applications of-geoinformatics

73
GEOINFORMATICS FOR INTEGRATED PLANNING & MANAGEMENT OF RESOURCES

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Page 1: Applications of-geoinformatics

GEOINFORMATICS

FOR

INTEGRATED PLANNING

& MANAGEMENT OF

RESOURCES

Page 2: Applications of-geoinformatics

Quality of Life Information Transparency Concern Solutions Value for Money

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Project Application

Identification of the problem

Extent of the problem

Existing status of the problem

Parameters affecting the problem

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It is required to

Extract information for all the parameters at Macro Level

To generate the data base relating to these parameters that is understood and used by implementers

To develop object oriented Modules solve problems at local level viz. Irrigation requirement, sources and plan at village level,

To device feedback mechanisms

To forecast situations arising out of change in parameters

To reach to centralized strategy and management plan at regional level

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How it may be achieved

1. Collecting Temporal Information about the parameters

through Remote Sensing

2. Make the data collected meaningful by attaching attributes

through GIS

3. Make the data intelligent by devising Decision Support Systems

4. Make the Data real through integration GIS data collection using GPS

5. Assessing the adopted solutions through visualization of

results

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Monsoon tracking system

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NON

VEGETATED AREAS

VEGETATED AREAS

CULTIVATED AREAS

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Cricket Ground

Boys Hostel

Auditorium

Satellite View of VNIT

N

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Administrative Block

South Ambazari Road

Rose Garden

Library

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Aspects of Image Interpretation

•Detection•Recognition & Identification•Analysis / Grouping•Significance and level•Classification•Standardization/Quantization

1. LANDUSE CLASSIFICATION

2. MORPHOLOGY

3. URBAN ANALYSES

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River system described on the basis of a DEM

River system described on the basis of a map

(Cape Fear River, NC)

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Western River Basins Sector project,Sri Lanka, 1998-99

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Western River Basins Sector project,Sri Lanka, 1998-99

Resource Overview, all basins

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Sector studies, ZACPLAN, 1997-98

Kariba Dam, Zambia/Zimbabwe

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NEED FOR REHABILITATION OF WET AREAS

DATA BASE

PRECIPITATION

GROUNDWATER HEADS

SOIL MOISTURE

EVALUATION OF NATURAL FACTOR

INFLUENCING WETNESS CONDITION BY

VARIABILITY / PRECIPITATION /

GROUNDWATER DEPLETION SITUATION/

SOIL WATER BALANCE

GROUND WATER SATURATION RATES/ GROUND WATER APPROACHING HAZARD /DECREASE IN SOIL WATER STORAGE FUNCTION

EVALUATION OF IMPACT ON HYDROLOGICAL SCENARIO/ SOIL WATER STORAGE IMBALANCE

DELINEATION OF WATER LOGGED AREAS

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3D MODEL GENERATED FROM IMAGE ANALYSIS

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SOLID SHADED DEM IN PERSPECTIVE VIEW

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LISS - III DRAPED - PERSEPCTIVE VIEW

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IRS LISS III Image of Pioli Watershed

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Fifth Order

Fourth Order

Third Order

Second Order

First Order

Drainage Map of Pioli Watershed

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Urban Encroachment Within Pioli Watershed

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* Sediment Transport within a watershed

Quantitative Approach S y affected by Drainage DensityStream SlopeAnnual Runoff Vegetal Factor Mean Annual TemperatureQualitative approach Overlaying all the layers and assigning weights

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Land Capabilities

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DELINEATION AND CHARACTERIZATION OF THE RECHARGE AREAS FORROOFTOP RAINWATERHARVESTING USING REMOTE SENSING

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Nagpur – IRS LISS III +PAN MERGED IMAGE

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Spectral Enhancement for

Roof Top Extraction

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EIA STUDIES OF NATURAL INFLUENCING PARAMETERS FORGROUNDWATER RECHARGE IN ANURBAN WATERSHED USING RS & GIS

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CLASSIFIED(UNSUPERVISED) LISS III IMAGE OF THE PORA WATERSHED

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CLASSIFIED(SUPERVISED)LISS III IMAGE OF THE PORA WATERSHED

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BUFFER ZONATION SHOWING WATER QUALITY STATUS

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NEOTECTONIC STUDIES

FOR DELINEATION OF SEISMIC MOVEMENTS AND STRUCTURES USING REMOTE SENSING DATA

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Classified NDVI Image

Thick vegetation

Sparse vegetation

Less vegetation

Water

Medium vegetation

No vegetation

N

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32.1-33.831.7-32.4

31.4-32.330.9-31.4

29.4-29.9

28.4-29.727.1-28.7

Classified Image Showing Temperature Zones

N

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N

EW

S

war d no 7 2war d no 7 2

war d no 7 1war d no 7 1

war d n o 7 0war d n o 7 0

STUDY AREA OF NAGPUR CITY

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Rblock70commercialgrave yardindustrialindustrial+commercialinstitutionalopenresidentialresidential+commercialresidential+industrialresidential+institutional

N

EW

S

A R E A C H A R A C TE R IS TIC O F WA R D N O .7 0H A R IH A R M A N D IR

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Rblock70serviceservice+businessindustrialservice+industrial0businessothers

N

EW

S

OCCUPATION ( WARD 70 )

WARD 70: OCCUPATION

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Rblock7000 - 0.250.25 - 1.081.08 - 1.251.25 - 3.143.14 - 3.453.45 - 6.436.43 - 7.27.2 - 1010 - 69.16

N

EW

S

PAPER CONTENT ( WARD 70 )

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0 - 910 - 2829 - 5758 - 9091 - 267

N

EW

S

WARD 71: QUANTITY OF WASTE ( Kg/Day)

0 - 6.36.3 - 15.215.2 - 21.421.4 - 23.623.6 - 24.124.1 - 24.924.9 - 27.527.5 - 43.1

N

EW

S

WARD 71: MOISTURE CONTENT

0 - 1011 - 3536 - 5556 - 8081 - 90

N

EW

S

WARD 71:PAY WHEN FORCED

08000 - 1160011600 - 2350023500 - 4080040800 - 4710047100 - 6320063200 - 7980079800 - 105500105500 - 181000

N

EW

S

WARD 71: POPULATION DENSITY

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OPTIMIZED PATH

Disposal site

Collection point

Road network

Shortest Route

Disposal Site

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EIA STUDY OF KORADI

THERMAL POWER STATION AREA

USING

REMOTE SENSING AND GIS

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KORADI

MERGE

IMAGE

RESOLUTION 5.8m

N

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KORADI NDVI IMAGE SHOWING CHLOROPHYLL CONCENTRATION

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IDENTIFICATION OF ACCIDENT PRONE POINTS

THROUGH

MODELING IN GIS AND MONITORING OF CO LEVELS

CARBON MONOXIDEUNBURNT COMPLEX HYDROCARBONSOXIDES OF NITROGENOXIDES OF SULPHURLEAD COMPOUNDSSMOKECARBON DIOXIDENITROGEN

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IDENTIFICATION OF ACCIDENT PRONE POINTS ON NH-6 THROUGH MODELLING IN GIS

ACCIDENT PRONE POINTS

NAGPUR

KONDHALI

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Technology is here .....Technology is here .....