application of gis & remote sensing for monitoring of bio-diversity
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RUAANI AHMAD BABA
Roll No. 72
Application of GIS & Remote Sensing forMonitoring of Bio-Diversity.
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Definitiony Remote sensing is the collection of information
about an object without being in direct physicalcontact with the object.
y Remote Sensing is a technology for samplingelectromagnetic radiation to acquire and interpret non-immediate geospatial data from which to extractinformation about features, objects, and classes on theEarth's land surface, oceans, and atmosphere.
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El
ements invol
ved in Remote sensing1. Energy Source or Illumination (A)
2. Radiation and the Atmosphere (B)
3. Interaction with the Object (C)
4. Recording of Energy by the Sensor (D)5. Transmission, Reception and
Processing(E)
6. Interpretation and Analysis (F)
7. Application (G)
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GISGeographic Information System
yAn Information System that is used to input, store ,retrieve, manipulate, analyze and outputgeographically referenced data or geospatial data, inorder to support decision making for planning and
management of land use, natural resources,environment, transportation, urban facilities, andother administrative records.
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The basic elements of a GIS
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AGIS is a 5-part system:
People
Data Hardware
Software
Procedures
AGIS is only as strong as itsweakest link!
Six Functions of a GIS
Capture data
Store data
Query data
Analyze data
Display data
Produce output
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Application of Remote sensing & GIS
y Urbanization & Transportation
y Updating road maps
y Asphalt conditions
y Wetland delineation
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Agriculture
Crop health analysis
Precision agriculture Compliance mapping
Yield estimation
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y Natural Resource Managementy Habitat analysisy Environmental assessmenty Pest/disease outbreaksy Impervious surface mappingy Lake monitoringy Hydrologyy Landuse-Landcover monitoring
y Mineral provincey Geomorphologyy Geology
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National Security-Targeting
- Disaster mapping and monitoring
-Damage assessment-Weapons monitoring
-Homeland security
-Navigation
-Policy
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REGIONAL MANAGEMENT
Land Use Planning/EnvironmentalImpactPublic Works
Emergency Response
Legal Records C
OMMERC
IALMarket Area Analysis
Site Selection
Routing
AGRICULTURAL MANAGEMENTField Records
AnimalManagement
Climate Change / Human Impact
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BiodiversityBiodiversity is the degree of variation oflife formswithin a given ecosystem, biome, or an entire planet.
Biodiversityis a measure of the health of ecosystems.
Biodiversityisin part a function ofclimate. In terrestrial
habitats, tropical regions are typically rich whereaspolar
regions support fewerspecies
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Importance of biodiversity
Intrinsic Value
Biodiversity has an intrinsic value that is worth protecting regardless ofits
value to humans. This argument focuses on the conservation of all species,
even if they are ecologically equivalent species.
Economic benefits
Aesthetic value and recreation
Human health
Business and industry
Ecological services
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Monitoring of Biodiversity
We can monitor biodiversity by:
1.Remote Sensing:
Remote sensing applications have increased the ability of conservation
specialists to assess large geographic areas thoroughly and conductinventories of plant and animal species richness and abundance.
Many of the published reports describe the use of remote sensing
techniquessuch as Landsat TM coupled with GIS for assessing species
diversity (Nagendra 2001; Oindo, Skidmore & De Salvo 2002).
Biodiversity characterization through integration of remote sensing and
geospatial modeling also shows potential.
Byintegrating field surveys with remote sensing, biodiversity can be
effectively mapped, therefore promoting conservation and preservation of
sensitive species and areas.
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The remote-sensing-based information on vegetation and land cover
provides a potential spatial framework and works as one of the vital inputlayers for the following:
1. Vegetation, land cover losses and conversion.
2. Stratification base for optimal ground sampling and assessment of diversity.
3. Fragmentation and neighborhood analysis.
4. Delineation of broader vegetation types and analysis ofspecies assemblages
along with ancillary data.
5. Identification of gregarious and ecological important species.
6. Inputs forspecies habitat models.
7. Spatial delineation of biologically rich zones.
8. Developing conservation strategies.
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Coarse-resolution remote sensing:
Over the past few years, global datasets from coarse spatial resolution sensors
have become more and more readily available (e.g. TOWNSEND et al. 1994,
ARINO & MELINOTTE 1995).
Use ofsatellite image data for mapping and monitoring global land-cover, biomass
burning, estimating geophysical and biophysical characteristics of terrain features,
or monitoring continental-scale climate shift, is a primaryinput for biodiversity
assessment.
During broad-scale mapping of Western Ghats (1:1
,000
,000
scale), 205
patchesbelonging to 11 different landscape types consisting of topography, climate,
population, agriculture and vegetation cover, were delineated using IRS 1B data
(NAGENDRA & GADGIL 1998).
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High-resolution remote sensing:
At the national or local level, IRS, Landsat or SPOT imagery can
provide finer-scale information on forest type distribution and agricultural
expansion.
Radarsystems, such as JERS and Radarsat, are not affected by clouds, and are
useful for determining the extent of forest and non-forest landscapes wheretopographic reliefis not substantial (
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Many data relating to environmental and ecological systems have been collected and
stored in formssuited to management and analysisusing GIS (Aspinall, 1995).
2.GIS for assessing and monitoring biodiversity:
Records ofspecies or habitat can be stored in a database and mapped to show
where they occur. This geographic information can be used to target surveys and
monitoring schemes (Marqules & Austin, 1991).
Data on species or habitat distribution from different dates allow monitoring of the
location of change (where) to be identified and the extent (how much) measured.
Spatial data include maps, satellite imagery and aerial photographs.
It can be used for:Species occurrences,
Sites,
Managed areas,
The conservation status of a particularspecies (e.g Hangul).
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1.Classified 1991 Landsat TM Image of Digya and its
environment.
2.Classified 1991 Landsat TM Image of Digya and its
environment.
BiodiversityManagement Using Remotely Sensed Data and GIS
Technologies: The Case of Digya National Park, Ghana.
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Vegetation &Land cover types ..
Gregarious formationFire .
RemoteSensingSpecies database
ecotones ..
Terrain Climate ...
LandscapeDisturbance . .
Habitats Speciescontouring ..
Bio logically R ich ZonesBio prospectingRisk habitatsConservation zoning
Information system
GISGPSGround truth
Parameterd
erivation
SpatialOutputs
Tools for biodiversity assessment (Geoinformatics)
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3.Global Positioning System (GPS)
A GPS is a satellite-based positioning system that allows the collection of
information about the geographical position of any location using a network
ofsatellites. It has a great potential.
It has a great potential in landscape ecology, as well asin many other related
disciplines requiring geographic locations of he objectsin the landscape
(Farina 1998). Coupled with GIS, it acts as a powerful tool to describethe geographical characteristics of ecological systems.
A practical use of GPS has been in locating the sample plots and this
information wasused for mapping.
The application ofintegrated GPS/GIS technology to habitat utilizationmodelsis particularly powerful because it is capable ofidentifying
the areas of threatened habitats that are most at risk of human
encroachment.
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Applications
1.Identification of Biodiversity:GIS & remote sensing is extensivelyused for the identification of biodiversity.
Varioussatellites (Landsat series, ETM, etc) are used. For example type of
species, canopy cover etc. can be determined.
GPS has been used especially for tracking various threatened species.
For example GPS collar.
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2.Change detection:Land-cover change detection, one of the most
common uses of remotelysensed data, is an
essential component of ecological monitoring
(Aplin, 2005). Change detection and mapping
requires land cover maps from at least two time
periods, and is possible onlyif changesin the
surface phenomena ofinterest result in detectable
differencesin image radiance or emittance (Lunetta
et al., 2002).
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3.Production estimation.
4.Vulneribility areas.
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BIBLIOGRAPHY:
1.http://www.google.co.in/search?q=applications+of+gis+and+remote+sensing+ppt&hl=e
n&gbv=2&prmd=ivns&ei=pJjwTtadHsjf0QGc0NyLAg&start=10&sa=N.
2.http://www.accessengineeringlibrary.com/mghpdf/0071753206_ar006.pdf
3.http://www.ces.iisc.ernet.in/energy/water/paper/Biodiversity_Environment/index.htm
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