Estimation and dynamics of above ground biomass with very high resolution satellite images in Pinus pinaster stands

被引:9
作者
Goncalves, Ana Cristina [1 ]
Sousa, Adelia M. O. [2 ]
Mesquita, Paulo G. [3 ]
机构
[1] Univ Evora, Inst Invest & Formacao Avancada, Inst Ciencias Agr & Ambientais Mediterran, Escola Ciencias & Tecnol,Dept Engn Rural, Apartado 94, P-7002554 Evora, Portugal
[2] Univ Evora, Inst Invest & Formacao Avancada, Inst Ciencias Agr & Ambientais Mediterran, Escola Ciencias & Tecnol,Dept Engn Rural,CITI, Apartado 94, P-7002554 Evora, Portugal
[3] Univ Evora, Escola Ciencias & Tecnol, Dept Engn Rural, Apartado 94, P-7002554 Evora, Portugal
基金
欧盟地平线“2020”;
关键词
Segmentation; Crown horizontal projection; Allometric functions; Forest inventory; Multitemporal dynamics; FOREST INVENTORY DATA; ABOVEGROUND BIOMASS; TREE BIOMASS; AREA; PREDICTION; EQUATIONS; CROWN; AIT;
D O I
10.1016/j.biombioe.2017.08.026
中图分类号
S2 [农业工程];
学科分类号
0828 ;
摘要
Biomass estimation is a tool for evaluating stands and forest dynamics. Traditional indirect methods use forest inventories and allometric functions at tree level to evaluate biomass at plot level, and an extrapolation method to assess an area. The goal of this study was the development of allometric functions for Pinus pinaster with crown horizontal projection derived from very high spatial resolution satellite images as an independent variable, as well as their application to the analysis of above ground biomass dynamics. The fitted functions show a good performance. The function used to estimate the above ground biomass per grid in 2004, 2007 and 2011 for the study area enable the evaluation of their temporal dynamics. From 2004 to 2007 it decreased in 90.5% of the study area, due to forest fires and cuts to control the pinewood nematode; from 2007 to 2011 increased in 45.6% and decreased in 51.6%, the latter corresponding to cuts to control the aforementioned disease. In 76.4% of the burnt areas, natural regeneration resulted in an increase of above ground biomass. The method's main advantages are the simultaneous evaluation of small or large areas and, when implemented in a GIS, it allows straightforward monitoring over a short period of time. (C) 2017 Elsevier Ltd. All rights reserved.
引用
收藏
页码:146 / 154
页数:9
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