Integration of wireless sensor network and remote sensing for monitoring and determining irrigation demand in Cyprus

被引:2
作者
Athos, Agapiou [1 ]
George, Papadavid [1 ]
Diofantos, Hadjimitsis G. [1 ]
机构
[1] Cyprus Univ Technol, Dept Civil Engn, Limassol, Cyprus
来源
REMOTE SENSING FOR AGRICULTURE, ECOSYSTEMS, AND HYDROLOGY XI | 2009年 / 7472卷
关键词
Micro-Sensor Technology; Evapotranspiration; Irrigation Management; Spectro-radiometric Measurements; LAND-SURFACE TEMPERATURE; DAILY EVAPOTRANSPIRATION; TM; ALGORITHM;
D O I
10.1117/12.830554
中图分类号
S2 [农业工程];
学科分类号
0828 ;
摘要
This paper aims to highlight the benefits from the integration of wireless sensor network / meteorological data and remote sensing for monitoring and determine irrigation demand in Cyprus. Estimating evapotranspiration in Cyprus will help, in taking measures for an effective irrigation water management in the future in the island. For this purpose both multi-spectral satellite images (Landsat 7 ETM+ and ASTER) and hydro-meteorological data from wireless sensors and automatic meteorological stations have been used. The wireless sensor network, which consist approximately twenty wireless nodes, was placed in our case study. The wireless sensor network acts as a wide area distributed data collection system deployed to collect and reliably transmit soil and air environmental data to a remote base-station hosted at Cyprus University of Technology. Furthermore auxiliary meteorological field data, from an automatic meteorological station, nearby our case study, where used such as solar radiation, air temperature, air humidity and wind speed. These data were used in conjunction with remote sensing results. Satellite images where used in ERDAS Imagine Software after the necessary processing: geometric rectification, radiometric calibration and atmospheric corrections. The satellite images were atmospheric corrected and calibrated using spectro-radiometers and sun-photometers measurements taken in situ, in an agricultural area, south-west of the island of Cyprus. Evapotranspiration is difficult to determine since it combines various meteorological and field parameters while in literature quite many different models for estimating ET are indicated. For estimating evapotranspiration from satellite images and the hydro-meteorological data different methods have been evaluated such as FAO Penman-Monteith, Carlson-Buffum and Granger methods. These results have been compared with E-pan methods. Finally a water management irrigation schedule has been applied. The final results are presented and compared with some conclusion remarks.
引用
收藏
页数:8
相关论文
共 18 条
[1]  
Ahmad M. D., 2008, J AGR WATER MANAGEME, V96, P551
[2]  
[Anonymous], 1998, 56 FAO
[3]  
Bastiaanssen W. G. M., 1999, Irrigation and Drainage Systems, V13, P291, DOI 10.1023/A:1006355315251
[4]   ON ESTIMATING TOTAL DAILY EVAPOTRANSPIRATION FROM REMOTE SURFACE-TEMPERATURE MEASUREMENTS [J].
CARLSON, TN ;
BUFFUM, MJ .
REMOTE SENSING OF ENVIRONMENT, 1989, 29 (02) :197-207
[5]  
Courault D., 2005, Irrigation and Drainage Systems, V19, P223, DOI 10.1007/s10795-005-5186-0
[6]  
DUrso G, 1995, P SOC PHOTO-OPT INS, V2585, P41, DOI 10.1117/12.227167
[7]  
French AN, 2001, INT GEOSCI REMOTE SE, P718, DOI 10.1109/IGARSS.2001.976613
[8]  
Gieske A., 2005, Irrigation and Drainage Systems, V19, P285, DOI 10.1007/s10795-005-5191-3
[9]  
Hadjimitsis D.G., 2008, P 4 INT C INF COMM T
[10]   On the darkest pixel atmospheric correction algorithm: A revised procedure applied over satellite remotely sensed images intended for environmental applications [J].
Hadjimitsis, DG ;
Clayton, C ;
Retalis, A .
REMOTE SENSING FOR ENVIRONMENTAL MONITORING, GIS APPLICATIONS, AND GEOLOGY III, 2004, 5239 :464-471