基于改进的METRIC模型的农田潜热通量估算
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摘要
基于热红外遥感的潜热通量估算在农业干旱和水资源管理方面具有重要意义。利用Landsat卫星遥感热红外数据和单窗算法来获取地表温度,再通过改进地表粗糙度参数,提出基于地表粗糙度改进的基于高分辨率和内在校准的蒸散估算法(mapping evapotranspiration at high resolution and with internalized calibration,METRIC)估算农田潜热通量,并利用海河流域怀来和密云2个农田通量观测站的通量观测数据验证估算结果,实验结果表明:改进的METRIC模型模拟值与观测值相关系数平方(R~2)为0. 97,优于传统的METRIC模型(R~2=0. 89),改进后模型具有更高的农田潜热通量估算精度;此外,空间分布也表明改进后的模型估算值空间格局更加合理。由于数据获取的局限性,仅采用了北京2个站点数据对模型进行验证,在其他区域仍需要进一步验证。
Estimation of latent heat flux based on thermal infrared remote sensing is of great significance in agricultural drought and water resources management. This paper examined the applicability of using METRIC model to estimate latent heat flux over farmland from Landsat images. Land surface temperature(Ts) required for estimation of the flux was computed from Landsat thermal infrared data by the mono-window algorithm.Meanwhile,an improved METRIC algorithm based on surface roughness was proposed to estimate the latent heat flux of farmland by improving the surface roughness parameters. The result of the algorithm was verified by the flux observation data from two observation stations of Huailai and Miyun in the Haihe River basin. The results show that the square of correlation coefficient(R~2) between simulated and observed values is 0. 97,which is better than the conventional METRIC model(R~2= 0. 89). The improved algorithm has higher estimation accuracy of latent heat flux. In addition,the spatial distribution of latent heat flux also shows that the spatial pattern of the improved model is more reasonable. However,due to the limitation of data acquisition,only two stations in Beijing have been used to validate the algorithm,and hence further verification in other areas is needed.
Estimation of latent heat flux based on thermal infrared remote sensing is of great significance in agricultural drought and water resources management. This paper examined the applicability of using METRIC model to estimate latent heat flux over farmland from Landsat images. Land surface temperature(Ts) required for estimation of the flux was computed from Landsat thermal infrared data by the mono-window algorithm.Meanwhile,an improved METRIC algorithm based on surface roughness was proposed to estimate the latent heat flux of farmland by improving the surface roughness parameters. The result of the algorithm was verified by the flux observation data from two observation stations of Huailai and Miyun in the Haihe River basin. The results show that the square of correlation coefficient(R~2) between simulated and observed values is 0. 97,which is better than the conventional METRIC model(R~2= 0. 89). The improved algorithm has higher estimation accuracy of latent heat flux. In addition,the spatial distribution of latent heat flux also shows that the spatial pattern of the improved model is more reasonable. However,due to the limitation of data acquisition,only two stations in Beijing have been used to validate the algorithm,and hence further verification in other areas is needed.
引文
[1]姚云军,程洁,赵少华,等.基于热红外遥感的农田蒸散估算方法研究综述[J].地球科学进展,2012,27(12):1308-1318.Yao Y J,Cheng J,Zhao S H,et al. Estimation of farmland evapotranspiration:A review of methods using thermal infrared remote sensing data[J]. Advances in Earth Science,2012,27(12):1308-1318.
[2]周倜,彭志晴,辛晓洲,等.非均匀地表蒸散遥感研究综述[J].遥感学报,2016,20(2):257-277.Zhou T,Peng Z Q,Xin X Z,et al. Remote sensing research of evapotranspiration over heterogeneous surfaces:A review[J]. Journal of Remote Sensing,2016,20(2):257-277.
[3]Brown K W,Rosenberg N J. A resistance model to predict evapotranspiration and its application to a sugar beet field[J]. Agronomy Journal,1973,65(3):341-347.
[4]Seguin B,Itier B. Using midday surface temperature to estimate daily evaporation from satellite thermal IR data[J]. International Journal of Remote Sensing,1983,4(2):371-383.
[5]Shuttleworth W J,Wallace J S. Evaporation from sparse crops-an energy combination theory[J]. Quarterly Journal of the Royal Meteorological Society,1985,111(469):839-855.
[6]Shuttleworth W J. Evaporation Models in Hydrology[M]. New York:Springer,1991:93-120.
[7]Bastiaanssen W G M,Pelgrum H,Wang J,et al. A remote sensing surface energy balance algorithm for land(SEBAL).:Part 2:Validation[J]. Journal of Hydrology,1998,212-213:213-229.
[8]Bastiaanssen W G M. SEBAL-based sensible and latent heat fluxes in the irrigated Gediz Basin,Turkey[J]. Journal of Hydrology,2000,229(1/2):87-100.
[9]Allen R G,Tasumi M,Trezza R. Satellite-based energy balance for mapping evapotranspiration with internalized calibration(METRIC)-model[J]. Journal of Irrigation and Drainage Engineering,2007,133(4):380-394.
[10]Allen R,Irmak A,Trezza R,et al. Satellite-based ET estimation in agriculture using SEBAL and METRIC[J]. Hydrological Processes,2011,25(26):4011-4027.
[11]何磊,王瑶,别强,等.基于SEBS-METRIC方法的黑河流域中游地区农田蒸散[J].兰州大学学报(自然科学版),2013,49(4):504-510.He L,Wang Y,Bie Q,et al. Estimation of field evapotranspiration in the middle reaches of Heihe River basin based on SEBS-METRIC method[J]. Journal of Lanzhou University(Natural Sciences),2013,49(4):504-510.
[12]连晋姣,黄明斌,李杏鲜,等.夏季黑河中游绿洲样带蒸散量遥感估算[J].农业工程学报,2014,30(15):120-129.Lian J J,Huang M B,Li X X,et al. Evapotranspiration estimation for oasis transect in middle reach of Heihe river basin based on remote sensing[J]. Transactions of the Chinese Society of Agricultural Engineering,2014,30(15):120-129.
[13]曹永强,张亭亭,徐丹,等.海河流域蒸散发时空演变规律分析[J].资源科学,2014,36(7):1489-1500.Cao Y Q,Zhang T T,Xu D,et al. Analysis of evapotranspiration of temporal-space evolution in the Haihe basin[J]. Resources Science,2014,36(7):1489-1500.
[14]刘小莽,郑红星,刘昌明,等.海河流域潜在蒸散发的气候敏感性分析[J].资源科学,2009,31(9):1470-1476.Liu X M,Zheng H X,Liu C M,et al. Sensitivity of the potential evapotranspiration to key climatic variables in the Haihe River basin[J]. Resources Science,2009,31(9):1470-1476.
[15]覃志豪,Zhang M H,Karnieli A,等.用陆地卫星TM6数据演算地表温度的单窗算法[J].地理学报,2001,56(4):456-466.Qin Z H,Zhang M H,Karnieli A,et al. Mono-window algorithm for retrieving land surface temperature from Landsat TM6 data[J].Acta Geographica Sinica,2001,56(4):456-466.
[16]覃志豪,Li W J,Zhang M H,等.单窗算法的大气参数估计方法[J].国土资源遥感,2003(2):37-43. doi:10. 6046/gtzyyg.2003. 02. 10.Qin Z H,Li W J,Zhang M H,et al. Estimating of the essential atmospheric parameters of mono-window algorithm for land surface temperature retrieval from landsat TM6[J]. Remote Sensing For Land and Resources,2003(2):37-43. doi:10. 6046/gtzyyg.2003. 02. 10.
[17]Moran M S,Jackson R D. Assessing the spatial distribution of evapotranspiration using remotely sensed inputs[J]. Journal of Environmental Quality,1991,20(4):725-737.
[2]周倜,彭志晴,辛晓洲,等.非均匀地表蒸散遥感研究综述[J].遥感学报,2016,20(2):257-277.Zhou T,Peng Z Q,Xin X Z,et al. Remote sensing research of evapotranspiration over heterogeneous surfaces:A review[J]. Journal of Remote Sensing,2016,20(2):257-277.
[3]Brown K W,Rosenberg N J. A resistance model to predict evapotranspiration and its application to a sugar beet field[J]. Agronomy Journal,1973,65(3):341-347.
[4]Seguin B,Itier B. Using midday surface temperature to estimate daily evaporation from satellite thermal IR data[J]. International Journal of Remote Sensing,1983,4(2):371-383.
[5]Shuttleworth W J,Wallace J S. Evaporation from sparse crops-an energy combination theory[J]. Quarterly Journal of the Royal Meteorological Society,1985,111(469):839-855.
[6]Shuttleworth W J. Evaporation Models in Hydrology[M]. New York:Springer,1991:93-120.
[7]Bastiaanssen W G M,Pelgrum H,Wang J,et al. A remote sensing surface energy balance algorithm for land(SEBAL).:Part 2:Validation[J]. Journal of Hydrology,1998,212-213:213-229.
[8]Bastiaanssen W G M. SEBAL-based sensible and latent heat fluxes in the irrigated Gediz Basin,Turkey[J]. Journal of Hydrology,2000,229(1/2):87-100.
[9]Allen R G,Tasumi M,Trezza R. Satellite-based energy balance for mapping evapotranspiration with internalized calibration(METRIC)-model[J]. Journal of Irrigation and Drainage Engineering,2007,133(4):380-394.
[10]Allen R,Irmak A,Trezza R,et al. Satellite-based ET estimation in agriculture using SEBAL and METRIC[J]. Hydrological Processes,2011,25(26):4011-4027.
[11]何磊,王瑶,别强,等.基于SEBS-METRIC方法的黑河流域中游地区农田蒸散[J].兰州大学学报(自然科学版),2013,49(4):504-510.He L,Wang Y,Bie Q,et al. Estimation of field evapotranspiration in the middle reaches of Heihe River basin based on SEBS-METRIC method[J]. Journal of Lanzhou University(Natural Sciences),2013,49(4):504-510.
[12]连晋姣,黄明斌,李杏鲜,等.夏季黑河中游绿洲样带蒸散量遥感估算[J].农业工程学报,2014,30(15):120-129.Lian J J,Huang M B,Li X X,et al. Evapotranspiration estimation for oasis transect in middle reach of Heihe river basin based on remote sensing[J]. Transactions of the Chinese Society of Agricultural Engineering,2014,30(15):120-129.
[13]曹永强,张亭亭,徐丹,等.海河流域蒸散发时空演变规律分析[J].资源科学,2014,36(7):1489-1500.Cao Y Q,Zhang T T,Xu D,et al. Analysis of evapotranspiration of temporal-space evolution in the Haihe basin[J]. Resources Science,2014,36(7):1489-1500.
[14]刘小莽,郑红星,刘昌明,等.海河流域潜在蒸散发的气候敏感性分析[J].资源科学,2009,31(9):1470-1476.Liu X M,Zheng H X,Liu C M,et al. Sensitivity of the potential evapotranspiration to key climatic variables in the Haihe River basin[J]. Resources Science,2009,31(9):1470-1476.
[15]覃志豪,Zhang M H,Karnieli A,等.用陆地卫星TM6数据演算地表温度的单窗算法[J].地理学报,2001,56(4):456-466.Qin Z H,Zhang M H,Karnieli A,et al. Mono-window algorithm for retrieving land surface temperature from Landsat TM6 data[J].Acta Geographica Sinica,2001,56(4):456-466.
[16]覃志豪,Li W J,Zhang M H,等.单窗算法的大气参数估计方法[J].国土资源遥感,2003(2):37-43. doi:10. 6046/gtzyyg.2003. 02. 10.Qin Z H,Li W J,Zhang M H,et al. Estimating of the essential atmospheric parameters of mono-window algorithm for land surface temperature retrieval from landsat TM6[J]. Remote Sensing For Land and Resources,2003(2):37-43. doi:10. 6046/gtzyyg.2003. 02. 10.
[17]Moran M S,Jackson R D. Assessing the spatial distribution of evapotranspiration using remotely sensed inputs[J]. Journal of Environmental Quality,1991,20(4):725-737.
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