Title: Land Surface Temperature Retrieval for Landsat 8
Revision of the Single-Channel Algorithm for Land Surface Temperature Retrieval From Landsat Thermal-Infrared Data. Jimenez-Munoz JC, Cristobal J, Sobrino JA, et al (2009). <doi: 10.1109/TGRS.2008.2007125>.
Surface temperature estimation in Singhbhum Shear Zone of India using Landsat-7 ETM+ thermal infrared data. Srivastava PK, Majumdar TJ, Bhattacharya AK (2009). <doi: 10.1016/j.asr.2009.01.023>.
Land Surface Temperature Retrieval from Landsat 8 TIRS—Comparison between Radiative Transfer Equation-Based Method, Split Window Algorithm and Single Channel Method. Yu X, Guo X, Wu Z (2014). <doi:10.3390/rs6109829>.
Calibration and Validation of land surface temperature for Landsat8-TIRS sensor. Land product validation and evolution. Skoković D, Sobrino JA, Jimenez-Munoz JC, Soria G, Julien Y, Mattar C, Cristóbal J. (2014).

Author: Ricardo Olea <raolea@uc.cl>,  Wilfredo Palma <wilfredo@mat.puc.cl>,  Pilar Rubio <parubio@uc.cl>
Description: Has a set of functions that allows stationary analysis and locally stationary time series analysis.

person(family = "National Oceanic and Atmospheric Administration (NOAA)",
Description: A set of functions that allow stationary analysis and locally
stationary time series analysis. The principal references are
Imports: stats, Rdpack, ggplot2, scales, patchwork
Mauricio Vargas [aut, cre] (<https://orcid.org/0000-0003-1017-7574>),
National Oceanic and Atmospheric Administration (NOAA) [dtc]

Description: A set of functions that allow stationary analysis and locally stationary time series analysis.
Mauricio Vargas [aut, cre] (<https://orcid.org/0000-0003-1017-7574>)

Title: Estimation of Low Rank Plus Sparse Structured Vector
Description: Implementations of estimation algorithm of low rank plus sparse structured VAR model by using Fast Iterative Shrinkage-Thresholding Algorithm (FISTA). It relates to the algorithm in Sumanta, Li, and Michailidis (2019) <doi:10.1109/TSP.2018.2887401>.

Title: Simulation and Spectral Estimation of Locally Stationary Wavelet
person("Alessandro","Cardinali",, "alessandro.cardinali@plymouth.ac.uk", role = c("aut", "cre")),
person("Guy","Nason",, "g.nason@imperial.ac.uk", role = "aut")
Description: Library of functions for the statistical analysis and simulation of Locally Stationary Wavelet Packet (LSWP) processes.  The methods implemented by this library are described in Cardinali and Nason (2017) <doi:10.1111/jtsa.12230>.
Imports: stats, graphics, waveslim, wavethresh
Packaged: 2022-03-06 20:13:49 UTC; rstudio-user
Author: Alessandro Cardinali [aut, cre],