维普中文期刊产品整合服务
18篇 您的检索式:作者名="Zhongping Lee"
    题名 作者 年代 出处 被引量
1叶绿素浓度垂直不均一分布对于分层水体表观光学特性的影响显示文摘以往大部分海洋光学和海色研究都是以海洋光学有效成分及固有光学特性垂直均一分布的假设为基础进行的,然而海洋观测表明海水成分的垂直不均一性大量存在。文章通过Hydrolight辐射传输模拟研究了叶绿素浓度垂直不均一分布对海水表观光学特性的影响。叶绿素浓度垂直不均一分布由高斯模型来近似模拟,选择成熟的一类水体生物光学模型,利用Hydrolight辐射传输代码模拟表观光学特性,将垂直不均一廓线情况下模拟的表观光学特性值与具有本底值的均一廓线情况所模拟的相应值进行了比较。结果表明,水表面以下的叶绿素浓度最大值增加了蓝光波段的遥感反射率,减小了绿光波段的遥感反射率,而且改变了水体中辐射的方向分布,在叶绿素浓度最大值处,下行辐射漫衰减系数和平均余弦廓线分别出现峰值和谷值。席颖 杜克平 张丽华 Zhongping Lee 李小文 2010光谱学与光谱分析2010,30,2:10
2A preliminary study of the variation of phytoplankton absorption coefficients in the northern South China Sea显示文摘The temporal and spatial variabilities of phytoplankton absorption coefficients (a ph (λ)) and their relationships with physical processes in the northern South China Sea were examined, based on in situ data collected from two cruise surveys during May 14 to 25, 2001 and November 2 to 21, 2002. Significant changes in the surface water in a ph values and B/R ratios (a ph (440)/a ph (675)) were observed in May, which were caused by a phytoplankton bloom on the inner shelf stimulated by a large river plume due to heavy precipitation. This is consistent with the observed one order of magnitude elevation of chlorophyll a and a shift from a pico/nano dominated phytoplankton community to one dominated by micro-algae. Enhanced vertical mixing due to strengthened northeast monsoon in November has been observed to result in higher surface a ph (675) (0.002–0.006 m-1 higher) and less pronounced subsurface maximum on the outer shelf/slope in November as compared with that in May. Measurements of a ph and B/R ratios from three transects in November revealed a highest surface a ph (675) immediately outside the mouth of the Zhujiang (Pearl) River Estuary, whereas lower a ph (675) and higher B/R ratios were featured in the outer shelf/slope waters, demonstrating the respective influence of the Zhujiang River plume and the oligotrophic water of the South China Sea. The difference in spectral shapes of phytoplankton absorption (measured by B/R ratios and bathochromic shifts) on these three transects infers that picoprocaryotes are the major component of the phytoplankton community on the outer shelf/slope rather than on the inner shelf. A regional tuning of the phytoplankton absorption spectral model (Carder et al., 1999) was attempted, demonstrating a greater spatial variation than temporal variation in the lead parameter a 0 (λ). It was thus implicated that region-based parameterization of ocean color remote sensing algorithms in the northern South China Sea was mandatory.WU Jingyu HONG Huasheng SHANG Shaoling DAI Minhan LEE Zhongping LI Shaojing 2009Acta Oceanologica Sinica2009,28,5:2
3A Portable Algorithm to Retrieve Bottom Depth of Optically Shallow Waters from Top-Of-Atmosphere Measurements显示文摘Bottom depth(H)of optically shallow waters can be retrieved from multiband imagery,where remote sensing reflectance(R_(rs))are commonly used as the input.Because of the difficulties of removing the atmospheric effects in coastal areas,quite often,there are no valid R_(rs) from satellites for the retrieval of H.More importantly,the empirical algorithms for H are hardly portable to new measurements.In this study,using data from Landsat-8 and ICESat-2 as examples,we present an approach to retrieve H directly from the top-of-atmosphere(TOA)data.It not only bypasses the requirement to correct the effects of aerosols but also shows promising portability to areas not included in algorithm development.Specifically,we use Rayleigh-corrected TOA reflectance(ρ_(rc))in the 443–2300nm range as input,along with a multilayer perceptron(MLP^(ρ_(rc))_(H)),for the retrieval of H.More than 78,000 matchup points ofρ_(rc)and H(0–25 m)were used to train MLP^(ρ_(rc))_(H),which resulted in a Mean Absolute Percentage Difference(MARD)of 8.8%and a coefficient of determination(R^(2))of 0.96.This MLP^(ρ_(rc))_(H)was further applied to Landsat-8 data of six regions not included in the training phase,generating MARD and R^(2)values of 8.3%and 0.98,respectively.In contrast,a conventional two-band ratio algorithm with R_(rs) as the input generated MARD and R^(2)values of 31.6%and 0.68 and significantly fewer H retrievals due to failures in atmospheric correction.These results indicate a breakthrough of algorithm portability of MLP^(ρ_(rc))_(H)in sensing H of optically shallow waters.Wendian Lai Zhongping Lee Junwei Wang Yongchao Wang Rodrigo Garcia Huaguo Zhang 2022Journal of Remote Sensing2022,,1:2
4An algorithm to retrieve absorption coefficient of chromophoricdissolved organic matter from ocean color显示文摘DONG QIANG SHANG SHAOLING LEE ZHONGPING 2013 2013Remote Sensingof Environment2013,128,:1
5Deriving inherent optical properties from water color: amultiband quasi-analytical algorithm for optically deep waters显示文摘LEE ZHONGPING CARDER K L ARNONE R A 2002 2002Applied Optics2002,41,27:1
6New cascade approach for global k-exponential tracking of underactuated ships显示文摘LEE T C JIANG Zhongping 2004IEEE Transactions on Automatic Control2004,49,12:1
7Evaluation of GOCI sensitivity for At-Sensor radiance and GDPS-Retrieved chlorophyll- a products显示文摘Chuanmin Hu Lian Feng ZhongPing Lee 2012Ocean Science Journal2012,,3:1
8An emperical algorithm for light absorption by ocean water based on color显示文摘LEE Zhongping CARDER K L STEWARD R G 1998Journal of Geophysical Research1998,103,27:1
9Application of an optimization to satellite ocean color imageray:a case study in Southwest Florida coastal water显示文摘 Zhongping Lee Frank E Muller-Karger 2003Ocean Remote Sensing and Applications Proceedings of SPIE2003,4892,:1
10Ocean color algorithms in optically shallow waters:Limitations and improvernents显示文摘 Jennifer P Cannizzaro Zhongping Lee 2005Remote Sensing of the Coastal Oceanic Environment Proceedings of SPIE2005,5885,:1
11Water properties derived from water color versus measured from water sample:application of a new color-inversion algorithm显示文摘 Kendall L Carder Jennifer Patch 2003Ocean Remote Sensing and Applications Proceedings of SPIE2003,4892,:1
12Method to derive ocean absorption coefficients from remote-sensing reflectance 显示文摘LEE Zhongping CARDER K L PEACOCK T G 1996Applied Optics1996,35,3:1
13Confidence Measure of the Shallow-Water Bathymetry Map Obtained through the Fusion of Lidar and Multiband Image Data显示文摘With the advancement of Lidar technology,bottom depth(H)of optically shallow waters(OSW)can be measured accurately with an airborne or space-borne Lidar system(H_(Lidar) hereafter),but this data product consists of a line format,rather than the desired charts or maps,particularly when the Lidar system is on a satellite.Meanwhile,radiometric measurements from multiband imagers can also be used to infer H(H_(imager) hereafter)of OSW with variable accuracy,though a map of bottom depth can be obtained.It is logical and advantageous to use the two data sources from collocated measurements to generate a more accurate bathymetry map of OSW,where usually image-specific empirical algorithms are developed and applied.Here,after an overview of both the empirical and semianalytical algorithms for the estimation of H from multiband imagers,we emphasize that the uncertainty of H_(imager) varies spatially,although it is straightforward to draw regressions between H_(Lidar) and radiometric data for the generation of H_(imager).Further,we present a prototype system to map the confidence of H_(imager) pixel-wise,which has been lacking until today in the practices of passive remote sensing of bathymetry.We advocate the generation of a confidence measure in parallel with H_(imager),which is important and urgent for broad user communities.Zhongping Lee Mingjia Shangguan Rodrigo AGarcia Wendian Lai Xiaomei Lu Junwei Wang Xiaolei Yan 2021Journal of Remote Sensing2021,,1:1
14Impact of Temperature on Absorption Coefficient of Pure Seawater in the Blue Wavelengths Inferred from Satellite and In Situ Measurements显示文摘There has been a long history of interest on how(if)the absorption coefficient of“pure”fresh water(a_(fw)(λ))and“pure”seawater(a_(sw)(λ))changes with temperature(T),yet the impact of T reported in the literature differs significantly in the blue domain.Unlike the previous studies based on laboratory measurements,we took an approach based on~18 years(2002–2020)of MODIS ocean color and temperature measurements in the oligotrophic oceans,along with field measured chlorophyll concentration and phytoplankton absorption coefficient,to examine the relationship between T and the total absorption coefficient(a(λ))at 412 and 443 nm.We found that the values of a(412)and a(443)in the summer are nearly flat(slightly decreasing)for the observed T range of~19–27℃.Since there are no detectable changes of chlorophyll during this period,the results suggest that T has a negligible impact on a_(sw)(412) and a_(sw)(443)in this T range.As a complement,the impact of salinity on a_(fw)(λ) was also evaluated using three independent determinations of a_(sw)(λ) and a_(fw)(λ),where good agreements were found from these observations.Guomei Wei Zhongping Lee Xiuling Wu Xiaolong Yu Shaoling Shang Ricardo Letelier 2021Journal of Remote Sensing2021,,1:1
15Effects of molecular and particle scatterings on the model parameter for remote-sensing reflectance显示文摘Zhongping Lee Carder Kendall L Keping Du 2004Appl Opt2004,43,:1
16Remov- al of surface-reflected light for themeasurement of remote- sensing reflectance from an above-surface platform显示文摘ZhongPing Lee Yu-Hwan Ahn Curtis Mobley 2010Optics Express2010,18,26:1
17The Use of VGPM to Estimate Oceanic Primary Production:A“Tango”Difficult to Dance显示文摘One of the primary goals of launching an ocean color satellite is to obtain over the global ocean synoptic measurements of primary production(PP),a measure of phytoplankton photosynthesis.To reach this ultimate goal,in addition to precise measurements of radiance at the satellite altitude and robust data processing systems,a key requirement is to link primary production with satellitederived products,where a model must be developed and applied.Although many models have been developed in the past decades,the vertically generalized production model(VGPM)developed by Behrenfeld and Falkowski,due to its simplicity and ease of use with satellite products,has been a de facto“standard”for the estimation of PP from ocean color measurements over the past 20+years.Thus,it has significantly influenced the ocean color remote sensing and the biological oceanographic communities.In this article,we discuss the limitations of VGPM(and PP models based on chlorophyll concentration)in estimating primary production.Zhongping Lee John F.Marra 2022Journal of Remote Sensing2022,,1:0
18The Two Faces of“Case-1”Water显示文摘Morel’s“Optical modeling of the upper ocean in relation to its biogenous matter content(Case I waters)”(J.Geophys.Res.-Oceans,Vol.93,pp.107,49-10,768,1988)laid the groundwork to model the optical properties of natural waters based on the concentration of chlorophyll([Chl],in mg/m^(3)).As stated in the abstract,it aims“tentatively to interpret the optical behavior of oceanic case-I waters,”where“Chlorophyll-like pigment concentration is used as the index to quantify the algal materials,”because[Chl]is routinely measured in marine/oceanic surveys.Specifically,Morel developed“statistical relationships between this index and the depth of euphotic layer,the spectral values of the attenuation coefficient for downwelling irradiance,or the scattering coefficient,”and further,“a pigment-dependent optical model is developed.”Thus,such a system allows many aspects of oceanographic applications when[Chl](“this index”)is provided.In part,this system established[Chl]at the core of traditional ocean color remote sensing.To implement this system,however,it is necessary to have a complete understanding of the definition and evolution of this Case-1/Case-2 system,especially the qualitative definition of Case-1/Case-2 vs.the practical separation of Case-1/Case-2 as well as the quantitative modeling of the optical properties of Case-1 waters.Zhongping Lee Junwu Tang 2022Journal of Remote Sensing2022,,1:0
返回顶部 每页显示:
共1页 首页 上一页 第1页 下一页 末页 /1 跳转

网站首页 | 关于我们 | 联系我们 | 产品服务 | 客服中心 | 广告服务 | 版权声明 | 网站联盟 | 友情链接 | 售卡网点

版权所有© 渝B2-20050021-1 渝公网安备 50019002500403号 违法和不良信息举报中心

互联网出版许可证 新出网证(渝)字10号 全国400电话 - 免长途话费