TY - GEN
T1 - Detecting Irrigation Effect on Surface Temperature using Modis and Land Surface Model in Whole Uzbekistan
AU - Touge, Yoshiya
AU - Mbugua, Jacqueline Muthoni
AU - Kazama, So
AU - Khujanazarov, Temur
AU - Tanaka, Kenji
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/9/26
Y1 - 2020/9/26
N2 - Irrigation is one of the key factors to describe water balance in the Aral Sea basin. However, the irrigated area here changes annually due to severe drought and land salinization. Therefore, there is a need to grasp the extent of this irrigated area albeit the limited available data. Subsequently, this research evaluated a satellite based irrigation index using surface temperature. Since water has a higher heat capacity than soil and since evapotranspiration has a cooling effect, the diurnal difference of surface temperature is generally lower in the irrigated area. However, since climatic and geological variability also affects the temperature, a land surface model was applied to provide an ideal diurnal surface temperature difference without the irrigation effect. This irrigation index was applied in the whole of Uzbekistan, which has various dryness zones in the same country. Firstly, the index was applied on a normal year and compared with a 10km resolution statistics data on the irrigated area in the country. During the irrigation season, the index was found to reduce remarkably when the irrigation fraction is large. Secondly, the monthly and annual changes in the index were compared. In the monthly analysis, it was found that the index showed a significant decrease during the irrigation season where the irrigation fraction was high. However, in an attempt to detect the drought effect on the irrigated area, the annual changes of the index were too small for the purpose.
AB - Irrigation is one of the key factors to describe water balance in the Aral Sea basin. However, the irrigated area here changes annually due to severe drought and land salinization. Therefore, there is a need to grasp the extent of this irrigated area albeit the limited available data. Subsequently, this research evaluated a satellite based irrigation index using surface temperature. Since water has a higher heat capacity than soil and since evapotranspiration has a cooling effect, the diurnal difference of surface temperature is generally lower in the irrigated area. However, since climatic and geological variability also affects the temperature, a land surface model was applied to provide an ideal diurnal surface temperature difference without the irrigation effect. This irrigation index was applied in the whole of Uzbekistan, which has various dryness zones in the same country. Firstly, the index was applied on a normal year and compared with a 10km resolution statistics data on the irrigated area in the country. During the irrigation season, the index was found to reduce remarkably when the irrigation fraction is large. Secondly, the monthly and annual changes in the index were compared. In the monthly analysis, it was found that the index showed a significant decrease during the irrigation season where the irrigation fraction was high. However, in an attempt to detect the drought effect on the irrigated area, the annual changes of the index were too small for the purpose.
KW - Aral Sea Basin
KW - Irrigation
KW - Land surface model
KW - MODIS
KW - Surface temperature
UR - http://www.scopus.com/inward/record.url?scp=85101999227&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85101999227&partnerID=8YFLogxK
U2 - 10.1109/IGARSS39084.2020.9324609
DO - 10.1109/IGARSS39084.2020.9324609
M3 - Conference contribution
AN - SCOPUS:85101999227
T3 - International Geoscience and Remote Sensing Symposium (IGARSS)
SP - 4951
EP - 4954
BT - 2020 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2020 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2020 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2020
Y2 - 26 September 2020 through 2 October 2020
ER -
