کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4458823 1621232 2015 15 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Characterization of shrubland ecosystem components as continuous fields in the northwest United States
ترجمه فارسی عنوان
مشخص کردن اجزای اکوسیستم درختچه به عنوان زمینه های مداوم در شمال غربی ایالات متحده
کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه علوم زمین و سیارات کامپیوتر در علوم زمین
چکیده انگلیسی


• Both high resolution remote sensing data and Landsat 8 images are used.
• A new method is used to produce seamless phenological mosaics for Landsat 8 images.
• Three climate zones are characterized for the study area.
• The modeling is conducted in climate zones to characterize shrubland components.

Accurate and consistent estimates of shrubland ecosystem components are crucial to a better understanding of ecosystem conditions in arid and semiarid lands. An innovative approach was developed by integrating multiple sources of information to quantify shrubland components as continuous field products within the National Land Cover Database (NLCD). The approach consists of several procedures including field sample collections, high-resolution mapping of shrubland components using WorldView-2 imagery and regression tree models, Landsat 8 radiometric balancing and phenological mosaicking, medium resolution estimates of shrubland components following different climate zones using Landsat 8 phenological mosaics and regression tree models, and product validation. Fractional covers of nine shrubland components were estimated: annual herbaceous, bare ground, big sagebrush, herbaceous, litter, sagebrush, shrub, sagebrush height, and shrub height. Our study area included the footprint of six Landsat 8 scenes in the northwestern United States. Results show that most components have relatively significant correlations with validation data, have small normalized root mean square errors, and correspond well with expected ecological gradients. While some uncertainties remain with height estimates, the model formulated in this study provides a cross-validated, unbiased, and cost effective approach to quantify shrubland components at a regional scale and advances knowledge of horizontal and vertical variability of these components.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Remote Sensing of Environment - Volume 168, October 2015, Pages 286–300
نویسندگان
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