C-CAP Maui, Hawaii 2005-2010 Land Cover Change Analysis

공공데이터포털

This data set contains the 2005 and 2010 classifications of Maui and can be used to analyze change. This data set utilized utilized 63 full or partial WorldView2 multispectral scenes and the 2005 high-resolution Maui C-CAP data set, which were analyzed according to the Coastal Change Analysis Program (C-CAP) protocol to determine land cover.

C-CAP Kauai, Hawaii 2005-2010 Land Cover Change Analysis

공공데이터포털

This data set contains the 2005 and 2010 classifications of Kauai and can be used to analyze change. This data set utilized utilized 35 full or partial WorldView2 multispectral scenes and the 2005 high-resolution Kauai C-CAP data set, which were analyzed according to the Coastal Change Analysis Program (C-CAP) protocol to determine land cover.

C-CAP Lanai, Hawaii 2005-2011 Land Cover Change Analysis

공공데이터포털

This data set contains the 2005 and 2011 classifications of Lanai and can be used to analyze change. This data set utilized utilized 14 full or partial WorldView2 multispectral scenes and the 2005 high-resolution Lanai C-CAP data set, which were analyzed according to the Coastal Change Analysis Program (C-CAP) protocol to determine land cover.

C-CAP Niihau, Hawaii 2005-2010 Land Cover Change Analysis

공공데이터포털

This data set contains the 2005 and 2010 classifications of Niihau and can be used to analyze change. This data set utilized utilized 10 full or partial WorldView2 multispectral scenes and the 2005 high-resolution Niihau C-CAP data set, which were analyzed according to the Coastal Change Analysis Program (C-CAP) protocol to determine land cover.

C-CAP Land Cover, Molokai, Hawaii

공공데이터포털

This data set consists of land derived from high resolution imagery and was analyzed according to the Coastal Change Analysis Program (C-CAP) protocol to determine land cover. This data set utilized 20 full or partial WorldView2 multispectral scenes and the 2005 high-resolution Molokai C-CAP data set. The imagery and base classification were included in a multi-step semi-automated change detection process to extract land cover features in the 2009 imagery.

2005-2011 C-CAP Land Cover Change of Oahu, Hawaii

공공데이터포털

This data set contains the 2005 and 2011 classifications of Oahu and can be used to analyze change. This data set utilized utilized 48 full or partial WorldView2 multispectral scenes and the 2005 high-resolution Oahu C-CAP data set, which were analyzed according to the Coastal Change Analysis Program (C-CAP) protocol to determine land cover.

C-CAP Land Cover, Kauai, Hawaii 2005

공공데이터포털

This data set consists of land derived from high resolution imagery and was analyzed according to the Coastal Change Analysis Program (C-CAP) protocol to determine land cover. This data set utilized 43 full Quickbird multispectral scene which was processed to detect C-CAP land cover features on the island of Kauai.

C-CAP, Guam, 2005-2016 Land Cover Change Analysis

공공데이터포털

This data set contains the 2005 and 2016 classifications of Guam and can be used to analyze change. This data set utilized utilized several full or partial WorldView2 multispectral scenes and the 2005 high-resolution Guam C-CAP data set, which were analyzed according to the Coastal Change Analysis Program (C-CAP) protocol to determine land cover.

C-CAP, Guam, 2011-2016 Land Cover Change Analysis

공공데이터포털

This data set contains the 2011 and 2016 classifications of Guam and can be used to analyze change. This data set utilized utilized several full or partial WorldView2 multispectral scenes and the 2011 high-resolution Guam C-CAP data set, which were analyzed according to the Coastal Change Analysis Program (C-CAP) protocol to determine land cover.

C-CAP Land Cover, Maui, Hawaii

공공데이터포털

This data set consists of land derived from high resolution imagery and was analyzed according to the Coastal Change Analysis Program (C-CAP) protocol to determine land cover. This data set utilized 20 full or partial WorldView2 multispectral scenes and the 2005 high-resolution Maui C-CAP data set. The imagery and base classification were included in a multi-step semi-automated change detection process to extract land cover features in the 2010 imagery.