BIOMASS ALLOMETRIC FUNCTION WITH SATELLITE IMAGES OF HIGH SPATIAL RESOLUTION

被引：1
作者：
de Macedo, Fabricio Lopes [1 ]
de Oliveira Sousa, Adelia Maria [2 ]
Goncalves, Ana Cristina [3 ]
Silva, Helio Ricardo [4 ]
Ferreira Rodrigues, Ricardo Antonio [4 ]
机构：
[1] Univ Tras Os Montes & Alto Douro, Ctr Invest & Tecnol Agroambientais & Biol, P-5000801 Vila Real, Portugal
[2] Univ Evora, Dept Engn Rural, Escola Ciencias & Tecnol, Inst Ciencias Agr & Ambientais Mediterran, Apartado 94, P-7002554 Evora, Portugal
[3] Univ Evora, Dept Engn Rural, Inst Ciencias & Tecnol, Inst Ciencias Agr & Ambientais Mediterran, Apartado 94, P-7002554 Evora, Portugal
[4] Univ Estadual Paulista Julio de Mesquita Filho Un, Dept Fitossanidade Engn Rural & Solos, Av Brasil 56, BR-15385000 Ilha Solteira, SP, Brazil
来源：
CIENCIA FLORESTAL | 2018年 / 28卷 / 03期
关键词：
Eucalyptus; pleiades; vegetation indices; FOREST; CARBON;
D O I：
10.5902/1980509833368
中图分类号：
Q94 [植物学];
学科分类号：
071001 ;
摘要：
The aim of this study was to fit functions to estimate with data derived from high spatial resolution satellite images, the total biomass of Eucalyptus at local and regional scale. For this purpose, models were fit combining values of biomass estimated from forest inventory plots and vegetation indices based on Pleiades images. The function with which presented the best performance in the estimation of the total biomass, was the one that used as an independent variable the IV-SAVI, presenting a coefficient of determination (R-2) of 64.6%, however without great difference for the NDVI and SR. The fit functions can be used in other regions for the same species, and similar climate and local characteristics. This approach can be used as a low cost tool to produce estimations of biomass at local and regional level.
引用
收藏
页码：960 / 969
页数：10
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