Estimation of Evapotranspiration of Rangeland Cover Using SEBAL Algorithm in Robat Mahidasht Region, Kermanshah, Iran
محورهای موضوعی : Remote Sensing (RS)
Homaion Hesadi
1
(Research Instructor, Soil Conservation and Watershed Management Research Department, Kermanshah Agricultural and Natural Resources Research and Education Center, AREEO, Kermanshah, Iran)
Abdoulkarim Behnia
2
(Shahid Chamran University of Ahwaz)
Ali Mohammd Akhoond-Ali
3
(Shahid Chamran University of Ahwaz)
Seyed Mahmoud Kashefi Pour
4
(Shahid Chamran University of Ahwaz)
Peyman Daneshkar Arasteh
5
(Imam Khomeini International University of Qazvin)
Ali Reza Karimi
6
(Master of science of water resources, Fars Province Water and Wastewater Company, Shiraz, Iran)
کلید واژه: Image classification, remote sensing, SEBAL, Merek watershed, Sentinel II,
چکیده مقاله :
Rangelands are the most important plant ecosystems in Iran that have multiple and vital roles in economic stability and food security in the country. In recent decades, with increasing population, increasing forage consumption, climate change and rainfall fluctuations, most of the country's pastures have been destroyed or faced with a degradation trend. Therefore, in order to strengthen this vital ecosystem in the country, rangeland management components have a special priority and importance. One of the main components of rangeland management is the study on the water requirement of rangeland plants. The water required by the plant is equivalent to its evapotranspiration. Estimation of evapotranspiration using meteorological station data can be done at different time intervals; But determining its spatial distribution on a large scale is not possible. Remote sensing techniques and evapotranspiration estimation algorithms based on the surface energy balance of the earth are among the methods that are able to produce maps with appropriate temporal and spatial coverage. In this study, 4 images of LANDSAT 5 processed (from June to July of 2010), and evapotranspiration of the Mahidasht region, Kermansh province, Iran were estimated. Then, Sentinel 2 images were used to identify the existing rangelands in the Robat Mahidasht region by Maximum Likelihood classification method. The evapotranspiration of the rangelands was obtained uing Surface Energy Balance Algorithm for Land (SEBAL) maps. Based on the results, it was observed that the difference of estimating the actual evapotranspiration between the SEBAL algorithm and lysimetric measurements was a maximum value of 9.7%, which is acceptable. The coefficient of determination between SEBAL and lysimetric data was (R2=0.99) and mean absolute difference was 0.53 mm/day. The estimated evapotranspiration rates of rangeland cover at the four Landsat imaging dates were 2.1, 3.46, 3.4, and 3.44 mm/day. Also, the results showed less rangeland evapotranspiration than other coverings like forest and agriculture, which is due to the dryness of the topsoil profile and shallow depth of most of the rangeland plants, especially annuals species. It was concluded that SEBAL algorithm is a suitable method for estimating the evapotranspiration of rangeland cover with acceptable accuracy.
Alemneh T. and Getabalew. M., 2019. Factors Affecting the Productivity of Rangelands. Journal of Plant Sciences and Agricultural Research. 3(1): 1-6.
Allen R., Tasumi M., Trezza R., Waters R., Bastiaanssen W.G.M.,. 2002. SEBAL (Surface Energy Balance Algorithms for Land). In Advance Training and User’s Manual, version 1, Idaho Implementation: Sagle, ID, USA. Vol. 1, p. 97.
Bahrami S., Sarami R., Khodadad M., 2019. Survey of land surface temperature changes and evapotranspiration in relation to the standardized vegetation index using GIS (Case study: Minoodasht city). Mapping and Geospatial Information Journal of Guilan. 3(4): 24-33.
Bastiaanssen W.G.M., 1995. Regionalization of Surface Flux Densities and Moisture Indicators in Composite Terrain a Remote Sensing Approach Under Clear Skies in Mediterranean Climates. SC-DLO: Wageningen, The Netherlands, p. 271.
Bastiaanssen W.G.M., 2000. SEBAL based sensible and latent heat fluxes in the irrigated Gediz Basin, Turkey. Journal of Hydrology. 229: 87- 100.
Bastiaanssen W.G.M., Ahmad M.D., Chemin, Y., 2002. Satellite surveillance of evaporative depletion across the Indus. Water Resources Research, 38(12): 1273:1–9.
Bastiaanssen, W.G.M., Menenti M., Feddes R.A., Holtslag A.A.M., 1998. The surface energy balance algorithm for land (SEBAL): Part 1 formulation. Journal of Hydrology. 212: 198–212.
Fakhimi E. and Arzani H., 2020. The Effect of Soil Moisture and Climatic Index of Evapotranspiration on Forage Production in Rangelands of Dehsir, Yazd province, Iran. Journal of Rangeland Science, 10(4): 399-411.
Falahatkar S., Saberfar R., Kia S.H., 2018. Analysis of Vegetation Indices Change in Sensors of Land Satellite; (Case Study: Persian fields of East Golestan National Park and Gharkhed Protected Area). Journal of Natural Ecosystems of Iran, 9(31): 71- 90, (In Persian)
Farhadi Bansouleh B., Karimi A., Hesadi H., 2013. Estimation of Regional Actual Evapotranspiration in Using LANDSAT TM Images amd SEBAL Algorithm. Iranian Journal of irrigation and Drainage, 6(4): 353-364.
Farhadi Bansouleh B., Karimi A., Hesadi H., 2017. Estimation of Actual Evapotranspiration in Mahidasht Using SEBS Algorithm and LANDSAT Images. Journal of Water and Soil, 30(47): 706-716, (In Persian).
Ghamar Nia H., Gholamian S.M., Kamali N., 2017. Estimation of Evapotranspiration and Vegetation Coefficients of Maize Plant Using Images of Landsat 8; (Case Study: Sarab Niloufar Plain, Kermanshah). Iran-Water Resources Research, 12(4): 93-107, (In Persian).
Guerine L., Belgourari M., Guerinik H., 2020. Cartography and Diachronic Study of the Naama Sabkha (Southwestern Algeria) Remotely Sensed Vegetation Index and Soil Properties. Journal Rangeland Science. 10(2): 172-188.
Hankerson B., Kjaersgaard J., Hay C., 2012, Estimation of Evapotranspiration from Fields with and without Cover Crops Using Remote Sensing and in situ Method. Journal of Remote Sensing, 4: 3796-3812.
Heshmati M., Gheitouri M., Parvizi Y., Ahmadi M., Sheikhvaisi M., Arabkhedri M., Hoseini M., 2017. The role of crescent- shaped and enclosed banquets in maintaining soil moisture in order to combat the drying of Zagros forests, Rainwater catchment systems. 5(14): 1-8, (In Persian).
Hosseini G.M., Rahimi M. Kartouli Nezhad D., Jafari M., 2014. A review of climate factors affecting the drying of forest trees. First National Conference on Geography, Tourism, Natural Resources and Sustainable Development, Tehran, Iran, (In Persian) https://civilica.com/doc/857142
Kazemi R., Sharifi, F., 2019. Investigation and analysis of factors affecting base flow in different climates of Iran. Journal of Watershed Engineering and Management. 10(4): 645-658, (In Persian).
Kazemi Nia A., 2017. Application of remote sensing and GIS in vegetation survey. Journal of Surveying and Spatial Information Engineering, 9(1): 75- 85, (In Persian).
Keshavarz M.R., Alizadeh A., Vazifeh Doust M., Ansar H., Davari K., 2011. Applying S- SEBI Algorithm and Remote Sensing for Estimating Evaporation Area with Plant Cover. Journal Water Resources Engineering. 11:11-22, (In Persian).
Koech O.K., Kinuthia R.N., Karuku G.N., Muriethia S.M., 2015. Water use efficiency of six rangeland grasses under varied soil moisture content levels in the arid Tana River County, Kenya. African Journal of Environmental Science and Technology. 9(7):632-640.
Malek Pour M., Baba Zade M.H., Kaveh F., Ebrahimi Pak N.A., 2017. Estimation of actual evapotranspiration and wheat, water productivity using SEBAL algorithm and Landsat 5 satellite images in Qazvin plian. Journal of water research in agriculture. 30(4): 569- 583, (In Persian).
Mir Yaghoob Zade M.H., Soleimani K., Habib Nezhad Roshan M., Shahedi K., Abbaspour K., Akhavan S., 2014. Detrmining and Evaluation Actual Evapotranspiration Usiing Remote Sensing Data; Case Study of Tamar Watershed, Golestan. Journal of Water and Irrigation Engineering. 4(15): 89-102, (In Persian).
Morse A., Allen R.G., Tasumi M., Kramber W.J., Trezza R., Wright J.L., 2000. Final Report: Application of the SEBAL Methodology for Estimating Evapotranspiration and Consumptive Use of Water Through Remote Sensing; Idaho Department of Water Resources, University of Idaho, Department of Biological and Agricultural: Moscow, ID, USA, 2000; Volume 107.
Najafi Far A., Hossein Zade J., Pour Hashemi M., 2016. Investigation of the effect of topography and ecological potential of the habitat on forest drought in Ilam province. Final Report of Research Project, Iranian Forests and Range Lands Research Institute,73 p. (In Persian).
Nouri H., Faramarzi. M., 2017. Soil Moisture Estimation in Rangelands Using Remote Sensing (Case Study: Malayer, West of Iran). Journal of Rangeland Science, 7(1): 67-78.
Nouri H., Faramarzi M., Sadeghi S.H., 2019. Impact of Regional Rangeland Cover Degradation on Increasing Dusty Days in West of Iran. Journal of Rangeland Science, 9(3): 286-299.
Pinto Dias L.C., Macedo M. N., Costa M. H., Coe M. T., Neil C., 2015, Effects of land cover change on evapotranspiration and stream flow of small catchments in the Upper Xingu River Basin,Central Brazil, Journal of Hydrology: Regional Studies, 4: 108- 122.
Sanchez A.O., Crespo P., Carrillo Rojas G., Sucozhanay A., Celleri R., 2019, Actual Evpotranspiration in the High Andean Grasslands: A Comparison of Measurement and Estimation Methods, Frontiers in Earth Science, 7(55): 1- 16.
Sepahvand A., Jafari A.A., Sefidkon Band F., Kalatejari S., 2021. Effects of Water Stress on Seedling Growth and Physiological Traits in Four Thyme Species. Journal of Rangeland Science,11(1): 7-19.
Singh, R.K., Irmak A., Irmak S., Martin D. L., 2008, Journal of Irrigation and Drainage Engineering, 134(3): 273 pages.
Tasumi M., Allen R.G. and Bastiaanssen W.G.M., 2000. The theoretical basis of SEBAL. Final report to the Raytheon Systems Company, Earth Observation System Data and Information System Project, Idaho. Department of Water Resources and University Idaho, 107 pp.
Tasumi, M., Trezza R., Allen R.G., Wright J.L., 2003. US Validation Tests on the SEBAL Model for Evapotranspiration via Satellite. In Proceedings of the 54th IEC Meeting of the International Commission on Irrigation and Drainage (ICID) Workshop Remote Sensing of ET for Large Regions, Montpellier, France, 14–17 September, France.
