publication . Other literature type . Article . 2006

Mapping the species richness and composition of tropical forests from remotely sensed data with neural networks

Mark Cutler; Giles Foody;
Open Access
  • Published: 01 May 2006
  • Publisher: Elsevier BV
Abstract
The understanding and management of biodiversity is often limited by a lack of data. Remote sensing has considerable potential as a source of data on biodiversity at spatial and temporal scales appropriate for biodiversity management. To-date, most remote sensing studies have focused on only one aspect of biodiversity, species richness, and have generally used conventional image analysis techniques that may not fully exploit the data's information content. Here, we report on a study that aimed to estimate biodiversity more fully from remotely sensed data with the aid of neural networks. Two neural network models, feedforward networks to estimate basic indices of...
Subjects
free text keywords: Ecological Modelling
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