Predicting forest fire in the Brazilian Amazon using MODIS imagery and artificial neural networks
- 31 August 2009
- journal article
- Published by Elsevier BV in International Journal of Applied Earth Observation and Geoinformation
- Vol. 11 (4), 265-272
- https://doi.org/10.1016/j.jag.2009.03.003
Abstract
No abstract availableThis publication has 28 references indexed in Scilit:
- Artificial Neural Network estimation of soil erosion and nutrient concentrations in runoff from land application areasComputers and Electronics in Agriculture, 2008
- Interactions between rainfall, deforestation and fires during recent years in the Brazilian AmazoniaPhilosophical Transactions B, 2008
- Rapid Assessment of Annual Deforestation in the Brazilian Amazon Using MODIS DataEarth Interactions, 2005
- Agricultural land-use change in Brazilian Amazônia between 1980 and 1995: Evidence from integrated satellite and census dataRemote Sensing of Environment, 2003
- Image processing with neural networks—a reviewPattern Recognition, 2002
- Synergistic Interactions between Habitat Fragmentation and Fire in Evergreen Tropical ForestsConservation Biology, 2001
- Forest Fire Prediction and Prevention in the Brazilian AmazonConservation Biology, 1998
- Training feedforward networks with the Marquardt algorithmIEEE Transactions on Neural Networks, 1994
- Neural Networks and the Bias/Variance DilemmaNeural Computation, 1992
- Selecting the spatial resolution of satellite sensors required for global monitoring of land transformationsInternational Journal of Remote Sensing, 1988