40,580 research outputs found

    Experiments in Aerial Photography

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    Heksacopter Pencitraan Udara Berteknologi GPS

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    Nowadays the need of aerial photography increased. Heksacopter is a vehicle of development from helicopter which has 6 blades as their actuators. Heksacopter can do aerial photography well because it has a good level of stability. An advanced technology is added to Heksacopter to support the aerial photography, such as Global Position System (GPS) that used to know the vehicle coordinates. This makes Heksacopter fly to some specify coordinates and doing aerial photography automatically. Heksacopter is expected able to fulfil the needs of aerial photography

    Integration of remote sensing and surface geophysics in the detection of faults

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    Remote sensing was included in a comprehensive investigation of the use of geophysical techniques to aid in underground mine placement. The primary objective was to detect faults and slumping, features which, due to structural weakness and excess water, cause construction difficulties and safety hazards in mine construction. Preliminary geologic reconnaissance was performed on a potential site for an underground oil shale mine in the Piceance Creek Basin of Colorado. LANDSAT data, black and white aerial photography and 3 cm radar imagery were obtained. LANDSAT data were primarily used in optical imagery and digital tape forms, both of which were analyzed and enhanced by computer techniques. The aerial photography and radar data offered supplemental information. Surface linears in the test area were located and mapped principally from LANDSAT data. A specific, relatively wide, linear pointed directly toward the test site, but did not extend into it. Density slicing, ratioing, and edge enhancement of the LANDSAT data all indicated the existence of this linear. Radar imagery marginally confirmed the linear, while aerial photography did not confirm it

    Assessment of LANDSAT for rangeland mapping, Rush Valley, Utah

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    The feasibility of using LANDSAT MSS (multispectral scanner) data to identify and map cover types for rangeland, and to determine comparative condition of the ecotypes was assessed. A supporting objective is to assess the utility of various forms of aerial photography in the process. If rangelands can be efficiently mapped with Landsat data, as supported by appropriate aerial photography and field data, then uniform standards of cover classification and condition may be applied across the rangelands of the state. Further, a foundation may be established for long-term monitoring of range trend, using the same satellite system over time

    Major lineaments and possible calderas defined by side looking airborne radar imagery, St. Francois Mountains, Missouri

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    Side-looking radar imagery superiority over aerial photography of geological faults and patterns in St. Francis Mountains, Missour

    Mapping islands, reefs and shoals in the oceans surrounding Australia

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    The author has identified the following significant results. Comparisons of the imagery with aerial photography of areas of reefs and island and with 1:250,000 maps of coastlines indicate that the MSS imagery depicts detail to an extent which is satisfactory for 1:250,000 mapping. As the imagery does not have some of the disadvantages of aerial photography, the former should be valuable for mapping reefs, islands, and shoals. The water discoloration problem is significant as the discolored water appears to occur near shallow depths, so that confusion could arise through the misinterpretation of discolored water, when it exists, as shallow water

    Aerial Photography Techniques to Estimate Populations of Laughing Gull Nests in Jamaica Bay, New York, 1992-1995

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    We evaluated aerial photography (full coverage, using fixed-wing aircraft) and aerial video (transects, using helicopter) surveys to estimate the population of Laughing Gull (Larus ahicilla) nests in Jamaica Bay, New York, during June 1992-1995. We counted 4,920 nests in the colony using aerial photography and estimated 5,367 nests using aerial video in 1992. In 1993-1995, we respectively counted 5,691,5,095, and 6,126 nests in the colony using aerial photography, and estimated from ground plots that our counts differed from the actual number of nests by means of -9% to 1%. Overall (1993-1995) correction factors (by which to multiply the aerial photography nest counts) to estimate the mean and 95% lower and upper CI range of the nest population were 1.04, 0.96 and 1.13, respectively. Ninety-seven percent of nests identified using aerial photography or video had 21 adult Laughing Gull present or within 1 m of the nest. The aerial video survey was less expensive (2,100UnitedStatescurrency)thantheaerialphotographysurvey(2,100 United States currency) than the aerial photography survey (4,000). The estimated cost of a total count of nests from the ground is 6,700−6,700- 9,600. The aerial video survey provided an accurate estimate of the number of nests. Full coverage aerial photography also provided an accurate estimate of nests in addition to habitat, nest distribution and nest density data

    Wetland mapping from digitized aerial photography

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    Computer assisted interpretation of small scale aerial imagery was found to be a cost effective and accurate method of mapping complex vegetation patterns if high resolution information is desired. This type of technique is suited for problems such as monitoring changes in species composition due to environmental factors and is a feasible method of monitoring and mapping large areas of wetlands. The technique has the added advantage of being in a computer compatible form which can be transformed into any georeference system of interest

    Eelgrass Distribution in the Great Bay Estuary 2003

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    In 2004, the NHEP funded annual monitoring for eelgrass in GBE. We collected aerial photography of eelgrass coverage for 2004 and mapped eelgrass distribution for 2003 from the information gathered the previous year. The present report presents the eelgrass distribution information for 2003

    Multistage, multiband and sequential imagery to identify and quantify non-forest vegetation resources

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    Earth Resources photographs from Apollo 6, 7, and 9 and photographs taken during Gemini 4, were used in the research along with high altitude and conventional aerial photography. A unified land use and resource analysis system was devised and used to develop a mapping legend. The natural vegetation, land use, macrorelief, and landforms of northern Maricopa County, Arizona, were analyzed and inventoried. This inventory was interpreted in relation to the critical problem of urban expansion and agricultural production in the study area. The central thrust of the research program has been to develop methods for use of space and small-scale, high-altitude aerial photography to develop information for land use planning and resource allocation decisions
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