Inconsistency among Landsat Sensors in Land Surface Mapping: A Comprehensive Investigation Based on Simulation
文献类型：期刊论文
| 作者 | Chen, Feng; Wang, Chenxing; Zhang, Yuansheng; Yi, Zhenshi; Fan, Qiancong; Liu, Lin; Song, Yuejun |
| 刊名 | REMOTE SENSING
 |
| 出版日期 | 2021-04 |
| 卷号 | 13期号:7页码:- |
| 关键词 | Landsat NDVI classification time series random forest OLI change detection JM distance |
| 英文摘要 | Comprehensive investigations on the between-sensor comparability among Landsat sensors have been relatively limited compared with the increasing use of multi-temporal Landsat records in time series analyses. More seriously, the sensor-related difference has not always been considered in applications. Accordingly, comparisons were conducted among all Landsat sensors available currently, including Multispectral Scanner (MSS), Thematic Mappers (TM), Enhanced Thematic Mappers (ETM+), and Operational Land Imager (OLI)) in land cover mapping, based on a collection of synthesized, multispectral data. Compared to TM, OLI showed obvious between-sensor differences in channel reflectance, especially over the near infrared (NIR) and shortwave infrared (SWIR) channels, and presented positive bias in vegetation spectral indices. OLI did not always outperform TM and ETM+ in classification, which related to the methods used. Furthermore, the channels over SWIR of TM and its successors contributed largely to enhancement of inter-class separability and to improvement of classification. Currently, the inclusion of MSS data is confronted with significant challenges regarding the consistency of surface mapping. Considering the inconsistency among the Landsat sensors, it is applicable to generate a consistent time series of spectral indices through proper transformation models. Meanwhile, it suggests the generation of specific class(es) based on interest instead of including all classes simultaneously. |
| WOS研究方向 | Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology |
| 源URL | [http://ir.rcees.ac.cn/handle/311016/45488]  |
| 专题 | 生态环境研究中心_城市与区域生态国家重点实验室 |
| 作者单位 | 1.Xiamen Univ Technol, Coll Comp & Informat Engn, Xiamen 361024, Peoples R China 2.Xiamen Univ Technol, Big Data Inst Digital Nat Disaster Monitoring Fuj, Xiamen 361024, Peoples R China 3.Xiamen Univ, Fujian Key Lab Sensing & Comp Smart Cities, Xiamen 361005, Peoples R China 4.Chinese Acad Sci, Res Ctr Ecoenvironm Sci, State Key Lab Urban & Reg Ecol, Beijing 100085, Peoples R China 5.Huazhong Univ Sci & Technol, Sch Phys, Wuhan 430074, Peoples R China 6.Jiangxi Inst Soil & Water Conservat, Jiangxi Key Lab Soil Eros & Prevent, Nanchang 33002 |
| 推荐引用方式 GB/T 7714 | Chen, Feng,Wang, Chenxing,Zhang, Yuansheng,et al. Inconsistency among Landsat Sensors in Land Surface Mapping: A Comprehensive Investigation Based on Simulation[J]. REMOTE SENSING,2021,13(7):-. |
| APA | Chen, Feng.,Wang, Chenxing.,Zhang, Yuansheng.,Yi, Zhenshi.,Fan, Qiancong.,...&Song, Yuejun.(2021).Inconsistency among Landsat Sensors in Land Surface Mapping: A Comprehensive Investigation Based on Simulation.REMOTE SENSING,13(7),-. |
| MLA | Chen, Feng,et al."Inconsistency among Landsat Sensors in Land Surface Mapping: A Comprehensive Investigation Based on Simulation".REMOTE SENSING 13.7(2021):-. |
入库方式： OAI收割
来源：生态环境研究中心
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