DocumentCode
3061443
Title
JAXA High Resolution Land-Use and Land-Cover Map of Japan
Author
Takahashi, Masaharu ; Nasahara, Kenlo Nishida ; Tadono, Takeo ; Watanabe, Toshio ; Dotsu, Masanori ; Sugimura, Toshiro ; Tomiyama, N.
Author_Institution
Earth Obs. Res. Center, Japan Aerosp. Exploration Agency, Tsukuba, Japan
fYear
2013
fDate
21-26 July 2013
Firstpage
2384
Lastpage
2387
Abstract
Japan Aerospace Exploration Agency creates the “JAXA High Resolution Land-Use and Land-Cover Map (JHR LULC Map)” in Japan. The data was acquired by the Advanced Visible and Near Infrared Radiometer type 2 (AVNIR-2), onboard the Advanced Land Observation Satellite. Ortho-rectification, atmospheric and slope correction were applied to the AVNIR-2 data. The number of the input data for the classification is 1,876 scenes which were acquired from April 28, 2006 to April 15, 2011. The classification categories are 1) water, 2) urban, 3) paddy, 4) crop, 5) grass, 6) deciduous forest, 7) evergreen forest, 8) bare land, and 9) snow and ice. Pixel spacing of the JHR LULC Map is 0.000278° and 0.000333° for the latitude and longitude, respectively. The temporal classification accuracy was found to be 89.3%, which was calculated using the validated accuracy of the classification multiplied by the surface ratio in each category by the Ministry of Internal Affairs and Communications.
Keywords
geophysical image processing; geophysical techniques; image classification; image segmentation; land cover; land use; remote sensing; vegetation; AD 2006 04 28 to 2011 04 15; AVNIR-2 data; Advanced Land Observation Satellite; Advanced Visible and Near Infrared Radiometer type 2; JAXA high resolution land-cover map; JAXA high resolution land-use map; JHR LULC map; Japan Aerospace Exploration Agency; Ministry of Internal Affairs and Communications; atmospheric correction; bare land; deciduous forest; evergreen forest; land cover classification; ortho-rectification correction; slope correction; Accuracy; Agriculture; Educational institutions; Image resolution; Land surface; MODIS; Satellites; ALOS; AVNIR-2; NDVI; PALSAR; PRISM; land cover classification; vegetation phenology;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International
Conference_Location
Melbourne, VIC
ISSN
2153-6996
Print_ISBN
978-1-4799-1114-1
Type
conf
DOI
10.1109/IGARSS.2013.6723299
Filename
6723299
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