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DAFTAR PUSTAKA

Ayuindra, M. (2013). Analisa Perubahan Tutupan Lahan Menggunakan Citra Landsat (Studi Kasus : Sulawesi Selatan) tahun 1999 – 2013. Institut Teknologi Surabaya.

Ayuningtyas, V. A. (2015). Pengolahan Data Thermal (TIRS) Citra Satelit Landsat 8 Untuk Temperatur Suhu Permukaan (Studi Lokasi: Kabupaten Banyuwangi) (Doctoral dissertation, ITN MALANG).

Becker, F., & Li, Z. L. (1990). Towards A Local Split Window Method Over Land Surfaces. Remote Sensing, 11(3), 369-393.

Bose, A. C., Viswanadh, G. K., Giridhar, M. V. S. S., & Sridhar, P. (2012). Assessment Of Land Use Land Cover Changes In Middle Godavari (G-5) Sub Basin Of River Godavari Using Rs And Gis. Assessment. India.

Cheval, S., & Dumitrescu, A. (2009). The July urban heat island of Bucharest as derived from MODIS images. Theoretical and applied climatology, 96(1-2), 145- 153.

Danoedoro, P. (1996). Pengolahan Citra Digital. Fakultas Geografi. Universitas Gadjah Mada. Yogyakarta.

Danoedoro, P. (2012). Pengantar Pengindraan Jauh Digital. Yogyakarta : Andi.

Faridah, S. A. N., & Krisbiantoro, A. (2014). Analisis Distribusi Temperatur Permukaan Tanah Wilayah Potensi Panas Bumi Menggunakan Teknik Pengindraan Jauh Di Gunung Lamongan, Tiris-Probolinggo, Jawa Timur.

Berkala Fisika, 17(2), 67-72.

Guntara, I. (2015). Analisis Urban Heat Island Untuk Pengendalian Pemanasan Global di Kota Yogyakarta Menggunakan Citra Pengindraan Jauh. Universitas Muhammadiyah Yogyakarta. Yogyakarta.

Hernawati, R., & Darmawan, S. (2018). Analisis Kerapatan Vegetasi Berbasiskan Data Citra Satelit Landsat Menggunakan Teknik NDVI di Kota Bandung Tahun 1990 dan 2017.

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Huete, A., Anderson, L. O., Aragao, L. E., Shimabukuro, Y. E., & Almeida, S., (2011).

Fraction images for monitoring intra-annual phenology of different vegetation physiognomies in Amazonia. International Journal of Remote Sensing, 32(2), 387-408.

Jiménez-Muñoz, J. C., Cristóbal, J., Sobrino, J. A., Sòria, G., Ninyerola, M., & Pons, X. (2008). Revision of the single-channel algorithm for land surface temperature retrieval from Landsat thermal-infrared data. IEEE Transactions on geoscience and remote sensing, 47(1), 339-349.

Khandelwal, S., Goyal, R., Kaul, N., & Mathew, A. (2018). Assessment of land surface temperature variation due to change in elevation of area surrounding Jaipur, India. The Egyptian Journal of Remote Sensing and Space Science, 21(1), 87-94.

Kusumowidagdo, M. Tjaturahono B. S, Eva Banowati, & Dewi L . S. (2007).

Pengindraan Jauh dan Interpretasi. Semarang: LAPAN-UNNES.

Latif, M. S. (2014). Land Surface Temperature Retrival of Landsat-8 Data Using Split Window Algorithm- A Case Study of Ranchi District. International Journal of Engineering Development and Research (IJEDR), Volume 2, Issue 4, 3840- 3849.

Mahmudi, M., Subiyanto, S., & Yuwono, B. D. (2015). Analisis Ketelitian Dem Aster Gdem, Srtm, Dan Lidar Untuk Identifikasi Area Pertanian Tebu Berdasarkan Parameter Kelerengan (Studi Kasus: Distrik Tubang, Kabupaten Merauke, Provinsi Papua). Jurnal Geodesi Undip, 4(1), 95-106.

Mallick, J., Singh, C. K., Shashtri, S., Rahman, A., & Mukherjee, S. (2012). Land Surface Emissivity Retrieval Based On Moisture Index From LANDSAT TM Satellite Data Over Heterogeneous Surfaces Of Delhi City. International Journal of Applied Earth Observation and Geoinformation, 19, 348-358.

Nugroho, S. A., Wijaya, A. P., & Sukmono, A. (2016). Analisis pengaruh perubahan vegetasi terhadap suhu permukaan di wilayah Kabupaten Semarang menggunakan metode penginderaan jauh. Jurnal Geodesi Undip, 5(1), 253-263.

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Peng, X., Wu, W., Zheng, Y., Sun, J., Hu, T., & Wang, P. (2020). Correlation analysis of land surface temperature and topographic elements in Hangzhou, China. Scientific Reports, 10(1), 1-16.

Pham, H. T., Marshall, L., Johnson, F., & Sharma, A. (2018). A method for combining SRTM DEM and ASTER GDEM2 to improve topography estimation in regions without reference data. Remote sensing of environment, 210, 229-241.

Pu, R., Gong, P., Michishita, R., & Sasagawa, T. (2006). Assessment of multi- resolution and multi-sensor data for urban surface temperature retrieval.

Remote Sensing of Environment, 104(2), 211-225.

Purwantara, S. (2011). Studi Temperatur Udara Terkini di Wilayah Jawa Tengah dan DIY. Informasi Kajian Masalah Pendidikan dan Ilmu Sosial. 37(2): 166-179.

Sitorus, R. 1998. Evaluasi Sumber Daya Lahan. Penerbit Tarsito, Bandung.

Purwanto, A. D., Asriningrum, W., Winarso, G., & Parwati, E. (2014). Analisis Sebaran Dan Kerapatan Mangrove Menggunakan Citra Landsat 8 Di Segara Anakan, Cilacap. In Proceeding of Seminar Nasional Pengindraan Jauh. Bogor.

Rajeshwari, A., & Mani, N. D. (2014). Estimation of Land Surface Temperature of Dindigul District Using Landsat 8 Data. International Journal of Research in Engineering and Technology (IJRET), Vol. 3, Issue 5, 122126.

Ryan L. (1997). Creating A Normalized Difference Vegetation Index (NDVI) Image Using Multispec. University of New Hampshire. UK.

Sari, D. K., Hermawan, E. T., dan Hudman, G. (2005). Study On Vegetation Cover Change In The Province of South Kalimantan Using RGB-NDVI Unsupervised Classification Method. Map Asia Conference. Jakarta

Saripin, I. (2013). Identifikasi Penggunaan Lahan dengan Menggunakan Citra Landsat Thematic Mapper. Bogor: Buletin Teknik Pertanian Institut Pertanian Bogor, 8(2).

Sugiyono, D. R. (2014). Metode penelitian administrasi. Bandung: Alfabeta.

Susanti, I., Rizki, N. A. I., & Maryadi, E. (2019). Pemantauan Suhu Permukaan Tanah

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Tempfli, K. (1991). DTM and Differential Modelling. In Proceedings ISPRS and OEEPE joint workshop on updating digital data by photogrammetric methods, September 15-17 1991, Oxford, England/ed. by PRT Newby.-(OEEPE publication; 27), pp. 193-200 (pp. 193-200).

Tucker, R.L., Scarlet, B.R., (1986). Evaluation of Design Effectiveness. Texas University, a report to the Construction Industry Institute, USA.

USGS, (2013). Using the USG Landsat 8 Product. [Online] Available at http://landsat.usgs.gov. Using_Product_Php.

Van de Griend, A. A., Owe, M., Groen, M., & Stoll, M. P. (1991). Measurement And Spatial Variation Of Thermal Infrared Surface Emissivity In A Savanna Environment. Water Resources Research, 27(3), 371- 379.

Wang, F., Qin, Z., Song, C., Tu, L., Karnieli, A., Zhao, S. (2014): An Improved Mono- window Algorithm for Land Surface Temperature Retrieval from Landsat 8 Thermal Infrared Sensor Data. MDPI. Remote Sensing. 7, 4268-4289.

Yusifa, N., Yanto, A., Sairiyyah, S., & Isa, M. (2019). Investigation on Aneuk Laot Lake Water Depreciation Based on Distribution of Minor Fault with a Remote Sensing Method. Journal of Aceh Physics Society, 8(2), 47-54.

Zhang, R., Sun, R., Li, X., Liang, S., & Sun, L. (2012). Monitoring Surface Soil Moisture Status Based On Remotely Sensed Surface Temperature And Vegetation Index Information. Agricultural and Forest Meteorology, 166, 175- 187.

Internet:

Remote Sensing Sytems. (2014). Brightness Temperature.

http://www.remss.com/measurements/brightness-temperature/.Diakses 27 Mei 2020.

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USGS. (2016b). Using the USGS Landsat 8 Product. http://landsat8.usgs.gov/Landsat 8_Using_Product.php. diakses pada 10 Maret 2020.

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