http://coastaldata.ecnu.edu.cn/en en http://coastaldata.ecnu.edu.cn/en/node/117 <span>中国海岸带盐沼数据集</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/%E7%9B%90%E6%B2%BC%E5%B0%81%E9%9D%A2%E5%9B%BE_0.jpg" alt="盐沼" loading="lazy" typeof="foaf:Image" /> </div> </div> <span><span lang="" about="/en/user/28" typeof="schema:Person" property="schema:name" datatype="">contentmananger</span></span> <span>Wed, 06/16/2021 - 14:11</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">盐沼植被，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">该数据集产品基于专家知识的自动分类决策树算法，完成了覆盖中国大陆沿海的10m分辨率盐沼植被解译，包含芦苇、碱蓬、海三棱藨草、互花米草等四种盐沼植被。</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">该产品基于全年长时序的Sentinel-1合成孔径雷达数据集，根据环境气候因素对中国海岸带进行区划划分，通过大量实测样本和高分辨率提取样本数据集，利用大数据和云计算研制中国海岸带地区盐沼植被自动分类算法，形成了10m分辨率的高精度盐沼植被数据集。</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">该数据集产品是目前较新的、经过同行评议的、覆盖面广、空间分辨率较高的，对国内外开放共享的中国海岸带盐沼植被数据产品，相关科研文章已经过同行评议并在领域内国际顶级期刊发表。</span></span></span></span></span></span></span></p> <p style="text-align:justify"> </p> </div> </div> Wed, 16 Jun 2021 12:11:05 +0000 contentmananger 117 at http://coastaldata.ecnu.edu.cn