Mineralcomposition of beach sediments from the area "Fähre Großenbrode-Kliff Wulfen" on Fehmarn

Um die Insel Fehmarn und an der Nordküste Wagriens wurden rund 2500 Strand-, Flachwasser- und Seesandproben zum Erkennen der Materialtransportwege sedimentpetrographisch untersucht. Für die Schwermineralbestimmung wurde hauptsächlich die Fraktion 0,2-0,1 mm herangezogen, da diese für die vorliegenden Sedimente charakteristisch ist. Da die Mineralzusammensetzung der Sedimente im gesamten Untersuchungsgebiet gleich ist, also nirgends örtlich sog. Leitminerale zugeführt werden, wurden bei der Auswertung der Analysenergebnisse die hydrographischen Verhältnisse der westlichen Ostsee und die Abhängigkeit des Sedimentes von der Kraft des bewegten Meerwassers beachtet. Bezüglich der Abhängigkeit des transportierten Materials von der Wasserkraft werden drei voneinander abweichende Systeme, nämlich der Strand, die Brandungszone und das tiefere Wassergebiet, erkannt. Am Strand ist die angewandte Untersuchungsmethode sowohl an langgestreckten Küsten als auch in stark untergliederten Ufergebieten zum Erkennen der Sandwanderbahnen geeignet. Erosion und Neuzuführung von Material auf dem Transportwege zeigen das gleiche mineralische Bild, und eine Entscheidung, welcher dieser beiden Fälle tatsächlich vorliegt, kann nur im Gelände getroffen werden. Die Korngrößenanalyse allein ist zur Beantwortung vorliegender Fragestellungen nicht brauchbar, weil durch gegebene hydrographische Bedingungen die Korngröße in Transportrichtung sowohl abnehmen als auch zunehmen kann. In Strandgebieten mit veränderter natürlicher Beschaffenheit der Sedimente und an Küsten mit ausgedehnten vorgelagerten materialliefernden Abrasionsflächen ist die Grenze der Methode aufgezeigt. Höfte, Haken und Sandinseln zeigen jeweils typische mineralische Zusammensetzungen ihres Strandes, aus welchen die Entstehung der betreffenden Anlandungsformen abgeleitet werden kann. Quer über die Brandungszone weisen die Sedimente auf engem Raum wechselnde Mineralzusammensetzung auf, aus der auf die örtlichen hydrographischen Verhältnisse geschlossen werden kann. Zum Vergleich sedimentpetrographischer Ergebniswerte sind nur Sande, die unter gleichen Ablagerungsbedingungen entstanden sind, geeignet. Zum Erkennen der Materialwanderwege wurden entweder Sandproben von den Riffkämmen oder aus den Rinnen zwischen zwei Sandanhäufungszonen untersucht. In beiden Fällen wurden die Transportrichtungen erkannt. In Gebieten, in denen die Strandsanduntersuchungen negativ verliefen, ließen die Riffsandproben Schlüsse auf die Materialschüttungsrichtungen zu. An exponierten Küsten mit mehreren wirksamen Windrichtungen darf jedoch nicht von dem einen auf das andere Wandersystem geschlossen werden. Eine Umkehr der Materialvertriftung zwischen Flachwasser und Strand kann vorliegen. Im tieferen Wasser ist es möglich, mit gleicher Methode unter Berücksichtigung der Morphologie des Meeresgrundes die Materialschüttungsrichtung zu erkennen. Zur Sedimentuntersuchung auf Linienprofilen sind nur Proben gleicher Wassertiefe geeignet; die Sonderung des Materials nach der Tiefe muß beachtet werden. Aus den ermittelten sedimentpetrographischen Werten lassen sich eine Reihe von Beziehungen ablesen, die zur Deutung der Mineralgesellschaft und für die Auswertung der Untersuchungsergebnisse herangezogen werden können. Als regionales Ergebnis der vorstehenden Untersuchung kann eine Karte der Küsten Fehmarns und Nordoldenburgs vorgelegt werden, in der die Sandwanderungswege am Strand, in der Flachwasserzone und in den daran anschließenden tieferen Wassergebieten dargestellt sind.

Heat fluxes and surface radiation measurements from Samoylov Island, Lena Delta, Siberia, October 2007 to March 2008

In this study, we present the winter time surface energy balance at a polygonal tundra site in northern Siberia based on independent measurements of the net radiation, the sensible heat flux and the ground heat flux from two winter seasons. The latent heat flux is inferred from measurements of the atmospheric turbulence characteristics and a model approach. The long-wave radiation is found to be the dominant factor in the surface energy balance. The radiative losses are balanced to about 60 % by the ground heat flux and almost 40 % by the sensible heat fluxes, whereas the contribution of the latent heat flux is small. The main controlling factors of the surface energy budget are the snow cover, the cloudiness and the soil temperature gradient. Large spatial differences in the surface energy balance are observed between tundra soils and a small pond. The ground heat flux released at a freezing pond is by a factor of two higher compared to the freezing soil, whereas large differences in net radiation between the pond and soil are only observed at the end of the winter period. Differences in the surface energy balance between the two winter seasons are found to be related to differences in snow depth and cloud cover which strongly affect the temperature evolution and the freeze-up at the investigated pond.

Radiation flux from the upper and lower hemispheres in the visible spectral range

This paper describes measurements from shortwave radiation radiosonde ascents done at the Atlantische Expedition 1969. Using the results from a total of 67 ascents mean components of the shortwave radiation budget of the atmospheric layer between the ocean surface and the top of the ascent are discussed. The influence of clouds on the radiation balance is shown by dividing the ascents in classes of cloudiness and cloud altitude. Thereby the albedo of the ocean surface is increasing with increasing amount of cloudiness. Similar the albedo of the troposphere increases involving an increased heating rate of the atmospheric layer.

Implementation of an intelligent sensor for measurement and prediction of solar radiation and atmospheric temperature

Dissertação de mestrado, Engenharia Electrónica e Telecomunicações, Faculdade de Ciências e Tecnologia, Universidade do Algarve, 2011

Comparison of multitemporal MODIS-EVI smoothing algorithms and its contribution to crop monitoring.

Crop monitoring and more generally land use change detection are of primary importance in order to analyze spatio-temporal dynamics and its impacts on environment. This aspect is especially true in such a region as the State of Mato Grosso (south of the Brazilian Amazon Basin) which hosts an intensive pioneer front. Deforestation in this region as often been explained by soybean expansion in the last three decades. Remote sensing techniques may now represent an efficient and objective manner to quantify how crops expansion really represents a factor of deforestation through crop mapping studies. Due to the special characteristics of the soybean productions' farms in Mato Grosso (area varying between 1000 hectares and 40000 hectares and individual fields often bigger than 100 hectares), the Moderate Resolution Imaging Spectroradiometer (MODIS) data with a near daily temporal resolution and 250 m spatial resolution can be considered as adequate resources to crop mapping. Especially, multitemporal vegetation indices (VI) studies have been currently used to realize this task [1] [2]. In this study, 16-days compositions of EVI (MODQ13 product) data are used. However, although these data are already processed, multitemporal VI profiles still remain noisy due to cloudiness (which is extremely frequent in a tropical region such as south Amazon Basin), sensor problems, errors in atmospheric corrections or BRDF effect. Thus, many works tried to develop algorithms that could smooth the multitemporal VI profiles in order to improve further classification. The goal of this study is to compare and test different smoothing algorithms in order to select the one which satisfies better to the demand which is classifying crop classes. Those classes correspond to 6 different agricultural managements observed in Mato Grosso through an intensive field work which resulted in mapping more than 1000 individual fields. The agricultural managements above mentioned are based on combination of soy, cotton, corn, millet and sorghum crops sowed in single or double crop systems. Due to the difficulty in separating certain classes because of too similar agricultural calendars, the classification will be reduced to 3 classes : Cotton (single crop), Soy and cotton (double crop), soy (single or double crop with corn, millet or sorghum). The classification will use training data obtained in the 2005-2006 harvest and then be tested on the 2006-2007 harvest. In a first step, four smoothing techniques are presented and criticized. Those techniques are Best Index Slope Extraction (BISE) [3], Mean Value Iteration (MVI) [4], Weighted Least Squares (WLS) [5] and Savitzky-Golay Filter (SG) [6] [7]. These techniques are then implemented and visually compared on a few individual pixels so that it allows doing a first selection between the five studied techniques. The WLS and SG techniques are selected according to criteria proposed by [8]. Those criteria are: ability in eliminating frequent noises, conserving the upper values of the VI profiles and keeping the temporality of the profiles. Those selected algorithms are then programmed and applied to the MODIS/TERRA EVI data (16-days composition periods). Tests of separability are realized based on the Jeffries-Matusita distance in order to see if the algorithms managed in improving the potential of differentiation between the classes. Those tests are realized on the overall profile (comprising 23 MODIS images) as well as on each MODIS sub-period of the profile [1]. This last test is a double interest process because it allows comparing the smoothing techniques and also enables to select a set of images which carries more information on the separability between the classes. Those selected dates can then be used to realize a supervised classification. Here three different classifiers are tested to evaluate if the smoothing techniques as a particular effect on the classification depending on the classifiers used. Those classifiers are Maximum Likelihood classifier, Spectral Angle Mapper (SAM) classifier and CHAID Improved Decision tree. It appears through the separability tests on the overall process that the smoothed profiles don't improve efficiently the potential of discrimination between classes when compared with the original data. However, the same tests realized on the MODIS sub-periods show better results obtained with the smoothed algorithms. The results of the classification confirm this first analyze. The Kappa coefficients are always better with the smoothing techniques and the results obtained with the WLS and SG smoothed profiles are nearly equal. However, the results are different depending on the classifier used. The impact of the smoothing algorithms is much better while using the decision tree model. Indeed, it allows a gain of 0.1 in the Kappa coefficient. While using the Maximum Likelihood end SAM models, the gain remains positive but is much lower (Kappa improved of 0.02 only). Thus, this work's aim is to prove the utility in smoothing the VI profiles in order to improve the final results. However, the choice of the smoothing algorithm has to be made considering the original data used and the classifier models used. In that case the Savitzky-Golay filter gave the better results.