Thesis (M.S.)--Montana State University--Bozeman, 2006. / Typescript. Chairperson, Graduate Committee: Joseph A. Shaw. Includes bibliographical references (leaves 42-43).

Thesis (Ph.D.)--University of Missouri-Columbia, 2005. / The entire dissertation/thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file (which also appears in the research.pdf); a non-technical general description, or public abstract, appears in the public.pdf file. Title from title screen of research.pdf file viewed on (November 15, 2006) Vita. Includes bibliographical references.

Thesis (M.S.)--Indiana University, 2007. / Title from screen (viewed on Apr. 30, 2007) Department of Geography, Indiana University-Purdue University Indianapolis (IUPUI) Includes vita. Includes bibliographical references (leaves 122-125)

Thesis (Ph. D.)--Ohio State University, 2007. / Title from first page of PDF file. Includes bibliographical references (p. 199-205).

No description available.

No description available.

<p> Remotely sensed data has been discussed as a possible alternative to the standard precision agriculture systems of combine-mounted yield monitors because of the burden, cost, end of season use, and inherent errors that are associated with these systems. Due to the potential quantitative use of remote sensing in precision agriculture, the primary focus of this study was to test the relationship between multitemporal/multispectral digital aerial imagery with corn (<i>Zea mays</i> L.) and soybean (<i>Glycine max </i> L.) yield. Digital aerial imagery was gathered on nine different dates throughout the 2015 growing season from two fields (one corn and one soybean) located on a farm in Story County, Iowa. To begin assessing this relationship, the digital aerial imagery was radiometrically calibrated. The radiometric calibration process used calibration tarps with known reflectance values (3, 6, 12, 22, 44, and 56 percent). The calibrated imagery was then used to calculate and output 12 different vegetation indices (VIs) and three calibrated wavebands (red, green, and near-infrared). </p><p> Next, the calibrated VIs and wavebands from the 2015 growing season were used to examine their relationship with the corn and soybean yield data collected from a combine yield monitor system. This relationship between multitemporal/multispectral digital aerial imagery with corn and soybean yield was investigated with principal component analysis and spatial modeling techniques. The results from spatial modeling of corn revealed that VIs utilizing the green waveband performed strongly. VIs such as, chlorophyll index-green, chlorophyll vegetation index, and green normalized difference vegetation index accounted for 81.6, 83.0, and 82.4 percent of the yield variability, respectively. Strong modeling relationships were also found in soybean using just the near-infrared waveband or VIs that utilized the near-infrared waveband. The near-infrared waveband captured 89.1 percent of the yield variation, while VIs such as, difference vegetation index, triangular vegetation index, soil adjusted vegetation index, and optimized soil adjusted vegetation index accounted for 87.3, 87.3, 83.9, and 83.8 percent of soybean yield variability, respectively. The temporal assessment of the remotely sensed data also identified certain VIs and wavebands that captured pivotal growth stages for detecting potential yield limiting factors. These specific growth stages varied for different VIs and wavebands for both corn and soybean. Overall, the results from this study identified that mid-to-late vegetative growth stages (prior to tasseling) and late-season reproductive stages were important parameters that provided unique information in the modeling of corn yield variability, while the later reproductive stages (just prior to senescence) were essential to capturing soybean yield variability. </p><p> Lastly, this research produced corn and soybean yield maps from the digital aerial imagery. The digital aerial imagery yield maps were then compared with maps that used kriging interpolation of the combine yield monitor data gathered from the same corn and soybean fields. The results indicated that both corn and soybean yield maps produced with multitemporal/multispectral digital aerial imagery were comparable with a standard method of kriging interpolation from yield monitor data.</p><p>

Earth’s hydrology is made up of complex systems which are spatially varied and influence a number of ecosystem processes. Complex ecosystems, in this case, are defined as those involving multiple bodies of water and land masses which are seasonally connected to one another through various processes, resulting in an intricate aquatic and terrestrial relationship in a single area. There have been advances in how we study these environments, yet it remains important to determine the most efficient tools in order to accurately monitor ecosystem health in these regions. Monitoring water quality in freshwater-dominated, wetland systems is costly and often impractical due to the remote locations of areas of interest. By exploring the methods of analysis in which remotely sensed data can be used to monitor changes in the spatial patterns of water quality, it is possible to study these complex ecosystems in a more frequent and effective manner.

Submitted by Gustavo Gomes (gustavolascasas@gmail.com) on 2013-09-10T12:47:49Z No. of bitstreams: 2 An??lise multitemporal do comportamento estrutural e espectral.pdf: 5588827 bytes, checksum: 87e23a99e66df453056ebb387f9ea8f7 (MD5) license_rdf: 23599 bytes, checksum: 9e2b7f6edbd693264102b96ece20428a (MD5) / Approved for entry into archive by Roger Guedes (roger.guedes@fjp.mg.gov.br) on 2013-09-10T14:28:33Z (GMT) No. of bitstreams: 2 An??lise multitemporal do comportamento estrutural e espectral.pdf: 5588827 bytes, checksum: 87e23a99e66df453056ebb387f9ea8f7 (MD5) license_rdf: 23599 bytes, checksum: 9e2b7f6edbd693264102b96ece20428a (MD5) / Made available in DSpace on 2013-09-10T14:28:33Z (GMT). No. of bitstreams: 2 An??lise multitemporal do comportamento estrutural e espectral.pdf: 5588827 bytes, checksum: 87e23a99e66df453056ebb387f9ea8f7 (MD5) license_rdf: 23599 bytes, checksum: 9e2b7f6edbd693264102b96ece20428a (MD5) Previous issue date: 2009 / Funda????o Jo??o Pinheiro / O Cerrado ?? um complexo vegetacional rico em biodiversidade, com alto grau de endemismo. Contudo, est?? seriamente amea??ado pela expans??o do agroneg??cio e crescentes monoculturas de eucalipto. Pesquisas sobre a regenera????o do Cerrado s??o fundamentais no entendimento da din??mica da vegeta????o e nos estudos de conserva????o. O objetivo desta pesquisa ?? caracterizar a idade da vegeta????o do cerrado sensu-stricto atrav??s da an??lise de uma longa sequ??ncia de imagens TM/Landsat-5 (I984 a 2007), identificando rela????es entre a estrutura da vegeta????o e o comportamento espectral. O Parque Estadual Veredas do Perua??u (PEVP), escolhido como ??rea de estudo, foi ocupado por planta????es de eucalipto at?? 1994 e hoje cont??m extensas ??reas de cerrado sensu-str:icto em processo de regenera????o. O hist??rico de degrada????o do PEVP foi obtido atrav??s da subtra????o de imagens NDVI em pares entre 1984 e 2007. O m??todo de "parcelas" foi adotado para medir as vari??veis estruturais da vegeta????o. Em toda a ??rea amostrada (9.400 m2) foram mensurados e identificados 2.030 indiv??duos lenhosos com CAP maior ou igual a 10 cm, agrupados em 22 fam??lias bot??nicas contendo 45 g??neros e 53 esp??cies. Pol??gonos de 2x2 pixels, representando as 47 parcelas mensuradas no campo foram utilizados para extrair o valor de reflect??ncia das imagens e, assim, caracterizar a resposta espectral da regenera????o da vegeta????o em cada data estudada e analisar as rela????es estat??sticas entre as vari??veis estruturais e espectrais. Apesar dos baixos coeficientes de correla????o observados entre as vari??veis espectrais.e estruturais, um modelo matem??tico multivariado de estimativa da idade da vegeta????o foi gerado a partir de regress??o m??ltipla explicando 61 % da varia????o da idade. A sequ??ncia de 18 imagens Landsat serviu para caracterizar a din??mica do comportamento espectral da regenera????o de cerrado e permitiu estimar o tempo aproximado que a vegeta????o de cerrado dessa regi??o necessita para alcan??ar um aspecto semelhante ao cerrado sem degrada????o recente. Al??m desses resultados, um levantamento fitossociol??gico das parcelas permitiu uma caracteriza????o flor??stica lenhosa dessa regi??o de cerrado comparando os valores obtidos com outras ??reas de condi????o ed??ficas semelhantes. / Cerrado is a biologically rich vegetation complex, with a high degree of endemism. It is, however, seriously threatened by expansion of agribusiness and growing monocultures of eucalyptus. Research on Cerrado regrowth is crucial for understanding the dynamics of vegetation and for studies of conservation. The purpose of this study is to characterize the age of cerrado sensu-stricto vegetation through the analysis of a long sequence of TM/Landsat-5 images (1984 to 2007), identifying relationships between the structure of vegetation and its spectral behavior. The Veredas do Peruac??u State Park (VPSP), chosen as the study area, was occupied by eucalyptus plantations until 1994 and now contains large areas of savanna in the process of regeneration. The history of degradation of the VPSP was obtained by subtracting NDVI images in pairs between 1984 and 2007. The ???plot??? methods was adopted to measure the structure of the vegetation. Throughout the area sampled (9.400m2) 2.030 woody individuals were identified and measured with CAP greater or equal to 10cm grouped in 22 botanical families containing 45 genus and 53 species. Polygons of 2??2 pixels, representing all 47 plots measured in the field, were used to extract reflectance values from the images and thus characterize the spectral behavior of the regeneration of vegetation over time and analyze the statistical relationship between the spectral and structural variables. Although generally low correlation coefficients were observed between the spectral and structural variables, a valid multivariate mathematical model to estimate the age of cerrado vegetation was generated through multiple regression explaining 61% of the age variation. The sequence of 18 Landsat images was used to characterize the dinamics of the spectral behavior of regenerating cerrado and estimate the time necessary for cerrado vegetation of that region to regain a spectral aspect similar to non-degraded cerrado. Additionally, a phytosociological survey made it possible to characterize the floristic composition of woody plants and compare these values with other areas having the same edaphic conditions. / Meio ambiente

<p> Airborne hydrographic surveys are routinely used to create and update nautical charts around the world. This research is intended to assist in maximizing the utility of the data products made available from those surveys in accordance with the current survey&mdash;once, use&ndash;many&mdash;times initiatives. Specifically, this project evaluates the feasibility of using the data available airborne hydrographic systems that utilize bathymetric lasers and hyperspectral sensors to estimate the concentration of suspended particulate matter (SPM). SPM is sometimes also called suspended sediment. The ability to chart spatial distributions of SPM utilizing hydrographic survey systems already in operation will assist researchers, managers, and stakeholders of the areas thus surveyed. </p><p> Ship-based <i>in situ</i> measurements of multiple IOPs at up to twelve wavelengths were gathered in the northern Gulf of Mexico during five cruises between 2009 and 2010. One hundred sixty-nine IOP based SPM models using all available quality-checked data were developed and evaluated for performance. This large number of algorithms allowed for a comparison of the effectiveness of the IOPs that may be derived from airborne hydrographic surveys with other IOPs that may or may not be so readily available. The results were varied. </p><p> The apparent optical property remote sensing reflectance (R_rs) is a data product of hyperspectral sensors that are often part of airborne survey systems. A method to predict suspended particulate matter concentration using the wavelength of maximum intensity for R_rs is presented. This represents a new way to estimate suspended particulate matter concentration from an airborne platform. </p><p> Due to the methods used for gathering the in-situ data, it was necessary to consider the validity of the assumption that consecutive water column profiling events from a ship represent the same sampling environment. Though this research demonstrates that this assumption is false, it does indicate that consecutive profiling events do sample the same water properties in many instances and that with a little care, datasets gathered this way may be used in research efforts similar to this one. Finally, the distribution and selected properties of SPM concentrations in the northern Gulf of Mexico were examined.</p><p>