Enhancing the predictive performance of remote sensing for ecological variables of tidal flats using encoded features from a deep learning model-Reference-Cited by-同舟云学术

Enhancing the predictive performance of remote sensing for ecological variables of tidal flats using encoded features from a deep learning model

Published:2023-01-03 Issue:1 Volume:60 Page:
ISSN:1548-1603
Container-title:GIScience & Remote Sensing
language:en
Short-container-title:GIScience & Remote Sensing

Author:

Madhuanand Logambal¹^ORCID,Philippart Catharina J. M.¹²^ORCID,Wang Jiong¹³,Nijland Wiebe¹^ORCID,de Jong Steven M.¹^ORCID,Bijleveld Allert I.²^ORCID,Addink Elisabeth A.¹^ORCID

Affiliation:

1. Department of Physical Geography, Utrecht University, Utrecht, Netherlands

2. Department of Coastal Systems, NIOZ Royal Netherlands Institute for Sea Research, Texel, Netherlands

3. Geo-Information Science and Earth Observation (ITC), University of Twente, Enschede, Netherlands

Funder

nederlandse organisatie voor wetenschappelijk onderzoek

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/15481603.2022.2163048

Reference62 articles.

1. Remote Sensing Intertidal Flats with TerraSAR-X. A SAR Perspective of the Structural Elements of a Tidal Basin for Monitoring the Wadden Sea

2. Deep Learning Using Rectified Linear Units (ReLu);Agarap A. F.;ArXiv,2018

3. The contribution of sand and mud to infilling of tidal basins in response to a closure dam

4. Connecting foraging and roosting areas reveals how food stocks explain shorebird numbers

5. Learning Deep Architectures for AI

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