Land Cover Mapping in Cloud-Prone Tropical Areas Using Sentinel-2 Data: Integrating Spectral Features with Ndvi Temporal Dynamics
文献类型：期刊论文
| 作者 | Huang, Chong3,4 ; Zhang, Chenchen1,3; He, Yun1,3; Liu, Qingsheng3; Li, He3; Su, Fenzhen3; Liu, Gaohuan3; Bridhikitti, Arika2
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| 刊名 | REMOTE SENSING
 |
| 出版日期 | 2020-04-01 |
| 卷号 | 12期号:7页码:18 |
| 关键词 | land cover mapping cloud-prone areas Sentinel-2 time series NDVI statistical indices |
| DOI | 10.3390/rs12071163 |
| 通讯作者 | Li, He(lih@lreis.ac.cn) |
| 英文摘要 | Accurate remote sensing and mapping of land cover in the tropics remain difficult tasks since data gaps and a heterogenic landscape make it challenging to perform land cover classification. In this paper, we proposed a multi-feature classification method to integrate temporal statistical features with spectral and textural features. This method is designed to improve the accuracy of land cover classification in cloud-prone tropical regions. Sentinel-2 images were used to construct an NDVI stack for a time-series statistical analysis to characterize the temporal variance of land cover. Two statistical indices were calculated and used to represent the variation in annual vegetation. These indices included the mean (NDVI_mean) and coefficient of variation (NDVI_cv) for the NDVI time series. The temporal statistical features were then integrated with spectral and textural features extracted from high-quality Sentinel-2 imagery for Random Forest classification. The performance and contribution of different combinations were assessed based on their classification accuracies. Our results show that the time-series statistical analysis is an effective way to represent land cover category information contained in annual NDVI variance. The method uses clear pixels from dense low-quality images to obtain the NDVI statistical characteristics, thus, to reduce the influence of random factors such as weather conditions on single-date image. The addition of NDVI_mean and NDVI_cv can improve the separability among most types of land cover. The overall accuracy and the kappa coefficient reached values of 0.8913 and 0.8514 when NDVI_mean and NDVI_cv were integrated. Furthermore, the time-series statistical analysis has less stringent requirements regarding image quality and features a high computational efficiency, which shows its great potential to improve the overall accuracy of land cover classification at regional scales in cloud-prone tropical regions. |
| WOS关键词 | RESOLUTION SATELLITE DATA ; TIME-SERIES ; RANDOM FOREST ; CLASSIFICATION ; ACCURACY ; CROP ; SEGMENTATION ; AGREEMENT ; IMAGERY ; SENSOR |
| 资助项目 | CAS Earth Big Data Science Project[XDA19060302] ; National Science Foundation of China[41561144012] ; National Science Foundation of China[41661144030] ; Innovation Project of LREIS[O88RA303YA] |
| WOS研究方向 | Remote Sensing |
| 语种 | 英语 |
| WOS记录号 | WOS:000537709600113 |
| 出版者 | MDPI |
| 资助机构 | CAS Earth Big Data Science Project ; National Science Foundation of China ; Innovation Project of LREIS |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/159476]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Li, He |
| 作者单位 | 1.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 2.Mahidol Univ, Sch Multidisciplinary, Environm Engn & Disaster Management Program, Kanchanaburi Campus, Sai Yok 71150, Kanchanaburi, Thailand 3.Chinese Acad Sci, State Key Lab Resources & Environm Informat Syst, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China 4.Chinese Acad Sci, CAS Engn Lab Yellow River Delta Modern Agr, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China |
| 推荐引用方式 GB/T 7714 | Huang, Chong,Zhang, Chenchen,He, Yun,et al. Land Cover Mapping in Cloud-Prone Tropical Areas Using Sentinel-2 Data: Integrating Spectral Features with Ndvi Temporal Dynamics[J]. REMOTE SENSING,2020,12(7):18. |
| APA | Huang, Chong.,Zhang, Chenchen.,He, Yun.,Liu, Qingsheng.,Li, He.,...&Bridhikitti, Arika.(2020).Land Cover Mapping in Cloud-Prone Tropical Areas Using Sentinel-2 Data: Integrating Spectral Features with Ndvi Temporal Dynamics.REMOTE SENSING,12(7),18. |
| MLA | Huang, Chong,et al."Land Cover Mapping in Cloud-Prone Tropical Areas Using Sentinel-2 Data: Integrating Spectral Features with Ndvi Temporal Dynamics".REMOTE SENSING 12.7(2020):18. |
入库方式： OAI收割
来源：地理科学与资源研究所
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