Analysis of Effect of Vegetation Change on Surface Temperature in Umbulharjo Village Area, Sleman Regency Using Geographic Information System

Saiful Hadi; Bambang Waluyo Hadi Eko Prasetyo

doi:10.1051/e3sconf/20187303011

All issues

Volume 73 (2018)

E3S Web Conf., 73 (2018) 03011

References

Open Access

Issue		E3S Web Conf. Volume 73, 2018 The 3^rd International Conference on Energy, Environmental and Information System (ICENIS 2018)


Article Number		03011
Number of page(s)		3
Section		Environmental Management and Spatial Planning
DOI		https://doi.org/10.1051/e3sconf/20187303011
Published online		21 December 2018

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[1] Sudono, A., Fina, and Budi. Beternak Sapi Perah Absorption is caused by a green leaf substance secara Intensif. Penerbit Agromedia Pustaka. Depok. 2002. [Google Scholar]

[2] Danuwidjaya, D., Pemantapan Usaha Persusuan Dengan Usaha Koperasi, Pusat Penelitian dan Pengembangan Ternak, Ciawi, Bogor, 1980. [Google Scholar]

[3] Yani, A., and Purwanto, B. P. Pengaruh Iklim Mikro terhadap Respons Fisiologis Sapi Peranakan Fries Holland dan Modifikasi Lingkungan. Media Peternakan. 2956, 35–46. 2006. [Google Scholar]

[4] Hafez, E. S. Adaptation of Domestic Animals. Philadelphia. 1968. [Google Scholar]

[5] Ratnawati et all, D. n.d.. Kinerja Produktivitas Sapi Perah Impor dan Hasil Turunannya di Jawa Timur : Studi Kasus di Dataran Rendah dan Dataran Tinggi Pasuruan. Semiloka Nasional Prospek Industri Sapi Perah Menuju Perdagangan Bebas. 2020. [Google Scholar]

[6] McNeilly., Reproduction, fertility, and development. CSIRO Publishing, 583–590, 2001. [PubMed] [Google Scholar]

[7] Philips C., Cattle Behaviour and Welfare. Blackwell Publishing. Malden, USA, 2002. [CrossRef] [Google Scholar]

[8] Sudono., Beternak Sapi Perah Secara Intensif, AgroMedia Pustaka, Bogor, 2003. [Google Scholar]

[9] St-Pierre NR, Cobanov B, S. G., Economic losses from heat stress by US livestock industries. J Dairy Sci, 86:E52-E77, 2003. [Google Scholar]

[10] Bouraoui, R. Lahmar, M. Majdoub, J. Djemali, M. Belyea, R., The relationship of temperature-humidity index with milk production of dairy cows in a Mediterranean climate. Anim. Res 51. 479–491, 2002. [CrossRef] [Google Scholar]

[11] Indriyanto., Ekologi Hutan Cetakan I., Bumi Aksara, Jakarta, 2006. [Google Scholar]

[12] Aronoff, S.. , Geographic Information System : A Management Perspective. Otawa. Canada, 1993. [Google Scholar]

[13] Purwadhi, & Hardiyanti, S., Interpretasi Citra Digital, PT. Grasindo, Jakarta, 2001. [Google Scholar]

[14] ESRI., Understanding GIS : The ArcInfo Method, Environtment System Research InstituteInc. Redlands. USA, 1990. [Google Scholar]

[15] As-syakur, A. R. And I. W. S. Adnyana., Analisis Alos/Avnir-2 dan Sistem Informasi Geografi SIG) untuk Evaluasi Tata Ruang Denpasar . Jurnal Bumi Lestari 9:1-11, 2009. [Google Scholar]

[16] Dousset, B. Gourmelon, F. Mauri, E..Application of satellite Remote Sensing for Urban Risk Analysis: a case study of the 2003 extreme heat wave in Paris. Urban Remote Sensing Joint Event, 2007. [Google Scholar]

[17] Weng, Q. Lu, D. Schubring, J., Estimation of land surface temperature–vegetation abundance relationship for urban heat island studies. Remote Sensing of Environment 89. 467–483, 2004. [Google Scholar]

[18] M. Prakash, R. Rankin, V. T. Tikhoncuk.. Precipitation and nonlinear effects in geomagneticfield line resonances. Journal of Geophysical Research : Space Physic/ Volume 108, 2003. [Google Scholar]