A new approach for estimating mangrove canopy cover using Landsat 8 imagery

被引：26

作者：

Abd-El Monsef, Hesham ^{[1
]}

Smith, Scot E. ^{[2
]}

机构：

[1] Suez Canal Univ, Dept Geol, Fac Sci, Ismailia, Egypt

[2] Univ Florida, Geomat Program, Gainesville, FL USA

来源：

COMPUTERS AND ELECTRONICS IN AGRICULTURE | 2017年 / 135卷

关键词：

Landsat; 8; Mangrove; Normalized Difference Vegetation Index; Infrared Index; Leaf Area Index; Green Atmospherically Resistant Index; Optimized Soil Adjusted Vegetation Index; Normalized Difference Built-up Index; Normalized Difference Water Index; VEGETATION; INDEX; SOIL;

D O I：

10.1016/j.compag.2017.02.007

中图分类号：

S [农业科学];

学科分类号：

09 ;

摘要：

Due to background reflectance, it is difficult to accurately map sparse canopy vegetation using moderate resolution satellite imagery. Information contained in virtually all the pixels is a mix of leaf vegetation, soil, branches and shadow. Presented in this paper is a novel approach to improving the accuracy of mapping mangrove canopy using Landsat 8 imagery by incorporating seven indices: Normalized Difference Vegetation Index, Infrared Index, Leaf Area Index, Green Atmospherically Resistant Index, Optimized Soil Adjusted Vegetation Index, Normalized Difference Built-up Index and Normalized Difference Water Index. Results demonstrated that the accuracy of mapping mangrove can be significantly improved using this approach. (C) 2017 Elsevier B.V. All rights reserved.

引用

页码：183 / 194

页数：12

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