Details zur Publikation

Kategorie Textpublikation
Referenztyp Buchkapitel
DOI 10.1007/978-3-030-53125-6_10
Titel (primär) Remote sensing
Titel (sekundär) Springer handbook of geographic information
Autor Borg, E.; Truckenbrodt, S.C.; Lausch, A.; Dietrich, P. ORCID logo ; Schmidt, K.
Herausgeber Kresse, W.; Danko, D.
Quelle Springer Handbooks (SHB)
Erscheinungsjahr 2022
Department CLE; MET
Seite von 231
Seite bis 280
Sprache englisch
Topic T5 Future Landscapes
Keywords remote sensing; physical basics; technical basics; sensors; data; data acquisition; data correction; data processing
Abstract Remote sensing is an essential method of collecting the geoinformation needed for investigations of the status or dynamics of environmental and social systems and processes. In this context, the multifunctional concept underlying remote sensing plays an important role. In particular, the removal of obstacles such as inadequate data availability or excessively long processing times when gathering information established remote sensing as a stable data source within the framework of environmental monitoring. The term remote sensing covers a multitude of different sensors, measuring principles, recording modes, and carrier platforms as well as combinations thereof. This makes it possible to generate data with various geometric, spectral, radiometric, and temporal resolutions to solve different problems. In the following, the physical basics of remote sensing (such as the theoretical basics and laws of electromagnetic radiation and the interaction of that radiation with natural materials), the technical basics of sensors, the properties of data (including aspects of data processing, processors, and processing chains as well as information extraction from remote sensing data), and selected areas of application of the results from remote sensing are explained.
dauerhafte UFZ-Verlinkung https://www.ufz.de/index.php?en=20939&ufzPublicationIdentifier=26524
Borg, E., Truckenbrodt, S.C., Lausch, A., Dietrich, P., Schmidt, K. (2022):
Remote sensing
In: Kresse, W., Danko, D. (eds.)
Springer handbook of geographic information
Springer Handbooks (SHB)
Springer Nature, Cham, p. 231 - 280 10.1007/978-3-030-53125-6_10