EVALUATION OF HARGREAVES BASED ON REMOTE SENSING METHOD TO ESTIMATE POTENTIAL CROP EVAPOTRANSPIRATION

被引:0
|
作者
El-Shirbeny, Mohammed A. [1 ]
Abdellatif, Bassam [1 ]
Ali, Abd-Elraouf M. [1 ]
Saleh, Nasser H. [1 ]
机构
[1] Natl Author Remote Sensing & Space Sci NARSS, Cairo, Egypt
来源
INTERNATIONAL JOURNAL OF GEOMATE | 2016年 / 11卷 / 23期
关键词
Land Surface Temperature (LST); Reference Evapotranspiration (ETo); Normalized Deference Vegetation Index (NDVI); Crop Coefficient (K-c); Landsat8;
D O I
暂无
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
In arid and semi-arid regions, agricultural water consumption information is very important to managing and developing water resources. Potential crop evapotranspiration (ETc) is the major parameter in agricultural water resources management. Remote sensing techniques were involved in this work to evaluate Hargreaves method for estimating ET, depending on satellite data. The difference between air temperature (T-air) and Land Surface Temperature (LST) varies particularly by surface water status. Normalized Difference Vegetation Index (NDVI) was extracted from NOAA/AVHRR and landsat8 satellite data to calculate emissivity as an intermediate step for producing LST. Linear relation between Tair and LST was established and R-2 was 0.93. Reference evapotranspiration (ETo) was estimated using agro-meteorological data through FAO-Penman-Monteith (FPM) which used as standard method and Hargreaves (Har) method. To calibrate ETo-Har, the ELo-FPM was used under the same conditions. Landsat8 data acquired on 13(th) of Aug. and 08(th) of Aug. 2014 and were used to calculate Crop coefficient (K-c) based on satellite data (Kc-Sat). LST was used to predict T-air (degrees C) in Aug. 2014. ET, estimated using Har method and was used with Kc-Sat to estimate ETc-Har. ETo-FPM combined with Kc-Sat to estimate ETc-FPM. ETc-FPM used to evaluate ETc-Har. The relation between ETc-FPM and ETc-Har was very strong where R-2 as high as 0.99.
引用
收藏
页码:2143 / 2149
页数:7
相关论文
共 50 条
  • [1] Evaluation of thermal remote sensing indices to estimate crop evapotranspiration coefficients
    Kullberg, Emily G.
    DeJonge, Kendall C.
    Chavez, Jose L.
    [J]. AGRICULTURAL WATER MANAGEMENT, 2017, 179 : 64 - 73
  • [2] Method of regional crop yield estimation based on remote sensing evapotranspiration model
    Jiang L.
    Shang S.
    Yang Y.
    Wang Y.
    [J]. Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering, 2019, 35 (14): : 90 - 97
  • [3] Vegetation index-based crop coefficients to estimate evapotranspiration by remote sensing in agricultural and natural ecosystems
    Glenn, Edward P.
    Neale, Christopher M. U.
    Hunsaker, Doug J.
    Nagler, Pamela L.
    [J]. HYDROLOGICAL PROCESSES, 2011, 25 (26) : 4050 - 4062
  • [4] Method for calculating Lhasa reference crop evapotranspiration by modifying Hargreaves
    Yang, Yong-Hong
    Zhang, Zhan-Yu
    [J]. Shuikexue Jinzhan/Advances in Water Science, 2009, 20 (05): : 614 - 618
  • [5] Evaluation of optical remote sensing to estimate actual evapotranspiration and canopy conductance
    Yebra, Marta
    Van Dijk, Albert
    Leuning, Ray
    Huete, Alfredo
    Guerschman, Juan Pablo
    [J]. REMOTE SENSING OF ENVIRONMENT, 2013, 129 : 250 - 261
  • [6] Integrating remote sensing and ground methods to estimate evapotranspiration
    Glenn, Edward P.
    Huete, Alfredo R.
    Nagler, Pamela L.
    Hirschboeck, Katherine K.
    Brown, Paul
    [J]. CRITICAL REVIEWS IN PLANT SCIENCES, 2007, 26 (03) : 139 - 168
  • [7] Definition of crop development stage to estimate evapotranspiration using FAO-56 approach and remote sensing
    Odi-Lara, Magali
    Paz-Pellat, Fernando
    Lopez-Urrea, Ramon
    Gonzalez-Piqueras, Jose
    [J]. TECNOLOGIA Y CIENCIAS DEL AGUA, 2013, 4 (03) : 87 - 102
  • [8] A remote sensing approach to estimate variable crop coefficient and evapotranspiration for improved water productivity in the Ethiopian highlands
    Daniel Wonde Mebrie
    Tewodros T. Assefa
    Abdu Y. Yimam
    Sisay A. Belay
    [J]. Applied Water Science, 2023, 13
  • [9] A remote sensing approach to estimate variable crop coefficient and evapotranspiration for improved water productivity in the Ethiopian highlands
    Mebrie, Daniel Wonde
    Assefa, Tewodros T.
    Yimam, Abdu Y.
    Belay, Sisay A.
    [J]. APPLIED WATER SCIENCE, 2023, 13 (08)
  • [10] Potential of hyperspectral remote sensing to estimate the yield of a Crambe abyssinica Hochst crop
    Viana, Octavio Henrique
    Mercante, Erivelto
    de Andrade, Mauricio Guy
    Felipetto, Henrique
    Vizzotto Cattani, Carlos Eduardo
    Bombarda, Filipe Fontes
    Vilas Boas, Marcio Antonio
    [J]. JOURNAL OF APPLIED REMOTE SENSING, 2018, 12