Estimation of crown biomass of Pinus pinaster stands and shrubland above-ground biomass using forest inventory data, remotely sensed imagery and spatial prediction models-Reference-Cited by-同舟云学术

Estimation of crown biomass of Pinus pinaster stands and shrubland above-ground biomass using forest inventory data, remotely sensed imagery and spatial prediction models

Published:2012-02 Issue: Volume:226 Page:22-35
ISSN:0304-3800
Container-title:Ecological Modelling
language:en
Short-container-title:Ecological Modelling

Author:

Viana H.,Aranha J.,Lopes D.,Cohen Warren B.

Publisher

Elsevier BV

Subject

Ecological Modelling

Reference94 articles.

1. Comparison of geostatistical methods for estimating transmissivity using data on transmissivity and specific capacity;Ahmed;Water Resources Research,1987

2. Spatial variability and estimation of tree attributes in a plantation forest in the Caspian region of Iran using geostatistical analysis Caspian;Akhavan;Journal of Environmental Sciences,2010

3. Assessing the ground data requirements for regional scale remote sensing of tropical forest biophysical properties;Atkinson;International Journal of Remote Sensing,2000

4. Introduction neural networks in remote sensing;Atkinson;International Journal of Remote Sensing,1997

5. Comparison of regression and geostatistical methods for mapping Leaf Area Index (LAI) with Landsat ETM+ data over a boreal forest;Berterretche;Remote Sensing of Environment,2005

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