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An Open-Boundary Locally Weighted Dynamic Time Warping Method for Cropland Mapping
Guan, Xudong1,2; Liu, Gaohuan1; Huang, Chong1; Meng, Xuelian3; Liu, Qingsheng1; Wu, Chunsheng1; Ablat, Xarapat1,2; Chen, Zhuoran1,2; Wang, Qiang1,2
2018-02-01
Source PublicationISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
ISSN2220-9964
Volume7Issue:2Pages:22
Corresponding AuthorLiu, Gaohuan(liugh@lreis.ac.cn)
AbstractThis paper proposes an open-boundary locally weighted dynamic time warping (OLWDTW) method using MODIS Normalized Difference Vegetation Index (NDVI) time-series data for cropland recognition. The method solves the problem of flexible planting times for crops in Southeast Asia, which has sufficient thermal and water conditions. For NDVI time series starting at the beginning of the year and terminating at the end of the year, the method can separate the non-growing season cycle and growing season cycle for crops. The non-growing season cycle may provide some useful information for crop recognition, such as soil conditions. However, the shape of the growing season's NDVI time series for crops is the key to separating cropland from other land cover types because the shape contains all of the crop growth information. The principle of the OLWDTW method is to enhance the effects of the growing season cycle on the NDVI time series by adding a local weight to the growing season when comparing the similarity of time series based on the open-boundary dynamic time warping (DTW) method. Experiments with two satellite datasets located near the Khorat Plateau in the Lower Mekong Basin validate that OLWDTW effectively improves the precision of cropland recognition compared to a non-weighted open-boundary DTW method in terms of overall accuracy. The method's classification accuracy on cropland exceeds the non-weighted open-boundary DTW by 5-7%. In future studies, an open-boundary self-adaption locally weighted DTW and a more effective combination rule for different crop types should be explored for the method's best performance and highest extraction accuracy for cropland.
Keyworddynamic time warping (DTW) remote sensing Lower Mekong Basin MODIS time series crops cropland classification
DOI10.3390/ijgi7020075
WOS KeywordMULTITEMPORAL MODIS IMAGES ; TERM VEGETATION TRENDS ; PADDY RICE AGRICULTURE ; SERIES ANALYSIS ; MEKONG DELTA ; CLASSIFICATION ; YIELDS ; EXTENT ; AREAS ; GIMMS
Indexed BySCI
Language英语
Funding ProjectInnovation Project of LREIS[O88RA303YA] ; National Science-Technology Support Plan Projects[2013BAD05B03] ; National Natural Science Foundation of China[41561144012] ; National Natural Science Foundation of China[41501430] ; National Natural Science Foundation of China[41671422] ; National Natural Science Foundation of China[41661144030] ; National Natural Science Foundation of China[41471335]
Funding OrganizationInnovation Project of LREIS ; National Science-Technology Support Plan Projects ; National Natural Science Foundation of China
WOS Research AreaPhysical Geography ; Remote Sensing
WOS SubjectGeography, Physical ; Remote Sensing
WOS IDWOS:000427524600038
PublisherMDPI
Citation statistics
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/57219
Collection中国科学院地理科学与资源研究所
Corresponding AuthorLiu, Gaohuan
Affiliation1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China
2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
3.Louisiana State Univ, Dept Geog & Anthropol, Baton Rouge, LA 70803 USA
Recommended Citation
GB/T 7714
Guan, Xudong,Liu, Gaohuan,Huang, Chong,et al. An Open-Boundary Locally Weighted Dynamic Time Warping Method for Cropland Mapping[J]. ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION,2018,7(2):22.
APA Guan, Xudong.,Liu, Gaohuan.,Huang, Chong.,Meng, Xuelian.,Liu, Qingsheng.,...&Wang, Qiang.(2018).An Open-Boundary Locally Weighted Dynamic Time Warping Method for Cropland Mapping.ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION,7(2),22.
MLA Guan, Xudong,et al."An Open-Boundary Locally Weighted Dynamic Time Warping Method for Cropland Mapping".ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION 7.2(2018):22.
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