TY - GEN
T1 - Rice crop mapping using multi-temporal MODIS imagery in the northern part of west java province, Indonesia
AU - Stevanus, Indra
AU - Chen, C. F.
AU - Son, N. T.
PY - 2013
Y1 - 2013
N2 - Rice is the staple food in Indonesia. Information on rice crop growing areas is useful for relevant agencies to devise better strategies to ensure security and stability of national food. The main objective of this study is to map rice cropping patterns using Moderate resolution imaging spectroradiometer (MODIS) data in the northern part of West Java Province, Indonesia. This study area is one of the key rice producing regions in Indonesia. It consists of nine districts, covering approximately 13,155 km2 (38% of the total area of the West Java province). There are two rice cropping systems in this region, namely single-cropped rain-fed rice and double-cropped irrigated rice. The data were processed for 2011. The methodology comprises four main steps: (1) data preprocessing to construct smoothed timeseries MODIS vegetation indices, including the normalized difference vegetation index (NDVI), land surface water index (LSWI), normalized difference built-up index (NDBI), and wavelet transform, (2) image masking to eliminate forest, water, vegetation, urban, height elevation, and steep slope areas to limit our analysis to rice-cropped areas, (3) rice crop classification using the supervised support vector machine (SVM) classifier, and (4) error analysis using the ground reference data and rice area statistics. The preliminary results indicated that there was a good agreement between the 2011 MODIS-derived rice area and the 2011 statistical data (R2=0.98). The spatial comparison between the rice areaderived from MODIS data in 2011 and that of the 2008 ground referencemapalso reaffirmed the overall accuracy of88.78%. Copyright
AB - Rice is the staple food in Indonesia. Information on rice crop growing areas is useful for relevant agencies to devise better strategies to ensure security and stability of national food. The main objective of this study is to map rice cropping patterns using Moderate resolution imaging spectroradiometer (MODIS) data in the northern part of West Java Province, Indonesia. This study area is one of the key rice producing regions in Indonesia. It consists of nine districts, covering approximately 13,155 km2 (38% of the total area of the West Java province). There are two rice cropping systems in this region, namely single-cropped rain-fed rice and double-cropped irrigated rice. The data were processed for 2011. The methodology comprises four main steps: (1) data preprocessing to construct smoothed timeseries MODIS vegetation indices, including the normalized difference vegetation index (NDVI), land surface water index (LSWI), normalized difference built-up index (NDBI), and wavelet transform, (2) image masking to eliminate forest, water, vegetation, urban, height elevation, and steep slope areas to limit our analysis to rice-cropped areas, (3) rice crop classification using the supervised support vector machine (SVM) classifier, and (4) error analysis using the ground reference data and rice area statistics. The preliminary results indicated that there was a good agreement between the 2011 MODIS-derived rice area and the 2011 statistical data (R2=0.98). The spatial comparison between the rice areaderived from MODIS data in 2011 and that of the 2008 ground referencemapalso reaffirmed the overall accuracy of88.78%. Copyright
KW - Indonesia
KW - MODIS
KW - Rice cropping systems
KW - Wavelet transform
UR - http://www.scopus.com/inward/record.url?scp=84903473781&partnerID=8YFLogxK
M3 - 會議論文篇章
AN - SCOPUS:84903473781
SN - 9781629939100
T3 - 34th Asian Conference on Remote Sensing 2013, ACRS 2013
SP - 1963
EP - 1970
BT - 34th Asian Conference on Remote Sensing 2013, ACRS 2013
PB - Asian Association on Remote Sensing
Y2 - 20 October 2013 through 24 October 2013
ER -