Improving forest detection with machine learning in remote sensing data

Author:

Caffaratti Gabriel D.ORCID,Marchetta Martín G.,Euillades Leonardo D.,Euillades Pablo A.,Forradellas Raymundo Q.

Funder

Nvidia

Publisher

Elsevier BV

Subject

Computers in Earth Sciences,Geography, Planning and Development

Reference34 articles.

1. Landsat-8 and Sentinel-2 based Forest fire burn area mapping using machine learning algorithms on GEE cloud platform over Uttarakhand, Western Himalaya;Bar;Remote Sensing Applications: Soc. Environ.,2020

2. Change detection of deforestation in the brazilian amazon using landsat data and convolutional neural networks;de Bem;Rem. Sens.,2020

3. Practical recommendations for gradient-based training of deep architectures;Bengio,2012

4. Large-scale machine learning with stochastic gradient descent;Bottou,2010

5. Stochastic Gradient Descent Tricks. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 7700 LECTURE NO;Bottou,2012

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