Recurrent-based regression of Sentinel time series for continuous vegetation monitoring
Dense time series of optical satellite imagery describing vegetation activity provide essential
information for the efficient and regular monitoring of vegetation. Nevertheless, the temporal …
information for the efficient and regular monitoring of vegetation. Nevertheless, the temporal …
Deep-STEP: A deep learning approach for spatiotemporal prediction of remote sensing data
With the advent of advanced remote sensing technologies in past few decades, acquiring
higher resolution satellite images has become easier and cheaper in recent days. However …
higher resolution satellite images has become easier and cheaper in recent days. However …
Data-driven approaches for spatio-temporal analysis: A survey of the state-of-the-arts
With the advancement of telecommunications, sensor networks, crowd sourcing, and remote
sensing technology in present days, there has been a tremendous growth in the volume of …
sensing technology in present days, there has been a tremendous growth in the volume of …
Mobile phone data analysis: A spatial exploration toward hotspot detection
The percentage of processed large-scale heterogeneous data is exploding and technology
is the most obvious reason for the big data issue. Nowadays, the results of data expansion …
is the most obvious reason for the big data issue. Nowadays, the results of data expansion …
Three-phased clustered topology formation for Aeronautical Ad-Hoc Networks
Abstract In-Flight Internet Connectivity (IFC) has become one of the crucial needs of
passengers with technological improvements. The Aeronautical Ad-hoc Networks (AANETs) …
passengers with technological improvements. The Aeronautical Ad-hoc Networks (AANETs) …
Monitoring policy-driven crop area adjustments in northeast China using Landsat-8 imagery
To keep pace with increasing demands for food, China is advancing robust policies on food
security, and policy-oriented adjustments in crop planting area are needed to strike a …
security, and policy-oriented adjustments in crop planting area are needed to strike a …
How to Evaluate and Remove the Weakened Bands in Hyperspectral Image Classification
H Zhang, X Han, J Deng, W Sun - IEEE Transactions on …, 2025 - ieeexplore.ieee.org
Hyperspectral image classification is mainly based on the spectral information of land
covers, but water vapor or Rayleigh scattering will weaken the surface reflectance under the …
covers, but water vapor or Rayleigh scattering will weaken the surface reflectance under the …
Measuring Moran's I in a cost-efficient manner to describe a land-cover change pattern in large-scale remote sensing imagery
Detection and analysis of a land-cover change pattern from remotely sensed imagery have
gained increasing research interests in recent years. A number of spatial statistics and …
gained increasing research interests in recent years. A number of spatial statistics and …
Entropic spatial auto-correlation of voter uncertainty and voter transitions in parliamentary elections
O El Deeb - Physica A: Statistical Mechanics and its Applications, 2023 - Elsevier
This paper studies a novel spatial auto-correlation model of voter uncertainty across districts.
We use the Moran I index to measure the auto-correlation of Shannon, relative Shannon …
We use the Moran I index to measure the auto-correlation of Shannon, relative Shannon …
South east common sky initiative free route airspace-implementation aftermath
In a short period since South-East Axis Free Route Airspace (SEAFRA) and Slovenian
Austrian Cross-Border Free Route Airspace (SAXFRA) were established, during 2018 these …
Austrian Cross-Border Free Route Airspace (SAXFRA) were established, during 2018 these …