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Rapid satellite data streams in operational applications have clear benefits for monitoring land cover, especially when information can be delivered as fast as changing surface conditions. Over the past decade, remote sensing has become a key tool for monitoring and predicting environmental variables by using satellite data. This package presents the main applications in remote sensing for land surface monitoring and land cover mapping (soil, vegetation, water...). Tomlinson, C.J., Chapman, L., Thornes, E., Baker, C (2011) <doi:10.1002/met.287>.
| Version: | 0.2.0 |
| Suggests: | raster, sp, rasterVis, lattice, latticeExtra, RColorBrewer |
| Published: | 2018-03-07 |
| DOI: | 10.32614/CRAN.package.LSRS |
| Author: | Mehdi Sarparast |
| Maintainer: | Mehdi Sarparast <mehdisarparast at gmail.com> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| CRAN checks: | LSRS results |
| Reference manual: | LSRS.pdf |
| Package source: | LSRS_0.2.0.tar.gz |
| Windows binaries: | r-devel: LSRS_0.2.0.zip, r-release: LSRS_0.2.0.zip, r-oldrel: LSRS_0.2.0.zip |
| macOS binaries: | r-release (arm64): LSRS_0.2.0.tgz, r-oldrel (arm64): LSRS_0.2.0.tgz, r-release (x86_64): LSRS_0.2.0.tgz, r-oldrel (x86_64): LSRS_0.2.0.tgz |
| Old sources: | LSRS archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.