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<ul class="blog-info col-md-12 col-sm-12 text-center" style="margin: 10px 0;padding-top: 10px;border-bottom: 2px #ddd solid;"> <li class=" text-center "><span data-i18n-text='news-author'></span>：NESDC</li> &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; <li class=" text-center"><span data-i18n-text='news-ReleaseTime'></span>：2024-10-28</li> </ul> <p><p style="margin-bottom:10px;text-indent:37px;text-autospace:ideograph-numeric;text-align:justify;text-justify:inter-ideograph;line-height:150%"><span style=";font-family:微软雅黑;line-height:150%;font-size:19px">近期</span><span style=";font-family:微软雅黑;line-height:150%;font-size:19px">，</span><span style=";font-family:微软雅黑;line-height:150%;font-size:19px">中国科学院地理科学与资源研究所全球变化与农业生态系统团队（负责人</span><span style=";font-family:微软雅黑;line-height:150%;font-size:19px">：</span><span style=";font-family:微软雅黑;line-height:150%;font-size:19px">陶福禄</span><span style=";font-family:微软雅黑;line-height:150%;font-size:19px">）</span><span style=";font-family:微软雅黑;line-height:150%;font-size:19px">通过</span><span style=";font-family:微软雅黑;line-height:150%;font-size:19px">生态网络云平台</span><span style=";font-family:微软雅黑;line-height:150%;font-size:19px"><span style="font-family:微软雅黑">（</span><span style="font-family:微软雅黑">https://</span></span><span style=";font-family:微软雅黑;line-height:150%;font-size:19px">www.</span><span style=";font-family:微软雅黑;line-height:150%;font-size:19px">nesdc.org.cn</span><span style=";font-family:微软雅黑;line-height:150%;font-size:19px">）发布了</span><span style=";font-family:微软雅黑;line-height:150%;font-size:19px">2019年全国稻田节水灌溉与常规灌溉分类数据集，用户</span><span style=";font-family:微软雅黑;line-height:150%;font-size:19px">可在线</span><span style=";font-family:微软雅黑;line-height:150%;font-size:19px">访问</span><span style=";font-family:微软雅黑;line-height:150%;font-size:19px">获取</span><span style=";font-family:微软雅黑;line-height:150%;font-size:19px">数据</span><span style=";font-family:微软雅黑;line-height:150%;font-size:19px">。相关</span><span style=";font-family:微软雅黑;line-height:150%;font-size:19px">研究</span><span style=";font-family:微软雅黑;line-height:150%;font-size:19px"><span style="font-family:微软雅黑">成果以</span><span style="font-family:微软雅黑">“</span></span><span style=";font-family:微软雅黑;line-height:150%;font-size:19px">Mapping irrigation regimes in Chinese paddy lands through multi-source data assimilation</span><span style=";font-family:微软雅黑;line-height:150%;font-size:19px">”为题</span><span style=";font-family:微软雅黑;line-height:150%;font-size:19px">发表</span><span style=";font-family:微软雅黑;line-height:150%;font-size:19px">在</span><span style=";font-family:微软雅黑;line-height:150%;font-size:19px">Agricultural Water Management期刊</span><span style=";font-family:微软雅黑;line-height:150%;font-size:19px">。</span></p><p style="margin-bottom:10px;text-indent:37px;text-autospace:ideograph-numeric;text-align:justify;text-justify:inter-ideograph;line-height:150%"><span style=";font-family:微软雅黑;line-height:150%;font-size:19px">水稻种植是全球重要的甲烷排放来源之一，而水稻的灌溉制度对稻田甲烷排放具有显著影响。了解稻田灌溉制度可为政策制定者提供科学依据，以实现智慧农业的发展，然而目前却缺少稻田灌溉制度的空间分类数据。</span></p><p style="margin-bottom:10px;text-indent:37px;text-autospace:ideograph-numeric;text-align:justify;text-justify:inter-ideograph;line-height:150%"><span style=";font-family:微软雅黑;line-height:150%;font-size:19px"><span style="font-family:微软雅黑">研究团队基于多数据融合的方式，生成了全国</span><span style="font-family:微软雅黑">500m稻田节水灌溉、常规灌溉分类数据，其主要制备流程（图1）包括：首先对高程、坡度、地表温度等7种代用指标进行阈值分割，产生节水灌溉/常规灌溉样本点；其次使用MODIS数据和Sentinel数据合成水稻生长季内包括NDVI、EVI在内的特征波段；然后使用随机森林方法训练分类器，并将分类器用于全国的特征波段，产生分类地图；最后使用面积统计数据与地面站点对分类结果进行精度验证。</span></span></p><p style="margin-bottom:10px;text-indent:37px;text-autospace:ideograph-numeric;text-align:justify;text-justify:inter-ideograph;line-height:150%"><span style=";font-family:微软雅黑;line-height:150%;font-size:19px"><span style="font-family:微软雅黑">分类结果</span><span style="font-family:微软雅黑">(图2</span></span><span style=";font-family:微软雅黑;line-height:150%;font-size:19px">)</span><span style=";font-family:微软雅黑;line-height:150%;font-size:19px"><span style="font-family:微软雅黑">表明，</span><span style="font-family:微软雅黑">2019 年全国节水灌溉水稻的种植面积约为 1.07×10</span></span><sup><span style=";font-family:微软雅黑;line-height:150%;font-size:19px;vertical-align:superfont-family:微软雅黑">7</span></sup><span style=";font-family:微软雅黑;line-height:150%;font-size:19px">&nbsp;<span style="font-family:微软雅黑">ha，占水稻种植总面积的 43.1%，估算的节水灌溉面积略高于统计数据的面积（1.01×10</span></span><sup><span style=";font-family:微软雅黑;line-height:150%;font-size:19px;vertical-align:superfont-family:微软雅黑">7</span></sup><span style=";font-family:微软雅黑;line-height:150%;font-size:19px">&nbsp;<span style="font-family:微软雅黑">ha）。东北、华北、西北、西南、华南和华东地区估计的节水灌溉面积分别为 4.43 Mha、1.00 Mha、0.52 Mha、0.96 Mha、2.77 Mha、1.06 Mha</span></span><span style=";font-family:微软雅黑;line-height:150%;font-size:19px">&nbsp;</span><span style=";font-family:微软雅黑;line-height:150%;font-size:19px">(1 Mha = 1×10</span><sup><span style=";font-family:微软雅黑;line-height:150%;font-size:19px;vertical-align:superfont-family:微软雅黑">6 </span></sup><span style=";font-family:微软雅黑;line-height:150%;font-size:19px">ha)。与单季稻相比，双季稻中的节水灌溉更为普遍。在单季稻中，节水灌溉面积约为 7.93×10</span><sup><span style=";font-family:微软雅黑;line-height:150%;font-size:19px;vertical-align:superfont-family:微软雅黑">6</span></sup><span style=";font-family:微软雅黑;line-height:150%;font-size:19px">&nbsp;<span style="font-family:微软雅黑">ha，占单季稻总面积的 42.3%；而在双季稻中，节水灌溉面积为 2.82×10</span></span><sup><span style=";font-family:微软雅黑;line-height:150%;font-size:19px;vertical-align:superfont-family:微软雅黑">6</span></sup><span style=";font-family:微软雅黑;line-height:150%;font-size:19px">&nbsp;<span style="font-family:微软雅黑">ha，占双季稻总面积的 46.8%。</span></span></p><p style="text-indent:0;text-autospace:ideograph-numeric;text-align:center;line-height:150%"><img src="https://ecodata.cern.ac.cn/homePath/content/img/.png" _src="https://ecodata.cern.ac.cn/homePath/content/img/.png"/><span style=";font-family:Calibri;line-height:150%;font-size:19px">&nbsp;</span></p><p style="margin-bottom:10px;text-indent:0;text-autospace:ideograph-numeric;text-align:center;line-height:150%"><span style=";font-family:微软雅黑;line-height:150%;font-size:14px">图</span><span style=";font-family:微软雅黑;line-height:150%;font-size:14px">1</span><span style=";font-family:微软雅黑;line-height:150%;font-size:14px">.</span><span style=";font-family:微软雅黑;line-height:150%;font-size:14px">&nbsp;</span><span style=";font-family:微软雅黑;line-height:150%;font-size:14px">数据</span><span style=";font-family:微软雅黑;line-height:150%;font-size:14px">制备</span><span style=";font-family:微软雅黑;line-height:150%;font-size:14px">流程图</span></p><p style="margin-bottom:10px;text-indent:0;text-autospace:ideograph-numeric;text-align:center;line-height:150%"><span style=";font-family:微软雅黑;line-height:150%;font-size:14px"><br/></span></p><p style="text-indent:0;text-autospace:ideograph-numeric;text-align:center;line-height:150%"><img src="https://ecodata.cern.ac.cn/homePath/content/img/.png" _src="https://ecodata.cern.ac.cn/homePath/content/img/.png"/><span style="font-family: &#39;Microsoft YaHei UI&#39;;line-height: 150%;letter-spacing: 1px;font-size: 19px">&nbsp;</span></p><p style="margin-bottom:10px;text-indent:28px;text-autospace:ideograph-numeric;text-align:center;line-height:150%"><span style=";font-family:微软雅黑;line-height:150%;font-size:14px"><span style="font-family:微软雅黑">图</span><span style="font-family:微软雅黑">2</span></span><span style=";font-family:微软雅黑;line-height:150%;font-size:14px">. </span><span style=";font-family:微软雅黑;line-height:150%;font-size:14px">2019年全国稻田常规灌溉(FI)和节水灌溉(WI)分类图</span></p><p style="margin-bottom:10px;text-indent:37px;text-autospace:ideograph-numeric;text-align:justify;text-justify:inter-ideograph;line-height:150%"><span style=";font-family:微软雅黑;line-height:150%;font-size:19px"><span style="font-family:微软雅黑">该项研究工作和数据制备得到了国家自然科学基金（</span><span style="font-family:微软雅黑">）等项目的资助。</span></span></p><p style="margin-bottom:10px;text-indent:37px;text-autospace:ideograph-numeric;text-align:justify;text-justify:inter-ideograph;line-height:150%"><span style=";font-family:微软雅黑;line-height:150%;font-size:19px">&nbsp;</span></p><p style="margin-bottom:10px;text-indent:37px;text-autospace:ideograph-numeric;text-align:justify;text-justify:inter-ideograph;line-height:150%"><strong><span style=";font-family:微软雅黑;line-height:150%;font-size:19px">论文信息</span></strong><span style=";font-family:微软雅黑;line-height:150%;font-size:19px">：</span><em><span style=";font-family:微软雅黑;line-height:150%;font-size:19px">&nbsp;</span></em><em><span style=";font-family:微软雅黑;line-height:150%;font-size:19px">Wang Y, Tao F, Chen Y, &amp; Yin L (2024) Mapping irrigation regimes in Chinese paddy lands through multi-source data assimilation. Agricultural Water Management 304:. https://doi.org/10.1016/j.agwat.2024..</span></em><em></em></p><p style="margin-bottom:10px;text-indent:37px;text-autospace:ideograph-numeric;text-align:justify;text-justify:inter-ideograph;line-height:150%"><strong><span style=";font-family:微软雅黑;line-height:150%;font-size:19px">数据链接</span></strong><span style=";font-family:微软雅黑;line-height:150%;font-size:19px">：</span><span style=";font-family:微软雅黑;line-height:150%;font-size:19px">&nbsp;</span><span style="text-decoration:underline;"><span style="font-family: 微软雅黑;line-height: 150%;color: rgb(0, 38, 229);font-size: 19px">点击这里</span></span></p><p><br/></p>