Results 171 to 180 of about 21,743 (232)

Fisher-Shannon Analysis of Sentinel 1 Time Series from 2015 to 2023: Revealing the Impact of <i>Toumeyella Parvicornis</i> Infection in a Pilot Site of Central Italy. [PDF]

Entropy (Basel)
Telesca L, Abate N, Lovallo M, Lasaponara R.   +3 more
europepmc   +1 more source

AI-driven mangrove mapping on Farasan Islands, Saudi Arabia: enhancing the detection of dispersed patches with ML classifiers. [PDF]

Sci Rep
Al-Huqail AA, Islam Z, Al-Harbi HF, Khan F.   +3 more
europepmc   +1 more source

DOSIF: Long-Term Daily SIF from OCO-3 with Global Contiguous Coverage. [PDF]

Sensors (Basel)
Yu L, Zhang X, Wang L, Ga R, Chen Y, Cai P.   +5 more
europepmc   +1 more source

Spatiotemporal dataset of dengue influencing factors in Brazil based on geospatial big data cloud computing. [PDF]

Sci Data
Zhu Q, Li Z, Dong J, Fu P, Cheng Q, Cai J, Gurgel H, Yang L.   +7 more
europepmc   +1 more source

Natural forests of the world - a 2020 baseline for deforestation and degradation monitoring. [PDF]

Sci Data
Neumann M, Raichuk A, Jiang Y, Rey M, Stanimirova R, Sims MJ, Carter S, Goldman E, Anderson K, Poklukar P, Tarrio K, Lesiv M, Fritz S, Clinton N, Stanton C, Morris D, Purves D.   +16 more
europepmc   +1 more source

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Modeling urban growth sustainability in the cloud by augmenting Google Earth Engine (GEE)

Computers, Environment and Urban Systems, 2020
Abstract Google Earth Engine (GEE) has been increasingly used in environmental and urban studies due to its cloud-based geospatial processing capability and accessibility to a large collection of geospatial datasets like Landsat, Modis, etc. However, at present, ecological and urban modeling efforts based on GEE are facing three grave challenges ...
Jianyuan Liang, Yichun Xie, Zongyao Sha, Alicia Zhou   +3 more
openaire   +2 more sources

Reservoir sedimentation assessment using the Google Earth Engine (GEE)

Journal of Applied Water Engineering and Research
To implement effective reservoir management practices, critical assessments of sediment deposition are important. In this study, we developed an automated approach using the Google Earth Engine to assess reservoir sedimentation and validated it on two ...
Samuel Negussie Bekele, Mulugeta Musie Abdi, Megersa Olumana Dinka   +2 more
openaire   +2 more sources

Automatic extraction of highly risky coastal retreat zones using Google earth engine (GEE)

International Journal of Environmental Science and Technology, 2022
C. Hamzaoglu, M. Dihkan
openaire   +2 more sources

Advances in Seismo-LAI anomalies detection within Google Earth Engine (GEE) cloud platform

Advances in Space Research, 2022
M. Akhoondzadeh
openaire   +2 more sources

USO DO GOOGLE EARTH ENGINE (GEE) NO COMBATE AO DESMATAMENTO NA AMAZÔNIA

Anais do Congresso de Gestão dos Países Soberanos da América do Sul sobre a Amazônia., 2023
Luis Fernando Cirqueira da Silva Correia, THOMAS VICTOR DE SOUSA MALHEIROS ROCHA, SÉRGIO SOUZA COSTA   +2 more
openaire   +2 more sources