As the global population continues to expand, the demand for natural
resources increases. Unfortunately, human activities account for 23% of
greenhouse gas emissions. On a positive note, remote sensing technologies have
emerged as a valuable tool in managing our environment. These technologies
allow us to monitor land use, plan urban areas, and drive advancements in areas
such as agriculture, climate change mitigation, disaster recovery, and
environmental monitoring. Recent advances in AI, computer vision, and earth
observation data have enabled unprecedented accuracy in land use mapping. By
using transfer learning and fine-tuning with RGB bands, we achieved an
impressive 99.19% accuracy in land use analysis. Such findings can be used to
inform conservation and urban planning policies.

全球人口不断增长，对自然资源的需求也在增加。遗憾的是，人类活动占到了 23% 的温室气体排放。幸运的是，遥感技术已经成为管理我们的环境的有价值的工具。这些技术使我们能够监测土地利用，规划城市区域，并推动农业、气候变化缓解、灾难恢复和环境监测等领域的进展。通过利用迁移学习和细调 RGB 波段，我们在土地利用分析方面取得了令人印象深刻的 99.19% 准确度。这样的研究结果可以用来制定保护和城市规划政策。