171 resultados para Sumatra


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This layer is a georeferenced raster image of the historic paper map entitled: Royaume de Siam, avec les royaumes qui luy sont tributaires, et les isles de Sumatra, Andemaon, etc., corrigés selon les observations des six Peres Jesuites ... ; dressé et dedie à Mr. l'abbé de Dangeau par ... le Pere Coronelli, Cosmographe de la Republique de Venisse. It was published by chez Jean Baptiste Nolin in 1742. Scale [ca. 1:4,400,000]. Covers a portion of Southeast Asia including: Indonesia, Malaysia, Thailand, India, Burma, Laos, Cambodia, and Vietnam. Map in French. The image inside the map neatline is georeferenced to the surface of the earth and fit to the Universal Transverse Mercator (UTM Zone 48N, meters, WGS 1984) projected coordinate system. All map collar and inset information is also available as part of the raster image, including any inset maps, profiles, statistical tables, directories, text, illustrations, index maps, legends, or other information associated with the principal map. This map shows features such as drainage, cities and other human settlements, territorial and administrative boundaries, shoreline features, and more. Relief shown pictorially. Depth shown by sounding. Includes notes.This layer is part of a selection of digitally scanned and georeferenced historic maps from the Harvard Map Collection. These maps typically portray both natural and manmade features. The selection represents a range of originators, ground condition dates, scales, and map purposes.

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by John Cary.

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Ioannis Ianssonius.

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A multiproxy record has been acquired from a piston core (SO139-74KL) taken offshore southern Sumatra, an area which is situated in the southwestern sector of the tropical Indo-Pacific Warm Pool. The high-resolution data sets (X-ray fluorescence, total organic carbon, and C37 alkenones) were used to track changes in paleoproductivity, freshwater budget, and sea surface temperature (SST) of the tropical climate system at orbital time scales over the past 300 ka. Our paleoclimatic data show that enhanced marine paleoproductivity was directly related to strengthening of coastal upwelling during periods of increased boreal summer insolation and associated SE monsoon strength with a precessional cyclicity. Changes in freshwater supply were primarily forced by precession-controlled changes in boreal NW winter monsoon rainfall enclosing an additional sea level component. SST variations of 2°-5°C occurred at eccentricity and precessional cyclicity. We suggest that the sea surface temperature variability off southern Sumatra is predominantly related to three major causes: (1) variations in upwelling intensity; (2) an elevated freshwater input into the southern Makassar Strait leading to reduced supply of warmer surface waters from the western Pacific and increased subsurface water transport via the Indonesian Throughflow into the Indian Ocean; and (3) long-term changes in the intensity or frequency of low-latitude climate phenomena, such as El Niño-Southern Oscillation.

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Mode of access: Internet.

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Imprint varies.

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The second booke: the true and perfect description of the whole coast of Guinea, Manicongo, Angola, Manicongo, Angola, Monomotapa ... / and now translated out of dutch into english by W.P. (p. [3], 198-259) -- The thirde booke: The nauigation of the Portingales into the East Indies, containing their trauels by sea, into East India, and from the East Indies into Portingall ... / translated out of dutch by W.P. (p.[2], 307-447) -- The fourth booke: A most true and certaine extract and summarie of all the rents, demaines, tolles, taxes, impostes, tributes ... of the King of Spania ... / translated out of spanish into low-dutch by Iohn Hughen ... and out of dutch into english by W.P. (p. [3], 452-462)

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1. Solomon Islands, Bismarck Archipelago and islands off the southestern end of New Guinea.--2. New Guinea and nearby islands.--3. Lesser Sundas and Moluccas.--4. Hawaiian Islands.--5. Celebes.--6. Caroline, Marianas, Marshall and Gilbert Islands.--7. Islands of the central and south Pacific.--8. Borneo.--9. Java.--10. Sumatra.--11. Malay states.--12. French Indochina and South China Sea.--13. Formosa (Taiwan).--14. Japan.--15. China Coast.

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In this thesis, research for tsunami remote sensing using the Global Navigation Satellite System-Reflectometry (GNSS-R) delay-Doppler maps (DDMs) is presented. Firstly, a process for simulating GNSS-R DDMs of a tsunami-dominated sea sur- face is described. In this method, the bistatic scattering Zavorotny-Voronovich (Z-V) model, the sea surface mean square slope model of Cox and Munk, and the tsunami- induced wind perturbation model are employed. The feasibility of the Cox and Munk model under a tsunami scenario is examined by comparing the Cox and Munk model- based scattering coefficient with the Jason-1 measurement. A good consistency be- tween these two results is obtained with a correlation coefficient of 0.93. After con- firming the applicability of the Cox and Munk model for a tsunami-dominated sea, this work provides the simulations of the scattering coefficient distribution and the corresponding DDMs of a fixed region of interest before and during the tsunami. Fur- thermore, by subtracting the simulation results that are free of tsunami from those with presence of tsunami, the tsunami-induced variations in scattering coefficients and DDMs can be clearly observed. Secondly, a scheme to detect tsunamis and estimate tsunami parameters from such tsunami-dominant sea surface DDMs is developed. As a first step, a procedure to de- termine tsunami-induced sea surface height anomalies (SSHAs) from DDMs is demon- strated and a tsunami detection precept is proposed. Subsequently, the tsunami parameters (wave amplitude, direction and speed of propagation, wavelength, and the tsunami source location) are estimated based upon the detected tsunami-induced SSHAs. In application, the sea surface scattering coefficients are unambiguously re- trieved by employing the spatial integration approach (SIA) and the dual-antenna technique. Next, the effective wind speed distribution can be restored from the scat- tering coefficients. Assuming all DDMs are of a tsunami-dominated sea surface, the tsunami-induced SSHAs can be derived with the knowledge of background wind speed distribution. In addition, the SSHA distribution resulting from the tsunami-free DDM (which is supposed to be zero) is considered as an error map introduced during the overall retrieving stage and is utilized to mitigate such errors from influencing sub- sequent SSHA results. In particular, a tsunami detection procedure is conducted to judge the SSHAs to be truly tsunami-induced or not through a fitting process, which makes it possible to decrease the false alarm. After this step, tsunami parameter estimation is proceeded based upon the fitted results in the former tsunami detec- tion procedure. Moreover, an additional method is proposed for estimating tsunami propagation velocity and is believed to be more desirable in real-world scenarios. The above-mentioned tsunami-dominated sea surface DDM simulation, tsunami detection precept and parameter estimation have been tested with simulated data based on the 2004 Sumatra-Andaman tsunami event.