Results 21 to 30 of about 6,095 (240)
Towards an integrated soil moisture drought monitor for East Africa [PDF]
Drought in East Africa is a recurring phenomenon with significant humanitarian impacts. Given the steep climatic gradients, topographic contrasts, general data scarcity, and, in places, political instability that characterize the region, there is a need ...
W. B. Anderson +6 more
doaj +1 more source
Strong ocean surface mean and gust winds associated with deep convection can cause significant damages. It is hard to estimate surface convective wind gusts since they may occur suddenly and become intense quickly.
Tran Vu La, Christophe Messager
doaj +1 more source
Inconsistencies of interannual variability and trends in long-term satellite leaf area index products [PDF]
Understanding the long-term performance of global satellite leaf area index (LAI) products is important for global change research. However, few effort has been devoted to evaluating the long-term time-series consistencies of LAI products.
Claverie, Martin +5 more
core +1 more source
Abstract Divergent thinking (DT) is an important constituent of creativity that captures aspects of fluency and originality. The literature lacks multivariate studies that report relationships between DT and its aspects with relevant covariates, such as cognitive abilities, personality traits (e.g. openness), and insight. In two multivariate studies (N
S. Weiss +6 more
wiley +1 more source
This article describes the first step toward the development of the geophysical model function (GMF) for the retrieval of wind speed and wind stress in hurricanes, based on developing a relation between the cross-polarized satellite SAR data from Sentinel-1 and winds/stress observed from collocated NOAA GPS-dropsondes data.
Olga Stanislavovna Ermakova +5 more
openaire +2 more sources
Validation of spaceborne and modelled surface soil moisture products with cosmic-ray neutron probes [PDF]
The scale difference between point in situ soil moisture measurements and low resolution satellite products limits the quality of any validation efforts in heterogeneous regions.
Bogena, Heye R. +6 more
core +4 more sources
Exploring Machine Learning to Correct Satellite-Derived Sea Surface Temperatures
Machine learning techniques are attractive tools to establish statistical models with a high degree of non linearity. They require a large amount of data to be trained and are therefore particularly suited to analysing remote sensing data.
Stéphane Saux Picart +3 more
doaj +1 more source
Sensitivity of GNSS-R spaceborne observations to soil moisture and vegetation [PDF]
Global navigation satellite systems-reflectometry (GNSS-R) is an emerging remote sensing technique that makes use of navigation signals as signals of opportunity in a multistatic radar configuration, with as many transmitters as navigation satellites are
Camps Carmona, Adriano José +6 more
core +2 more sources
Site representativity of AERONET and GAW remotely sensed aerosol optical thickness and absorbing aerosol optical thickness observations [PDF]
Remote sensing observations from the AERONET (AErosol RObotic NETwork) and GAW (Global Atmosphere Watch) networks are intermittent in time and have a limited field of view. A global high-resolution simulation (Goddard Earth Observing System Model (GEOS-5)
N. A. J. Schutgens
doaj +1 more source
Assessment of Level-3 Gridded Global Precipitation Mission (GPM) Products Over Oceans
The performance of Level-3 gridded Global Precipitation Mission (GPM)-based precipitation products (IMERG, Integrated Multi-satellite Retrievals for GPM) is assessed against two references over oceans: the OceanRAIN dataset, derived from oceanic ...
Sana Khan, Viviana Maggioni
doaj +1 more source

