Effect of intra-year Landsat scene availability in land cover land use classification in the conterminous United States using deep neural networks-Reference-Cited by-同舟云学术

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Effect of intra-year Landsat scene availability in land cover land use classification in the conterminous United States using deep neural networks

Published:2024-06 Issue: Volume:212 Page:164-180
ISSN:0924-2716
Container-title:ISPRS Journal of Photogrammetry and Remote Sensing
language:en
Short-container-title:ISPRS Journal of Photogrammetry and Remote Sensing

Author:

Mountrakis Giorgos^ORCID,Heydari Shahriar S.

Publisher

Elsevier BV

Reference33 articles.

1. Multi-Temporal Landsat Image Classification and Change Analysis of Land Cover in the Twin Cities (Minnesota) Metropolitan Area;Bauer,2004

2. Present and Future Köppen-Geiger Climate Classification Maps at 1-Km Resolution;Beck;Sci. Data,2018

3. Analysis and Applications of GlobeLand30: A Review;Chen;ISPRS Int. J. Geo Inf.,2017

4. Thick Clouds Removing From Multitemporal Landsat Images Using Spatiotemporal Neural Networks;Chen;IEEE Trans. Geosci. Remote Sens.,2022

5. Dewitz, Jon. 2000. “National Land Cover Database (NLCD) 1992 Land Cover Conterminous United States.” U.S. Geological Survey. DOI: 10.5066/P92G34R9.

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