A modeling approach for estimating watershed impervious surface area from national land cover data 92
A modeling approach for estimating watershed impervious surface area from national land cover data 92
复制标题
DOI：
10.14358/pers.70.11.1295
复制
发表时间：
2004-11-01
影响因子：
1.3
通讯作者：
Ebert, DW
中科院分区：
文献类型：
--
作者：
Jennings, DB;Jarnagin, ST;Ebert, DW
我们使用国家土地覆盖数据92（NLCD 92），矢量不透水面数据，和名册GIS叠加方法，以获得不透水面系数每NLCD 92类中大西洋自然地理区域的一部分。该研究的样本区域为36个子流域，面积从2公里（2）到150公里（2）不等。由于发达/非发达地区内不透水表面区域的亚像素关系不断变化，因此采用了三类农村到城市梯度设计。一种基于NLCD 92%的梯度规则。将抽样地区定义为“农村”（
We used National Land Cover Data 92 (NLCD 92), vector impervious surface data, and roster GIS overlay methods to derive impervious surface coefficients per NLCD 92 class in portions of the Mid-Atlantic physiographic region. Sample areas for the study were thirty-six subwatersheds ranging in size from 2 km(2) to 150 km(2). A three-category rural-to-urban gradient design was utilized due to the changing sub-pixel relationship of impervious surface areas within developed/non-developed areas. A gradient rule based on the NLCD 92 DEVELOPED%. defined the sample areas as "rural" (