所有 http://coastaldata.ecnu.edu.cn/zh-hans zh-hans 中国海岸带光伏电站数据集 http://coastaldata.ecnu.edu.cn/zh-hans/node/172 <span>中国海岸带光伏电站数据集</span> <div class="field field--name-field-cover-image field--type-image field--label-hidden field__item"> <div class="item-image"> <img src="/sites/default/files/2023-04/%E5%85%89%E4%BC%8F%E5%B0%81%E9%9D%A2%E5%9B%BE_1.jpg" alt="光伏电站" loading="lazy" typeof="foaf:Image" /> </div> </div> <span><span lang="" about="/zh-hans/user/31" typeof="schema:Person" property="schema:name" datatype="">wenhao</span></span> <span>周一, 04/24/2023 - 08:51</span> <div class="field field--name-field-category field--type-entity-reference field--label-above"> <div class="field__label">数据类目</div> <div class="field__items"> <div class="field__item"><a href="/en/taxonomy/term/20" hreflang="en">人类活动</a></div> <div class="field__item"><a href="/en/taxonomy/term/18" hreflang="en">中国</a></div> <div class="field__item"><a href="/zh-hans/taxonomy/term/37" hreflang="zh-hans">所有</a></div> </div> </div> <div class="field field--name-field-keywords field--type-string field--label-above"> <div class="field__label">关键词</div> <div class="field__item">光伏,中国</div> </div> <div class="field field--name-field-description field--type-text-long field--label-above"> <div class="field__label">数据描述</div> <div class="field__item"><p class="MsoNormal" style="text-indent:28.0pt;line-height:130%;layout-grid-mode:&#10;char"><span style="font-size:14.0pt;mso-bidi-font-size:16.0pt;line-height:130%;&#10;font-family:仿宋_GB2312">该产品基于<span lang="EN-US" xml:lang="EN-US">Sentinel-1</span>和<span lang="EN-US" xml:lang="EN-US">Sentinel-2</span>卫星影像数据,通过谷歌云计算平台构建了一种以光学、雷达及纹理信息等多图层信息作为输入参数的随机森林分类方法,获取了<span lang="EN-US" xml:lang="EN-US">2022</span>年中国沿海省市区光伏电站<span lang="EN-US" xml:lang="EN-US">10</span>米分辨率专题信息地图产品。<span lang="EN-US" xml:lang="EN-US"><p></p></span></span></p> <p class="MsoNormal" style="text-indent:28.0pt;line-height:130%;layout-grid-mode:&#10;char"><span style="font-size:14.0pt;mso-bidi-font-size:16.0pt;line-height:130%;&#10;font-family:仿宋_GB2312">该产品充分挖掘了中国沿海省市区光伏电站的光学、雷达反射散射特征与纹理特征,有效地缓解了在海岸带地区使用单一光学影像的云雾遮挡与地物混淆问题。算法包括图像增强、时序滤波、形态学处理、图像融合等关键技术。<span lang="EN-US" xml:lang="EN-US"><p></p></span></span></p> <p class="MsoNormal" style="text-indent:28.0pt;mso-char-indent-count:2.0;&#10;line-height:130%;layout-grid-mode:char"><span style="font-size:14.0pt;&#10;mso-bidi-font-size:16.0pt;line-height:130%;font-family:仿宋_GB2312">本产品实现了对全国沿海省市区光伏电站的快速提取,数据包含唯一标识符、光伏发电潜力、离岸距离、离岸缓冲区、主要地类、平均高程、主要坡地类型、水域占比、光伏电站类型、省份、省份(英文)、面积等字段,在海岸带光伏产业的可持续发展规划制定,光伏电站建设成本评估,粮食安全风险评价,土地资源管理以及生态环境保护方面具有重要的数据价值。<span lang="EN-US" xml:lang="EN-US"><p></p></span></span></p> <p class="MsoNormal" style="text-indent:28.0pt;line-height:130%;layout-grid-mode:&#10;char"><span style="font-size:14.0pt;mso-bidi-font-size:16.0pt;line-height:130%;&#10;font-family:仿宋_GB2312"><span lang="EN-US" xml:lang="EN-US"><p></p></span></span></p> </div> </div> Mon, 24 Apr 2023 06:51:35 +0000 wenhao 172 at http://coastaldata.ecnu.edu.cn 中国海岸带养殖塘数据集 http://coastaldata.ecnu.edu.cn/zh-hans/node/130 <span>中国海岸带养殖塘数据集</span> <div class="field field--name-field-cover-image field--type-image field--label-hidden field__item"> <div class="item-image"> <img src="/sites/default/files/2021-05/%E5%85%BB%E6%AE%96%E6%95%B0%E6%8D%AE%E5%B0%81%E9%9D%A2%E5%9B%BE.JPG" alt="养殖塘" loading="lazy" typeof="foaf:Image" /> </div> </div> <span><span lang="" about="/zh-hans/user/28" typeof="schema:Person" property="schema:name" datatype="">contentmananger</span></span> <span>周日, 05/16/2021 - 09:35</span> <div class="field field--name-field-category field--type-entity-reference field--label-above"> <div class="field__label">数据类目</div> <div class="field__items"> <div class="field__item"><a href="/en/taxonomy/term/20" hreflang="en">人类活动</a></div> <div class="field__item"><a href="/en/taxonomy/term/18" hreflang="en">中国</a></div> <div class="field__item"><a href="/zh-hans/taxonomy/term/37" hreflang="zh-hans">所有</a></div> </div> </div> <div class="field field--name-field-keywords field--type-string field--label-above"> <div class="field__label">关键词</div> <div class="field__item">养殖,中国</div> </div> <div class="field field--name-field-description field--type-text-long field--label-above"> <div class="field__label">数据描述</div> <div class="field__item"><p style="text-indent:28.0pt; text-align:justify"><span style="font-size:10.5pt"><span style="line-height:130%"><span style="layout-grid-mode:char"><span style="font-family:Calibri,sans-serif"><span style="font-size:14.0pt"><span style="line-height:130%"><span style="font-family:仿宋_GB2312">该数据集产品是利用云计算平台构建养殖池塘自动提取决策树模型,批量完成中国海岸带地区过去30年间9个时期的Landsat数据处理,最终获取中国滨海养殖池塘长时序、高精度的专题信息地图产品。</span></span></span></span></span></span></span></p> <p style="text-indent:28.0pt; text-align:justify"><span style="font-size:10.5pt"><span style="line-height:130%"><span style="layout-grid-mode:char"><span style="font-family:Calibri,sans-serif"><span style="font-size:14.0pt"><span style="line-height:130%"><span style="font-family:仿宋_GB2312">该产品充分挖掘滨海养殖池在空间特征、遥感光谱信息以及时序特征,解决了滨海养殖池由于水体和堤坝交织,利用遥感影像自动提取十分困难的问题。算法包括遥感图像特征增强、图形形态学处理、遥感图像图谱特征融合等关键技术。数据产品覆盖整个中国海岸带地区并呈现过去30年的时空变化,在一定程度上解决了现有数据集根据湿地或土地利用分类标准对养殖池定义不统一的问题。</span></span></span></span></span></span></span></p> <p style="text-indent:28.0pt; text-align:justify"><span style="font-size:10.5pt"><span style="line-height:130%"><span style="layout-grid-mode:char"><span style="font-family:Calibri,sans-serif"><span style="font-size:14.0pt"><span style="line-height:130%"><span style="font-family:仿宋_GB2312">该数据集产品利用高效养殖塘自动提取算法,具备数据更新快、普适性良好的优势,可作为产业管理和生态效应评估的基础数据,具有较大的社会服务潜在应用价值。利用时空分析整合得到的中国滨海地带养殖池塘的专题数据可弥补了现有数据集的一些不足,从而作为产业管理和生态效应评估的基础数据。</span></span></span></span></span></span></span></p> <p style="text-align:justify"> </p> </div> </div> Sun, 16 May 2021 07:35:15 +0000 contentmananger 130 at http://coastaldata.ecnu.edu.cn 中国河口岸滩演变数据集 http://coastaldata.ecnu.edu.cn/zh-hans/node/129 <span>中国河口岸滩演变数据集</span> <div class="field field--name-field-cover-image field--type-image field--label-hidden field__item"> <div class="item-image"> <img src="/sites/default/files/2021-09/%E5%B2%B8%E6%BB%A9%E6%BC%94%E5%8F%98%E6%95%B0%E6%8D%AE%E9%9B%86%E5%B0%81%E9%9D%A2%E5%9B%BE_0.jpg" alt="潮滩" loading="lazy" typeof="foaf:Image" /> </div> </div> <span><span lang="" about="/zh-hans/user/28" typeof="schema:Person" property="schema:name" datatype="">contentmananger</span></span> <span>周日, 05/16/2021 - 09:30</span> <div class="field field--name-field-category field--type-entity-reference field--label-above"> <div class="field__label">数据类目</div> <div class="field__items"> <div class="field__item"><a href="/en/taxonomy/term/23" hreflang="en">自然要素</a></div> <div class="field__item"><a href="/en/taxonomy/term/18" hreflang="en">中国</a></div> <div class="field__item"><a href="/zh-hans/taxonomy/term/37" hreflang="zh-hans">所有</a></div> </div> </div> <div class="field field--name-field-keywords field--type-string field--label-above"> <div class="field__label">关键词</div> <div class="field__item">潮滩,中国</div> </div> <div class="field field--name-field-description field--type-text-long field--label-above"> <div class="field__label">数据描述</div> <div class="field__item"><p style="text-indent:28.0pt; text-align:justify"><span style="font-size:10.5pt"><span style="line-height:130%"><span style="layout-grid-mode:char"><span style="font-family:Calibri,sans-serif"><span style="font-size:14.0pt"><span style="line-height:130%"><span style="font-family:仿宋_GB2312">该数据集产品利用云计算平台研制多源遥感数据潮滩自动提取算法,该算法包括包括三个步骤:(1)水体频次计算。利用水体指数与阈值方法自动分割水陆,计算影像栈中单个像元表现为水像元的频率;(2)多源结果合成。基于多源遥感水体频次结果,合成水体频次图;(3)潮滩区域确定。基于SRTM数据,掩膜潮滩上界,保留潮滩潜在区域;给定水体频率阈值,确定不同水频率下的潮滩区域。该算法整合了多源遥感数据,能够很好的克服潮位变化所带来的测图不确定性。</span></span></span></span></span></span></span></p> <p style="text-indent:28.0pt; text-align:justify"><span style="font-size:10.5pt"><span style="line-height:130%"><span style="layout-grid-mode:char"><span style="font-family:Calibri,sans-serif"><span style="font-size:14.0pt"><span style="line-height:130%"><span style="font-family:仿宋_GB2312">该产品是按年度收集了Sentinel-1 SAR,Sentinel-2以及Landsat-8等多源多时相影像数据,通过云计算进行大数据分析处理,从而得到中国三大河口(长江口、珠江口以及黄河口)的年度潮滩数据。基于自研的河口潮滩提取工具完成了中国三大河口潮滩的提取、分析与整合入库。利用研制的河口潮滩提取工具,有望解决大尺度潮滩高程测图的困难,目前正撰写相关SCI论文。该产品可运用于分析、模拟河口潮滩演变,为应对未来海平面上升可能带来的海岸威胁预制策略,并可应用于潮滩资源可持续管理中。</span></span></span></span></span></span></span></p> <p style="text-indent:28.0pt; text-align:justify"> </p> <p style="text-align:justify"> </p> </div> </div> Sun, 16 May 2021 07:30:27 +0000 contentmananger 129 at http://coastaldata.ecnu.edu.cn 全球三角洲河网数据集 http://coastaldata.ecnu.edu.cn/zh-hans/node/128 <span>全球三角洲河网数据集</span> <div class="field field--name-field-cover-image field--type-image field--label-hidden field__item"> <div class="item-image"> <img src="/sites/default/files/2021-09/%E6%B2%B3%E7%BD%91%E6%95%B0%E6%8D%AE%E5%B0%81%E9%9D%A2%E5%9B%BE_0.jpg" alt="河道网络" loading="lazy" typeof="foaf:Image" /> </div> </div> <span><span lang="" about="/zh-hans/user/28" typeof="schema:Person" property="schema:name" datatype="">contentmananger</span></span> <span>周日, 05/16/2021 - 09:26</span> <div class="field field--name-field-category field--type-entity-reference field--label-above"> <div class="field__label">数据类目</div> <div class="field__items"> <div class="field__item"><a href="/en/taxonomy/term/23" hreflang="en">自然要素</a></div> <div class="field__item"><a href="/en/taxonomy/term/17" hreflang="en">全球</a></div> <div class="field__item"><a href="/zh-hans/taxonomy/term/37" hreflang="zh-hans">所有</a></div> </div> </div> <div class="field field--name-field-keywords field--type-string field--label-above"> <div class="field__label">关键词</div> <div class="field__item">河网,全球</div> </div> <div class="field field--name-field-description field--type-text-long field--label-above"> <div class="field__label">数据描述</div> <div class="field__item"><p style="text-indent:28.0pt; text-align:justify"><span style="font-size:10.5pt"><span style="line-height:130%"><span style="layout-grid-mode:char"><span style="font-family:Calibri,sans-serif"><span style="font-size:14.0pt"><span style="line-height:130%"><span style="font-family:仿宋_GB2312">该数据集产品基于河网数据提取算法框架完成了全球35个三角洲河网的提取、分析与整合入库。主要利用自研的分析挖掘工具实现河流水体自动提取;河流边界确定;水文参量构建、赋值等功能。</span></span></span></span></span></span></span></p> <p style="text-indent:28.0pt; text-align:justify"><span style="font-size:10.5pt"><span style="line-height:130%"><span style="layout-grid-mode:char"><span style="font-family:Calibri,sans-serif"><span style="font-size:14.0pt"><span style="line-height:130%"><span style="font-family:仿宋_GB2312">该产品按年度收集Sentinel-1 SAR的多时相影像数据,通过云计算进行大数据分析处理得到全球的河口三角洲河网数据。同时,通过对SRTM高程数据进行大数据分析处理,提取了流向、流域等关键水文参量,并将这些水文属性整合到的河网分析数据中。形成的数据产品空间分辨率达到10m,河网水文属性包括流向、河流阶数、 宽度、长度、弯曲度、坡度、水文联通性。</span></span></span></span></span></span></span></p> <p style="text-indent:28.0pt; text-align:justify"><span style="font-size:10.5pt"><span style="line-height:130%"><span style="layout-grid-mode:char"><span style="font-family:Calibri,sans-serif"><span style="font-size:14.0pt"><span style="line-height:130%"><span style="font-family:仿宋_GB2312">该数据集产品与目前国际上使用较多的河网数据集相比,在实效性、空间分辨率以及水文属性量化上皆有提升。该产品可运用于分析三角洲河网演变、模拟河口三角洲的物质交换、模拟与预测不同河段流量以及防洪建设中。</span></span></span></span></span></span></span></p> <p style="text-align:justify"> </p> </div> </div> Sun, 16 May 2021 07:26:16 +0000 contentmananger 128 at http://coastaldata.ecnu.edu.cn 中国海岸带围垦数据集 http://coastaldata.ecnu.edu.cn/zh-hans/node/127 <span>中国海岸带围垦数据集</span> <div class="field field--name-field-cover-image field--type-image field--label-hidden field__item"> <div class="item-image"> <img src="/sites/default/files/2021-09/%E6%B5%B7%E5%B2%B8%E5%B8%A6%E5%9B%B4%E5%9E%A6%E5%B0%81%E9%9D%A2%E5%9B%BE201809_0.jpg" alt="围垦" loading="lazy" typeof="foaf:Image" /> </div> </div> <span><span lang="" about="/zh-hans/user/28" typeof="schema:Person" property="schema:name" datatype="">contentmananger</span></span> <span>周日, 05/16/2021 - 08:06</span> <div class="field field--name-field-category field--type-entity-reference field--label-above"> <div class="field__label">数据类目</div> <div class="field__items"> <div class="field__item"><a href="/en/taxonomy/term/20" hreflang="en">人类活动</a></div> <div class="field__item"><a href="/en/taxonomy/term/18" hreflang="en">中国</a></div> <div class="field__item"><a href="/zh-hans/taxonomy/term/37" hreflang="zh-hans">所有</a></div> </div> </div> <div class="field field--name-field-keywords field--type-string field--label-above"> <div class="field__label">关键词</div> <div class="field__item">围垦,中国</div> </div> <div class="field field--name-field-description field--type-text-long field--label-above"> <div class="field__label">数据描述</div> <div class="field__item"><p style="text-indent:28.0pt; text-align:justify"><span style="font-size:10.5pt"><span style="line-height:130%"><span style="layout-grid-mode:char"><span style="font-family:等线"><span style="font-size:14.0pt"><span style="line-height:130%"><span style="font-family:仿宋_GB2312">该数据集产品基于1985-2010年时间间隔5年的Landsat影像,结合遥感影像解译与空间分析,生产了中国海岸带区域围垦状态与变化数据。</span></span></span></span></span></span></span></p> <p style="text-indent:28.0pt; text-align:justify"><span style="font-size:10.5pt"><span style="line-height:130%"><span style="layout-grid-mode:char"><span style="font-family:等线"><span style="font-size:14.0pt"><span style="line-height:130%"><span style="font-family:仿宋_GB2312">该产品收集1985-2010年Landsat系列原始数据,利用遥感与GIS软件,对原始数据进行影像预处理工作,采用CRI(Coastal Reclamation Intensity)作为某一特定年份的围垦密度指数,并结合人口,经济,城市化数据对海岸带围垦进行驱动分析。</span></span></span></span></span></span></span></p> <p style="text-indent:28.0pt; text-align:justify"><span style="font-size:10.5pt"><span style="line-height:130%"><span style="layout-grid-mode:char"><span style="font-family:等线"><span style="font-size:14.0pt"><span style="line-height:130%"><span style="font-family:仿宋_GB2312">该数据集产品实现了对中国海岸带围垦区域的提取,有利于长期以生态系统为基础的沿海保护和管理,对支持中国未来的可持续沿海生态系统至关重要。</span></span></span></span></span></span></span></p> </div> </div> Sun, 16 May 2021 06:06:51 +0000 contentmananger 127 at http://coastaldata.ecnu.edu.cn 全球海上风电数据集 http://coastaldata.ecnu.edu.cn/zh-hans/node/126 <span>全球海上风电数据集</span> <div class="field field--name-field-cover-image field--type-image field--label-hidden field__item"> <div class="item-image"> <img src="/sites/default/files/2021-05/%E9%A3%8E%E7%94%B5%E6%95%B0%E6%8D%AE%E5%B0%81%E9%9D%A2%E5%9B%BE.JPG" alt="风电" loading="lazy" typeof="foaf:Image" /> </div> </div> <span><span lang="" about="/zh-hans/user/28" typeof="schema:Person" property="schema:name" datatype="">contentmananger</span></span> <span>周日, 05/16/2021 - 08:02</span> <div class="field field--name-field-category field--type-entity-reference field--label-above"> <div class="field__label">数据类目</div> <div class="field__items"> <div class="field__item"><a href="/en/taxonomy/term/20" hreflang="en">人类活动</a></div> <div class="field__item"><a href="/en/taxonomy/term/17" hreflang="en">全球</a></div> <div class="field__item"><a href="/zh-hans/taxonomy/term/37" hreflang="zh-hans">所有</a></div> </div> </div> <div class="field field--name-field-keywords field--type-string field--label-above"> <div class="field__label">关键词</div> <div class="field__item">风电,中国</div> </div> <div class="field field--name-field-description field--type-text-long field--label-above"> <div class="field__label">数据描述</div> <div class="field__item"><p style="text-indent:28.0pt; text-align:justify"><span style="font-size:10.5pt"><span style="line-height:130%"><span style="layout-grid-mode:char"><span style="font-family:Calibri,sans-serif"><span style="font-size:14.0pt"><span style="line-height:130%"><span style="font-family:仿宋_GB2312">该数据集产品基于时序像素动态阈值法完成了中国海岸带风电站点的自动提取,构建历史分析等功能。</span></span></span></span></span></span></span></p> <p style="text-indent:28.0pt; text-align:justify"><span style="font-size:10.5pt"><span style="line-height:130%"><span style="layout-grid-mode:char"><span style="font-family:Calibri,sans-serif"><span style="font-size:14.0pt"><span style="line-height:130%"><span style="font-family:仿宋_GB2312">该产品收集全年时序sentinel-1合成孔径雷达(SAR)原始数据,利云计算平台,对原始数据进行边界噪声消除等预处理工作,采用基于像素的自适应阈值提取高后向散射目标,并对提取结果进行滤波处理、形态学操作等后处理工作。消除了提取结果中的噪声影响及岛屿、石油钻井平台等干扰目标。</span></span></span></span></span></span></span></p> <p style="text-indent:28.0pt; text-align:justify"><span style="font-size:10.5pt"><span style="line-height:130%"><span style="layout-grid-mode:char"><span style="font-family:Calibri,sans-serif"><span style="font-size:14.0pt"><span style="line-height:130%"><span style="font-family:仿宋_GB2312">该数据集产品实现了对中国海上风电的快速准确提取,有效避免了海面水汽和云雾对提取结果的影响。在有效去除噪声和可疑目标后,利用一种基于像素的动态阈值法对海上风电场进行提取,改善了单一固定阈值在不同的地区、不同环境下容易遗漏识别对象或识别出过多噪声的情况。同时,本产品生产方法稳定可重复,相比传统的小区域分类方法,具有工作量小、操作简单、效率高、鲁棒性强等优势。该产品数据能够准确提供我国海上风电的分布和状态,作为完备的海上基础设施数据集,对海上航道的安全、环境评估,以及后续的风能规划等都有很大的帮助。</span></span></span></span></span></span></span></p> </div> </div> Sun, 16 May 2021 06:02:30 +0000 contentmananger 126 at http://coastaldata.ecnu.edu.cn 中国海岸线数据集 http://coastaldata.ecnu.edu.cn/zh-hans/node/125 <span>中国海岸线数据集</span> <div class="field field--name-field-cover-image field--type-image field--label-hidden field__item"> <div class="item-image"> <img src="/sites/default/files/2021-09/%E5%B2%B8%E7%BA%BF%E6%95%B0%E6%8D%AE%E9%9B%86%E5%B0%81%E9%9D%A2%E5%9B%BE.jpg" alt="海岸线" loading="lazy" typeof="foaf:Image" /> </div> </div> <span><span lang="" about="/zh-hans/user/28" typeof="schema:Person" property="schema:name" datatype="">contentmananger</span></span> <span>周日, 05/16/2021 - 07:17</span> <div class="field field--name-field-category field--type-entity-reference field--label-above"> <div class="field__label">数据类目</div> <div class="field__items"> <div class="field__item"><a href="/en/taxonomy/term/23" hreflang="en">自然要素</a></div> <div class="field__item"><a href="/en/taxonomy/term/18" hreflang="en">中国</a></div> <div class="field__item"><a href="/zh-hans/taxonomy/term/37" hreflang="zh-hans">所有</a></div> </div> </div> <div class="field field--name-field-keywords field--type-string field--label-above"> <div class="field__label">关键词</div> <div class="field__item">岸线,中国</div> </div> <div class="field field--name-field-description field--type-text-long field--label-above"> <div class="field__label">数据描述</div> <div class="field__item"><p style="text-indent:28.0pt; text-align:justify"><span style="font-size:10.5pt"><span style="line-height:130%"><span style="layout-grid-mode:char"><span style="font-family:Calibri,sans-serif"><span style="font-size:14.0pt"><span style="line-height:130%"><span style="font-family:仿宋_GB2312">该数据集产品是基于1985-2020年时间间隔5年的30m分辨率Landsat多光谱卫星和10m分辨率的Sentinel-2多光谱卫星获得的长时间序列中国海岸带岸线数据集。</span></span></span></span></span></span></span></p> <p style="text-indent:28.0pt; text-align:justify"><span style="font-size:10.5pt"><span style="line-height:130%"><span style="layout-grid-mode:char"><span style="font-family:Calibri,sans-serif"><span style="font-size:14.0pt"><span style="line-height:130%"><span style="font-family:仿宋_GB2312">该产品主要采用人机交互的目视解译方法,对中国海岸带现有的年度岸线数据进行生产,所有数据都利用高分卫星数据进行了产品质量检查。根据卫星数据集的分辨率情况,2015年及以前的数据空间分辨率为30m,2020年起数据分辨率上升至了10m。</span></span></span></span></span></span></span></p> <p style="text-indent:28.0pt; text-align:justify"><span style="font-size:10.5pt"><span style="line-height:130%"><span style="layout-grid-mode:char"><span style="font-family:Calibri,sans-serif"><span style="font-size:14.0pt"><span style="line-height:130%"><span style="font-family:仿宋_GB2312">该数据集产品覆盖中国大陆沿海各省份,为目前国内外较新的高分辨率岸线数据,也是目前长时序、高分辨率、覆盖面广的岸线数据产品之一。</span></span></span></span></span></span></span></p> </div> </div> Sun, 16 May 2021 05:17:37 +0000 contentmananger 125 at http://coastaldata.ecnu.edu.cn 长江河口潮滩监视成像系统数据集 http://coastaldata.ecnu.edu.cn/zh-hans/node/131 <span>长江河口潮滩监视成像系统数据集</span> <div class="field field--name-field-cover-image field--type-image field--label-hidden field__item"> <div class="item-image"> <img src="/sites/default/files/2021-09/%E9%95%BF%E6%B1%9F%E6%B2%B3%E5%8F%A3%E6%BD%AE%E6%BB%A9%E7%9B%91%E8%A7%86%E6%88%90%E5%83%8F%E7%B3%BB%E7%BB%9F%E6%95%B0%E6%8D%AE%E5%B0%81%E9%9D%A2%E5%9B%BE_0.jpg" alt="监视成像" loading="lazy" typeof="foaf:Image" /> </div> </div> <span><span lang="" about="/zh-hans/user/28" typeof="schema:Person" property="schema:name" datatype="">contentmananger</span></span> <span>周四, 06/18/2020 - 09:38</span> <div class="field field--name-field-category field--type-entity-reference field--label-above"> <div class="field__label">数据类目</div> <div class="field__items"> <div class="field__item"><a href="/en/taxonomy/term/19" hreflang="en">实时观测</a></div> <div class="field__item"><a href="/zh-hans/taxonomy/term/37" hreflang="zh-hans">所有</a></div> </div> </div> <div class="field field--name-field-keywords field--type-string field--label-above"> <div class="field__label">关键词</div> <div class="field__item">潮滩,长江口</div> </div> <div class="field field--name-field-description field--type-text-long field--label-above"> <div class="field__label">数据描述</div> <div class="field__item"><p style="text-indent:28.0pt; text-align:justify"><span style="font-size:10.5pt"><span style="line-height:130%"><span style="layout-grid-mode:char"><span style="font-family:Calibri,sans-serif"><span style="font-size:14.0pt"><span style="line-height:130%"><span style="font-family:仿宋_GB2312">长江口岸滩实时视频观测数据,涵盖约2公里的海岸带区域,以小时间隔采集的实时图像数据。</span></span></span></span></span></span></span></p> <p style="text-align:justify"> </p> </div> </div> Thu, 18 Jun 2020 07:38:45 +0000 contentmananger 131 at http://coastaldata.ecnu.edu.cn