Topic: "land-surface-temperature"
sofiaermida/Landsat_SMW_LST
Land Surface Temperature from Landsat on Google Earth Engine
Language: JavaScript - Size: 26.4 KB - Last synced at: over 1 year ago - Pushed at: almost 2 years ago - Stars: 80 - Forks: 54
pinkychow1010/EO-Climate-Hazard-Analysis-App
A Google Earth Engine API (interactive dashboard) for satellite-based global climate hazard analysis (urban heat, landcover changes, etc). Project under World Bank Group. ⬇️ ⬇️
Size: 1.14 MB - Last synced at: over 1 year ago - Pushed at: almost 2 years ago - Stars: 26 - Forks: 2
NikosAlexandris/i.landsat8.swlst
Practical split-window algorithm estimating Land Surface Temperature from Landsat 8 OLI/TIRS imagery
Language: Python - Size: 1.28 MB - Last synced at: about 2 months ago - Pushed at: almost 5 years ago - Stars: 25 - Forks: 13
IMT-Project-LTS-SR/MRUNet-for-MODIS-super-resolution
This is the github repository for the article: Convolutional Neural Network Modelling for MODIS Land Surface Temperature Super-Resolution
Language: Python - Size: 107 MB - Last synced at: over 1 year ago - Pushed at: about 3 years ago - Stars: 19 - Forks: 12
shijithpk/hottest-panchayats-kerala
Figuring out what the hottest villages in Kerala are with the help of Microsoft's Planetary Computer
Language: Jupyter Notebook - Size: 19.4 MB - Last synced at: 11 months ago - Pushed at: over 2 years ago - Stars: 10 - Forks: 0
oxwazz/plugin_qgis_spt 📦
⚠️ [ARCHIVED] Plugin QGIS SPT provides you for estimating land surface temperature (LST) using split-window algorithm (SWA) Qin for Landsat 8.
Language: Python - Size: 1.84 MB - Last synced at: 2 months ago - Pushed at: 6 months ago - Stars: 4 - Forks: 0
pansism/lsalst-to-netcdf4 📦
Extracts data from one or more landSAF LST HDF5s, resamples them, stacks them, and adds them to a new netCDF4.
Language: Python - Size: 45.9 KB - Last synced at: about 1 year ago - Pushed at: over 5 years ago - Stars: 4 - Forks: 3
lunasilvestre/ee_lst
Python package to estimate Land Surface Temperatures from Google Earth Engine's Landsat imagery
Language: Python - Size: 8.59 MB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 3 - Forks: 0
Aaditatgithub/Multi-Stream-Convolution-and-Attention-U-Net-Fusion-for-UHII
Predicting urban heat island for the city of Pune using MODIS LST, PM2.5 and GLC_FCS30D Landcover dataset. The neural network consists of three covolution streams and attention unet for feature fusion and UHI map creation.
Language: Jupyter Notebook - Size: 50.6 MB - Last synced at: 16 days ago - Pushed at: 16 days ago - Stars: 2 - Forks: 1
hgarbeil/PyMODISView
Global MODIS NDVI and LST python image display and 20+ year time-series analysis program
Language: Python - Size: 287 KB - Last synced at: 25 days ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 0
cvvsu/LSTa
Image-to-Image Training for Spatially Seamless Air Temperature Estimation with Satellite Images and Station Data
Language: Python - Size: 3.17 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 0
thedmv/goes16lst_matlabtraining
Online version of a training manual for reading netcdf GOES-16 LST data in MATLAB.
Language: HTML - Size: 23.8 MB - Last synced at: almost 2 years ago - Pushed at: over 5 years ago - Stars: 1 - Forks: 0
orestispanago/Hobo-LST
Ground stations - satelite data comparison using low-cost temperature sensors and MODIS Land Surface Temperature data
Language: Python - Size: 4.3 MB - Last synced at: 2 months ago - Pushed at: over 5 years ago - Stars: 1 - Forks: 0
ashleysally00/Uttarakhand-Land-Surface-Temperature-LST-Analysis-Using-GEE
A current project contributing to Omdena's initiative to develop an AI-based system for wildfire spread prediction and early warning in Uttarakhand. This contribution focuses on using Land Surface Temperature (LST) data, geospatial analysis with Google Earth Engine, and Python to predict wildfire behaviors and identify potential hotspots.
Language: Jupyter Notebook - Size: 18.1 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0
b-rech/geoinfo-lst
This repository contains the Python codes used in the short paper "Sensitivity of Land Surface Temperature to Emissivity Retrieved from Landsat 8 Data", submitted to the XXIV Brazilian Symposium on GeoInformatics.
Language: Python - Size: 9.77 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
kavin160100/Correlation-Study-LST_CO
Contains python notebooks used for clipping of satellite data using Geojson AOI, calculating LST from Landsat 8 Images and Correlation analysis between CO and LST
Language: Jupyter Notebook - Size: 430 KB - Last synced at: over 1 year ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0
