Package: LSRS 0.2.0
LSRS: Land Surface Remote Sensing
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>.
Authors:
LSRS_0.2.0.tar.gz
LSRS_0.2.0.zip(r-4.5)LSRS_0.2.0.zip(r-4.4)LSRS_0.2.0.zip(r-4.3)
LSRS_0.2.0.tgz(r-4.4-any)LSRS_0.2.0.tgz(r-4.3-any)
LSRS_0.2.0.tar.gz(r-4.5-noble)LSRS_0.2.0.tar.gz(r-4.4-noble)
LSRS_0.2.0.tgz(r-4.4-emscripten)LSRS_0.2.0.tgz(r-4.3-emscripten)
LSRS.pdf |LSRS.html✨
LSRS/json (API)
| # Install 'LSRS' in R: |
| install.packages('LSRS', repos = c('https://mehdisarparast.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 7 years agofrom:26a6261016. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 01 2024 |
| R-4.5-win | OK | Nov 01 2024 |
| R-4.5-linux | OK | Nov 01 2024 |
| R-4.4-win | OK | Nov 01 2024 |
| R-4.4-mac | OK | Nov 01 2024 |
| R-4.3-win | OK | Nov 01 2024 |
| R-4.3-mac | OK | Nov 01 2024 |
Exports:C.factorEBBIEVIMSAVINBRNBR2NDMINDVISAVITGSI
Dependencies:
