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.

Google Earth Pro软件助力收集达卡，孟加拉国的卫星影像，以监控森林砍伐情况。系统性地从特定位置捕获了多年的影像，从而实现了对树木覆盖率减少的全面分析。这些影像根据卫星视角展现出不同的宽高比，并具有高分辨率，适用于遥感分析。每个站点每年提供5至35张影像，累积数据跨越了十年。该数据集将影像分为三大主要类别：树木覆盖率、砍伐区域和掩蔽影像。按年份组织，它包含了原始影像和标注影像，每张影像都配有一份包含标注和分割掩膜的JSON文件。这种组织方式提高了数据的可访问性和时间序列分析。此外，该数据集有利于机器学习项目，尤其是在训练用于评估环境变化的物体检测和分割模型方面。