Investigation of Potential Dust Sources Using Sentinel-1 and Neural Network: A Case Study From Bandar-E Emam-Omidiye

ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
doi 10.5194/isprs-archives-xlii-4-w18-623-2019
Full Text
Abstract

Available in full text

Date
Authors
Publisher

Copernicus GmbH

Related search

A Convolutional Neural Network for Flood Mapping Using Sentinel-1 and SRTM Dem Data: Case Study in Poldokhtar-Iran

ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
2019English

Crop Monitoring Using Sentinel-1 Data: A Case Study From the Netherlands

Remote Sensing
EarthPlanetary Sciences
2019English

A New Road Extraction Method Using Sentinel-1 SAR Images Based on the Deep Fully Convolutional Neural Network

European Journal of Remote Sensing
Applied MathematicsComputers in Earth SciencesAtmospheric ScienceEnvironmental Science
2019English

Monthly Rainfall Prediction Using Artificial Neural Network: A Case Study of Kano, Nigeria

Environmental and Earth Sciences Research Journal
2018English

Synergetic Monitoring of Saharan Dust Plumes and Potential Impact on Surface: A Case Study of Dust Transport From Canary Islands to Iberian Peninsula

Atmospheric Chemistry and Physics
Atmospheric Science
2011English

Cornell Potential: A Neural Network Approach

Advances in High Energy Physics
High Energy PhysicsNuclear
2019English

Urban Growth Modeling Using an Artificial Neural Network a Case Study of Sanandaj City, Iran

ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
2014English

Text Extraction and Recognition From Image Using Neural Network

International Journal of Computer Applications
2012English

Groundwater Potential Mapping Combining Artificial Neural Network and Real AdaBoost Ensemble Technique: The DakNong Province Case-Study, Vietnam

International Journal of Environmental Research and Public Health
MutagenesisPublic HealthEnvironmentalHealthToxicologyOccupational HealthPollution
2020English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy