表面粗糙对渤海海冰热红外辐射方向特征的影响研究

热红外遥感技术使大范围、快速地监测渤海海冰表面温度成为可能。然而,目前绝大多数遥感器都是小视场角的,只对海冰在某个方向上的辐射能量进行了测量。由于自然界的海冰大多数都是高低起伏的、不平坦的,如果近似地认为遥感像元尺度内各部分温度是相同的,有时会带来较大误差。在盛冰期的渤海辽东湾东岸固定冰区,分别用3D激光扫描仪、热红外成像仪和自计温度计测量了渤海海冰的表面形状、辐射亮温和真实温度。结果表明,由于海冰表面粗糙,会形成三维非同温像元。同时,也会导致传感器在粗糙海冰的各个部分的局部观测天顶角与整体观测天顶角有所不同,造成粗糙海冰与平整海冰的方向辐射特征有较大差异,平整海冰更接近理想平面,粗糙海冰更接近朗伯面。     

近40年来海州湾海岸线时空变化分析

以Landsat MSS、TM、ETM+影像和HJ-1A CCD1影像为数据源,对海州湾大陆海岸线1973-2013年的变迁进行了连续监测,定量获取了海岸线信息,解译了岸线摆动区内土地利用类型,对近40 a来海州湾大陆海岸线时空变化和海岸开发方式进行了系统分析.结果表明:海州湾岸线长度及类型动态变化显著,岸线长度整体增加,海湾面积不断减少,岸线类型以人工岸线为主;岸线整体向海推进导致陆域面积净增65.54 km2,变迁速率时空分布不均,变迁主要发生在岚山港、绣针河口至柘汪河口、兴庄河口至西墅、连云港港岸段,城镇扩张导致20t0-2013年变迁最为剧烈,速率达122.9m/a;海岸人为开发是海州湾岸线变化的主导因素,且开发方式时间异质性显著,早期以盐业、养殖业为主,20世纪80年代开始港口码头建设比例显著增加,进入新世纪以来,用于城镇建设的围填海规模大幅增长,尤其是2010年之后已成为海州湾地区海岸开发的首要方式.     

我国海岸潟湖卫星遥感分类方法研究

参照Landsat-5TM和HJ-1CCD遥感影像,依据实地踏勘资料及解译经验,分析各种海岸潟湖地貌学成因和发育演变阶段,提出基于潟湖地貌学成因的遥感分类方法。并将我国海岸潟湖划分为滨外坝型、沙坝型、沙嘴型、湾顶坝型、连岛坝型和河口型共6种地貌类型。建立基于发育演变阶段的潟湖遥感分类标准,将海岸潟湖分为青壮年期、老年期和死亡期共3个发育演变过程;结合潟湖在影像中的特征,以近红外、红、绿波段组合后的假彩色影像为例,从色彩、纹理、地物邻接关系等方面建立不同潟湖类型的遥感解译标志;根据所建立的遥感解译标志,对山东省53个海岸潟湖进行遥感分类验证,结果吻合。     

深部地质结构对浅层地质与成矿作用的制约——以中国东部大陆及海区为例

根据十余年来参加中国岩石圈三维结构研究和国际合作编图资料,将深部地质结构与浅层地质、成矿特征进行统一的综合分析研究,对中国东部及邻近海域地质构造取得一些新认识,提出一些新观点:(1)在中国大陆及邻近海域400 km深度内,划分出5层地质结构,其中第3、4层之间的变化制约了浅层地质与成矿作用;(2)中国大陆及海区受周边动力挤压,其中西部挤压力大于东部,导致西部软流圈物质经4条路径向东流动,使东部汇聚巨大巨厚的软流圈,形成独特的软流圈巨量热能(力)-动力主体动力区,构成了亚洲大陆第4个主体动力区;(3)太平洋板块俯冲力制约了北纬42°40'以北的完达山及俄罗斯远东地区,菲律宾海板块俯冲力制约了台湾和中国东南沿海地区,二者的动力之和构成了阻挡软流圈物质向东部洋区流动的"远程力效应";(4)软流圈巨量热能(力)-动力作用的主体动力区打造了中国东部及海区7项地质、地貌特征和三大类矿产资源效应。其中岩浆活动与化石燃料矿产(石油、天然气、煤)之间不是"水火不相容",而是岩浆活动为提升油-气成熟度和煤化作用及变质作用提供了重要的温度条件;(5)软流圈巨量热能(力)-动力作用打造了中国东部及海区一些独有的地质作用:①形成了新生代南海小洋盆,并向巴拉望岛俯冲。②产生了新生代陆缘裂谷带,形成了琼州海峡、台湾海峡,并向台湾岛轻度俯冲。③大面积的巨厚软流圈是一座"巨型岩浆山",成为东部及海区"地幔柱"的统一"根基"。地幔柱实际上是巨大"岩浆山"中的"岩浆山峰",今后会发现更多"地幔柱"(即"岩浆山峰")。④中国东部地震除吉林省珲春地区的深源地震(540 km)外,朝鲜半岛及其以西的中国东部和海区均为浅源与中深源地震(震源深度小于100 km),其主体动力都来自本区巨量热能(力)-动力源,太平洋板块-菲律宾海板块的联合俯冲力只起了"远程力效应"的深部侧向挤压辅助作用。⑤巨量热能(力)-动力作用形成了一系列盆-山耦合带,组成了中国东部及海区中-新生代"盆-山耦合群","盆"里有油气资源,"山"里有内生矿产。     

Application research of narrow band Internet of things buoy and surface hydrodynamics monitoring

This paper applies the narrow band Internet of things communication technology to develop a wireless network equipment and communication system, which can quickly set up a network with a radius of 100 km on water surface. A disposable micro buoy based on narrow-band Internet of things and Beidou positioning function is also developed and used to collect surface hydrodynamic data online. In addition, a web-based public service platform is designed for the analysis and visualization of the data collected by buoys. Combined with the satellite remote sensing data, the study carries a series of marine experiments and studies such as sediment deposition tracking and garbage floating tracking.     

Remote sensing of water depths in shallow waters via artificial neural networks

Determination of the water depths in coastal zones is a common requirement for the majority of coastal engineering and coastal science applications. However, production of high quality bathymetric maps requires expensive field survey, high technology equipment and expert personnel. Remotely sensed images can be conveniently used to reduce the cost and labor needed for bathymetric measurements and to overcome the difficulties in spatial and temporal depth provision. An Artificial Neural Network (ANN) methodology is introduced in this study to derive bathymetric maps in shallow waters via remote sensing images and sample depth measurements. This methodology provides fast and practical solution for depth estimation in shallow waters, coupling temporal and spatial capabilities of remote sensing imagery with modeling flexibility of ANN. Its main advantage in practice is that it enables to directly use image reflectance values in depth estimations, without refining depth-caused scatterings from other environmental factors (e.g. bottom material and vegetation). Its function-free structure allows evaluating nonlinear relationships between multi-band images and in-situ depth measurements, therefore leads more reliable depth estimations than classical regressive approaches. The west coast of the Foca, Izmir/Turkey was used as a test bed. Aster first three band images and Quickbird pan-sharpened images were used to derive ANN based bathymetric maps of this study area. In-situ depth measurements were supplied from the General Command of Mapping, Turkey (HGK). Two models were set, one for Aster and one for Quickbird image inputs. Bathymetric maps relying solely on in-situ depth measurements were used to evaluate resultant derived bathymetric maps. The efficiency of the methodology was discussed at the end of the paper. It is concluded that the proposed methodology could decrease spatial and repetitive depth measurement requirements in bathymetric mapping especially for preliminary engineering application.     

Suspended particulate matter in the St. Lawrence estuary and Gulf surface layer and development of a remote sensing algorithm

Remote sensing of chlorophyll concentration is potentially affected by the presence of inorganic matter in the water column. Seasonal variability of total suspended particulate matter (SPM) concentration and its partition into organic and inorganic fractions was thus measured in the estuary and Gulf of St. Lawrence during five cruises. These measures were made in the surface layer down to the depth of the 0.1% light level. Results indicate that vertical variability was small for the entire study area. Data analysis lead to the definition of two main regions having different SPM characteristics: 1) the estuary zone characterized by a strong spatial variability, intermediate SPM concentrations and a clear spring phytoplankton bloom that is combined to an increased inorganic matter load; 2) the gulf region characterized by a relatively low SPM concentration and phytoplankton blooms in the spring and fall periods. Combined with in situ measurements of remote sensing reflectances, the database was used to validate existing inorganic matter retrieval algorithms and develop a new one better adapted to the low concentrations encountered in the St. Lawrence estuary and Gulf.     

基于北京一号影像的射阳河口无机氮磷营养盐监测研究

通过在射阳河口现场采集光谱和水样,将实测光谱重采样为北京一号的波段反射率并与可溶性无机氮（DIN）和可溶性无机磷（DIP）浓度作相关性分析,结果表明,北京一号的近红外和红波段与DIN和DIP浓度呈强烈的正相关,这反映了沉积物的再悬浮作用是该海域营养盐的重要来源,波段组合因子中与DIN、DIP浓度相关性高的主要是由近红外波段与绿波段以及红波段与绿波段的比值或差值构成的因子,其相关性高于单波段因子。最终选择因子F10（3,1）的三次多项式模型作为该海域DIN、DIP浓度定量反演模型。模型相对浓度较高的样本组（DIN≥200g/L,DIP≥20g/L）的预测精度分别为73.69%和73.45%,而该海域DIN、DIP浓度的均值远远超过了上述阈值,影像反演结果也与实际情况高度吻合,反映了模型在该海域的实际应用价值。     

Comparison of AVHRR measurements of sea surface temperature with surface observations around New Zealand

Multi‐channel Advanced Very‐High Resolution Radiometer (AVHRR) images of sea surface temperature (SST) in the New Zealand region have been archived since 1989. A comparison of these data with conductivity‐temperature‐depth (CTD) and expendable bathythermograph (XBT) data shows that the AVHRR temperatures are about 7% too high (when expressed in °C). Once the AVHRR temperatures have been corrected, they measure SST with an uncertainty of about 0.7°C.