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Spectral mixture analysis based on reference and image endmember for classification growth phase of rice
Puspitasari A.S.a, Wikantika K.a,b, Evri M.c, Yoke Faizal A.c
a Geodesi and Geomatika, ITB, Indonesia
b Scientific Group of Remote Sensing and GIS, Indonesia
c Badan Pengkajian dan Penerapan Teknologi, Indonesia
[vc_row][vc_column][vc_row_inner][vc_column_inner][vc_separator css=”.vc_custom_1624529070653{padding-top: 30px !important;padding-bottom: 30px !important;}”][/vc_column_inner][/vc_row_inner][vc_row_inner layout=”boxed”][vc_column_inner width=”3/4″ css=”.vc_custom_1624695412187{border-right-width: 1px !important;border-right-color: #dddddd !important;border-right-style: solid !important;border-radius: 1px !important;}”][vc_empty_space][megatron_heading title=”Abstract” size=”size-sm” text_align=”text-left”][vc_column_text]Rice is a staple food of Indonesia’s population every year where required information in the form of rice production yields and planting area. Monitoring and forecasting rice yields are important stages which can be supported by remote sensing technology. Remote sensing technology provides Earth’s surface data from the airborne such as hyperspectral data which can be used to classify rice growth phase. The paper uses Hymap data for classification of rice growth phase in northern part of West Java by using Spectral Mixture Analysis (SMA) approach based on reference and image endmember. The study also uses field survey data obtained from spectral reflectance measurement using spectroradiometer. The results show distribution of rice fields in nine classes both determined from Hymap image itself and from ground spectroradiometer data. Copyright© (2013) by the Asian Association on Remote Sensing.[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Author keywords” size=”size-sm” text_align=”text-left”][vc_column_text]Hymap,HyperSpectral,Hyperspectral Data,Remote sensing technology,Rice,Spectral mixture analysis,Spectral reflectance measurements,Spectro-radiometers[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Indexed keywords” size=”size-sm” text_align=”text-left”][vc_column_text]Hymap,Hyperspectral,Rice,Spectral mixture analysis (sma)[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Funding details” size=”size-sm” text_align=”text-left”][vc_column_text][/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”DOI” size=”size-sm” text_align=”text-left”][vc_column_text][/vc_column_text][/vc_column_inner][vc_column_inner width=”1/4″][vc_column_text]Widget Plumx[/vc_column_text][/vc_column_inner][/vc_row_inner][/vc_column][/vc_row][vc_row][vc_column][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][/vc_column][/vc_row]