Comparative analysis of flood extent mapping using sentinel-1A and Landsat-8 data

2017 ◽  
Author(s):  
Muhammad Orangzeb
Keyword(s):  
Comparative Analysis ◽  
Landsat 8

scholarly journals Comparative analysis of GF-1, HJ-1, and Landsat-8 data for estimating the leaf area index of winter wheat

2017 ◽  
Vol 16 (2) ◽  
pp. 266-285 ◽  
Author(s):  
He LI ◽  
Zhong-xin CHEN ◽  
Zhi-wei JIANG ◽  
Wen-bin WU ◽  
Jian-qiang REN ◽  
...  
Keyword(s):  
Comparative Analysis ◽  
Winter Wheat ◽  
Leaf Area Index ◽  
Leaf Area ◽  
Landsat 8 ◽  
Area Index

scholarly journals Satellite-based land use mapping: comparative analysis of Landsat-8, Advanced Land Imager, and big data Hyperion imagery

2016 ◽  
Vol 10 (2) ◽  
pp. 026004 ◽  
Author(s):  
Wasim Pervez ◽  
Vali Uddin ◽  
Shoab Ahmad Khan ◽  
Junaid Aziz Khan
Keyword(s):  
Land Use ◽  
Big Data ◽  
Comparative Analysis ◽  
Landsat 8

scholarly journals Estimation of Land Surface Temperature from Landsat-8 OLI Thermal Infrared Satellite Data. A Comparative Analysis of Two Cities in Ghana

2021 ◽  
Vol 10 (04) ◽  
pp. 131-149
Author(s):  
Yaw A. Twumasi ◽  
Edmund C. Merem ◽  
John B. Namwamba ◽  
Olipa S. Mwakimi ◽  
Tomas Ayala-Silva ◽  
...  
Keyword(s):  
Comparative Analysis ◽  
Surface Temperature ◽  
Land Surface Temperature ◽  
Satellite Data ◽  
Land Surface ◽  
Thermal Infrared ◽  
Landsat 8 ◽  
Landsat 8 Oli ◽  
Two Cities

scholarly journals Comparative analysis of Landsat TM, ETM+, OLI and EO-1 ALI satellite images at the Tisza-tó area, Hungary

2016 ◽  
Vol 10 (2) ◽  
pp. 53-62 ◽  
Author(s):  
Loránd Szabó ◽  
Márton Deák ◽  
Szilárd Szabó
Keyword(s):  
Comparative Analysis ◽  
Land Cover ◽  
Satellite Images ◽  
Information Sources ◽  
Landsat 8 ◽  
Accurate Data ◽  
Maximum Likelihood Algorithm ◽  
Landsat 7 ◽  
Change Monitoring ◽  
Training Area

Satellite images are important information sources of land cover analysis or land cover change monitoring. We used the sensors of four different spacecraft: TM, ETM+, OLI and ALI. We classified the study area using the Maximum Likelihood algorithm and used segmentation techniques for training area selection. We validated the results of all sensors to reveal which one produced the most accurate data. According to our study Landsat 8’s OLI performed the best (96.9%) followed by TM on Landsat 5 (96.2%) and ALI on EO-1 (94.8%) while Landsat 7’s ETM+ had the worst accuracy (86.3%).

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