Prioritization of Watersheds in Peruvamba river basin, Kannur
district, Kerala:
An integrated approach using Remote Sensing
and GIS technique.

Presented by:
Sampad Kumar Panda
M.Tech. Remote Sensing and GIS
SRM University, Chennai.

OBJECTIVE & MATERIALS

To prepare natural resources inventories by analysis of
Satellite data, Topographic map & other existing datas and
records.
Identifying the Priority areas for the sustainable development
of resources by integration of relief, slope, aspect, geo ....etc

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There are a growing number of people who want to use remotely sensed data and GIS data. What is needed is a large-scale processing and storage system that provides high bandwidth at low cost.

Scalable computing clusters, ranging from a cluster of (homogeneous or heterogeneous) PCs or workstations, to SMPs, are rapidly becoming the standard platforms for high-performance and large-scale computing. To utilize the resources of a parallel computer, a problem had to be algorithmically expressed as comprising a set of concurrently executing sub-p ....etc

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Presented by:
Hong Lu
Nicholas D. Lane
Shane B. Eisenman
Andrew T. Campbell


Abstract

We propose Bubble-Sensing, a new sensor network abstraction that allows mobile phones users to create a binding between tasks (e.g., take a photo, or sample audio every hour indefinitely) and the physical world at locations of interest, that remains active for a duration set by the user. We envision mobile phones being able to affix task bubbles at places of interest and then receive sensed data as it becomes available in a delay-t ....etc

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I am in M.tech final year project. want to do project related to image processing in remote sensing. please send some relevent topics related to it. please help me.............. ....etc

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Efficient water management is a major concern in many cropping systems in semiarid and arid areas. Distributed in-field sensor-based irrigation systemsoffer a potential solution to support site-specific irrigation management that allows producers to maximize their productivity while saving water. This paper describes details of the design and instrumentation of variable rate irrigation, a wireless sensor network, and software for real-time in-field sensing and control of a site-specific precision linear-move irrigation system. Field conditions ....etc

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This project ËœRemote sensing and control of an irrigation system using a distribution wireless sensor networkâ„¢ .water management is a major concern in many cropping systems in semiarid and arid areas. Distributed in-field sensor-based irrigation systems offer a potential solution to support site-specific irrigation management that allows producers to maximize their productivity while saving water. This project describes details of the design and instrumentation of variable rate irrigation, a wireless sensor network, and software for re ....etc

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....etc

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Microwave Remote Sensing

(MRS)

What is microwave remote sensing?
A special application of microwave communications technologies for the purpose of collecting geophysical information about targets (objects and media) without making physical contact.
Microwave reflections or emissions from earth materials bear no direct relationship to their counterparts in the visible portions of the spectrum.

How does Microwave Remote Sensing work?
There is an interaction between the EM waves and matter.
The target imposes a modulation on the EM ....etc

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Presented by:
Hong Lu
Nicholas D. Lane
Shane B. Eisenman
Andrew T. Campbell



Abstract

We propose Bubble-Sensing, a new sensor network abstraction that allows mobile phones users to create a binding between tasks (e.g., take a photo, or sample audio every hour indefinitely) and the physical world at locations of interest, that remains active for a duration set by the user. We envision mobile phones being able to affix task bubbles at places of interest and then receive sensed data as it becomes ....etc

[:=Read Full Message Here=:]

There are a growing number of people who want to use remotely sensed data and GIS data. What is needed is a large-scale processing and storage system that provides high bandwidth at low cost. Scalable computing clusters, ranging from a cluster of (homogeneous or heterogeneous) PCs or workstations, to SMPs, are rapidly becoming the standard platforms for high-performance and large-scale computing. To utilize the resources of a parallel computer, a problem had to be algorithmically expressed as comprising a set of concurrently executing sub-probl ....etc

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