New Titles have published in three CRC Press Geospatial series. Click on the subtitless below to find out more about the series, or scroll down to the bottom of this page to discover new and notable titles.
The remote sensing area has experienced rapid growth in recent years. One major factor that impacts the growth is the numerous signal and image processing techniques, as well as progress in pattern recognition, artificial intelligence, computer vision, etc. There has been much improvement in computer software and hardware making the use of signal and image processing with the earth observation data much more feasible. With major advances in the development of remote sensing sensors and devices in recent years, the need for advanced information extraction techniques is quite evident. This book series highlights various aspects of signal and image processing activities on earth observations. Mathematical techniques and system developments incorporating signal and image processing in remote sensing is the focus of the series.
Earth Observation of Global Changes is an indispensable tool to help understand the current problems and challenges related to climate alterations, natural hazards, biodiversity, water resources and other critical phenomena at different spatial scales, from local to global. Images acquired by EO satellites provide a synoptic and repetitive inspection on the state of natural resources. Sensor systems acquire images from different spectral bands (visible, near, medium and thermal infrared and microwave), with a wide range of spatial resolutions (from 1 m to 3 km pixel size), and at different temporal intervals (from 15 min to several weeks). This information can be integrated into geographical databases and provide an ideal scenario for spatial planning at different spatial scales.
Remote sensing refers to the technology of acquiring information about the earth's surface (land and ocean) and atmosphere using sensors onboard airborne (aircraft, balloons) or space borne (satellites, space shuttles) platforms. The technology of remote sensing has gradually evolved into a scientific subject. Its early development was mainly driven by military uses. Later, remotely sensed data became widely applied for civic usages. The range of remote sensing applications includes archaeology, agriculture, cartography, civil engineering, meteorology and climatology, coastal studies, emergency response, forestry, geology, geographic information systems, hazards, land use and land cover, natural disasters, oceanography, water resources, and so on. Most recently, with the advent of high spatial-resolution imagery and more capable techniques, the commercial applications of remote sensing are rapidly gaining interest in the remote sensing community and beyond. This book series will review theories and methods, analyze case studies, and examine methods for applying up-to-date remote sensing techniques to a specific area. It aims to serve all professionals, and researchers, scientists alike in academics, industries, government, and beyond.