Retrieval of land surface temperature from the Kalpana-1 VHRR data using a single-channel algorithm and its validation over western India |
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| Institution: | 1. Space Applications Centre, ISRO, Ahmedabad, India;2. N. V. Patel College of Pure and Applied Sciences, Vallabh Vidyanagar, India;1. Key Laboratory of Meteorological Disaster, Ministry of Education (KLME)/Joint International Research Laboratory of Climate and Environment Change (ILCEC)/Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters (CIC-FEMD), Nanjing University of Information Science and Technology, Nanjing, 210044, China;2. State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China;3. Shanghai Typhoon Institute of China Meteorological Administration, Shanghai 200030, China;1. School of Science, Hunan Institute of Technology, Hengyang, 421002, China;2. Department of Chemistry, Shenzhen Grubbs Institute, Southern University of Science and Technology, Shenzhen, 518055, China;1. Military Institute of Mechanical Engineering, Ha Noi, Viet Nam;2. Division of Computational Physics, Institute for Computational Science, Ton Duc Thang University, Ho Chi Minh City, Viet Nam;3. Faculty of Electrical & Electronics Engineering, Ton Duc Thang University, Ho Chi Minh City, Viet Nam;4. Department of Physics, Ho Chi Minh City University of Education, Ho Chi Minh City, Viet Nam;5. Applied Computational Civil and Structural Engineering Research Group, Faculty of Civil Engineering, Ton Duc Thang University, Ho Chi Minh City, Viet Nam;6. Frantsevych Institute for Problems of Materials Science, National Academy of Sciences of Ukraine, 3 Krzhyzhanivsky Street, UA-03?232, Kyiv, Ukraine;7. Institute of Applied Technology, Thu Dau Mot University, Binh Duong Province, Viet Nam;1. Faculty of Physics, Shahid Bahonar University of Kerman, Kerman, Iran;2. Department of Physics, University of Kashan, Kashan 87317-53153, Iran;1. Department of Physics, Sir P.T. Sarvajanik College of Science, Surat, Gujarat 395001, India;2. Department of Physics, Veer Narmad South Gujarat University, Surat, Gujarat 395007, India;3. Department of Physics, Navyug Science College, Surat, Gujarat 395009, India |
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| Abstract: | Indian geostationary satellite Kalpana-1 (K1) offers a potential to capture the diurnal cycle of land surface temperature (LST) through thermal infrared channel (10.5–12.5 μm) observations of the Very High Resolution Radiometer (VHRR) sensor. A study was carried out to retrieve LST by adapting a generalized single-channel (SC) algorithm (Jiménez-Muñoz and Sobrino, 2003) for the VHRR sensor over India. The basis of SC algorithm depends on the concept of Atmospheric Functions (AFs) that are dependent on transmissivity, upwelling and downwelling radiances of the atmosphere. In the present study AFs were computed for the VHRR sensor through the MODTRAN simulations based upon varying atmospheric and surface inputs. The AFs were fitted with the atmospheric columnar water vapour content and a set of coefficients was derived for LST retrieval. The K1-LST derived with the SC algorithm was validated with (a) in situ measurements at two sites located in western parts of India and (b) the MODIS LST products. Comparison of K1-LST with the in situ measurements demonstrated that SC algorithm was successful in capturing the prominent diurnal variations of 283–332 K in the LST at desert and agriculture experimental sites with a rmse of 1.6 K and 2.7 K, respectively. Inter comparison of K1-LST and MODIS LST showed a reasonable agreement between these two retrievals up to LST of 300 K, however a cold bias up to 7.9 K was observed in MODIS LST for higher LST values (310–330 K) over the hot desert region. |
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| Keywords: | Kalpana-1 Land surface temperature (LST) MODTRAN Single-channel Thermal infrared |
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