Bültmann & Gerriets
Applications of Remote Sensing to Agrometeorology
Proceedings of a Course held at the Joint Research Centre of the Commission of the European Communities in the Framework of the Ispra-Courses, Ispra, Varese, Italy, 6-10 April 1987
von F. Toselli
Verlag: Springer Netherlands
Reihe: Ispra Courses
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ISBN: 9789400922358
Auflage: 1989
Erschienen am 11.11.2013
Sprache: Englisch
Umfang: 326 Seiten

Preis: 213,99 €

Inhaltsverzeichnis
Klappentext

Fundamentals of Remote Sensing.- Sensors.- Platforms.- The Luxuriant Image - An Introduction to Remote Sensing Data Processing.- Image Processing Techniques: Filtering, Exogenous Data, Geometrical Processing.- Imaging Radar Fundamentals.- Radar Post-Processing.- Extraction of Surface Temperature from Satellite Data.- Use of Surface Temperature in Agrometeorology.- Radiation Budget at the Ground from Satellite Data.- Microwave Remote Sensing of Soil Moisture.- The Vegetation Index and the Study of Vegetation Dynamics.- Satellite Remote Sensing of Rainfall.



Within the framework of Ispra Courses, a course on "Applications of Remote Sensing to Agrometeorology" was held from April 6th to 10th, 1987 at the Joint Research Centre of the European Communities, Ispra Italy. The purpose of the course was to familiarize scientists, active in Agrometeorology and related fields, with remote sensing techniques and their potential applications in their respective disciplines. Conventional ground investigations in various fields of natural sciences such as hydrology, pedology and agrometeorology can be supple­ mented by a range of instruments carried by airborne or earth orbiting platforms. The last few years, in particular, have seen many developments in this respect and a growing amount of information can now be derived not only from dedicated earth resources satellites such as the LANDSAT and SPOT, but also from other platforms such as METEOSAT and the series of NOAA-TIROS. Future platforms (ERS-l, Space Station, etc.) with their advanced sensors will further broaden the range of applications open to the investigators. The use of these data sources, together with field investigations, can lead, at a reduced cost, to a better characterization of the spatial and temporal properties of natural systems.


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