| A Pixel Dichotomy Coupled Linear Kernel-Driven Model for Estimating Fractional Vegetation Cover in Arid Areas From High-Spatial-Resolution Images | |
| X. Ma; J. Ding; T. Wang; L. Lu; H. Sun; F. Zhang; X. Cheng; I. Nurmemet | |
| 2023-06-23 | |
| Source Publication | IEEE Transactions on Geoscience and Remote Sensing Impact Factor & Quartile |
| ISSN | 1558-0644 |
| Volume | 61Pages:1-15 |
| page numbers | 15 |
| Abstract | With the increased use of high-spatial-resolution (HSR) images for vegetation monitoring in arid areas, more details of the low vegetation coverage and interference from the land “background” are captured in the corresponding images. From computational time and accuracy, the multiangle method (MAM) in the pixel dichotomy model is a potential algorithm to apply in arid areas, but MAM needs the multiangle vegetation index (VI) as the driver parameters. However, most HSR images are obtained in nadir mode, and the multiangle information of reflectance is difficult to obtain, which limits the estimation of multiangle VI from HSR images. To address this issue, this study used a “graphical method” to modify the radiation influence caused by the canopy structure and land “background.” We developed an inversion method of the linear kernel-driven model (KDM) and designed a random sampling method to estimate multiangle VI from HSR images. Then, we proposed a new pixel dichotomy coupled linear KDM (PDKDM), validated using simulated, field-measured, and reference data. The results showed that the FVC in arid areas estimated by PDKDM was highly consistent with “true” data, with root-mean-square error (RMSE) < 0.062, RMSE < 1.125, and RMSE < 0.027 for comparison with simulated, field-measured, and reference data, respectively. PDKDM addressed the issue with the previous MAMs to estimate FVC from HSR images in arid areas. This study provides a useful algorithm with high computational efficiency for producing HSR FVCs in arid areas. |
| Keyword | Fractional vegetation cover (FVC) of the arid areas high-spatial-resolution (HSR) image linear kernel-driven model (KDM) modified linear pixel dichotomy model (PDM) multiangle method (MAM) |
| Publisher | IEEE |
| DOI | 10.1109/TGRS.2023.3289093 |
| Indexed By | IEEE ; SCIE |
| Language | 英语 |
| WOS Research Area | Geochemistry & Geophysics ; Engineering ; Remote Sensing ; Imaging Science & Photographic Technology |
| WOS Subject | Geochemistry & Geophysics ; Engineering, Electrical & Electronic ; Remote Sensing ; Imaging Science & Photographic Technology |
| WOS ID | WOS:001036188600021 |
| Original Document Type | Article |
| Citation statistics | |
| Document Type | 期刊论文 |
| Identifier | https://ir.lzu.edu.cn/handle/262010/532384 |
| Collection | 兰州大学 |
| Affiliation | 1.Postdoctoral Mobile Station, Xinjiang Key Laboratory of Oasis Ecology, College of Geography and Remote Sensing Sciences, Xingjiang University, Urumqi, China 2.Xinjiang Key Laboratory of Oasis Ecology, College of Geography and Remote Sensing Sciences, Xingjiang University, Urumqi, China 3.Faculty of Geo-Information Science and Earth Observation, University of Twente, Enschede, The Netherlands 4.College of Earth and Environmental Sciences, Lanzhou University, Lanzhou, China 5.Xinjiang Key Laboratory of Oasis Ecology, College of Geography and Remote Sensing Sciences, Xingjiang University, Urumqi, China 6.College of Geography and Environmental Sciences, Zhejiang Normal University, Jinhua, China 7.Office of Scientific Research and Development, Polar Science Center, School of Geospatial Engineering and Science, Sun Yat-sen University, Zhuhai, China 8.Xinjiang Key Laboratory of Oasis Ecology, College of Geography and Remote Sensing Sciences, Xingjiang University, Urumqi, China |
| Recommended Citation GB/T 7714 | X. Ma,J. Ding,T. Wang,et al. A Pixel Dichotomy Coupled Linear Kernel-Driven Model for Estimating Fractional Vegetation Cover in Arid Areas From High-Spatial-Resolution Images[J]. IEEE Transactions on Geoscience and Remote Sensing,2023,61:1-15. |
| APA | X. Ma.,J. Ding.,T. Wang.,L. Lu.,H. Sun.,...&I. Nurmemet.(2023).A Pixel Dichotomy Coupled Linear Kernel-Driven Model for Estimating Fractional Vegetation Cover in Arid Areas From High-Spatial-Resolution Images.IEEE Transactions on Geoscience and Remote Sensing,61,1-15. |
| MLA | X. Ma,et al."A Pixel Dichotomy Coupled Linear Kernel-Driven Model for Estimating Fractional Vegetation Cover in Arid Areas From High-Spatial-Resolution Images".IEEE Transactions on Geoscience and Remote Sensing 61(2023):1-15. |
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