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Incorporating crop phenological trajectory and texture for paddy rice detection with time series MODIS, HJ-1A and ALOS PALSAR imagery
Singha, Mrinal1; Sarmah, Sangeeta2
2019
Source PublicationEUROPEAN JOURNAL OF REMOTE SENSING
Volume52Issue:1Pages:73-87
Corresponding AuthorSingha, Mrinal(mrn3306@gmail.com)
AbstractRepeated monitoring of paddy rice is essential for government agencies and policy makers to maintain the balance of supply and demand for rice. Recent studies have mostly concentrated on the mapping of paddy rice with temporal satellite imagery during growing seasons. Given the phenological variation within paddy rice fields and spectral confusion between paddies and other vegetation classes, our ability to identify paddy rice fields with temporal imagery remains limited. The objective of this study is to develop new phenology and textural-based strategies to detect paddies with HJ-1A, MODIS and PALSAR FNF imagery. Two phenology-based strategies that track the seasonal trajectory of crops and one textural-based strategy that contains image surface characteristics are presented. With the proposed strategies, temporal, spectral and textural features were investigated for paddy rice detection. The results indicate that the phenology-based strategies could reveal the phenological variation within paddy rice and significantly improved the detection accuracy. Seasonal amplitude, grey level co-occurrence matrix entropy and spectral features of the heading stage were proven to be important in identifying paddy rice. It was concluded that the combination of HJ-1A, MODIS and PALSAR FNF imagery are promising in facilitating the rapid mapping of paddy rice at a regional scale.
KeywordPaddy rice phenology texture MODIS NDVI HJ-1A PALSAR object-based image analysis
DOI10.1080/22797254.2018.1556568
WOS KeywordSURFACE REFLECTANCE ; LANDSAT ; CLASSIFICATION ; COVER ; AREAS
Indexed BySCI
Language英语
Funding ProjectChina Scholarship Council
Funding OrganizationChina Scholarship Council
WOS Research AreaRemote Sensing
WOS SubjectRemote Sensing
WOS IDWOS:000475926300005
PublisherTAYLOR & FRANCIS LTD
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Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/58238
Collection中国科学院地理科学与资源研究所
Corresponding AuthorSingha, Mrinal
Affiliation1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100100, Peoples R China
2.Univ Chinese Acad Sci, Inst Atmospher Phys, Beijing, Peoples R China
Recommended Citation
GB/T 7714
Singha, Mrinal,Sarmah, Sangeeta. Incorporating crop phenological trajectory and texture for paddy rice detection with time series MODIS, HJ-1A and ALOS PALSAR imagery[J]. EUROPEAN JOURNAL OF REMOTE SENSING,2019,52(1):73-87.
APA Singha, Mrinal,&Sarmah, Sangeeta.(2019).Incorporating crop phenological trajectory and texture for paddy rice detection with time series MODIS, HJ-1A and ALOS PALSAR imagery.EUROPEAN JOURNAL OF REMOTE SENSING,52(1),73-87.
MLA Singha, Mrinal,et al."Incorporating crop phenological trajectory and texture for paddy rice detection with time series MODIS, HJ-1A and ALOS PALSAR imagery".EUROPEAN JOURNAL OF REMOTE SENSING 52.1(2019):73-87.
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