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Retrieval of land surface temperature, normalized difference moisture index, normalized difference water index of the Ravi basin using Landsat data

Land surface temperature (LST) is an important parameter for the biosphere, cryosphere, and climate change studies. In this study, we estimate LST, NDMI, and NDWI over the Ravi basin, India, and parts of Pakistan, using Landsat-8 Operational Land Imager (OLI) and Thermal Infrared Sensor (TIRS) data. The study develops an ERDAS IMAGINE image processing method by using the LANDSAT 8 band 3(Green), band 4(Red), band 5(NIR), band 6(SWIR 1), and band 10 (TIR) data for determining the various spectral indices. The LST results show that most of the areas experienced extreme anomalies ranging from −350Cand 36 ​°C. The normalized difference moisture index (NDMI) value ranges from 0.685 to - 0.154. The normalized difference water index (NDWI) value ranges from 0.146 to - 0.444. Further, the LST result validated with in situ temperature observations at six locations in the study area, providing excellent correlation.

Ketersediaan
111551.136Perpustakaan BIG (Eksternal Harddisk)Tersedia
Informasi Detail
Judul Seri
Applied Computing and Geoscience - Open Access
No. Panggil
551.136
Penerbit
Amsterdam : Elsevier.,
Deskripsi Fisik
11 hlm PDF, 6.160 KB
Bahasa
Inggris
ISBN/ISSN
2590-1974
Klasifikasi
551.136
Tipe Isi
text
Tipe Media
-
Tipe Pembawa
-
Edisi
Vol.9, March 2021
Subjek
Land surface temperature (LST)
Normalized difference vegetation index (NDVI)
Info Detail Spesifik
-
Pernyataan Tanggungjawab
Versi lain/terkait

Tidak tersedia versi lain

Lampiran Berkas
  • Retrieval of land surface temperature, normalized difference moisture index, normalized difference water index of the Ravi basin using Landsat data
    Land surface temperature (LST) is an important parameter for the biosphere, cryosphere, and climate change studies. In this study, we estimate LST, NDMI, and NDWI over the Ravi basin, India, and parts of Pakistan, using Landsat-8 Operational Land Imager (OLI) and Thermal Infrared Sensor (TIRS) data. The study develops an ERDAS IMAGINE image processing method by using the LANDSAT 8 band 3(Green), band 4(Red), band 5(NIR), band 6(SWIR 1), and band 10 (TIR) data for determining the various spectral indices. The LST results show that most of the areas experienced extreme anomalies ranging from −350Cand 36 ​°C. The normalized difference moisture index (NDMI) value ranges from 0.685 to - 0.154. The normalized difference water index (NDWI) value ranges from 0.146 to - 0.444. Further, the LST result validated with in situ temperature observations at six locations in the study area, providing excellent correlation.
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