کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
10252144 | 160244 | 2015 | 9 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Spatial estimation of urban forest structures with Landsat TM data and field measurements
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موضوعات مرتبط
علوم زیستی و بیوفناوری
علوم کشاورزی و بیولوژیک
جنگلداری
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: Spatial estimation of urban forest structures with Landsat TM data and field measurements Spatial estimation of urban forest structures with Landsat TM data and field measurements](/preview/png/10252144.png)
چکیده انگلیسی
Urban forest structure is an important variable that influences urban forest ecosystem function across the landscape. However, it is generally labor-intensive and time-consuming to obtain urban forest structural attributes with the traditional field sampling methods. This study explores the potential of using Landsat-5 Thematic Mapper (TM) imagery in estimating urban forest structural attributes including stem density, diameter at breast height, tree height, leaf area index, canopy density and basal area. In our study, three vegetation indices including normalized difference vegetation index (NDVI), simple ratio (SR), and green normalized difference vegetation (GNDVI), obtained from Landsat-5 Thematic Mapper (TM) data and urban forest structure data derived from the field-based survey were used to develop a regression model to predict the selected urban forest structures in Changchun, China. Finally, an urban forest structure map was produced from the vegetation indices map by using the regression models based on measured urban forest structural attributes and vegetation indices. The results show that NDVI is better than SR and GNDVI for predicting the selected urban forest structural attributes. But some forest structure metrics that can be predicted well in natural forests by NDVI cannot be predicted for urban forests. Canopy density, basal area and leaf area index were strongly related to NDVI. Stem density, diameter at breast height and tree height were not related to NDVI. In Changchun city, leaf area index, canopy density and basal area of the urban forest all show a definite gradient decreasing from suburban areas to urban center areas. The canopy density, basal area and leaf area index class distribution were all skewed toward low values. The results demonstrate Landsat TM has a relatively rapid and efficient capability for quantitative estimation of some urban forest structural attributes including leaf area index, canopy density and basal area over urban areas.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Urban Forestry & Urban Greening - Volume 14, Issue 2, 2015, Pages 336-344
Journal: Urban Forestry & Urban Greening - Volume 14, Issue 2, 2015, Pages 336-344
نویسندگان
Zhibin Ren, Haifeng Zheng, Xingyuan He, Dan Zhang, Xingyang Yu, Guoqiang Shen,