Optimum retrieval techniques in remote sensing of atmospheric temperature, liquid water, and water vapor

Thesis. 1978. Ph.D.--Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.

Bibliographic Details
Main Author: Ledsham, William Henry
Other Authors: David H. Staelin.
Format: Thesis
Language:eng
Published: Massachusetts Institute of Technology 2005
Subjects:
Online Access:http://hdl.handle.net/1721.1/16183
_version_ 1826190122020765696
author Ledsham, William Henry
author2 David H. Staelin.
author_facet David H. Staelin.
Ledsham, William Henry
author_sort Ledsham, William Henry
collection MIT
description Thesis. 1978. Ph.D.--Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.
first_indexed 2024-09-23T08:35:22Z
format Thesis
id mit-1721.1/16183
institution Massachusetts Institute of Technology
language eng
last_indexed 2024-09-23T08:35:22Z
publishDate 2005
publisher Massachusetts Institute of Technology
record_format dspace
spelling mit-1721.1/161832019-04-09T18:37:36Z Optimum retrieval techniques in remote sensing of atmospheric temperature, liquid water, and water vapor Ledsham, William Henry David H. Staelin. Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science Electrical Engineering and Computer Science Atmosphere Remote sensing Estimation theory Kalman filtering Thesis. 1978. Ph.D.--Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. MICROFICHE COPY AVAILABLE IN ARCHIVES AND ENGINEERING. Vita. Bibliography: leaves 305-312. by William Henry Ledsham, Jr. Ph.D. 2005-08-03T21:58:33Z 2005-08-03T21:58:33Z 1978 1978 Thesis http://hdl.handle.net/1721.1/16183 06024261 eng M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582 314 [i.e. 328] leaves 14028075 bytes 14027836 bytes application/pdf application/pdf application/pdf Massachusetts Institute of Technology
spellingShingle Electrical Engineering and Computer Science
Atmosphere Remote sensing
Estimation theory
Kalman filtering
Ledsham, William Henry
Optimum retrieval techniques in remote sensing of atmospheric temperature, liquid water, and water vapor
title Optimum retrieval techniques in remote sensing of atmospheric temperature, liquid water, and water vapor
title_full Optimum retrieval techniques in remote sensing of atmospheric temperature, liquid water, and water vapor
title_fullStr Optimum retrieval techniques in remote sensing of atmospheric temperature, liquid water, and water vapor
title_full_unstemmed Optimum retrieval techniques in remote sensing of atmospheric temperature, liquid water, and water vapor
title_short Optimum retrieval techniques in remote sensing of atmospheric temperature, liquid water, and water vapor
title_sort optimum retrieval techniques in remote sensing of atmospheric temperature liquid water and water vapor
topic Electrical Engineering and Computer Science
Atmosphere Remote sensing
Estimation theory
Kalman filtering
url http://hdl.handle.net/1721.1/16183
work_keys_str_mv AT ledshamwilliamhenry optimumretrievaltechniquesinremotesensingofatmospherictemperatureliquidwaterandwatervapor