Results 21 to 30 of about 60,429 (279)

Evaluation of Landsat-8 and Sentinel-2A Aerosol Optical Depth Retrievals Across Chinese Cities and Implications for Medium Spatial Resolution Urban Aerosol Monitoring [PDF]

open access: yes, 2019
In urban environments, aerosol distributions may change rapidly due to building and transport infrastructure and human population density variations.
Huang, Haiyan   +4 more
core   +2 more sources

A One Year Landsat 8 Conterminous United States Study of Cirrus and Non-Cirrus Clouds

open access: yesRemote Sensing, 2015
The first year of available Landsat 8 data over the conterminous United States (CONUS), composed of 11,296 acquisitions sensed over more than 11 thousand million 30 m pixel locations, was analyzed comparing the spatial and temporal incidence of 30 m ...
Valeriy Kovalskyy, David P. Roy
doaj   +1 more source

Above-Ground Biomass Estimation for Coniferous Forests in Northern China Using Regression Kriging and Landsat 9 Images

open access: yesRemote Sensing, 2022
Accurate estimation of forest above-ground biomass (AGB) is critical for assessing forest quality and carbon stocks, which can improve understanding of the vegetation growth processes and the global carbon cycle.
Fugen Jiang   +5 more
doaj   +1 more source

Evapotranspiration estimation using Landsat-8 data with a two-layer framework [PDF]

open access: yes, 2017
This work was partially supported by the National Natural Science Foundation of China (41401042), National Key Basic Research Program of China (973 Program) (Grant No. 2015CB452701) and National Natural Science Foundation of China (Grant Nos.
Lu, Yang   +3 more
core   +1 more source

Land Cover Change Image Analysis for Assateague Island National Seashore Following Hurricane Sandy [PDF]

open access: yes, 2015
The assessment of storm damages is critically important if resource managers are to understand the impacts of weather pattern changes and sea level rise on their lands and develop management strategies to mitigate its effects. This study was performed to
Congalton, Russell G., Grybas, Heather
core   +2 more sources

Spatial Analysis of Mangrove Distribution Using Landsat 8 Oli in Badung Regency and Denpasar City, Bali Province, Indonesia

open access: yesForum Geografi, 2022
Bali is an island situated among the Indonesian archipelago with huge potential to host mangrove forests. Using remote sensing technology advances, satellite images, such as Landsat images, might be employed to analyse mangrove forest distribution and ...
Putu Perdana Kusuma Wiguna   +7 more
doaj   +1 more source

Capturing coastal water clarity variability with Landsat 8

open access: yesMarine Pollution Bulletin, 2019
Coastal water clarity varies at high temporal and spatial scales due to weather, climate, and human activity along coastlines. Systematic observations are crucial to assessing the impact of water clarity change on aquatic habitats. In this study, Secchi disk depths (ZSD) from Boston Harbor, Buzzards Bay, Cape Cod Bay, and Narragansett Bay water quality
Kelly M.A. Luis   +6 more
openaire   +3 more sources

Remotely sensed mid-channel bar dynamics in downstream of the Three Gorges Dam, China [PDF]

open access: yes, 2020
The downstream reach of the Three Gorges Dam (TGD) along the Yangtze River (1560 km) hosts numerous mid-channel bars (MCBs). MCBs dynamics are crucial to the river’s hydrological processes and local ecological function.
Shao, Guofan   +4 more
core   +1 more source

Applications of Landsat-8 Data: a Survey

open access: yesInternational Journal of Engineering & Technology, 2018
Landsat 8 was launched in 2013 by the National Aeronautics and Space Administration (NASA). On board of the Landsat 8 is the Operational Land Imager (OLI) and Thermal Infrared Sensor (TIRS). Data for visible, panchromatic band, short-wave infrared spectral bands are collected by the OLI while TIRS collect images in the thermal region.
M. A. Ridwan   +8 more
openaire   +2 more sources

A multi-temporal phenology based classification approach for Crop Monitoring in Kenya [PDF]

open access: yes, 2019
The SBAM (Satellite Based Agricultural Monitoring) project, funded by the Italian Space Agency aims at: developing a validated satellite imagery based method for estimating and updating the agricultural areas in the region of Central-Africa; implementing
Jahjah, M., Laneve, G., Luciani, R.
core   +1 more source

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