Logo Lanfrica

Comparative machine-learning retrieval of high-precision bathymetry from multispectral remote sensing: a case study of Manzala Lagoon, Egypt

Créateur:
HesMahHus
Éditeur:
Spr
Hôte:

Licenses

https://www.springernature.com/gp/researchers/text-and-data-mininghttps://www.springernature.com/gp/researchers/text-and-data-mining

Similaires

Machine-learning workflow for satellite-derived bathymetry in Lake Burullus and Lake Manzala

This software archive supports the study “Machine Learning–Based Satellite-Derived Bathymetry in Opt

Landcover classification and change detection using remote sensing and machine learning: a case study of Western Fiji

As a developing country, Fiji is facing rapid urbanisation, which is visible in the massive developm

Deep Learning–Based Bathymetry Mapping from Multispectral Satellite Data Around Europa Island

International audience Bathymetry studies are important to monitor the changes occurr

A Comparison of Accuracy and Precision in Remote Sensing Stone‐walled Structures with Google Earth, High Resolution Aerial Photography and LiDAR; a Case Study from the South African Iron Age

Abstract In the southern Gauteng Province of South Africa we have used Google Earth satellite image

Artificial Intelligence and Machine Learning in Precision Farming a Case Study of Nigeria: A Review

Precision farming leverages Artificial Intelligence (AI) and Machine Learning (ML) and has

Gold prospecting using Remote Sensing ‘A case study of Sudan’

Gold has been extracted from northeast Africa for more than 5000 years, and this may be the first pl