Geospatial Dataset on Deforestation and Urban Sprawl in Dhaka, Bangladesh: A Resource for Environmental Analysis

Google Earth Pro facilitated the acquisition of satellite imagery to monitor deforestation in Dhaka, Bangladesh. Multiple years of images were systematically captured from specific locations, allowing comprehensive analysis of tree cover reduction. The imagery displays diverse aspect ratios based on satellite perspectives and possesses high resolution, suitable for remote sensing. Each site provided 5 to 35 images annually, accumulating data over a ten-year period. The dataset classifies images into three primary categories: tree cover, deforested regions, and masked images. Organized by year, it comprises both raw and annotated images, each paired with a JSON file containing annotations and segmentation masks. This organization enhances accessibility and temporal analysis. Furthermore, the dataset is conducive to machine learning initiatives, particularly in training models for object detection and segmentation to evaluate environmental alterations.

谷歌地球专业版（Google Earth Pro）可辅助获取卫星影像，用于监测孟加拉国达卡市的森林砍伐状况。研究人员对特定区域系统性采集了多年份影像，可全面分析林木覆盖面积的缩减情况。该类影像根据卫星观测视角呈现多种宽高比，且具备高分辨率特性，适用于遥感应用。每个监测站点年均采集5至35幅影像，十年间累计形成完整数据集。本数据集将影像划分为三大核心类别：林木覆盖区、已砍伐区域及掩膜影像（masked images）。数据集按年份组织，包含原始影像与标注影像两类数据，每类影像均配套包含标注信息与分割掩膜的JSON文件。这种数据组织方式既提升了数据集的易用性，也便于开展时序分析。此外，本数据集可支撑机器学习相关研究，尤其适用于训练目标检测与分割模型，以评估环境变化情况。