摘要:多源遥感数据综合应用是遥感发展的必然趋势,统一的遥感数据空间尺度分级模型是多源数据集成与综合应用的基础。虽然已有多种空间尺度分级模型,但很多主流模型并非出于分尺度综合应用目的,缺乏客观的比较和评价。国家基本比例尺系统作为经过论证、中国应用面最广泛、接受度最高的一种尺度分级系统,是以应用为导向的遥感数据空间尺度分级模型的最优参照系。从不同视觉精度下国家基本比例尺对图像空间分辨率的需求出发,比较各空间尺度分级模型的层级分辨率与需求分辨率的匹配情况,包括OGC Well Known Scale Set的GlobalCRS84Pixel和GoogleMapsCompatible,以及NASA WorldWind、Google Map、百度地图、天地图等软件平台采用的层级格网系统,以及“五层十五级”遥感数据组织模型,通过对数据信息冗余度的分析,对各个模型进行了评价。结果表明,在高视觉精度应用需求下,“五层十五级”模型与基本比例尺精度要求具有较明显的匹配优势,其次为OGC GoogleMapsCompatible模型和天地图模型,其余模型平均数据冗余倍数在2倍左右;在低视觉精度应用需求下,“五层十五级”模型平均数据冗余度仍为最低,其次为Google Map模型,其余模型平均数据冗余倍数都在2倍以上。
摘要:Asia–Oceania GEOSS (AOGEOSS) initiative is a regional cooperation program on Earth observation with broad involvement to meet the strategic overall objectives of Group on Earth Observation (GEO). It aims to strengthen the comprehensive ability of Earth observation and applications for sustainable development at national, regional, and global levels. The initiative is jointly proposed by the Asia-Oceania Caucus members and open to all member states of the United Nation in the Asia-Oceania region and participating organizations of GEO. The AOGEOSS initiative will engage participants and stakeholders in the Asia–Oceania region and coordinate the observation infrastructure, leveraging the existing cooperation and conducting joint projects under the Asia-Oceania Caucus mechanism of intergovernmental GEO. Priorities will be regional application and services in accordance with regional sustainable issues with increasing concern.
摘要:The Silk Road Economic Belt and 21st Century Maritime Silk Road (hereinafter called Belt and Road) initiative was proposed in 2013. The comprehensive protection of the ecological environment of the Belt and Road region for Sustainable Development Goals 2030 (SDGs 2030) presents a challenge. Remote Sensing technology plays an important role in the monitoring and assessment of the ecological environment. In this research, the ecological environment status of the Belt and Road region in 2015 was monitored and analyzed as baseline of the SDGs 2030 by using multiscale, multisource remote sensing data. Several important ecological environmental issues of concern in SDGs 2030 were investigated, including macroscopic ecosystem patterns, vegetation status, solar energy resource distribution, water resource balance, main ecological environmental constraint factors on economic corridor construction, and major urban ecological quality. The monitored areas include Asia, Africa, Europe, and Oceania along the Belt and Road region. Results of this study provide useful basis for policy decision making in eco-environmental evaluation and protection and for the scientific implementation of the Belt and Road initiative.