Automatic Detection of Impervious Surfaces from Remotely Sensed Data Using Deep Learning

Automatic Detection of Impervious Surfaces from Remotely Sensed Data Using Deep Learning

The large scale quantification of impervious surfaces provides valuable information for urban planning and socioeconomic development. Remote sensing and GIS techniques provide spatial and temporal information of land surfaces and are widely used for modeling impervious surfaces. Traditionally, these...

Full description

Bibliographic Details
Main Authors: Jash R. Parekh, Ate Poortinga, Biplov Bhandari, Timothy Mayer, David Saah, Farrukh Chishtie
Format: Article
Language:English
Published: MDPI AG 2021-08-01
Series:Remote Sensing
Subjects:
impervious surfaces
remote sensing
machine learning
deep learning
Google Earth Engine
Online Access:https://www.mdpi.com/2072-4292/13/16/3166

Internet

https://www.mdpi.com/2072-4292/13/16/3166

Similar Items