Results 51 to 60 of about 60,429 (279)

ASI: An artificial surface Index for Landsat 8 imagery

open access: yesInternational Journal of Applied Earth Observations and Geoinformation, 2022
Remotely sensing the spatial extent of artificial surfaces is essential for understanding human footprints and evaluating anthropogenic impacts on the global environment and climate.
Yongquan Zhao, Zhe Zhu
doaj   +1 more source

Satellite hindcasts of foliar traits reveal a subtle but consistent relaxation of conservativeness in a biodiverse mountain grassland over the last four decades

open access: yesEcography, EarlyView.
Projected warming and drying raise concerns about the resilience of stress‐adapted ecosystems, including the Brazilian Campo Rupestre, an exceptionally biodiverse mountaintop grassland mosaic on ancient, nutrient‐poor substrates. Here, we combine field‐based trait data and long‐term remote sensing to assess the functional structure and temporal ...
Renata Maia   +5 more
wiley   +1 more source

Validating Digital Earth Australia NBART for the Landsat 9 Underfly of Landsat 8

open access: yesRemote Sensing
In recent years, Geoscience Australia has undertaken a successful continental-scale validation program, targeting Landsat and Sentinel analysis-ready data surface reflectance products.
Guy Byrne   +13 more
doaj   +1 more source

Radiometric cross-calibration of Göktürk-2 with Landsat 8

open access: yes2017 25th Signal Processing and Communications Applications Conference (SIU), 2017
Radiometric calibration studies need to be done during the life-time of a satellite. In this paper, reflectance-based cross calibration was conducted at Tuz Golu LandNet site in 2016 using Gokturk-2 and Landsat 8 imageries. Using near-simultaneous images of the satellites under the same atmospheric conditions reduces the effect caused by reflection ...
Demirhan, Ismail Hakki   +2 more
openaire   +3 more sources

Метод выделения сельскохозяйственных полей по данным спутника LANDSAT-8 [PDF]

open access: yes, 2015
Рассмотрен метод комплексной фильтрации выделения сельскохозяйственных полей по данным панхроматической съемки спутника дистанционного зондирования Земли из космоса Landsat-8.
Гаркуша, И. Н.   +4 more
core  

Vegetation on the move: elevational shifts and greening dynamics across the Himalayan alpine zone

open access: yesEcography, EarlyView.
This study investigates alpine ‘vegetation line' (the upper limit of continuous plant community) dynamics in the Himalayan alpine zone (HAZ) over a 24‐year timescale (1999–2022) using maximum NDVI products derived from Landsat series datasets, adjusted for sampling bias using phenological modelling.
Ruolin Leng   +5 more
wiley   +1 more source

A tool for global and regional Landsat 7 and Landsat 8 cross-sensor harmonization

open access: yesGeocarto International
The Landsat archive can be used to track long-term landscape and environmental changes. However, substantial differences in atmospheric correction algorithms, radiometric resolution, and spectral response functions suggest that harmonization models ...
Galen Richardson   +3 more
doaj   +1 more source

Identifikasi Status Trofik Perairan Menggunakan Data Penginderaan Jauh Citra Landsat-8 Oli (Operational Land Imager) Di Waduk Sutami (Karangkates) Jawa Timur [PDF]

open access: yes, 2014
Kualitas air waduk merupakan hal yang sangat penting untuk dilakukan monitoring karena adanya potensi penurunan kualitas waduk seperti eutrofikasi, yang ditandai dengan meningkatnya status trofik.
Priadi, T. (Tedy)   +1 more
core  

Interpretasi Lahan Sawah Di Kecamatan Limboto Barat Menggunakan Citra Landsat 8 Oli (Interpretation of Paddy Fields in West Limboto Subdistrict Using Landsat 8 Oli) [PDF]

open access: yes, 2018
- One of the issues of national food security is the availability of staple food in the form of rice in a sustainability. The availability of paddy fields in West Limboto subdistrict, which is one of the rice producing areas in Gorontalo Regency needs to
Arifin, S. S. (Sri)   +2 more
core   +2 more sources

Harnessing the power of machine and deep learning for transferring joint species distribution models considering the structure of biotic interactions

open access: yesEcography, EarlyView.
The transferability of single or joint species distribution models ((j)SDMs) depends on their ability to predict beyond the observed environmental range and to remain consistent despite shifts in biotic interactions. Transfer accuracy may be improved by recent advances in the application of deep learning that provide greater flexibility and potentially
Marco Basile   +44 more
wiley   +1 more source

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