| Land cover patterns and their impact on land surface temperature using remote sensing techniques: A case study of EL-Beheira, governorate, Egypt. |
| Paper ID : 1148-ICRSSSA |
| Authors |
|
Mahmoud Afify Nagwan *1, Abdelsalam Ramdan Nabil Mohsen1, madany arafat sayed1, farag eslam2, amien aboelghar mohmed1, abbas afify afify3 1Division of Agriculture Applications, Soils, and Marine, National Authority for Remote Sensing and Space Sciences (NARSS), Egypt 2agricultural applications department , Agricultural applications, Soils and marine sciences, National Authority for Remote Sensing and Space sciences NARSS, Cairo, Egypt 3Soil, Water and Environment Research Institute; Agriculture Research Center; Giza; Egypt. |
| Abstract |
| Using remote sensing data from Landsat 8 during the winter and summer seasons of 2022, the Normalized Difference Vegetation Index (NDVI) and The Normalized Difference Built-up Index (NDBI) have both been derived as one of the land cover elements, and their associations with the Land Surface Temperature (LST) have been examined for EL-Beheira, governorate, Egypt. Thermal data analysis was used to obtain LST, which indicates the surface temperature's regional, the highest LST ever measured was 40 °C and 65 °C throughout the winter and summer seasons, respectively. NDBI, which evaluated the spacecraft data's Bands 6 and Band 5, explains the urban accumulated index. The highest NDBI was 0.56 in the winter and 0.61 in the summer, respectively. The maximum NDVI in winter and summer, respectively, showed 0.84 and 0.58 percent of vegetation. LST analyses showed that the surface temperatures of the constructed and bare lands were higher than those of the cultivated lands. Significant positive connections between LST and NDBI were discovered, with R2 values of 0.79 in February 2022 and 0.88 in July 2022. However, there were significant negative associations between LST and NDVI, with R2 values of 0.85 and 0.854 in each season. It was also shown that there is a strong negative association between NDVI and NDBI with R2 values of 0.95 and 0.90. |
| Keywords |
| Land Surface Temperature (LST); NDBI; NDVI; Land cover; Remote sensing data and GIS |
| Status: Accepted (Oral Presentation) |
