lst

satejsoman/stata-lstlisting

Stata syntax highlighting for the listing LaTeX package

erfurtjohn/advanced-mobile-location

Webanwendung für die Abfrage von AML-Daten an einem Endpunkt und Visualisierung auf einer OpenStreetMap-Karte.

NethermindEth/restaking-dashboard

Restaking Dashboard

veroandreo/grass_opengeohub2021

This repo holds the slides, data and code for the presentation "Analyzing space-time satellite data for disease ecology applications with GRASS GIS and R" at the OpenGeoHub Summer School 2021

HannaMeyer/AntAir

Scripts and functions for a monitoring of air temperature in Antarctica using MODIS data and machine learning

oxwazz/Plugin-QGIS-SPT

Plugin QGIS SPT provides you for estimating land surface temperature (LST) using split-window algorithm (SWA) Qin for Landsat 8.

pansism/lsalst-to-netcdf4

Extracts data from one or more landSAF LST HDF5s, resamples them, stacks them, and adds them to a new netCDF4.

alelouis/lst

Minimalist LST (Local Sidereal Time) displayer for star gazers.

Veon2479/viirs-tools

Python library for processing VIIRS data

aurorafossorg/liblstparse

LST Parser for D Programming Language

hogyzen12/optimisoor

code to create LSTs on sanctum distribution on chain

ntaylor-86/Tusarc-Processor

Interrogates .LST files for Trumpf machines to make sure the TUSARC post processor has run it.

pavankz/Estimating-Albedo-effect-manipulation-by-the-implementation-of-IGC-irrigation-system

Associated work available in below link

pavankz/Land-use-dynamics-and-correlation-between-biophysical-indices-and-Land-Surface-Temperature

meaganng/microclimate

Climate change is a key factor in how extreme weather events affect how ecosystems and species react to these changes in temperatures. University of British Columbia's (UBC) Botanical Garden is interested in improving microclimate information within the garden to understand how areas with shade create respite zones for species. Due to the recent extreme weather temperatures in Vancouver, the garden is interested in how to continue to adapt and mitigate to these extremes. Microclimates are important as they are cooler temperatures beneath the canopy. Looking at how canopy cover influences land surface temperature can give insight on microclimates. Using LiDAR metrics to calculate canopy cover and Landsat to calculate land surface temperature, a model was built to understand the significance of canopy cover and land surface temperature, with the addition of other LiDAR metrics. The model could only determine a 34% variation between the variables tested. Canopy cover showed to have a p-value of 0.0993 and maximum height had a p-value of 0.0034. To investigate the results further, an unpaired t-test was run to determine the relationship between areas with canopy cover and areas without canopy cover. The t-test showed there are significant differences as the p-value was 0.0035. With the results, they provide observations of how canopy cover currently influences microclimate within the garden. Areas found to have a high percentage of canopy cover reflected lower land surface temperatures. Currently, the model has the structure to predict canopy cover with LiDAR metrics. However, finer data is needed to accurately predict microclimate. Recommendations are provided to enhance the study area with future directions for research within UBC Botanical Garden to conduct a more intricate analysis.

voidstar78/ANT

A Network Performance Tester

yellowcake-org/libycres

ANSI C library which implements reading resources used in Fallout™.

sagarlimbu0/Download_tiff_files_from_APPEEARS

Retrieve ECOSTRESS LST giff from AppEEARS