Mapping Rice Cropping Systems in Vietnam Using an NDVI-Based Time-Series Similarity Measurement Based on DTW Distance
Guan, XD; Huang, C; Liu, GH; Meng, XL; Liu, QS
2016
Source PublicationREMOTE SENSING
ISSN2072-4292
Volume8Issue:1Pages:-
AbstractNormalized Difference Vegetation Index (NDVI) derived from Moderate Resolution Imaging Spectroradiometer (MODIS) time-series data has been widely used in the fields of crop and rice classification. The cloudy and rainy weather characteristics of the monsoon season greatly reduce the likelihood of obtaining high-quality optical remote sensing images. In addition, the diverse crop-planting system in Vietnam also hinders the comparison of NDVI among different crop stages. To address these problems, we apply a Dynamic Time Warping (DTW) distance-based similarity measure approach and use the entire yearly NDVI time series to reduce the inaccuracy of classification using a single image. We first de-noise the NDVI time series using S-G filtering based on the TIMESAT software. Then, a standard NDVI time-series base for rice growth is established based on field survey data and Google Earth sample data. NDVI time-series data for each pixel are constructed and the DTW distance with the standard rice growth NDVI time series is calculated. Then, we apply thresholds to extract rice growth areas. A qualitative assessment using statistical data and a spatial assessment using sampled data from the rice-cropping map reveal a high mapping accuracy at the national scale between the statistical data, with the corresponding R-2 being as high as 0.809; however, the mapped rice accuracy decreased at the provincial scale due to the reduced number of rice planting areas per province. An analysis of the results indicates that the 500-m resolution MODIS data are limited in terms of mapping scattered rice parcels. The results demonstrate that the DTW-based similarity measure of the NDVI time series can be effectively used to map large-area rice cropping systems with diverse cultivation processes.
SubtypeJournal
Keywordrice MODIS NDVI time series dynamic time warping (DTW) Vietnam
Subject AreaRemote Sensing
WOS Subject ExtendedRemote Sensing
WOS KeywordMULTITEMPORAL MODIS IMAGES ; CANOPY REFLECTANCE ; TEMPORAL PATTERNS ; SOUTHEAST-ASIA ; SENSOR DATA ; LANDSAT TM ; CLASSIFICATION ; CHINA ; EXTRACTION ; DATABASES
Indexed BySCI
Language英语
WOS IDWOS:000369494500042
PublisherMDPI AG
Citation statistics
Cited Times:32[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/44315
Collection生态系统网络观测与模拟院重点实验室_生态网络实验室
Recommended Citation
GB/T 7714
Guan, XD,Huang, C,Liu, GH,et al. Mapping Rice Cropping Systems in Vietnam Using an NDVI-Based Time-Series Similarity Measurement Based on DTW Distance[J]. REMOTE SENSING,2016,8(1):-.
APA Guan, XD,Huang, C,Liu, GH,Meng, XL,&Liu, QS.(2016).Mapping Rice Cropping Systems in Vietnam Using an NDVI-Based Time-Series Similarity Measurement Based on DTW Distance.REMOTE SENSING,8(1),-.
MLA Guan, XD,et al."Mapping Rice Cropping Systems in Vietnam Using an NDVI-Based Time-Series Similarity Measurement Based on DTW Distance".REMOTE SENSING 8.1(2016):-.
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