Two types of neural network were used to derive measures of biodiversity from Landsat TM data of a tropical rainforest. A feedforward neural network was used to estimate species richness while a Kohonen neural network was used to provide information on species composition. The results indicate the potential of remote sensing as a source of maps of biodiversity.
|Number of pages||3|
|Publication status||Published - 1 Jan 2002|
|Event||2002 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2002) - Toronto, Ont., Canada|
Duration: 24 Jun 2002 → 28 Jun 2002
|Conference||2002 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2002)|
|Period||24/06/02 → 28/06/02|