Evaluation Possibility of Calibration of LISSIII & ASTER Sensors by Using of Salt Crusts in Dry Areas of Iran
Subject Areas :
GIS
Hossein Nazmfar
1
(
Professor, Urban Planning, University of Mohaghegh Ardabil, Ardabil, Iran * (Corresponding Author)
)
Nader Sarmasty
2
(
B.Sc.,Geography University of Mohaghegh Ardabili, Ardabil, Iran
)
S.Kazem Alavipanah
3
(
Professor, Remote Sensing University of Tehran, Tehran, Iran
)
Received: 2014-01-06
Accepted : 2015-10-27
Published : 2021-05-22
Keywords:
Damghan,
Calibration,
Maharlo,
Kashsn,
Sensor,
Abstract :
Background and Objective: One of the key issues in quantitative analysis of digital satellite data is to ensure that the sensitivity of the satellite's radiometer is stable after launch. Achieving such a goal requires radiometric calibration of the satellite sensor. The aim of this study was to investigate the possibility of using arid salt marshes as reference terrestrial phenomena for radiometric calibration of LISSIII and ASTER sensors. For this purpose, salt fields in dry areas of Damghan, Kashan and Maharloo were used for radiometric calibration of reflective bands of LISSIII and ASTER sensors.Method: First, the characteristics of salt fields in the study areas were evaluated based on previous research, field studies and available satellite data. Then, using the calibration relationships, the information in the guide files as well as the calibration coefficients of the sensors used, the spectral reflectance of the saltworks in the reflection bands were calculated and the correlation between the brightness of the images and the spectral reflection of the saltworks (satellite sensor radiation above the atmosphere) was evaluated.Findings: The linear relationship and high correlation coefficient (more than 0.8) in each of the visible and infrared bands near LISSIII and ASTER sensors showed that arid salt marshes as reference terrestrial phenomena can be limited to radiometric calibration of LISSIII and ASTER sensors in LISSIII and ASTER sensors. And infrared close to have efficiency.Discussion and Conclusion: The results showed that the trend of changes is very consistent with each other (explanation coefficient between 0.8 to 0.9), in other words, with increasing the degree of brightness, the amount of spectral reflection also increases. Due to the linear relationship and high correlation coefficient (more than 0.8) in each of the visible and infrared bands near LISSIII and ASTER sensors, the atmosphere did not have much effect on the received radiation of the sensor.
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Markham. B. L, 2010, “Vicarious calibration of ASTER thermal infrared bands”, IEEE Trans. Geosic. Remote Sens. 43:2733_2746.
Nazmfar, H., Beheshti. B. (2016). Application of Combined model analytical network process and fuzzy logic models in Landslide susceptibility zonation (Case Study: chellichay Catchment). Journal Geography and Environmental Planning. 27 (1): 53-68.
Tonnoka, H., F. D. Palluconi, S.J. Hook, & T. Motsunaga, 2009, “Vicarious calibration of ASTER thermal channels”, IEEE Trans. Geosci. Remote Sens. 43:2733-2746.
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Palluconi, F. D., 2010, “Validation of the ASTER thermal infrared surface radiance data product”. Proc. SPIE. 2820:97-104.
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Fatemi, Seyed Baqer, 2006, "Fundamentals of Remote Sensing", Azadeh Publications, First Edition, 2006.
Rudgarmi et al., 2008, "Application of satellite imagery and remote sensing techniques in assessing the effects of biological development", Iranian Journal of Natural Resources, Volume 57, Number 2, pp. 1-12.
Xiao, Q., J. Liu, H. Yu, & H. Zhang, 2008, “Analysis and evaluation of optical uniformity for Dunhuang calibration site by airborn spectrum survey data”, Remote Sens. 38:136_142.
- Matkan AA, Shakhiba A, Poor AliS H, Nazmfar H. (2008), locating suitable sites for landfill using GIS. (study area: the city of Tabriz), Journal of Environmental Sciences, 2008, (2), 121- 132. (In Persian)
Thome, K. J., “Absolute radiometric calibration of landsat-7 ETM+ using the reflectance_based method”, 2009, Remote Sens. Env. 78:27-38.
Nazmfar, H. (2012). An analysis of urban system with emphasis on entropy model (Casestudy: the cities of East Azerbaijan Province), Indian Journal of Science and Technology.
Volume 5, Issue 9, p. 3340 -3344.
Scott, K. P., K. J. Thome, & M. R. Brownlee, 2010, “Evaluation of the Railroad Valley Playa for use in vicarious calibration,” Proc. SPIE Conf. Vol. 2818.
Hossein Nazmfar (2019) An integrated approach of the analytic network process and fuzzy model mapping of evaluation of urban vulnerability against earthquake, Geomatics, Natural Hazards andRisk, 10:1, 15121528, DOI: 10.1080/19475705.2019.1588791
Fraser, R. S. and Kaufman, Y. J., 2010, “Calibration of satellite sensors after launch”, APPL. Opt. 25:1177-1185.
Thome, K., S. Schiller, J. Conel, K. Arai, & S. Tsuchida, 2009, “Results of the 1996 earth observing system vicarious calibration campaign at Lunar Lake Playa, Nevada (USA)”, Merologia. 35:631_638.
Nazmfar, H. Eshgi, A. Alavi, S. Pourmoradian, S. (2019): Analysis of travel and tourism competitiveness index in middle-east countries, Asia Pacific Journal of Tourism Research, 24 (1): 501-513.
. Henry, P., M. Dinguirard, & M. Bodilis, 2012, “Spot multi_temporal calibration over stable desert areas”, SPIE. 1938:67_76.
Farifteh, J. A. & R. J. Farshad, 2009, “Assessing salt_affected soils using remote sensing”, Solute modeling and geo. 130:191_206.
Nazmfar, H. Alavi, S. Eshgi, A. Feizizadeh. B. (2019): Vulnerability evaluation of urban buildings to various earthquake intensities: a case study of the municipal zone 9 of Tehran, Human and Ecological Risk Assessment: An International Journal, DOI: 10.1080/10807039.2018.1556086.
Thome, K., B. Markham, J. Barker, P. Slater, & S. Bigger, 2010, “Radiometric calibration of Landsat”, Photogram. Eng. & Remote Sens. 63:853-858
Nazmfar, H. Eshgi, A. Alavi, S. Pourmoradian, S. (2019): Analysis of travel and tourism competitiveness index in middle-east countries, Asia Pacific Journal of Tourism Research, 24 (1): 501-513.
Kaufman, Y. J. and Holben, B. N., 2010, Calibration of the AVHRR visible and near-IR bands by atmospheric scattering, ocean glint and desert reflection, Int. J. Remote Sens. 14:21-52.
Nazmfar, H. & Jafarzadeh, J.Classification of Satellite Images in Assessing Urban Land Use Change Using Scale Optimization in Object-Oriented Processes (A Case Study: Ardabil City, Iran)J Indian Soc Remote Sens (2018) 46: 1983. https://doi.org/10.1007/s12524-018-0850-7.
Markham. B. L, 2010, “Vicarious calibration of ASTER thermal infrared bands”, IEEE Trans. Geosic. Remote Sens. 43:2733_2746.
Nazmfar, H., Beheshti. B. (2016). Application of Combined model analytical network process and fuzzy logic models in Landslide susceptibility zonation (Case Study: chellichay Catchment). Journal Geography and Environmental Planning. 27 (1): 53-68.
Tonnoka, H., F. D. Palluconi, S.J. Hook, & T. Motsunaga, 2009, “Vicarious calibration of ASTER thermal channels”, IEEE Trans. Geosci. Remote Sens. 43:2733-2746.
Nazmfar, H., Roshan Roodi, S. (2015). Assessment of Development Sustainability Level in 9th District of Mashhad District Based on Hierarchy Models and Network Analysis. Journal Management System. 5(15): 49-68.
Palluconi, F. D., 2010, “Validation of the ASTER thermal infrared surface radiance data product”. Proc. SPIE. 2820:97-104.
Nazmfar, H. (2017). Urban development predictions direction of using a combination GIS and Bayesian the probabilistic model (case study: Ardabil), Human Geography Research Quarterly, 49, 357-370. (In Persian)
