Abstract：
Carbon emissions have a negative impact on climate change. Environmental quality has faced significant challenges in the last decades. Eco-environmental quality helps assess the condition of the ecological environment to support humans\' civilization and development. By using emissions raster dataset, remote sensing images, and LULC data, this study explores the status of carbon emissions (CE), eco-environmental quality (RSEICs), and the dynamic relationship between both variables in Samarinda Metropolitan Area, Indonesia. This study uses the spatiotemporal approach to deepen the understanding of CE-RSEICs during 2000-2021. The methods include the analysis of CE and the principal component of RSEICs. To understand the CE-RSEICs spatial features, the directional distribution ellipse method is used. Also, this study performs CE-RSEICs coupling analysis and identifies its LULC type composition. The findings show that CE status is still on an increasing trend, concentrating in the eastern region and keeping expanding during the period. The location of the low-emission ellipse is in the southwest, while the high-emission ellipse is in the east and intersects with the core cities. The mean RSEICs value is between 0.2878 to 0.4223, which indicates that the eco-environmental quality is categorized as fairly poor to inferior. Greenness, wetness, and Csink have a positive impact on RSEICs. The very poor-class ellipse is located in the inland region, and the very good-class ellipse is in the coastal area. The CE-RSEICs coupling status shows that the majority of the area has a weaker coupling degree. However, the higher coupling degree is concentrated in the population center and built-up region, which is the settlement area. The dominance composition of settlement area in higher coupling degree shows that settlement area has an impact on increasing CE-RSEICs coupling degree. So, sustainable low carbon development in coastal metropolitan area must continue to be carried out by considering CE-RSEICs and its spatial aspects.
摘要：
碳排放对气候变化有负面影响。在过去的几十年中，环境质量面临着巨大的挑战。生态环境质量有助于评估生态环境状况，以支持人类的文明和发展。通过使用排放栅格数据集，遥感图像，和LULC数据，这项研究探讨了碳排放(CE)的现状，生态环境质量(RSEIC)，以及萨马林达都市区两个变量之间的动态关系，印度尼西亚。本研究使用时空方法来加深对2000-2021年CE-RSEIC的理解。方法包括CE分析和RSEIC的主成分分析。要了解CE-RSEIC的空间特征，采用方向分布椭圆法。此外，这项研究进行CE-RSEIC耦合分析，并确定其LULC型组成。研究结果表明，CE状况仍处于上升趋势，集中在东部地区，并在此期间不断扩大。低发射椭圆的位置在西南部,而高排放椭圆在东部，与核心城市相交。平均RSEIC值在0.2878和0.4223之间，这表明生态环境质量被归类为相当差到较差。绿色，湿度,和Csink对RSEIC有积极影响。极差类椭圆位于内陆地区,非常好的椭圆在沿海地区。CE-RSEIC耦合状态表明，大部分区域的耦合度较弱。然而,耦合度较高的集中在人口中心和建成区，这是定居区。在较高耦合度下，沉降区的优势组成表明，沉降区对CE-RSEIC耦合度的提高有影响。所以,沿海大都市地区的可持续低碳发展必须继续通过考虑CE-RSEIC及其空间方面来进行。
