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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
1

Automated segmentation of urban features from Landsat-Thematic Mapper imagery for use in pseudovariant feature temporal image normalization /

Salvaggio, Carl. January 1987 (has links)
Thesis (M.S.)--Rochester Institute of Technology, 1987. / Typescript. Includes bibliographical references (leaves 129-134).
2

Hyperspectral image visualization using double and multiple layers

Cai, Shangshu, January 2009 (has links)
Thesis (Ph.D.)--Mississippi State University. Department of Electrical and Computer Engineering. / Title from title screen. Includes bibliographical references.
3

Insights from the use of a standard taxonomy for remote sensing analysis

Kari, Swapna. January 2004 (has links)
Thesis (M. S.) -- Mississippi State University. Department of Electrical and Computer Engineering. / Title from title screen. Includes bibliographical references.
4

Remote sensing of colored dissolved organic matter using unmanned aerial systems and assessment of the influence of dissolved organic matter on the oyster reefs in the western Mississippi sound

Galapita Pallayapelage, Sudeera Wickramarathna 09 August 2019 (has links)
Oyster reefs in the western Mississippi Sound (WMS) are dependent on the salinity moderation by freshwater input. However, freshwater brings in high amount of pollutants, which affect the oysters negatively. Oyster diebacks happened as a result of hypoxia caused by excessive organic matter input to WMS in summer 2017. Colored dissolved organic matter (CDOM) is widely used as a proxy for determining organic matter distribution. In this study, hyperspectral and multispectral remote sensing data collected using unmanned aerial systems and in situ CDOM data were used to develop algorithms in order to retrieve CDOM remotely. Collected physical and biogeochemical parameters were used to understand the carbon fluxes regulating the quality and quantity of CDOM. Developed algorithms showed high accuracy after accounting for seasonal variations of CDOM. Further, seasonal induced photodegradation, photosynthesis, calcification, and exchange of CO2 were identified as possible factors that affect the carbon dynamics in the study area.

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