Using VIIRS-DNB and landsat data for impervious surface area mapping in an arid/semiarid region
Using VIIRS-DNB and landsat data for impervious surface area mapping in an arid/semiarid region
复制标题
使用 VIIRS-DNB 和陆地卫星数据绘制干旱/半干旱地区的不透水表面积图
DOI：
10.1080/2150704x.2018.1455234
复制
发表时间：
2018-01-01
影响因子：
2.3
通讯作者：
Gao, Le
中科院分区：
文献类型：
--
作者：
Guo, Wei;Zhang, Yuhuan;Gao, Le
干旱/半干旱地区生态环境脆弱，不透水表面积（伊萨）制图具有重要意义。然而，利用遥感数据伊萨映射在干旱/半干旱景观仍然是非常困难的，因为伊萨的复杂性，如裸露的土壤，不透水的表面区域，和稀疏的植被覆盖。Suomi国家极轨合作伙伴组织携带的带日夜波段的可见红外成像辐射计套件（VIRS-DNB）专注于地球夜间光线，提供了绘制城市信息的新方法，但在伊萨制图中仍然很少使用。在本文中，我们探讨了一个新的指数VIIRS-DNB数据的基础上，称为改进的不透水面指数（IISI）。我们使用一个线性回归模型的分数伊萨估计在干旱/半干旱的城市地区，和IISI被用作一个独立的变量。选定地点的参考国际审计准则是根据陆地卫星图像绘制的，并在该模型中用作因变量。结果表明，基于IISI的模型提供了良好的估计与决定系数（R2）为0.70，更高的精度比使用归一化VIRS-DNB数据。该方法对干旱半干旱地区的伊萨分次制图具有重要的参考价值。
ABSTRACT Mapping impervious surface area (ISA) in arid/semiarid regions is of great importance because of the vulnerable ecological situation there. However, using remote sensing data for ISA mapping in arid/semiarid landscapes is still very difficult because of the complexities of ISA, such as bare soils, impervious surface areas, and sparse vegetation cover. The Visible Infrared Imaging Radiometer Suite with Day/Night Band (VIIRS-DNB) carried by the Suomi National Polar-orbiting Partnership, focusing on earth nighttime light, provides novel ways to map urban information, but is still little used in ISA mapping. In this paper, we explore a new index based on VIIRS-DNB data called the improved impervious surface index (IISI). We use a linear regression model for fractional ISA estimation in an arid/semiarid urban region, and the IISI was used as an independent variable. Reference ISAs from selected sites were mapped from Landsat images and were used as a dependent variable in this model. The results indicate that the IISI-based model provides good estimation with coefficient of determination (R2)of 0.70, much greater accuracy than that using normalized VIIRS-DNB data. This method is very valuable for fractional ISA mapping in an arid/semiarid region.