Treffer: ARC-UHI TOOLBOX: A PYTHON-BASED TOOL FOR AUTOMATED MAPPING OF LAND SURFACE TEMPERATURE AND URBAN HEAT ISLAND FROM LANDSAT 9.

Title:
ARC-UHI TOOLBOX: A PYTHON-BASED TOOL FOR AUTOMATED MAPPING OF LAND SURFACE TEMPERATURE AND URBAN HEAT ISLAND FROM LANDSAT 9.
Alternate Title:
ARC-UHI NÁSTROJOVÁ NABÍDKA: LANDSAT 9 NÁSTROJ V PYTHONU PRO AUTOMATICKÉ MAPOVÁNÍ POVRCHOVÉ TEPLOTY PŮDY A MĚSTSKÉHO TEPELNÉHO OSTROVA. (Czech)
Source:
EGRSE - Exploration Geophysics, Remote Sensing & Environment; 2024, Issue 2, p17-39, 23p
Database:
Complementary Index

Weitere Informationen

ArcGIS is a widely used geospatial data analysis and raster processing software. However, it is not equipped to handle complex data sets and analysis capabilities for certain sensors and camera types compared to other digital image processing programs like ENVI and ERDAS IMAGINE. To overcome this limitation, ArcGIS offers a free framework for programmers to contribute their techniques for enhanced data analysis through modules, tools, or plug-ins. In this regard, researchers developed the Arc-UHI add-in tool using Python programming language for auto-mapping Land Surface Temperature (LST) and Urban Heat Island (UHI) maps from Landsat 9 Collection2 products. Calculating LST requires time as it involves several computations. The tool simplifies the process and provides all necessary steps and equations for determining LST and UHI using the thermal bands of Landsat 9 images. Cairo city of Egypt was used as a case study to demonstrate the tool's effectiveness. The Arc-UHI tool provides full access to geoprocessing in ArcGIS, a simple graphical user interface, and data processing. The tool's results show that LST and UHI are easily computed for any location using the ArcGIS Add-in Toolbox. The tool's programming code is accessible to the public and can be expanded upon to meet future requirements. The tool will assist users and researchers in focusing more on the study and analysis of data and less on calculations. The LST and UHI tools can also be expanded to provide LST calculations for other Landsat series. [ABSTRACT FROM AUTHOR]

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