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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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 |
work_keys_str_mv |
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