advanced remote sensing


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Emerging legal and ethical issues in advanced remote sensing technology
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Fundamental changes are taking place in the world of remote sensing with respect to three primary developments. First, a new generation of space-borne sensors will be able to deliver high spatial and spectral resolution imagery on a global basis. Technical advances are

Examining the Role of Property-level Variables in Predicting Variations in Urban Forest Quantity Using Advanced Remote Sensing and GIS Methodologies
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Urban forests provide vital services to communities and are crucial for our mental, physical and emotional well-being. Recent research has shown that many variables at a neighbourhood-level are linked to variations in urban forest quantity, however, relationships

Advanced remote sensing techniques for ecosystem data collection
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The problems of monitoring and ecological control of ecosystems of different natures are becoming more and more urgent. Monitoring of the Earths surface has a multidisciplinary character and allows a wide spectrum of issues to be solved. The ecosystem components

Advanced Remote Sensing Research
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Remote sensing is a generic term for monitoring techniques that collect information without being in physical contact with the object of study. Overhead imagery from aircraft and satellite sensors provides the most common form of remotely sensed data and records the

Advanced Remote Sensing
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It is impressive that we can measure millimetre movements at the Earths surface by sending repeated radio waves from a satellite. Since the area covered by InSAR measurements is typically of the order of 50x50 km, it is easy to understand the strength of this tool for

ADVANCED REMOTE SENSING MONITORS THE WATER QUALITY OF THE BELGIAN COASTAL ZONE
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Phaeocystis globosa. This phenomenon affects the marine ecosystem in a negative way, disrupting the food chain and resulting in the deposit of thick layers of odorous white foam on the beach. Sustainable management of this type of marine ecosystems requires detailed

Glacier Ice Velocity Calculation using Advanced Remote Sensing Techniques
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The literature suggests that optical image based correlation techniques appear to be more successful and robust matching method than SAR interferometry for the measurement of glacier ice velocity in Himalayan terrain, and therefore, the former is the focus in this study

Advanced remote sensing techniques and high spatial and spectral resolution data for precision viticulture.
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, Karakizi C., Kandylakis Z., Oikonomou M., Makris G., Georgopoulos A., School of Rural and Surveying Engineering National Technical University of Athens Heroon Polytechniou Zographos, 15780, GREECE* email: karank@ central. ntua. gr, www: http://users. ntua

The Use of Advanced Remote Sensing to Map Pastureland Change in Mongolia
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Pastureland plays an important role for Mongolian animal husbandry because it provides grazing for 50 million livestock and is used by over 170,000 herding families. Pastureland makes up about 82% of the total land area of the country and represents the largest

Advanced remote sensing information system program at ETH Zürich and DLR/DFD Oberpfaffenhofen
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This article presents a frame of research for information retrieval from remote sensing (RS) images, based on a new concept developed at the German Aerospace Center, DLR Oberpfaffenhofen in collaboration with the Swiss Federal Institute of Technology, ETH

An Advanced Remote Sensing Mapping Technique Aimed at a Better Rainfall Water Preservation in Syria
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The scarcity of water resources in Syria, due to its major arid to semi-arid climate (precipitation less 100 mm/year) in a large part of the country, imposes a better rainfall water management in the humid to semi-humid Syrian coast (precipitation over 000 mm/year)

GLOBAL CROPLANDS AND THEIR WATER USE ADVANCED REMOTE SENSING METHODS AND APPROACHES
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The paper provides a comprehensive review of global croplands and their water use. Global cropland (irrigated plus rainfed) areas increased from 265 Mha in year 1700 to about 1.5 Mha in year 2000. Major studies agree in their estimate of total croplands as about 1.5 billion

SAMA-VTOL Aerial Image Dataset (SVAID): A New UAV Image Dataset for Advanced Remote Sensing Research
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SAMA-VTOL aerial image dataset (SVAID) is a new open unmanned aerial vehicles (UAV) image dataset for a wide range of scientific projects in remote sensing (ie 3D object modeling, rural/urban mapping, digital elevation/surface model processing, etc.). Open

Non local linear filtering for advanced remote sensing applied to surface coal mining affected areas mapping
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Surface coal mining activities led in the past to serious land cover damages. Accurate estimation of affected areas dimensions is a key point, eg for latter environmental restoration. To this end remote sensed data turned out to be from several years ago a very

Monitoring snowfall events in Lombardia, Italy, by specialized observers net-work and advanced remote sensing systems.
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Real-time monitoring snowfall events in Po valley is often difficult due to fast temperature variations that change snow/rain limits. For this reason Arpa Lombardia is developing a network of volunteers and automatic weather sensors coupled with radar-based

Comparative Sedimentology Laboratory and Center for Southeastern Tropical Advanced Remote Sensing Rosenstiel School of Marine and Atmospheric
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Tropical cyclones commonly are cited as being influential, or even dominant, controls on the geomorphologic evolution of carbonate systems, and their influence is highlighted in many interpretations of ancient platforms. A unique opportunity to explore the effects of storms on

INTEGRATED ADVANCED REMOTE SENSING GIS STUDY FOR BAMBOO BASED LIVELIHOOD ANALYSIS AND RURAL DEVELOPMENT PLANNING IN
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Mozambique has undergone substantial changes in its natural resources since its independence, largely in response to changing economic and political setting. As a result several polices have been approved and adopted on renewable natural resources and

Integrating advanced remote sensing data into a multi-scale species distribution model (SDM) coupled with a population model to predict the invasion dynamic of a
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Species distribution models (SDMs) are important tools to investigate changing distributions such as spread of invasive species and to propose efficient management strategies. However, to ensure robust predictions of species distribution it is important to develop a CSE PROJECTS

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