英语高手快来帮我翻译吧 谢谢啦~ 。。2 请勿用翻译器啊。。。
Theoptimalwavelengthusedtomeasuresubstances(e.g.,suspendedsolids,chlorophyllandyellow...
The optimal wavelength used to measure substances (e.g.,
suspended solids, chlorophyll and yellow substance) in waters depends
on some factors such as concentrations of these substances,
characteristics of sensors and so on (Schmugge et al., 2002). Various
bands and sensors have been proposed to estimate the SSC of water.
Dekker et al. (2001) reported that Landsat TM Bands 2 (green)–3
(red) were suitable for estimating SSC for lake waters within SSC
range 0–50 mg l–1, and similarly Tyler et al. (2006) reported that
Landsat TM Band 3 showed strong significant correlations with SSC of
lake waters (SSCb60 mg l−1). Binding et al. (2005) reported that a
robust relationship was found between SSC (b25 mg l−1) and reflectance
in the red region in the Irish Sea. Sterckx et al. (2007) used NIR
bands of the AHS sensor as a SSC indicator in an estuary (SSC: 0–
400 mg l−1). Harrington et al. (1992) reported that Landsat MSS Band
3 (NIR) was suitable for 0–500 mg l−1, and MSS Band 4 (NIR) was
suitable for higher SSC. In general, it seems that NIR bands are
appropriate for higher SSC waters, whereas visible bands are
appropriate for lower SSC waters.
Both linear and nonlinear relations between SSC and reflectance
have been proposed. This was mainly due to the SSC values. A
nonlinear relation between water reflectance and SSC ranging from 22
to 2610 mg l−1 was reported for the turbid water in the Upper and
Middle Yangtze River (Wang et al., 2007, 2009). However, this study
found that water reflectance at MODIS Band 2 showed a linear
relationship with SSC within the range of 74–600 mg l−1 and a
nonlinear relationship within the range of 600–881 mg l−1. Harrington
et al. (1992) reported that reflectance at Landsat MSS 3 (NIR) had
a linear relationship with SSC within the range of 0–500 mg l−1, but
the relationship became nonlinear when SSC increased further.
In addition to single bands, reflectance ratios between the NIR and
visible bands (red, green and blue), as well as the ratio of the red band
to the green band, have also been proposed to indicate SSC (Topliss
et al., 1990; You and Hou, 1992; Doxaran et al., 2009). Doxaran et al.
(2002) pointed out that use of reflectance ratios could reduce sky light
reflection and the influence of particle grain-size and refractive index
variations. However, Binding et al. (2005) argued that reflectance
ratios worked well only for highly turbid waters where scattering is
sufficient to overcome the strong absorption by other optically active
materials in water at these wavelengths. In this study, band ratios did
not show a good regression relation with SSC. A possible reason may
be that atmospheric correction was not as effective at visible bands as
at the NIR band, such that more residual atmospheric effects remained
in the shorter wavelength bands 展开
suspended solids, chlorophyll and yellow substance) in waters depends
on some factors such as concentrations of these substances,
characteristics of sensors and so on (Schmugge et al., 2002). Various
bands and sensors have been proposed to estimate the SSC of water.
Dekker et al. (2001) reported that Landsat TM Bands 2 (green)–3
(red) were suitable for estimating SSC for lake waters within SSC
range 0–50 mg l–1, and similarly Tyler et al. (2006) reported that
Landsat TM Band 3 showed strong significant correlations with SSC of
lake waters (SSCb60 mg l−1). Binding et al. (2005) reported that a
robust relationship was found between SSC (b25 mg l−1) and reflectance
in the red region in the Irish Sea. Sterckx et al. (2007) used NIR
bands of the AHS sensor as a SSC indicator in an estuary (SSC: 0–
400 mg l−1). Harrington et al. (1992) reported that Landsat MSS Band
3 (NIR) was suitable for 0–500 mg l−1, and MSS Band 4 (NIR) was
suitable for higher SSC. In general, it seems that NIR bands are
appropriate for higher SSC waters, whereas visible bands are
appropriate for lower SSC waters.
Both linear and nonlinear relations between SSC and reflectance
have been proposed. This was mainly due to the SSC values. A
nonlinear relation between water reflectance and SSC ranging from 22
to 2610 mg l−1 was reported for the turbid water in the Upper and
Middle Yangtze River (Wang et al., 2007, 2009). However, this study
found that water reflectance at MODIS Band 2 showed a linear
relationship with SSC within the range of 74–600 mg l−1 and a
nonlinear relationship within the range of 600–881 mg l−1. Harrington
et al. (1992) reported that reflectance at Landsat MSS 3 (NIR) had
a linear relationship with SSC within the range of 0–500 mg l−1, but
the relationship became nonlinear when SSC increased further.
In addition to single bands, reflectance ratios between the NIR and
visible bands (red, green and blue), as well as the ratio of the red band
to the green band, have also been proposed to indicate SSC (Topliss
et al., 1990; You and Hou, 1992; Doxaran et al., 2009). Doxaran et al.
(2002) pointed out that use of reflectance ratios could reduce sky light
reflection and the influence of particle grain-size and refractive index
variations. However, Binding et al. (2005) argued that reflectance
ratios worked well only for highly turbid waters where scattering is
sufficient to overcome the strong absorption by other optically active
materials in water at these wavelengths. In this study, band ratios did
not show a good regression relation with SSC. A possible reason may
be that atmospheric correction was not as effective at visible bands as
at the NIR band, such that more residual atmospheric effects remained
in the shorter wavelength bands 展开
展开全部
用来测量的最佳波长物质(例如,
悬浮固体物、叶绿素和黄色物质)在水里要视情况而定
在一些因素如浓度的这些物质,
传感器的特点等Schmugge苏达权等,2002年)。各种
乐队和传感器估计已经提出了小尺度地幔对流的水。
北京孙俐。(2001)报道,地球资源探测TM乐队2(绿色)3
(红色)适合湖泊水域估算SSC在SSC
0-50毫克l-1范围,好象泰勒孙俐。(2006)报道,
地球资源探测TM乐队有显著正相关,显示出很强的3大面积的
湖水SSCb60毫克左−(1)。结合孙俐。(2005)报道,
鲁棒性之间的关系b25毫克发现SSC(−1)和反射信用证
在红色区域在爱尔兰海上。Sterckx孙俐。(2007)用近红外
已经有传感器的索作为SSC指标(SSC河口:0 -
我400毫克−1)。哈林顿孙俐。(1992)报道,地球资源探测海量存储系统(MSS)中乐队
3(近红外)是适合0-500毫克左−1,海量存储系统(MSS)中四级(近红外)
适用于高等SSC。一般来说,似乎近红外圈
适合高,而可见光波段大面积水域
适合低SSC水域。
线性和非线性关系都SSC和反射
已被提出。这主要是由于小尺度地幔对流的价值观。一个
水之间的非线性映射关系的反射率和SSC从22个
我−2610毫克,1是报道在上、水浊
长江中游(王、苏达权等,2007年,2009年)。但是,这项研究
发现水反射在美地二级表现出了线性的
关系范围内的儿童74-600毫克左−1和
范围内的非线性关系600-881毫克左−1。他
疾病学组。(1992)报道,反射在地球资源探测海量存储系统(MSS)中3(近红外)
成线性关系范围内的儿童0-500毫克左−1,但
当儿童的非线性关系变得日臻深化。
除了单一的乐队,反射比值近之间
可见光波段(红、绿、蓝三色),以及比红色的乐队
绿色的乐队,已经被提出表明SSC(Topliss
苏达权等,1990;你和后,1992;Doxaran苏达权等,2009年)。Doxaran孙俐。
(2002)指出,可以减少使用反射比值天空光
粒子的影响,反映粒度和折射指数
变化。然而,结合孙俐。(2005)认为反射
工作比只适合于高浊散射水域中
吸收力强足以克服其他光学活跃
这些波长的水材料。在这项研究中,乐队比了
不显示良好的回归关系到SSC。一个可能的原因可能
是大气校正并没有有效的可见光波段
在近红外乐队,这样的残余大气的效应也没有留下
在较短的波长乐队
悬浮固体物、叶绿素和黄色物质)在水里要视情况而定
在一些因素如浓度的这些物质,
传感器的特点等Schmugge苏达权等,2002年)。各种
乐队和传感器估计已经提出了小尺度地幔对流的水。
北京孙俐。(2001)报道,地球资源探测TM乐队2(绿色)3
(红色)适合湖泊水域估算SSC在SSC
0-50毫克l-1范围,好象泰勒孙俐。(2006)报道,
地球资源探测TM乐队有显著正相关,显示出很强的3大面积的
湖水SSCb60毫克左−(1)。结合孙俐。(2005)报道,
鲁棒性之间的关系b25毫克发现SSC(−1)和反射信用证
在红色区域在爱尔兰海上。Sterckx孙俐。(2007)用近红外
已经有传感器的索作为SSC指标(SSC河口:0 -
我400毫克−1)。哈林顿孙俐。(1992)报道,地球资源探测海量存储系统(MSS)中乐队
3(近红外)是适合0-500毫克左−1,海量存储系统(MSS)中四级(近红外)
适用于高等SSC。一般来说,似乎近红外圈
适合高,而可见光波段大面积水域
适合低SSC水域。
线性和非线性关系都SSC和反射
已被提出。这主要是由于小尺度地幔对流的价值观。一个
水之间的非线性映射关系的反射率和SSC从22个
我−2610毫克,1是报道在上、水浊
长江中游(王、苏达权等,2007年,2009年)。但是,这项研究
发现水反射在美地二级表现出了线性的
关系范围内的儿童74-600毫克左−1和
范围内的非线性关系600-881毫克左−1。他
疾病学组。(1992)报道,反射在地球资源探测海量存储系统(MSS)中3(近红外)
成线性关系范围内的儿童0-500毫克左−1,但
当儿童的非线性关系变得日臻深化。
除了单一的乐队,反射比值近之间
可见光波段(红、绿、蓝三色),以及比红色的乐队
绿色的乐队,已经被提出表明SSC(Topliss
苏达权等,1990;你和后,1992;Doxaran苏达权等,2009年)。Doxaran孙俐。
(2002)指出,可以减少使用反射比值天空光
粒子的影响,反映粒度和折射指数
变化。然而,结合孙俐。(2005)认为反射
工作比只适合于高浊散射水域中
吸收力强足以克服其他光学活跃
这些波长的水材料。在这项研究中,乐队比了
不显示良好的回归关系到SSC。一个可能的原因可能
是大气校正并没有有效的可见光波段
在近红外乐队,这样的残余大气的效应也没有留下
在较短的波长乐队
参考资料: www.2345.com
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好长。。一看就吓到了
好吧,我承认我是路过打酱油的
好吧,我承认我是路过打酱油的
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展开全部
用来测量的最佳波长物质(例如,
悬浮固体物、叶绿素和黄色物质)在水里要视情况而定
在一些因素如浓度的这些物质,
传感器的特点等Schmugge苏达权等,2002年)。各种
乐队和传感器估计已经提出了小尺度地幔对流的水。
北京孙俐。(2001)报道,地球资源探测TM乐队2(绿色)3
(红色)适合湖泊水域估算SSC在SSC
0-50毫克l-1范围,好象泰勒孙俐。(2006)报道,
地球资源探测TM乐队有显著正相关,显示出很强的3大面积的
湖水SSCb60毫克左−(1)。结合孙俐。(2005)报道,
鲁棒性之间的关系b25毫克发现SSC(−1)和反射信用证
在红色区域在爱尔兰海上。Sterckx孙俐。(2007)用近红外
已经有传感器的索作为SSC指标(SSC河口:0 -
我400毫克−1)。哈林顿孙俐。(1992)报道,地球资源探测海量存储系统(MSS)中乐队
3(近红外)是适合0-500毫克左−1,海量存储系统(MSS)中四级(近红外)
适用于高等SSC。一般来说,似乎近红外圈
适合高,而可见光波段大面积水域
适合低SSC水域。
线性和非线性关系都SSC和反射
已被提出。这主要是由于小尺度地幔对流的价值观。一个
水之间的非线性映射关系的反射率和SSC从22个
我−2610毫克,1是报道在上、水浊
长江中游(王、苏达权等,2007年,2009年)。但是,这项研究
发现水反射在美地二级表现出了线性的
关系范围内的儿童74-600毫克左−1和
范围内的非线性关系600-881毫克左−1。他
疾病学组。(1992)报道,反射在地球资源探测海量存储系统(MSS)中3(近红外)
成线性关系范围内的儿童0-500毫克左−1,但
当儿童的非线性关系变得日臻深化。
除了单一的乐队,反射比值近之间
可见光波段(红色、绿色
悬浮固体物、叶绿素和黄色物质)在水里要视情况而定
在一些因素如浓度的这些物质,
传感器的特点等Schmugge苏达权等,2002年)。各种
乐队和传感器估计已经提出了小尺度地幔对流的水。
北京孙俐。(2001)报道,地球资源探测TM乐队2(绿色)3
(红色)适合湖泊水域估算SSC在SSC
0-50毫克l-1范围,好象泰勒孙俐。(2006)报道,
地球资源探测TM乐队有显著正相关,显示出很强的3大面积的
湖水SSCb60毫克左−(1)。结合孙俐。(2005)报道,
鲁棒性之间的关系b25毫克发现SSC(−1)和反射信用证
在红色区域在爱尔兰海上。Sterckx孙俐。(2007)用近红外
已经有传感器的索作为SSC指标(SSC河口:0 -
我400毫克−1)。哈林顿孙俐。(1992)报道,地球资源探测海量存储系统(MSS)中乐队
3(近红外)是适合0-500毫克左−1,海量存储系统(MSS)中四级(近红外)
适用于高等SSC。一般来说,似乎近红外圈
适合高,而可见光波段大面积水域
适合低SSC水域。
线性和非线性关系都SSC和反射
已被提出。这主要是由于小尺度地幔对流的价值观。一个
水之间的非线性映射关系的反射率和SSC从22个
我−2610毫克,1是报道在上、水浊
长江中游(王、苏达权等,2007年,2009年)。但是,这项研究
发现水反射在美地二级表现出了线性的
关系范围内的儿童74-600毫克左−1和
范围内的非线性关系600-881毫克左−1。他
疾病学组。(1992)报道,反射在地球资源探测海量存储系统(MSS)中3(近红外)
成线性关系范围内的儿童0-500毫克左−1,但
当儿童的非线性关系变得日臻深化。
除了单一的乐队,反射比值近之间
可见光波段(红色、绿色
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