Use of Visible and Near-Infrared Reflectance Spectroscopy Models to Determine Soil Erodibility Factor (K) in an Ecologically Restored Watershed
文献类型：期刊论文
| 作者 | Jiang, Qinghu1; Chen, Yiyun3; Hu, Jialiang2; Liu, Feng1 |
| 刊名 | REMOTE SENSING
 |
| 出版日期 | 2020-09-01 |
| 卷号 | 12期号:18页码:16 |
| 关键词 | soil erodibility visible and near-infrared reflectance spectroscopy model transferability model improvement watershed landscapes |
| DOI | 10.3390/rs12183103 |
| 英文摘要 | This study aimed to assess the ability of using visible and near-infrared reflectance (Vis-NIR) spectroscopy to quantify soil erodibility factor (K) rapidly in an ecologically restored watershed. To achieve this goal, we explored the performance and transferability of the developed spectral models in multiple land-use types: woodland, shrubland, terrace, and slope farmland (the first two types are natural land and the latter two are cultivated land). Subsequently, we developed an improved approach by combining spectral data with related topographic variables (i.e., elevation, watershed location, slope height, and normalized height) to estimateK. The results indicate that the calibrated spectral model using total samples could estimateKfactor effectively (R-CV(2)= 0.71,RMSECV= 0.0030 Mg h Mj(-1)mm(-1), andRPD(CV)= 1.84). When predictingKin the new samples, models performed well in natural land soils (R-P(2)= 0.74,RPDP= 1.93) but failed in cultivated land soils (R-P(2)= 0.24,RPDP= 0.99). Furthermore, the developed models showed low transferability between the natural and cultivated land datasets. The results also indicate that the combination of spectral data with topographic variables could slightly increase the accuracies ofKestimation in total and natural land datasets but did not work for cultivated land samples. This study demonstrated that the Vis-NIR spectroscopy could be used as an effective method in predictingK. However, the predictability and transferability of the calibrated models were land-use type dependent. Our study also revealed that the coupling of spectrum and environmental variable is an effective improvement ofKestimation in natural landscape region. |
| 资助项目 | Natural Science Foundation of China[31600377] ; Chinese National Key Development Program for Basic Research[2014CB954004] |
| WOS研究方向 | Remote Sensing |
| 语种 | 英语 |
| WOS记录号 | WOS:000579916100001 |
| 出版者 | MDPI |
| 源URL | [http://202.127.146.157/handle/2RYDP1HH/15937]  |
| 专题 | 中国科学院武汉植物园 |
| 通讯作者 | Liu, Feng |
| 作者单位 | 1.Chinese Acad Sci, Wuhan Bot Garden, Key Lab Aquat Bot & Watershed Ecol, Wuhan 430074, Peoples R China 2.China Railway Fifth Survey & Design Inst Grp Co L, Beijing 102600, Peoples R China 3.Wuhan Univ, Sch Resource & Environm Sci, 129 Luoyu Rd, Wuhan 430079, Peoples R China |
| 推荐引用方式 GB/T 7714 | Jiang, Qinghu,Chen, Yiyun,Hu, Jialiang,et al. Use of Visible and Near-Infrared Reflectance Spectroscopy Models to Determine Soil Erodibility Factor (K) in an Ecologically Restored Watershed[J]. REMOTE SENSING,2020,12(18):16. |
| APA | Jiang, Qinghu,Chen, Yiyun,Hu, Jialiang,&Liu, Feng.(2020).Use of Visible and Near-Infrared Reflectance Spectroscopy Models to Determine Soil Erodibility Factor (K) in an Ecologically Restored Watershed.REMOTE SENSING,12(18),16. |
| MLA | Jiang, Qinghu,et al."Use of Visible and Near-Infrared Reflectance Spectroscopy Models to Determine Soil Erodibility Factor (K) in an Ecologically Restored Watershed".REMOTE SENSING 12.18(2020):16. |
入库方式： OAI收割
来源：武汉植物园
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