969 resultados para Natural resources -- Remote sensing


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This layer is a digital raster graphic of the historic 15-minute USGS topographic map of the Provincetown, Massachusetts quadrangle. The survey date (ground condition) of the original paper map is 1887, the edition date is July, 1889 and this map has a reprint date of January, 1900. A digital raster graphic (DRG) is a scanned image of a U.S. Geological Survey (USGS) standard series topographic map, including all map collar information. The image inside the map neatline is geo-referenced to the surface of the earth and fit to the Universal Transverse Mercator projection. The horizontal positional accuracy and datum of the DRG matches the accuracy and datum of the source map.

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This layer is a digital raster graphic of the historic 15-minute USGS topographic map of the Taunton, Massachusetts quadrangle. The survey date (ground condition) of the original paper map is 1885, the edition date is September, 1893 and this map has a reprint date of 1940. A digital raster graphic (DRG) is a scanned image of a U.S. Geological Survey (USGS) standard series topographic map, including all map collar information. The image inside the map neatline is geo-referenced to the surface of the earth and fit to the Universal Transverse Mercator projection. The horizontal positional accuracy and datum of the DRG matches the accuracy and datum of the source map.

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As the new European Commission steps in and looks for ways to promote growth and competitiveness, its success will depend on what emphasis will be given to creating a more sustainable European economy. What will determine the EU’s competitiveness and comparative advantage on a global scene is how well we will respond to the ongoing economic and ecological crises – which are intertwined and reinforce each other. The big question is what emphasis will the new Commission and the EU as a whole give to promoting sustainable and greener growth, based on good management of natural resources and biodiversity, smarter use of resources and mitigating climate change?

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Modeling natural phenomena from 3D information enhances our understanding of the environment. Dense 3D point clouds are increasingly used as highly detailed input datasets. In addition to the capturing techniques of point clouds with LiDAR, low-cost sensors have been released in the last few years providing access to new research fields and facilitating 3D data acquisition for a broader range of applications. This letter presents an analysis of different speleothem features using 3D point clouds acquired with the gaming device Microsoft® Kinect. We compare the Kinect sensor with terrestrial LiDAR reference measurements using the KinFu pipeline for capturing complete 3D objects (< 4m**3). The results demonstrate the suitability of the Kinect to capture flowstone walls and to derive morphometric parameters of cave features. Although the chosen capturing strategy (KinFu) reveals a high correlation (R2=0.92) of stalagmite morphometry along the vertical object axis, a systematic overestimation (22% for radii and 44% for volume) is found. The comparison of flowstone wall datasets predominantly shows low differences (mean of 1 mm with 7 mm standard deviation) of the order of the Kinect depth precision. For both objects the major differences occur at strongly varying and curved surface structures (e.g. with fine concave parts).

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The Tara Oceans Expedition (2009-2013) sampled the world oceans on board a 36 m long schooner, collecting environmental data and organisms from viruses to planktonic metazoans for later analyses using modern sequencing and state-of-the-art imaging technologies. Tara Oceans Data are particularly suited to study the genetic, morphological and functional diversity of plankton. The present dataset contains navigation and meteorological data measured during one campaign of the Tara Oceans Expedition. Latitude and Longitude were obtained from TSG data.

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The Tara Oceans Expedition (2009-2013) sampled the world oceans on board a 36 m long schooner, collecting environmental data and organisms from viruses to planktonic metazoans for later analyses using modern sequencing and state-of-the-art imaging technologies. Tara Oceans Data are particularly suited to study the genetic, morphological and functional diversity of plankton. The present dataset contains navigation and meteorological data measured during one campaign of the Tara Oceans Expedition. Latitude and Longitude were obtained from TSG data.

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Focusing on an overlapping protected area and indigenous territory in the Bolivian Amazon, this article discusses how indigenous people continue to negotiate access to natural resources. Using the theoretical framework of New Institutionalism, ethnographic data from participatory observations, and interviews with Takana indigenous resource users and park management staff, we identified four phases of institutional change. We argue that under the current institutionally pluralistic setting in the overlapping area, indigenous users apply “institutional shopping” to choose, according to their power and knowledge, the most advantageous institutional framework in a situation. Indigenous users strategically employed arguments of conservation, indigeneity, or long-term occupation to legitimize their claims based on the chosen institution. Our results highlight the importance of ideologies and bargaining power in shaping the interaction of individuals and institutions. As a potential application of our research to practice, we suggest that rather than seeing institutional pluralism solely as a threat to successful resource management, the strengths of different frameworks may be combined to build robust institutions from the bottom up that are adapted to the local context. This requires taking into account local informal institutions, such as cultural values and beliefs, and integrating them with conservation priorities through cross-cultural participatory planning.

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Bibliography: p. [29-33] (2d. group)

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The Summary I. 1-15, being the Press bulletin no. 10.