Remote Sensing: Applications Ed. By Boris Escalante Ramírez

This book focuses on new perspectives and advanced theoretical and application research in remote sensing. It is concerned with the study of scientific problems of remote sensing and geodesy and related interdisciplinary sciences. It discusses some contemporary issues related to geodesy in engineering projects, which are critical components in civil construction and often require detailed management techniques and unique solutions to address failures and remedial measures.

This publication aims at providing a thorough overview of the latest research efforts by international authors on this field of study, and open new possible research paths for further novel developments. The book comprises chapters authored by various researchers and edited by an expert active in this research area.

Remote sensing has been successfully applied in monitoring of protected areas around the world. With intensified impacts of climate and environmental change, protected areas become increasingly important to serve as indicators of and buffers against the impacts of the disturbances. Remote sensing plays an irreplaceable role in this frontline of challenges.

This book shows how remote sensing impacts other areas of science, technology, and …

This book provides a comprehensive overview of remote sensing and its various applications. This book includes chapters that examine remote sensing for detecting ice, tracking and monitoring deforestation, identifying crop regions infected with disease, mineral and geological mapping, and much more.

Recently, remote sensing and GIS techniques have gained increasing importance for rapid urbanization, the expansion of urban growth, and the enlargement of populations, due to the application of artificial intelligence, machine learning, and deep learning algorithms. This Special Issue aims to present the state-of-the-art research on optics, SAR, hyperspectral images, and GIS techniques for monitoring urban area environments corresponding to changes in times using publicly available and commercial datasets such as satellite and UAV data.

Recently, remote sensing and GIS techniques have gained increasing importance for rapid urbanization, the expansion of urban growth, and the enlargement of populations, due to the application of artificial intelligence, machine learning, and deep learning algorithms. This Special Issue aims to present the state-of-the-art research on optics, SAR, hyperspectral images, and GIS techniques for monitoring urban area environments corresponding to changes in times using publicly available and commercial datasets such as satellite and UAV data.