Application of information technology to education in the age of the fourth industrial revolution

A Dudhat - International Transactions on Education …, 2023 - journal.pandawan.id
The purpose of this study is to clarify the readiness and challenges of learning information
technology, and the challenges of education in this fourth era in applying information …

Multi-mission satellite detection and tracking of October 2019 Sabiti oil spill in the Red sea

K Vankayalapati, HP Dasari, S Langodan, S El Mohtar… - Remote Sensing, 2022 - mdpi.com
A multi-mission satellite remote sensing (MSRS) approach is explored to detect and track
leaked oil from the Sabiti oil tanker accident that occurred in the central Red Sea on 11 …

In-Depth Monitoring of Anthropic Activities in the Puglia Region: What Is the Acceptable Compromise between Economic Activities and Environmental Protection?

MS Binetti, C Campanale, VF Uricchio, C Massarelli - Sustainability, 2023 - mdpi.com
In many countries in the world, the conservation of habitats is at risk mainly due to anthropic
pressures on the environment. A study was conducted to assess the extent to which …

Detection of Macroalgal Bloom from Sentinel− 1 Imagery

SJK Chowdhury, A Harun-Al-Rashid, CS Yang… - Remote Sensing, 2023 - mdpi.com
The macroalgal bloom (MAB) is caused by brown algae forming a floating mat. Most of its
parts stay below the water surface, unlike green algae; thus, its backscatter value becomes …

Integrating deep learning, satellite image processing, and spatial-temporal analysis for urban flood prediction

N Mohamadiazar, A Ebrahimian, H Hosseiny - Journal of Hydrology, 2024 - Elsevier
Urban flooding is escalating worldwide due to the increasing impervious surfaces from
urban developments and frequency of extreme rainfall events by climate change. Traditional …

Ensembles of multiple models for soil moisture retrieval from remote sensing data over agricultural areas: A deep learning-based framework

A Sedighi, S Hamzeh, SK Alavipanah, AA Naseri… - Remote Sensing …, 2024 - Elsevier
In agricultural areas, most surface soil moisture (SM) retrieval models are unstable in terms
of their accuracy and performance during crop growth. As a result, there is no consensus on …

Retrieving Surface and Rootzone Soil Moisture Using Microwave Remote Sensing

SK Thaggahalli Nagaraju, AA Pathak - Journal of the Indian Society of …, 2024 - Springer
Soil moisture is one of the least monitored of all the hydrologic variables. It is greatly
influenced by unpredictable and intermittent precipitation, varying evapotranspiration rates …

A deep learning framework to map riverbed sand mining budgets in large tropical deltas

S Kumar, E Park, DD Tran, J Wang… - GIScience & Remote …, 2024 - Taylor & Francis
Rapid urbanization has dramatically increased the demand for river sand, leading to soaring
sand extraction rates that often exceed natural replenishment in many rivers globally …

Flood Detection Using Variational Autoencoder in SAR Images

S Wangiyana - 2023 Signal Processing Symposium (SPSympo …, 2023 - ieeexplore.ieee.org
Monitoring large areas to detect unexpected changes is beneficial in disaster response
preparations, particularly when using a persistent information source such as Synthetic …

Exploitation des algorithmes d'apprentissage profond et des séries temporelles d'images satellitaires pour la prédiction de la déforestation

WR Moskolai - 2022 - theses.hal.science
Ces dernières années, nous assistons à une émergence des méthodes d'apprentissage
profond appelées Deep Learning en anglais (DL), qui ont favorisé d'énormes progrès dans …