Calculating Land Surface Temperature using Landsat 8 images by ArcGIS || NDVI ||@GeoTech_Studio

Download the toolbox: https://drive.google.com/file/d/1jyuYmmmuOcnKhJdP-SowWOplOx5kmtJI/view?usp=sharing
Download the documents: https://drive.google.com/file/d/1GPtbIQGJwzaPt45P_Qg2aOPrDrWDvsGt/view?usp=sharing
LST (Land Surface Temperature) is the earth surface temperature which is directly in contact with the measuring instrument
(usually measured in Kelvin). LST is the surface temperature of the earth’s crust where the heat and radiation from the sun are
absorbed, reflected and refracted. LST changes with a change in climatic condition and other human activities where the exact
prediction becomes challenging. Worldwide urbanization has significantly increased in greenhouse gases and reshaped the
landscape, which has important climatic implications across all scales due to the simultaneous transformation of natural land cover
and introduction of urban materials i.e. anthropogenic surfaces. Ground surveys would permit a highly accurate Land Use Land
Cover (LULC) classification, but they are time-consuming, burdensome and expensive, which highlights remote sensing an
evident and preferred alternative. Identification and characterization of Urban Heat Island (UHI) is typically based on LST that
varies spatially, due to the non-homogeneity of land surface cover and other atmospheric factors. LST is the key factor for
calculating highest and lowest temperature of a particular location. Medium spatial resolution data, such as that from the
LANDSAT and SPOT are suitable for land cover or vegetation mapping at regional local scale. LANDSAT 8 carries two sensors,
i.e., the Operational Land Imager (OLI) and the Thermal Infrared Sensor (TIRS). OLI collects data at a 30m spatial resolution
with eight bands located in the visible and near-infrared and the shortwave infrared regions of the electromagnetic spectrum, and
an additional panchromatic band of 15m spatial resolution. TIRS senses the TIR radiance at a spatial resolution of 100m using two
bands located in the atmospheric window between 10 and 12 μm.
Link to other videos:
Calculating the Criteria Weight by Multiple Criteria Decision Making :
https://youtu.be/2X9ZNOex1IQ
Interpolation:
https://youtu.be/0Rn-ojbu9uM
Thematic Mapping of COVID-19:
https://youtu.be/PgogWgiTkg0
Study Area Mapping:
https://youtu.be/wXcocGiwobE
Landuse Land Cover link:
https://youtu.be/Ci5FlJihbxs
Landslide Assessment video link:
https://youtu.be/PbqQE0DEknc
USGS data downloading tutorial video link:
https://youtu.be/9ojhH-WxFzs
Fire Risk Assessment video link:
https://youtu.be/wwccFbNFyLU
Water Delineation Tutorial link:
https://youtu.be/3wBVxfM4wmo
Georeferencing On ArcMap:
https://youtu.be/bErGQNnEi7U

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