Remote Sensing: Advanced Techniques

Nowadays it is hard to find areas of human activity and development that have not profited from or contributed to …

This reprint provides research on how technologies such as artificial intelligence-based machine learning and deep learning can be applied to remote sensing. Through this, we can see the process of solving the existing problems of image and image signal processing for remote sensing. These techniques are computationally intensive and require the help of high-performance computing devices. With the development of devices such as GPUs, remote sensing technology, and aerial sensing technology, it is possible to monitor the Earth with high-resolution images and to obtain vast amounts of Earth observation data. The papers published in this reprint describe recent advances in big data processing and artificial intelligence-based technologies for remote sensing technology.

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 book focuses solely on the issues of agricultural productivity analysis with advanced modeling approaches bringing solutions to food-insecure regions of the world, especially in south and southeast Asia and in Africa. Advanced modeling tools and their use in regional planning provide an outstanding opportunity to help face the challenges of climate change. The sudden effect of flash floods, drought, salinity, and sea water rises causing saltwater intrusions and its impact on agricultural production are some of the disastrous results of climate change.