Contribution of Landsat 8 data for the estimation of land surface temperature in Batna city, Eastern Algeria

被引：36

作者：

Bendib, Abdelhalim ^{[1
]}

Dridi, Hadda ^{[1
]}

Kalla, Mohamed Issam ^{[1
]}

机构：

[1] Univ Batna, Lab Nat Hazards & Spatial Planning LRNAT, Batna, Algeria

来源：

GEOCARTO INTERNATIONAL | 2017年 / 32卷 / 05期

关键词：

Land surface temperature; Landsat; 8; TIRS; MODIS; mono-window algorithm; thermal infrared; MONO-WINDOW ALGORITHM; RETRIEVAL;

D O I：

10.1080/10106049.2016.1156167

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

In this study, we presented a mono-window (MW) algorithm for land surface temperature retrieval from Landsat 8 TIRS. MW needs spectral radiance and emissivity of thermal infrared bands as input for deriving LST. The spectral radiance was estimated using band 10, and the surface emissivity value was derived with the help of NDVI and vegetation proportion parameters for which OLI bands 5 and 4 were used. The results in comparison with MODIS (MOD11A1) products indicated that the proposed algorithm is capable of retrieving accurate LST values, with a correlation coefficient of 0.850. The industrial area, public facilities and military area show higher surface temperature (more than 37 degrees C) in comparison with adjoining areas, while the green spaces in urban areas (34 degrees C) and forests (29 degrees C) were the cooler part of the city. These successful results obtained in the study could be used as an efficient method for the environmental impact assessment.

引用

页码：503 / 513

页数：11

共 50 条

[31] A Study of Land Surface Temperature Retrieval and Thermal Environment Distribution Based on Landsat-8 in Jinan City
Dong, Fang
Chen, Jian
Yang, Fan
[J]. 2017 3RD INTERNATIONAL CONFERENCE ON ENVIRONMENTAL SCIENCE AND MATERIAL APPLICATION (ESMA2017), VOLS 1-4, 2018, 108
[32] Generating daily land surface temperature at Landsat resolution by fusing Landsat and MODIS data
Weng, Qihao
Fu, Peng
Gao, Feng
[J]. REMOTE SENSING OF ENVIRONMENT, 2014, 145 : 55 - 67
[33] HOW LANDSAT 9 IS SUPERIOR TO LANDSAT 8: COMPARATIVE ASSESSMENT OF LAND USE LAND COVER CLASSIFICATION AND LAND SURFACE TEMPERATURE
Ghasempour, F.
Sekertekin, A.
Kutoglu, S. H.
[J]. ISPRS GEOSPATIAL CONFERENCE 2022, JOINT 6TH SENSORS AND MODELS IN PHOTOGRAMMETRY AND REMOTE SENSING, SMPR/4TH GEOSPATIAL INFORMATION RESEARCH, GIRESEARCH CONFERENCES, VOL. 10-4, 2023, : 221 - 227
[34] Algorithms implementation for land surface temperature estimation based on Landsat data as an indicator of urban heat island
de Lucena, Andrews Jose
Peres, Leonardo de Faria
Rotunno Filho, Otto Correa
de Almeida Franca, Jose Ricardo
[J]. 2013 JOINT URBAN REMOTE SENSING EVENT (JURSE), 2013, : 262 - 266
[35] SPLIT-WINDOW ALGORITHM FOR ESTIMATING LAND SURFACE TEMPERATURE FROM LANDSAT 8 TIRS DATA
Du, Chen
Ren, Huazhong
Qin, Qiming
Meng, Jinjie
Li, Jing
[J]. 2014 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2014, : 3578 - 3581
[36] A Practical Split-Window Algorithm for Estimating Land Surface Temperature from Landsat 8 Data
Du, Chen
Ren, Huazhong
Qin, Qiming
Meng, Jinjie
Zhao, Shaohua
[J]. REMOTE SENSING, 2015, 7 (01): : 647 - 665
[37] RETRIEVING LAND SURFACE TEMPERATURE FROM LANDSAT 8 TIRS DATA USING RTTOV AND ASTER GED
Meng, Xiangchen
Li, Hua
Du, Yongming
Liu, Qinhuo
Zhu, Jinshan
Sun, Lin
[J]. 2016 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2016, : 4302 - 4305
[38] Land Surface Temperature Retrieval Methods From Landsat-8 Thermal Infrared Sensor Data
Jimenez-Munoz, Juan C.
Sobrino, Jose A.
Skokovic, Drazen
Mattar, Cristian
Cristobal, Jordi
[J]. IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2014, 11 (10) : 1840 - 1843
[39] Accuracy Evaluation and Parameter Analysis of Land Surface Temperature Inversion Algorithm for Landsat-8 Data
Wan, Jikang
Zhu, Min
Ding, Wei
[J]. ADVANCES IN METEOROLOGY, 2021, 2021
[40] A mixture emissivity analysis method for urban land surface temperature retrieval from Landsat 8 data
Li, Tianyu
Meng, Qingmin
[J]. LANDSCAPE AND URBAN PLANNING, 2018, 179 : 63 - 71

← 1 2 3 4 5 →