Software Open Access
JRSRP Fractional cover v3
Scarth, Peter;
Denham, Robert;
Watson, Fiona
The fractional cover v3.0 model is a Multi Layer Perceptron (neural network) model architecture that uses surface reflectance to estimate the three cover fractions of bare ground, photosynthetic vegetation (PV) and non-photosynthetic vegetation (NPV). The MLP model was trained with Tensorflow using Landsat TM, ETM+ and OLI surface reflectance and a collection of 4000 field observations of overstorey and ground cover. The field observations covered a wide variety of vegetation, soil and climate types across Australia, collected between 1997 and 2018.
Files
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fractionalcover3-master.zip
md5:83b9f99630581aac7acea4088b92fac9 |
865.1 kB | Download |
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Indexed in
- Publication date:
- August 19, 2022
- DOI:
-
- Keyword(s):
- remote sensing
- Communities:
- License (for files):
- MIT License