 This study examined the effects of land cover change on land surface temperature, LST, in the DACA metropolitan area, DMP. It found that if the current trends continue, 56 percent and 87 percent of the DMP area will be at risk of experiencing temperatures above 30 degrees Celsius by 2019 and 2029, respectively. To address these issues, the authors proposed a methodology using artificial neural networks to simulate future land cover changes and estimate their impacts on LST. This approach could provide valuable insights into how urban planning decisions can affect LST and ultimately public health. This article was authored by Bayes Ahmed, M.B. Kemruzaman, Xi'an Zhu, and others.