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Agus Aris
G051110011
   Remote sensing is the science and art of obtaining information
    about an object, area, or phenomenon through the analysis of
    data acquired by a device that is not in contact with the object,
    area, or phenomenon under investigation
   Remote sensing is one method of observation or measurement of
    the spatial elements of the earth's surface. method is very
    effective and efficient has many variants in providing spatial
    data records, then to improve quality and enhance sensors
    recording data related to the production end of the spatial data
    (hardcopy), carried out the processes of digital image
    processing. In this connection we also use the device ErDas or Er
    Mapper
   Erdas is one of the benefits for image processing in the process
    of classifying the coastal area or an area of land cover
   Make a land cover using Software Remote sensing

   Measure land cover area in Central Java




       Sensor Name     Spatial    SpectralResolusi           Radiometrik       Temporal     launch
                      Resolusi    Number of Band &          Resolution (bit)   Resolution     time
                        (m)        wavelength (µm)                               (day)
      LANDSAT 7 ETM
      Multispectral
      -Reflective       30 m     Band 1-5&7 : 0.4 – 2.35           8            16 days      1998
      -Thermal          90 m     Band 6     : 10.4– 12.5           8
      Pan               15 m     Band 8     : 0.52 – 0.90          8
 Composit
 Georeference   ( Geometric Correction )
 Masking
 Ground   check using Googel Earth
 Make AOI (Area Of Interest)
 Classification Supervised
Composit is how do we combine all the bands




         Before                           After
Georeference is how to make same the coordinate of
the image with the actual conditions on the ground




        Before                      After
Masking is a
step of being
done to
eliminate some
areas that are
not needed
 Color
   Tone
   Size
   Pattern
   Texture
   Shape
   Shadow
   Association
 Porpose  AOI using to make the area for
 classification
2000            Exelent
1900 - < 2000   Good
1800 - < 1900   Fair
1600 - < 1800   Poor
< 1600          Inseparable




                              overall accuracy   88.23895457


                              kappa accuracy     81.12461401
A method used to group classes defined by the user by
using the Training Area
Area = Number of Pixel / Resolusi
Presentation remote sensing

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Presentation remote sensing

  • 2. Remote sensing is the science and art of obtaining information about an object, area, or phenomenon through the analysis of data acquired by a device that is not in contact with the object, area, or phenomenon under investigation  Remote sensing is one method of observation or measurement of the spatial elements of the earth's surface. method is very effective and efficient has many variants in providing spatial data records, then to improve quality and enhance sensors recording data related to the production end of the spatial data (hardcopy), carried out the processes of digital image processing. In this connection we also use the device ErDas or Er Mapper  Erdas is one of the benefits for image processing in the process of classifying the coastal area or an area of land cover
  • 3. Make a land cover using Software Remote sensing  Measure land cover area in Central Java Sensor Name Spatial SpectralResolusi Radiometrik Temporal launch Resolusi Number of Band & Resolution (bit) Resolution time (m) wavelength (µm) (day) LANDSAT 7 ETM Multispectral -Reflective 30 m Band 1-5&7 : 0.4 – 2.35 8 16 days 1998 -Thermal 90 m Band 6 : 10.4– 12.5 8 Pan 15 m Band 8 : 0.52 – 0.90 8
  • 4.  Composit  Georeference ( Geometric Correction )  Masking  Ground check using Googel Earth  Make AOI (Area Of Interest)  Classification Supervised
  • 5. Composit is how do we combine all the bands Before After
  • 6. Georeference is how to make same the coordinate of the image with the actual conditions on the ground Before After
  • 7. Masking is a step of being done to eliminate some areas that are not needed
  • 8.
  • 9.  Color  Tone  Size  Pattern  Texture  Shape  Shadow  Association
  • 10.  Porpose AOI using to make the area for classification
  • 11. 2000 Exelent 1900 - < 2000 Good 1800 - < 1900 Fair 1600 - < 1800 Poor < 1600 Inseparable overall accuracy 88.23895457 kappa accuracy 81.12461401
  • 12. A method used to group classes defined by the user by using the Training Area
  • 13. Area = Number of Pixel / Resolusi