LANDSAT 8 UYDU GÖRÜNTÜSÜNDEN OTOMATİK YER YÜZEY SICAKLIĞI ELDESİ: DİYARBAKIR – TÜRKİYE ÖRNEĞİ

Year 2017, Volume: 1 Issue: 1, 33 - 43, 30.04.2017

Hakan Oguz

https://doi.org/10.32328/turkjforsci.296845

Cited By: 4

Abstract

Yer yüzey sıcaklığı (YYS) yüzey enerji dengesi açısından çok önemli bir
parametredir. Termal sensöre sahip olan yeni jenerasyon Landsat 8 uydusu
dünyanın yüzey sıcaklığını 100 m konumsal çözünürlüğe sahip termal iki bant
(bant 10 ve bant 11) sayesinde elde etmektedir. Bu çalışmanın ana amacı YYS
hesaplamasını kolay ve otomatik yapan bir araç geliştirmektir. Bu çalışmada
geliştirilen araç Landsat 8 uydu görüntüsünden YYS’nın hesaplanmasında
Radiative Transfer Equation (RTE) yöntemini kullanılmıştır. Kullanıcı sadece
bant 4, bant 5 ve bant 10 ile birkaç parametre girdikten sonar YYS otomatik
olarak elde edilmektedir. Bu araç önce radyans ve yüzey yansıması için atmosfer
üstü dönüşümlerini yapmaktadır. Normalize edilmiş vejetasyon indeksi (NDVI) kırmızı
ve yakın kızılötesi natlarının yüzey yansıma değerleri kullanılarak
hesaplanmıştır. Sobrino et al. (2008) tarafından geliştirilen NDVI threshols
yöntemi kullanılarak yer yüzey yayınırlığı hesaplanmıştır. Son olarak,
geliştirilen araç YYS’nı ºC olarak hesaplamaktadır.

Keywords

ArcGIS, Model Builder, CBS, NDVI, Yayınırlık

AUTOMATED LAND SURFACE TEMPERATURE RETRIEVAL FROM LANDSAT 8 SATELLITE IMAGERY: A CASE STUDY OF DIYARBAKIR - TURKEY

Abstract

Land Surface Temperature (LST) is an essential climate parameter,
related to surface energy balance. The new instrument which was called Thermal
Infrared Sensor (TIRS) carried on board of the new generation of Landsat 8
captures the temperature of the Earth’s surface in two bands, band 10 and band
11 with spatial resolution of 100m. The main objective of this study was to
develop a tool making the LST retrieval process quite simple and automated. In
this study, Radiative Transfer Equation (RTE) method has been employed in
ArcGIS Model Builder to retrieve LST from Landsat 8 satellite imagery. The user
just inputs required bands (Band4, Band5, and Band10) and a couple of parameters
then the tool outputs the final LST imagery automatically. The tool first makes
the conversions to top of atmosphere (TOA) radiance and reflectance. Then NDVI
is calculated based on NIR and RED bands reflectances. Land surface emissivity
is calculated based on NDVI Thresholds Method (NDVI-THM) which was developed by
Sobrino et al. (2008). Finally, the tool calculates land surface temperatures
in degrees Celsius.

Keywords

ArcGIS, Model Builder, GIS, NDVI, Emissivity

References

• Barsi, J.A., Schott, J.R., Palluconi, F.D., Helder, D.L., Hook, S.J., Markham, B.L., Chander, G., & O’Donnell E.M. (2003) Landsat TM and ETM+ thermal band calibration. Canadian Journal of Remote Sensing, 29(2), 141–153.
• Cristóbal, J., Jiménez-Muñoz, J.C., Sobrino, J.A., Ninyerola, M. & Pons, X. (2009) Improvements in land surface temperature retrieval from the Landsat series thermal band using water vapor and air temperature. Journal of Geophysical Research, 114(D8), D08103.
• Jiménez-Muñoz, J.C., Cristóbal, J., Sobrino, J.A., Sòria, G., Ninyerola, M. & Pons, X. (2009) 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.
• Jiménez-Muñoz, J.C. & Sobrino J.A. (2008) Split-window coefficients for land surface temperature retrieval from low-resolution thermal infrared sensors, IEEE Geoscience and Remote Sensing Letters, 5(4), 806–809.
• LDUH (2016) Retrieved October 14 2016 from https://landsat.usgs.gov-/documents/Landsat8DataUsers-Handbook .pdf
• Li, Z.L., Tang, B.H., Wu, H., Ren, H., Yan, G., Wan, Z., Trigo, I.F. & Sobrino J.A. (2013) Satellite-derived land surface temperature: Current status and perspectives, Remote Sensing of Environment, 131, 14-37.
• Oguz, H. (2013) LST calculator: A program for retrieving Land Surface Temperature from Landsat TM/ETM+ imagery Environmental engineering and management journal 12(3):549-555.
• Oguz, H. (2015) A Software Tool for Retrieving Land Surface Temperature from ASTER Imagery, Journal of Agricultural Sciences. 21, 471-482.
• Oguz, H. (2016a) Automated Land Surface Temperature Retrieval from Landsat 8 Satellite Imagery: A Case Study of Kahramanmaras – Turkey. In R. Efe, I. Curebal, A. Gad & B. Toth (Eds.), Environmental Sustainability and Landscape Management (pp. 598-604). St. Kliment Ohridski University Press, Sofia.
• Oguz, H. (2016b) LST Calculator: A Python Tool for Retrieving Land Surface Temperature from Landsat 8 Imagery. In R. Efe, I. Curebal, A. Gad & B. Toth (Eds.), Environmental Sustainability and Landscape Management (pp. 560-572). St. Kliment Ohridski University Press, Sofia.