Results 11 to 20 of about 5,916,710 (320)
Seamless Landsat-7 and Landsat-8 data composites covering all AmazoniaFairdata.fi [PDF]
The use of satellite remote sensing has considerably improved scientific understanding of the heterogeneity of Amazonian rainforests. However, the persistent cloud cover and strong Bidirectional Reflectance Distribution Function (BRDF) effects make it ...
Rajit Gupta +2 more
doaj +7 more sources
PIXEL BASED LANDSLIDE IDENTIFICATION USING LANDSAT 8 AND GEE [PDF]
Landslide is one of the most common natural disasters triggered mainly due to heavy rainfall, cloud burst, earthquake, volcanic eruptions, unorganized constructions of roads, and deforestation.
P. Singh, V. Maurya, R. Dwivedi
doaj +4 more sources
Initial Cross-Calibration of Landsat 8 and Landsat 9 Using the Simultaneous Underfly Event
With the launch of Landsat 9 in September 2021, an optimal opportunity for in-flight cross-calibration occurred when Landsat 9 flew underneath Landsat 8 while being moved into its final orbit.
Garrison Gross +5 more
doaj +3 more sources
Landsat 9 Cross Calibration Under-Fly of Landsat 8: Planning, and Execution
During the early post-launch phase of the Landsat 9 mission, the Landsat 8 and 9 mission teams conducted a successful under-fly of Landsat 8 by Landsat 9, allowing for the near-simultaneous data collection of common Earth targets by the on-board sensors ...
Edward Kaita +8 more
doaj +2 more sources
Landsat-8 Sensor Characterization and Calibration [PDF]
Landsat-8 was launched on 11 February 2013 with two new Earth Imaging sensors to provide a continued data record with the previous Landsats. For Landsat-8, pushbroom technology was adopted, and the reflective bands and thermal bands were split into two ...
Brian Markham, James Storey, Ron Morfitt
doaj +2 more sources
PIXEL-BASED CLASSIFICATION ANALYSIS OF LAND USE LAND COVER USING SENTINEL-2 AND LANDSAT-8 DATA [PDF]
The aim of this study is to conduct accuracy analyses of Land Use Land Cover (LULC) classifications derived from Sentinel-2 and Landsat-8 data, and to reveal which dataset present better accuracy results.
A. Sekertekin, A. M. Marangoz, H. Akcin
doaj +2 more sources
The rapid and accurate extraction of water information from satellite imagery has been a crucial topic in remote sensing applications and has important value in water resources management, water environment monitoring, and disaster emergency management ...
Jie Chen +10 more
doaj +2 more sources
Forest aboveground biomass estimation using Landsat 8 and Sentinel-1A data with machine learning algorithms. [PDF]
Forest aboveground biomass (AGB) plays an important role in the study of the carbon cycle and climate change in the global terrestrial ecosystem. AGB estimation based on remote sensing is an effective method for regional scale.
Li Y, Li M, Li C, Liu Z.
europepmc +2 more sources
Near Real-Time Browsable Landsat-8 Imagery [PDF]
The successful launch and operation of Landsat-8 extends the remarkable 40-year acquisition of space-based land remote-sensing data. To respond quickly to emergency needs, real-time data are directly downlinked to 17 ground stations across the world on a
Cheng-Chien Liu +6 more
doaj +2 more sources
At over 40 years, the Landsat satellites provide the longest temporal record of space-based land surface observations, and the successful 2013 launch of the Landsat-8 is continuing this legacy. Ideally, the Landsat data record should be consistent over the Landsat sensor series.
D. Roy +6 more
semanticscholar +3 more sources

