Repository Universitas Pakuan

Detail Karya Ilmiah Dosen

Asep Denih, Masahiro Tasumi, Abdullah Jami, Shinichi Takeshita

Judul : ET Estimation of Agricultural Lands in Pietermaritzburg, South Africa using Satellite Images

Abstrak :
Evapotranspiration (ET) is one of the most important parameters in agricultural water management. The aim of this research is to estimate actual evapotranspiration using satellite imagery, by ET Index approach in Pietermaritzburg, South Africa, to monitor the agricultural water management in the area. Another aspect of this study is to test the performance and the applicability of the ET Index approach, as this is the first application of the approach closely to a southern hemisphere. NDVI and ET related information were derived using the combination of local weather data and the seven clear-sky Landsat 8 imagery for year 2015. The data availability of Landsat 8 implied some limitations of time-series monitoring of agricultural practice of this area in 2015, especially in summer season, due to the cloud availability. This problem might be avoided by more careful selection of study area. The derived preliminary ET estimation results reported in this paper seemed rational, and will be more carefully evaluated in future considering weather conditions and the land uses.

Tahun : 2016 Media Publikasi : Prosiding

Kategori : Prosiding No/Vol/Tahun : 25 / II / 2016

ISSN/ISBN : -

PTN/S : University of Miyazaki Program Studi : ILMU KOMPUTER

Bibliography :
Allen, R. G., Pereira, L. S., Raes, D., and Smith, M., 1998: “Crop Evapotranspiration - Guidelines for computing crop water requirements”, FAO Irrigation and Drainage Paper 56. FAO, Rome, Italy.

Tasumi, M., and Kimura, R., 2013: Estimation of volumetric soil water content over the Liudaogou river basin of the Loess Plateau using the SWEST method with spatial and temporal variability. Agricultural Water Management 118:22– 28.

Tasumi, M., Kimura, R., Allen, R.G., Moriyama, M., and Trezza, R., 2016a: Development of the GCOM-C global ETindex estimation algorithm. Journal of Agricultural Meteorology 72:85-94.

Tasumi, M., Moriyama, M., Hirakawa, K., and Fijii, A., 2016b: Evaluation of the GCOM-C global ETindex estimation algorithm. Journal of Agricultural Meteorology 72:151-158.

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Detail Karya Ilmiah Dosen

Asep Denih, Masahiro Tasumi, Abdullah Jami, Shinichi Takeshita

Judul	:	ET Estimation of Agricultural Lands in Pietermaritzburg, South Africa using Satellite Images
Abstrak	:	Evapotranspiration (ET) is one of the most important parameters in agricultural water management. The aim of this research is to estimate actual evapotranspiration using satellite imagery, by ET Index approach in Pietermaritzburg, South Africa, to monitor the agricultural water management in the area. Another aspect of this study is to test the performance and the applicability of the ET Index approach, as this is the first application of the approach closely to a southern hemisphere. NDVI and ET related information were derived using the combination of local weather data and the seven clear-sky Landsat 8 imagery for year 2015. The data availability of Landsat 8 implied some limitations of time-series monitoring of agricultural practice of this area in 2015, especially in summer season, due to the cloud availability. This problem might be avoided by more careful selection of study area. The derived preliminary ET estimation results reported in this paper seemed rational, and will be more carefully evaluated in future considering weather conditions and the land uses.
Tahun	:	2016	Media Publikasi	:	Prosiding
Kategori	:	Prosiding	No/Vol/Tahun	:	25 / II / 2016
ISSN/ISBN	:	-
PTN/S	:	University of Miyazaki	Program Studi	:	ILMU KOMPUTER
Bibliography	:	Allen, R. G., Pereira, L. S., Raes, D., and Smith, M., 1998: “Crop Evapotranspiration - Guidelines for computing crop water requirements”, FAO Irrigation and Drainage Paper 56. FAO, Rome, Italy. Tasumi, M., and Kimura, R., 2013: Estimation of volumetric soil water content over the Liudaogou river basin of the Loess Plateau using the SWEST method with spatial and temporal variability. Agricultural Water Management 118:22– 28. Tasumi, M., Kimura, R., Allen, R.G., Moriyama, M., and Trezza, R., 2016a: Development of the GCOM-C global ETindex estimation algorithm. Journal of Agricultural Meteorology 72:85-94. Tasumi, M., Moriyama, M., Hirakawa, K., and Fijii, A., 2016b: Evaluation of the GCOM-C global ETindex estimation algorithm. Journal of Agricultural Meteorology 72:151-158.
URL	: