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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

Objectivity in stratification, sampling and classification of vegetation

Westfall, R. H. January 2009 (has links)
Thesis (PhD)(Botany))-Universiteit van Pretoria, 1992. / Summary in English and Afrikaans. Includes bibliographical references.
2

Vegetation characteristics expressed through transformed MODIS data : a MODIS tasseled cap /

Lobser, Sarah E. January 2004 (has links)
Thesis (M.S.)--Oregon State University, 2005. / Printout. Includes bibliographical references (leaves 77-82). Also available on the World Wide Web.
3

Simulation of bidirectional reflectance, modulation transfer, and spatial interaction for the probabilistic classification of Northwest forest structures using Landsat data /

Moffett, Jeffrey Lee. January 1998 (has links)
Thesis (Ph. D.)--University of Washington, 1998. / Vita. Includes bibliographical references (p. [248]-277).
4

Relationships between landscape factors and vegetation site types : case study from Saare County, Estonia /

Palo, Anneli, January 2005 (has links) (PDF)
Thesis (doctoral)--University of Tartu, 2005. / Vita. Includes bibliographical references.
5

Vegetation changes in the Willamette River Greenway, Benton and Linn Counties, Oregon, 1972-1981 /

Wickramaratne, Siri Nimal. January 1983 (has links)
Thesis (M.S.)--Oregon State University, 1983. / Typescript (photocopy). Includes bibliographical references (leaves 76-80). Also available via the World Wide Web.
6

Assessment of the accuracy of forested classifications within two broad-scale remotely-sensed vegetation databases in eastern Oregon /

Langhoff, Cory A. January 1900 (has links)
Thesis (M.S.)--Oregon State University, 2003. / Typescript (photocopy). Includes bibliographical references (leaves 100-103). Also available on the World Wide Web.
7

Factors that Influence Plant Species Richness on Habitat Islands of Sand Pine Scrub

Connery, Cindy B. 01 January 1984 (has links) (PDF)
No description available.
8

Testing the use of the new generation multispectral data in mapping vegetation communities of Ezemvelo Game Reserve

Madela, Sibongile Rose January 2017 (has links)
A research report submitted to the Faculty of Science, University of the Witwatersrand, Johannesburg, in partial fulfilment of the requirements for the degree of Master of Science (Geographical Information Systems and Remote Sensing) at the School of Geography, Archaeology & Environmental Studies) Johannesburg. 2017 / Vegetation mapping using remote sensing is a key concern in environmental application using remote sensing. The new high resolution generation has made possible, the mapping of spatial distribution of vegetation communities. The aim of this research is to test the use of new generation multispectral data for vegetation classification in Ezemvelo Game Reserve, Bronkhorspruit. Sentinel-2 and RapidEye images were used covering the study area with nine vegetation classes: eight from grassland (Mixed grassland, Wetland grass, Aristida congesta, Cynadon dactylon, Eragrostis gummiflua, Eragrostis Chloromelas, Hyparrhenia hirta, Serephium plumosum) and one from woodland (Woody vegetation). The images were pre-processed, geo-referenced and classified in order to map detailed vegetation classes of the study area. Random Forest and Support Vector Machines supervised classification methods were applied to both images to identify nine vegetation classes. The softwares used for this study were ENVI, EnMAP, ArcGIS and R statistical packages (R Development Core, 2012) .These were used for Support Vector Machines and Random Forest parameters optimization. Error matrix was created using the same reference points for Sentinel-2 and RapidEye classification. After classification, results were compared to find the best approach to create a current map for vegetation communities. Sentinel-2 achieved higher accuracies using RF with overall accuracy of 86% and Kappa value of 0.84. Sentinel-2 also achieved overall accuracy of 85% with a Kappa value of 0.83 using SVM. RapidEye achieved lower accuracies using RF with an overall accuracy of 82% and Kappa value of 0.79. RapidEye using SVM produced overall accuracy of 81% and a Kappa value of 0.79. The study concludes that Sentinel-2 multispectral data and RF have the potential to map vegetation communities. The higher accuracies achieved in the study can assist management and decision makers on assessing the current vegetation status and for future references on Ezemvelo Game Reserve. Keywords Random forest, Support Vector Machines, Sentinel-2, RapidEye, remote sensing, multispectral, hyperspectral and vegetation communities / LG2018
9

The floodplain meadows of Soomaa National Park, Estonia vegetation, dispersal, regeneration /

Palisaar, Jaan. January 2006 (has links)
Thesis (Dr. rer. nat.)--Universität Regensburg, 2006. / Title from PDF title page (viewed on Apr. 25, 2007). Includes bibliographical references (p. 169-185).
10

Vegetation ecology of the seasonal floodplains in the Okavango Delta, Botswana

Bonyongo, Mpaphi Casper. January 1999 (has links)
Thesis (M.S.)--University of Pretoria, 1999. / Includes bibliographical references (leaves 122-135).

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