Скачать с ютуб Calculating Land Surface Temperature (LST) of Landsat 8 in Arcgis в хорошем качестве

Calculating Land Surface Temperature (LST) of Landsat 8 in Arcgis

This tutorial will teach you how to use ArcGIS to calculate the Land Surface Temperature (LST) of Landsat 8. Land surface temperature (LST) is a critical input for climate models and a significant influence in many fields, including heat balance research, urban land use and cover, and climate change. Many opportunities to use remote sensing to research land processes have been made possible by LANDSAT data. The earth's surface temperature that is in direct contact with the measuring device is known as LST (Land Surface Temperature) and is often expressed in Kelvin. LST is the temperature at which heat and radiation from the sun are absorbed, reflected, and refracted on the surface of the earth's crust. LST fluctuates in response to changes in the weather and other human activity where the precise Prediction gets difficult. Global urbanization has resulted in a notable rise in greenhouse gas emissions and landscape modification, with substantial implications for climate at all scales. This is because urban materials, or anthropogenic surfaces, have been introduced at the same time as natural land cover has changed. Ground surveys are time-consuming, labor-intensive, and costly, which makes remote sensing an obvious choice for highly accurate Land Use Land Cover (LULC) classification. Process i. Top of Atmosphere (TOA) Radiance: Using the radiance rescaling factor, Thermal Infra-Red Digital Numbers can be converted to TOA spectral radiance. Lλ = ML * Qcal + AL Where: Lλ = TOA spectral radiance (Watts/ (m2 * sr * μm)) ML = Radiance multiplicative Band (No.) AL = Radiance Add Band (No.) Qcal = Quantized and calibrated standard product pixel values (DN) ii. Top of Atmosphere (TOA) Brightness Temperature: Spectral radiance data can be converted to top of atmosphere brightness temperature using the thermal constant Values in Meta data file. BT = K2 / ln (k1 / Lλ + 1) - 272.15 Where: BT = Top of atmosphere brightness temperature (°C) Lλ = TOA spectral radiance (Watts/( m2 * sr * μm)) K1 = K1 Constant Band (No.) K2 = K2 Constant Band (No.) iii. Normalized Differential Vegetation Index (NDVI): The Normalized Differential Vegetation Index (NDVI) is a standardized vegetation index which Calculated using Near Infra-red (Bnad 5) and Red (Band 4) bands. NDVI = (NIR – RED) / (NIR + RED) Where: RED= DN values from the RED band NIR= DN values from Near-Infrared band iv: Land Surface Emissivity (LSE): Land surface emissivity (LSE) is the average emissivity of an element of the surface of the Earth calculated from NDVI values. PV = [(NDVI – NDVI min) / (NDVI max - NDVI min)]^2 Where: PV = Proportion of Vegitation NDVI = DN values from NDVI Image NDVI min = Minimum DN values from NDVI Image NDVI max = Maximum DN values from NDVI Image E = 0.004 * PV + 0.986 Where: E = Land Surface Emissivity PV = Proportion of Vegitation v: Land Surface Temperature (LST): The Land Surface Temperature (LST) is the radiative temperature Which calculated using Top of atmosphere brightness temperature, Wavelength of emitted radiance, Land Surface Emissivity. LST = (BT / 1) + W * (BT / 14380) * ln(E) Where: BT = Top of atmosphere brightness temperature (°C) W = Wavelength of emitted radiance E = Land Surface Emissivity