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DOI | 10.1080/01431161.2019.1579385 |
An evaluation of energy balance parameters, and the relations between topographical and biophysical characteristics using the mountainous surface energy balance algorithm for land (SEBAL) | |
Firozjaei, Mohammad Karimi1; Kiavarz, Majid1; Nematollahi, Omid2,4; Reihan, Majid Karimpour3; Alavipanah, Seyed Kazem1 | |
发表日期 | 2019 |
ISSN | 0143-1161 |
EISSN | 1366-5901 |
卷号 | 40期号:13页码:5230-5260 |
英文摘要 | Energy balance parameters are very important in various applications such as energy global cycle, environment, climatic change monitoring, weather forecast, agriculture. The present study evaluates the influence of topographical conditions on the amount of downward shortwave radiation (SWD) of the surface, as well as the relation between surface Net radiation with biophysical characteristics and region's land use's. For this purpose, Landsat images, Digital Elevation Model (DEM), and a set of sample points have been used. To calculate the downward shortwave radiation and Net radiation fluxes, it has employed the mountainous SEBAL algorithm. Greenness, Brightness, Wetness, Normalization Difference Built-up Index (NDBI), Normalization Difference Vegetation Index (NDVI) and Albedo parameters considered as surface biophysical characteristics. Brightness, NDBI and Albedo information shows the percentage of impervious x200f; surfaces while Greenness and NDVI information is related to vegetation percentage and Wetness information concerns water-related rates as well as the wetness of the soil, plant, and built-up lands. Statistical analysis has been used to study the relationship between different parameters. Results show that the slope is the most influential topographical parameters on the amount of SWD of the surface. There is a reverse relation between the variants of SWD of the surface, and the slope of the surface, in second-degree polynomial form with a Pearson's correlation coefficient (r) of 0.82. North aspect receive the minimum SWD average with a 681 W m(-2) while flat lands receive the maximum SWD average with a 783 W m(-2). Areas with the highest elevation, lowest slope, and flatlands, receive the highest SWD. Built-up lands have the lowest Net radiation flux average with a 595 W m(-2) while water has the highest Net radiation flux average with a 761 W m(-2). Net radiation flux is directly related with NDVI, Greenness and Wetness parameters, while it is reversely related to NDBI, Albebo and Brightness with a high r. |
WOS研究方向 | Remote Sensing ; Imaging Science & Photographic Technology |
来源期刊 | INTERNATIONAL JOURNAL OF REMOTE SENSING |
文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/100287 |
作者单位 | 1.Univ Tehran, Dept Remote Sensing & GIS, Tehran 1417853933, Iran; 2.Isfahan Univ Technol, Mech Engn Dept, Esfahan, Iran; 3.Univ Tehran, Dept Agr Sci Resources, Tehran, Iran; 4.Pusan Natl Univ, Sch Mech Engn, Busan 609735, South Korea |
推荐引用方式 GB/T 7714 | Firozjaei, Mohammad Karimi,Kiavarz, Majid,Nematollahi, Omid,et al. An evaluation of energy balance parameters, and the relations between topographical and biophysical characteristics using the mountainous surface energy balance algorithm for land (SEBAL)[J],2019,40(13):5230-5260. |
APA | Firozjaei, Mohammad Karimi,Kiavarz, Majid,Nematollahi, Omid,Reihan, Majid Karimpour,&Alavipanah, Seyed Kazem.(2019).An evaluation of energy balance parameters, and the relations between topographical and biophysical characteristics using the mountainous surface energy balance algorithm for land (SEBAL).INTERNATIONAL JOURNAL OF REMOTE SENSING,40(13),5230-5260. |
MLA | Firozjaei, Mohammad Karimi,et al."An evaluation of energy balance parameters, and the relations between topographical and biophysical characteristics using the mountainous surface energy balance algorithm for land (SEBAL)".INTERNATIONAL JOURNAL OF REMOTE SENSING 40.13(2019):5230-5260. |
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