Earth Science Satellite Remote Sensing

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.

Remote Sensing Digital Image Analysis provides the non-specialist with a treatment of the quantitative analysis of satellite and aircraft derived remotely sensed data. Since the first edition of the book there have been significant developments in the algorithms used for the processing and analysis of remote sensing imagery; nevertheless many of the fundamentals have substantially remained the same.

Harness the Power of Google Earth Engine for GIS Spatial Data Analysis & Remote Sensing

Level up your traditional geospatial skills by harnessing the power of Google Earth Engine cloud computing and big data

Level up your traditional geospatial skills by harnessing the power of Google Earth Engine cloud computing and big data

Level up your traditional geospatial skills by harnessing the power of Google Earth Engine cloud computing and big 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.