Relationship between Mixed Pixel Spectral Value of Landsat 8 OLI Data and LAPAN Surveillance Aircraft (LSA) Aerial Photo Data

Medium resolution satellite data such as Landsat is very potential for mixed pixel (mixel) to occur. Indonesian land use diverse especially urban areas makes high potential mixel in the first Landsat pixel size of 30 meters x 30 meters on the actual condition. Aircraft multispectral aerial photo dat...

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Main Authors: Nurwita Mustika Sari, Galdita Aruba Chulafak, Zylshal Zylshal, Dony Kushardono
Format: Article
Language:English
Published: Muhammadiyah University Press 2017-07-01
Series:Forum Geografi
Subjects:
Online Access:http://journals.ums.ac.id/index.php/fg/article/view/3500
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spelling doaj-5df32704821e474bba37f6cd84ce09c52020-11-24T22:34:27ZengMuhammadiyah University PressForum Geografi0852-06822460-39452017-07-0131110.23917/forgeo.v31i1.35002959Relationship between Mixed Pixel Spectral Value of Landsat 8 OLI Data and LAPAN Surveillance Aircraft (LSA) Aerial Photo DataNurwita Mustika Sari0Galdita Aruba Chulafak1Zylshal Zylshal2Dony Kushardono3Remote Sensing Applications Centre LAPANRemote Sensing Applications Centre LAPANRemote Sensing Applications Centre LAPANRemote Sensing Applications Centre LAPANMedium resolution satellite data such as Landsat is very potential for mixed pixel (mixel) to occur. Indonesian land use diverse especially urban areas makes high potential mixel in the first Landsat pixel size of 30 meters x 30 meters on the actual condition. Aircraft multispectral aerial photo data LAPAN Surveillance Aircraft (LSA) with a spatial resolution reached 58 cm can display objects in more detail in these sizes. The purpose of this research is to study mixel on Landsat data with multispectral data LSA as a complement Landsat data. The method proposed in this study is a visual interpretation with GEOBIA method for classification of land cover, and then test the validity of the sample to be used in research, and the use of such vegetation index NDVI to see the connection between vegetation index data of vegetation index LSA with Landsat data. The results showed that the regression equation obtained by regression between NDVI of Landsat data and NDVI of  LSA with a significance of less than 0.05 is y = 0.732x - 0102 with a value of R2 = 0.887. Through these results we can conclude that the NDVI values on both the data related to one another.http://journals.ums.ac.id/index.php/fg/article/view/3500Mixed pixelaerial remote sensingLandsatOBIANDVI
collection DOAJ
language English
format Article
sources DOAJ
author Nurwita Mustika Sari
Galdita Aruba Chulafak
Zylshal Zylshal
Dony Kushardono
spellingShingle Nurwita Mustika Sari
Galdita Aruba Chulafak
Zylshal Zylshal
Dony Kushardono
Relationship between Mixed Pixel Spectral Value of Landsat 8 OLI Data and LAPAN Surveillance Aircraft (LSA) Aerial Photo Data
Forum Geografi
Mixed pixel
aerial remote sensing
Landsat
OBIA
NDVI
author_facet Nurwita Mustika Sari
Galdita Aruba Chulafak
Zylshal Zylshal
Dony Kushardono
author_sort Nurwita Mustika Sari
title Relationship between Mixed Pixel Spectral Value of Landsat 8 OLI Data and LAPAN Surveillance Aircraft (LSA) Aerial Photo Data
title_short Relationship between Mixed Pixel Spectral Value of Landsat 8 OLI Data and LAPAN Surveillance Aircraft (LSA) Aerial Photo Data
title_full Relationship between Mixed Pixel Spectral Value of Landsat 8 OLI Data and LAPAN Surveillance Aircraft (LSA) Aerial Photo Data
title_fullStr Relationship between Mixed Pixel Spectral Value of Landsat 8 OLI Data and LAPAN Surveillance Aircraft (LSA) Aerial Photo Data
title_full_unstemmed Relationship between Mixed Pixel Spectral Value of Landsat 8 OLI Data and LAPAN Surveillance Aircraft (LSA) Aerial Photo Data
title_sort relationship between mixed pixel spectral value of landsat 8 oli data and lapan surveillance aircraft (lsa) aerial photo data
publisher Muhammadiyah University Press
series Forum Geografi
issn 0852-0682
2460-3945
publishDate 2017-07-01
description Medium resolution satellite data such as Landsat is very potential for mixed pixel (mixel) to occur. Indonesian land use diverse especially urban areas makes high potential mixel in the first Landsat pixel size of 30 meters x 30 meters on the actual condition. Aircraft multispectral aerial photo data LAPAN Surveillance Aircraft (LSA) with a spatial resolution reached 58 cm can display objects in more detail in these sizes. The purpose of this research is to study mixel on Landsat data with multispectral data LSA as a complement Landsat data. The method proposed in this study is a visual interpretation with GEOBIA method for classification of land cover, and then test the validity of the sample to be used in research, and the use of such vegetation index NDVI to see the connection between vegetation index data of vegetation index LSA with Landsat data. The results showed that the regression equation obtained by regression between NDVI of Landsat data and NDVI of  LSA with a significance of less than 0.05 is y = 0.732x - 0102 with a value of R2 = 0.887. Through these results we can conclude that the NDVI values on both the data related to one another.
topic Mixed pixel
aerial remote sensing
Landsat
OBIA
NDVI
url http://journals.ums.ac.id/index.php/fg/article/view/3500
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AT zylshalzylshal relationshipbetweenmixedpixelspectralvalueoflandsat8olidataandlapansurveillanceaircraftlsaaerialphotodata
AT donykushardono relationshipbetweenmixedpixelspectralvalueoflandsat8olidataandlapansurveillanceaircraftlsaaerialphotodata
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