Results 31 to 40 of about 5,916,710 (320)

Prediction of Urban Forest Aboveground Carbon Using Machine Learning Based on Landsat 8 and Sentinel-2: A Case Study of Shanghai, China

open access: yesRemote Sensing, 2023
The aboveground carbon storage (AGC) of urban forests is an important indicator reflecting the ecological function of urban forests. It is essential to monitor the AGC of urban forests and analyze their spatiotemporal distributions.
Huimian Li   +4 more
semanticscholar   +1 more source

Operational Aspects of Landsat 8 and 9 Geometry

open access: yesRemote Sensing, 2023
Landsat 9 (L9) was launched on 27 September 2021. This spacecraft contained two instruments, the Operational Land Imager-2 (OLI-2) and Thermal Infrared Sensor-2 (TIRS-2), that allow for a continuation of the Landsat program and the mission to acquire ...
Michael J. Choate   +4 more
doaj   +1 more source

A Modified Bare Soil Index to Identify Bare Land Features during Agricultural Fallow-Period in Southeast Asia Using Landsat 8

open access: yesLand, 2021
Bare soil is a critical element in the urban landscape and plays an essential role in urban environments. Yet, the separation of bare soil and other land cover types using remote sensing techniques remains a significant challenge.
Can Trong Nguyen   +3 more
semanticscholar   +1 more source

Landsat 9 pre-launch sensor characterization and comparison with Landsat 8 results [PDF]

open access: yesSensors, Systems, and Next-Generation Satellites XXIII, 2019
Landsat 9 is planned for launch in December 2020 to continue the mission of observing changes on the Earth’s surface that began in 1972 with the launch of Landsat 1. Like Landsat 8, Landsat 9 will carry two imaging instruments: Operational Land Imager 2 (OLI-2), designed and built by Ball Aerospace**, and Thermal Infrared Sensor 2 (TIRS-2 ...
Esad Micijevic   +5 more
openaire   +2 more sources

Comparing leaf area index estimates in a Mediterranean forest using field measurements, Landsat 8, and Sentinel-2 data

open access: yesEcological Processes, 2023
Background Leaf area index (LAI) is a key indicator for the assessment of the canopy’s processes such as net primary production and evapotranspiration. For this reason, the LAI is often used as a key input parameter in ecosystem services’ modeling, which
A. Sebastiani, R. Salvati, F. Manes
semanticscholar   +1 more source

A Study of the Land Cover of Razzaza Lake during the Past 25 Years Using Remote Sensing Methods

open access: yesIbn Al-Haitham Journal for Pure and Applied Sciences, 2023
In this study, the Earth's surface was studied in  Razzaza Lake for 25 years, using remote sensing methods. Images of the satellites Landsat 5 (TM) and 8 (OLI) were used to study and determine the components of the land cover. The study covered the years
Noor S. Ahmed, Hameed M. Abduljabbar
doaj   +1 more source

Validation of Landsat-9 and Landsat-8 Surface Temperature and Reflectance during the Underfly Event

open access: yesRemote Sensing, 2023
With the launch of Landsat-9 on 27 September 2021, Landsat continues its fifty-year continuity mission of providing users with calibrated Earth observations.
Rehman S. Eon   +6 more
semanticscholar   +1 more source

Evaluating the consistency of surface brightness, greenness, and wetness observations between Landsat-8 OLI and Landsat-9 OLI2 through underfly images

open access: yesInternational Journal of Applied Earth Observations and Geoinformation, 2023
One important mission of the newly launched Landsat-9 is to collaborate with Landsat-8 to reduce the revisit period of Landsat Earth observations to eight days. This requires a high level of consistency between the two satellite data.
Hanqiu Xu, Mengjie Ren, Lijuan Yang
doaj   +1 more source

Temporal Changes in Mediterranean Pine Forest Biomass Using Synergy Models of ALOS PALSAR-Sentinel 1-Landsat 8 Sensors

open access: yesRemote Sensing, 2023
Currently, climate change requires the quantification of carbon stored in forest biomass. Synthetic aperture radar (SAR) data offers a significant advantage over other remote detection measurement methods in providing structural and biomass-related ...
Edward A. Velasco Pereira   +3 more
semanticscholar   +1 more source

Convolutional Neural Network-Driven Improvements in Global Cloud Detection for Landsat 8 and Transfer Learning on Sentinel-2 Imagery

open access: yesRemote Sensing, 2023
A stable and reliable cloud detection algorithm is an important step of optical satellite data preprocessing. Existing threshold methods are mostly based on classifying spectral features of isolated individual pixels and do not contain or incorporate the
Shulin Pang   +4 more
semanticscholar   +1 more source

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