Modified Version of the Improved TIROS Operational Satellite (ITOS D-G)
Author : Arthur Schwalb
Publisher :
Page : 56 pages
File Size : 32,82 MB
Release : 1972
Category : Radiometers
ISBN :
Author : Arthur Schwalb
Publisher :
Page : 56 pages
File Size : 32,82 MB
Release : 1972
Category : Radiometers
ISBN :
Author : Arthur Schwalb
Publisher :
Page : 56 pages
File Size : 48,57 MB
Release : 1972
Category : ITOS (Meteorological satellite)
ISBN :
Author : Stanley R. Schneider
Publisher :
Page : 28 pages
File Size : 32,46 MB
Release : 1976
Category : Photographic interpretation
ISBN :
Author : United States. National Oceanic and Atmospheric Administration
Publisher :
Page : 358 pages
File Size : 44,77 MB
Release : 1976
Category : Meteorological satellites
ISBN :
Author : International Union of Forestry Research Organizations
Publisher :
Page : 594 pages
File Size : 41,93 MB
Release : 1974
Category : Aerial photography in forestry
ISBN :
Author :
Publisher :
Page : pages
File Size : 15,77 MB
Release : 1973
Category : Meteorology
ISBN :
Author :
Publisher :
Page : 1008 pages
File Size : 29,57 MB
Release : 1975
Category : Aeronautics
ISBN :
Lists citations with abstracts for aerospace related reports obtained from world wide sources and announces documents that have recently been entered into the NASA Scientific and Technical Information Database.
Author : P. Krishna Rao
Publisher :
Page : 528 pages
File Size : 19,58 MB
Release : 1990
Category : Nature
ISBN :
Comprehensive review of NOAA, GMS, INSAT, USSR Meteor and other meteorological satellites; covers data archiving and processing, applications including agriculture, climate, land and ocean science; and general principles of remote sensing.
Author : NASA Scientific and Technical Information Facility
Publisher :
Page : 622 pages
File Size : 22,49 MB
Release : 1970
Category : Earth sciences
ISBN :
Author : Shunlin Liang
Publisher : Academic Press
Page : 821 pages
File Size : 20,5 MB
Release : 2012-12-06
Category : Science
ISBN : 0123859557
Advanced Remote Sensing is an application-based reference that provides a single source of mathematical concepts necessary for remote sensing data gathering and assimilation. It presents state-of-the-art techniques for estimating land surface variables from a variety of data types, including optical sensors such as RADAR and LIDAR. Scientists in a number of different fields including geography, geology, atmospheric science, environmental science, planetary science and ecology will have access to critically-important data extraction techniques and their virtually unlimited applications. While rigorous enough for the most experienced of scientists, the techniques are well designed and integrated, making the book's content intuitive, clearly presented, and practical in its implementation. - Comprehensive overview of various practical methods and algorithms - Detailed description of the principles and procedures of the state-of-the-art algorithms - Real-world case studies open several chapters - More than 500 full-color figures and tables - Edited by top remote sensing experts with contributions from authors across the geosciences