Deep learning-based modeling of land use/land cover changes impact on land surface temperature in Greater Amman Municipality, Jordan (1980–2030)
<p dir="ltr">Modeling the impacts of Land Use/Land Cover changes (LULCC) on Land Surface Temperature (LST) is crucial in understanding and managing urban heat islands, climate change, energy consumption, human health, and ecosystem dynamics. This study aimed to model past, present, a...
محفوظ في:
| المؤلف الرئيسي: | Khaled F. Alkaraki (22051967) (author) |
|---|---|
| مؤلفون آخرون: | Khaled Hazaymeh (5662192) (author), Osama M. Al-Tarawneh (22051970) (author), Rana N. Jawarneh (18180424) (author) |
| منشور في: |
2024
|
| الموضوعات: | |
| الوسوم: |
إضافة وسم
لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!
|
مواد مشابهة
-
Land surface temperature responses to land use dynamics in urban areas of Doha, Qatar
حسب: Shikha, Patel
منشور في: (2024) -
Land surface temperature responses to land use dynamics in urban areas of Doha, Qatar
حسب: Shikha Patel (14151027)
منشور في: (2024) -
Assessing and predicting land cover dynamics for environmental sustainability in Jordan's arid ecosystems using CA-Markov model
حسب: Rana N. Jawarneh (18180424)
منشور في: (2024) -
Land Use/Land Cover Changes Impact on Groundwater Level and Quality in the Northern Part of the United Arab Emirates
حسب: Elmahdy, Samy
منشور في: (2020) -
Limiting the Collection of Ground Truth Data for Land Use and Land Cover Maps with Machine Learning Algorithms
حسب: Usman Ali (6586886)
منشور في: (2022)