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Remote Sensing

A Canada Centre for Remote Sensing Remote Sensing Tutorial

A Canada Centre for Remote Sensing Remote Sensing Tutorial

... of remote sensing imagery involves the identification of various targets in an image, and those targets may be environmental or artificial features which consist of points, lines, or ...

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Editorial "Remote sensing in hydrological sciences"

Editorial "Remote sensing in hydrological sciences"

... A further important means for improving hydraulic sim- ulations is to calibrate the models with water stage maps derived from remote sensing images taken during flooding events. This calibration usually ...

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Innovative technologies for terrestrial remote sensing

Innovative technologies for terrestrial remote sensing

... for remote sensing development, practice and exploitation—the Remote Sensing and Photogrammetry Society (academia), the National Centre for Earth Observation (government) and the British ...

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Remote sensing of phytoplankton in the Southern Ocean

Remote sensing of phytoplankton in the Southern Ocean

... validate remote sensing algorithms, have the potential to make ocean colour radiometry a robust method for assessing climate change impacts on the Southern Ocean ...

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A Tutorial on Classification of Remote Sensing Data

A Tutorial on Classification of Remote Sensing Data

... of remote sensing ...analyze remote sensing images and set up convenient classifications and patterns in the images for scientific research and commercial ...purposes. Remote ...

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REMOTE SENSING IN FOOD PRODUCTION – A REVIEW

REMOTE SENSING IN FOOD PRODUCTION – A REVIEW

... Leaf area index (LAI) is the most widely used descriptor of canopy structure in remote sensing studies (Homolová et al., 2013). LAI refers to the amount of leaf material present in plant canopies and ...

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Remote sensing of volcanic hazards and their precursors

Remote sensing of volcanic hazards and their precursors

... magma was sourced from a pre-existing magma body at some 4–5 km depth. The InSAR study of the 2011 Eyjafjallaj¨okull activity provides an example of how remote sensing can be utilized to study precursors to ...

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Developments in budget remote sensing for the geosciences

Developments in budget remote sensing for the geosciences

... or remote sensing surface measurement became available with the capability of unprecedented (dense) coverage and incredibly fast capture of millions of surface point measurements per day, possibly even per ...

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Haze removal concept in remote sensing

Haze removal concept in remote sensing

... board remote sensing ...of remote sensing ...from remote sensing ...Haze, Remote Sensing, Classification Accuracy ...

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URBAN PLANNING USING REMOTE SENSING

URBAN PLANNING USING REMOTE SENSING

... a remote sensing system is usually an image representing the scene being ...Since remote sensing may not provide all the information needed for a full-fledged assessment, many other spatial ...

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Estimation of Actual Evapotranspitration by Remote Sensing

Estimation of Actual Evapotranspitration by Remote Sensing

... important. Remote sensing technologies can assist to improve the estimation accuracy also providing means for computing evapotranspiration geographical ...

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Role of Remote Sensing and GIS in Cyclone

Role of Remote Sensing and GIS in Cyclone

... In this stage, re-building of destroyed/damaged facilities and adjustments of the existing infrastructure will occur. The time factor is not as critical as in the last stage. Nevertheless, both medium and high-resolution ...

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Mobile Robots for Polar Remote Sensing

Mobile Robots for Polar Remote Sensing

... At the University of Kansas, mobile robots have been utilized to autonomously sup- port the Center for Remote Sensing of Ice Sheets (CReSIS) [10] and Polar Radar for Ice Sheet Measurements (PRISM) [23] ...

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Research on Remote Sensing Image Fusion Based on Compressive Sensing Algorithm

Research on Remote Sensing Image Fusion Based on Compressive Sensing Algorithm

... GF-1 is a high resolution satellite launched by China. The PMS sensor of GF-1 provides a panchromatic band with 2m spatial resolution and four multispectral bands with 8m spectral resolution. In this paper, we choose ...

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Remote Sensing / An object-based semantic classification method for high resolution remote sensing imagery using ontology

Remote Sensing / An object-based semantic classification method for high resolution remote sensing imagery using ontology

... resolution remote sensing imagery using ...enhance remote sensing image classification, particularly by enhancing the degree of automation and the reusability and transferability of the ...

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Remote Sensing: An environmentally friendly tool to enhance environmental education at the Department of Remote Sensing, Universiti Teknologi Malaysia

Remote Sensing: An environmentally friendly tool to enhance environmental education at the Department of Remote Sensing, Universiti Teknologi Malaysia

... Integrating remote sensing (RS) technology into environment is a new way to promote EE where RS is being used as a tool to explore environmental problems and find quick and best solutions to the ...offering ...

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Hyperspectral Image Classification for Remote Sensing

Hyperspectral Image Classification for Remote Sensing

... the remote sensing hyperspectral datasets is the lack of enough labeled data, we proposed a method to generate virtual samples using the available ground truth ...several remote sensing ...

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Hyperspectral Remote Sensing for Terrestrial Applications

Hyperspectral Remote Sensing for Terrestrial Applications

... Abdel­Rahman, E.M., Mutanga, O., Adam, E., Ismail, R., 2014. Detecting Sirex noctilio grey­attacked and lightning­ struck pine trees using airborne hyperspectral data, ran­ dom forest and support vector machines ...

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Hyperspectral Remote Sensing of Coastal Environment

Hyperspectral Remote Sensing of Coastal Environment

... The water near the coastline of Finland is largely influenced by discharge from numerous rivers. In the case of large rivers, this influence can cover wide areas near the coastline. In summer 2008 an airborne ...

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Vehicle Detection In Remote Sensing Images

Vehicle Detection In Remote Sensing Images

... Urban communities everywhere throughout the world manage a large number of vehicles going through their roads every day. The expanding number of vehicles is viewed as the primary reason for traffic jam. This makes it ...

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