| Name : R-sits
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| Version : 1.4.1
| Vendor : obs://build_opensuse_org/devel:languages:R
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| Release : lp154.1.6
| Date : 2024-09-12 11:04:19
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| Group : Development/Libraries/Other
| Source RPM : R-sits-1.4.1-lp154.1.6.src.rpm
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| Size : 2.85 MB
| |
| Packager : https://www_suse_com/
| |
| Summary : Satellite Image Time Series Analysis for Earth Observation Data Cubes
|
Description :
An end-to-end toolkit for land use and land cover classification using
big Earth observation data, based on machine learning methods applied
to satellite image data cubes, as described in Simoes et al (2021)
< doi:10.3390/rs13132428>. Builds regular data cubes from collections in
AWS, Microsoft Planetary Computer, Brazil Data Cube, and Digital Earth
Africa using the Spatio-temporal Asset Catalog (STAC) protocol
(< https://stacspec.org/> and the \'gdalcubes\' R package developed by
Appel and Pebesma (2019) < doi:10.3390/data4030092>. Supports
visualization methods for images and time series and smoothing filters
for dealing with noisy time series. Includes functions for quality
assessment of training samples using self-organized maps as presented
by Santos et al (2021) < doi:10.1016/j.isprsjprs.2021.04.014>. Provides
machine learning methods including support vector machines, random
forests, extreme gradient boosting, multi-layer perceptrons, temporal
convolutional neural networks proposed by Pelletier et al (2019)
< doi:10.3390/rs11050523>, residual networks by Fawaz et al (2019)
< doi:10.1007/s10618-019-00619-1>, and temporal attention encoders by
Garnot and Landrieu (2020) < arXiv:2007.00586>. Performs efficient
classification of big Earth observation data cubes and includes
functions for post-classification smoothing based on Bayesian
inference, and methods for uncertainty assessment. Enables best
practices for estimating area and assessing accuracy of land change as
recommended by Olofsson et al (2014) < doi:10.1016/j.rse.2014.02.015>.
Minimum recommended requirements: 16 GB RAM and 4 CPU dual-core.
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RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/15.4/x86_64 |
