Mapping the World Population One Building at a Time

• Tác giả: Tobias G Tiecke
• Ngôn ngữ: eng
• Ký hiệu phân loại: 720.48 Buildings by shape, buildings with atriums
• Thông tin xuất bản: World Bank, Washington, DC, 2020
• Bộ sưu tập: Tài liệu truy cập mở
• ID: 325035
• Chủ đề: 1. POPULATION DENSITY; 2. POPULATION DISTRIBUTION; 3. POPULATION ESTIMATE; 4. SATELLITE IMAGERY

Tóm tắt

High resolution datasets of population density which accurately map sparsely distributed human populations do not exist at a global scale. Typically, population data is obtained using censuses and statistical modeling. More recently, methods using remotely-sensed data have emerged, capable of effectively identifying urbanized areas. Obtaining high accuracy in estimation of population distribution in rural areas remains a very challenging task due to the simultaneous requirements of sufficient sensitivity and resolution to detect very sparse populations through remote sensing as well as reliable performance at a global scale. Here, the authors present a computer vision method based on machine learning to create population maps from satellite imagery at a global scale, with a spatial sensitivity corresponding to individual buildings and suitable for global deployment.