Multiscale remote-sensing retrieval in the evapotranspiration of Haloxylon ammodendron in the Gurbantunggut desert, China
文献类型：期刊论文
| 作者 | Cao, Xiaoming1; Wang, Juanle1; Chen, Xi2; Gao, Zhiqiang3 ; Yang, Fei1; Shi, Jiankang4
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| 刊名 | ENVIRONMENTAL EARTH SCIENCES
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| 出版日期 | 2013-07-01 |
| 卷号 | 69期号:5页码:1549-1558 |
| 关键词 | Evapotranspiration Scale Remote Sensing Haloxylon Ammodendron The Arid Areas |
| ISSN号 | 1866-6280 |
| 产权排序 | [Cao, Xiaoming; Wang, Juanle; Yang, Fei] Chinese Acad Sci, State Key Lab Resources & Environm Informat Syst, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China; [Chen, Xi] Chinese Acad Sci, Xinjiang Inst Ecol & Geog, Urumqi 830011, Peoples R China; [Gao, Zhiqiang] Chinese Acad Sci, Yantai Inst Coastal Zone Res, Yantai 264003, Peoples R China; [Shi, Jiankang] Hainan Res Acad Environm Sci, Haikou, Peoples R China |
| 通讯作者 | Wang, JL (reprint author), Chinese Acad Sci, State Key Lab Resources & Environm Informat Syst, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China. caoxm1027@gmail.com ; wangjl@igsnrr.ac.cn ; chenxi@ms.xjb.ac.cn ; gaozq@igsnrr.ac.cn ; yangfei@lreis.ac.cn ; stanking16888@163.com |
| 文献子类 | Article |
| 英文摘要 | Transpiration, an essential component of surface evapotranspiration, is particularly important in the research of surface evapotranspiration in arid areas. The paper explores the spectral information of the arid vegetal evapotranspiration from a semi-empirical perspective by the measured data and the up-scaling method. The paper inverted the transpiration of Haloxylon ammodendron at the canopy, pixel and regional scales in the southern edge of the Gurbantunggut desert in Xinjiang, China. The results are as follows: at the canopy scale, the optimal exponential model of the sap flow rate based on the hyperspectrum is y = 0.0015e(3.8922x) , R (2) = 0.806. At the pixel scale, there was a good linear relationship between the sap flow and the SR index, with a relationship of y = -1197.38x (3) + 1048.43x (2) - 305.47x + 455.15, R (2) = 0.845. At the regional scale, based on the optimal exponential model and the EO-1 Hyperion remote-sensing data, the transpiration of the study area was inverted. Comparing the results of the SEBAL and SEBS models, the errors of the simulation results were 7.78 and 8.80 %. The paper made full use of the knowledge flow at different scales, bridging the scale difference in canopy and remote-sensing images to avoid the information bottleneck in the up-scaling. However, there are many constraints in the data acquirement, the efficiency of the models, the endmembers determination, the temporal-spatial up-scaling, and the accuracy assessment, which would be improved in future studies.; Transpiration, an essential component of surface evapotranspiration, is particularly important in the research of surface evapotranspiration in arid areas. The paper explores the spectral information of the arid vegetal evapotranspiration from a semi-empirical perspective by the measured data and the up-scaling method. The paper inverted the transpiration of Haloxylon ammodendron at the canopy, pixel and regional scales in the southern edge of the Gurbantunggut desert in Xinjiang, China. The results are as follows: at the canopy scale, the optimal exponential model of the sap flow rate based on the hyperspectrum is y = 0.0015e(3.8922x) , R (2) = 0.806. At the pixel scale, there was a good linear relationship between the sap flow and the SR index, with a relationship of y = -1197.38x (3) + 1048.43x (2) - 305.47x + 455.15, R (2) = 0.845. At the regional scale, based on the optimal exponential model and the EO-1 Hyperion remote-sensing data, the transpiration of the study area was inverted. Comparing the results of the SEBAL and SEBS models, the errors of the simulation results were 7.78 and 8.80 %. The paper made full use of the knowledge flow at different scales, bridging the scale difference in canopy and remote-sensing images to avoid the information bottleneck in the up-scaling. However, there are many constraints in the data acquirement, the efficiency of the models, the endmembers determination, the temporal-spatial up-scaling, and the accuracy assessment, which would be improved in future studies. |
| 学科主题 | Environmental Sciences ; Geosciences, Multidisciplinary ; Water Resources |
| URL标识 | 查看原文 |
| WOS关键词 | ENERGY BALANCE ALGORITHM ; EVAPO-TRANSPIRATION ; CANOPY REFLECTANCE ; EDDY COVARIANCE ; PENMAN-MONTEITH ; HEAT FLUXES ; WATER-USE ; VEGETATION ; FOREST ; MODEL |
| WOS研究方向 | Environmental Sciences & Ecology ; Geology ; Water Resources |
| 语种 | 英语 |
| WOS记录号 | WOS:000320327900006 |
| 资助机构 | Public Welfare Special Program, Ministry of Environmental Protection of the People's Republic of China [201109075]; Research Project of Public Service Sectors from the Ministry of Environment Protection in China [201209030-3]; land use spatial and temporal changes and its environmental effects in China; Ministry of Science [2011FY110400]; National Natural Science Foundation of China [41171334, 41071278] |
| 公开日期 | 2013-08-15 |
| 源URL | [http://ir.yic.ac.cn/handle/133337/6515]  |
| 专题 | 烟台海岸带研究所_海岸带信息集成与综合管理实验室 |
| 作者单位 | 1.Chinese Acad Sci, State Key Lab Resources & Environm Informat Syst, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China 2.Chinese Acad Sci, Xinjiang Inst Ecol & Geog, Urumqi 830011, Peoples R China 3.Chinese Acad Sci, Yantai Inst Coastal Zone Res, Yantai 264003, Peoples R China 4.Hainan Res Acad Environm Sci, Haikou, Peoples R China |
| 推荐引用方式 GB/T 7714 | Cao, Xiaoming,Wang, Juanle,Chen, Xi,et al. Multiscale remote-sensing retrieval in the evapotranspiration of Haloxylon ammodendron in the Gurbantunggut desert, China[J]. ENVIRONMENTAL EARTH SCIENCES,2013,69(5):1549-1558. |
| APA | Cao, Xiaoming,Wang, Juanle,Chen, Xi,Gao, Zhiqiang,Yang, Fei,&Shi, Jiankang.(2013).Multiscale remote-sensing retrieval in the evapotranspiration of Haloxylon ammodendron in the Gurbantunggut desert, China.ENVIRONMENTAL EARTH SCIENCES,69(5),1549-1558. |
| MLA | Cao, Xiaoming,et al."Multiscale remote-sensing retrieval in the evapotranspiration of Haloxylon ammodendron in the Gurbantunggut desert, China".ENVIRONMENTAL EARTH SCIENCES 69.5(2013):1549-1558. |
入库方式： OAI收割
来源：烟台海岸带研究所
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