的图

CCMAX Maximum of 6 m canopy cover pixels intersecting plot
CCMAX 最大为6米的篷盖像素相交的图


源----------Source----------

Dr. Andrew T. Hudak  <br> USDA Forest Service <br> Rocky Mountain Research Station <br> 1221 South Main <br> Moscow, Idaho, USA 83843
安德鲁博士T.胡达克参考美国农业部林务局参考洛矶山研究站参考1221南大街参考莫斯科,爱达荷州,美国83843


参考文献----------References----------

A.M.S.; Gessler, P.E.; Morgan, P. (2006). Regression modeling and mapping of coniferous forest basal area and tree density from discrete-return lidar and multispectral satellite data. Can. J. Remote Sensing. 32(2):126-138. http://www.treesearch.fs.fed.us/pubs/24612
转载请注明:出自 生物统计家园网(http://www.biostatistic.net)。


注:
注1:为了方便大家学习,本文档为生物统计家园网机器人LoveR翻译而成,仅供个人R语言学习参考使用,生物统计家园保留版权。
注2:由于是机器人自动翻译,难免有不准确之处,使用时仔细对照中、英文内容进行反复理解,可以帮助R语言的学习。
注3:如遇到不准确之处,请在本贴的后面进行回帖,我们会逐渐进行修订。
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