Data fusion approach for eucalyptus trees identification-Reference-Cited by-同舟云学术

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Data fusion approach for eucalyptus trees identification

Published:2021-03-02 Issue:11 Volume:42 Page:4087-4109
ISSN:0143-1161
Container-title:International Journal of Remote Sensing
language:en
Short-container-title:International Journal of Remote Sensing

Author:

Oliveira Diogo¹,Martins Leonardo¹^ORCID,Mora André¹,Damásio Carlos²,Caetano Mário³⁴,Fonseca José¹,Ribeiro Rita A.¹

Affiliation:

1. Faculdade De Ciências E Tecnologia, UNINOVA, Universidade Nova De Lisboa, Caparica, Portugal

2. Department of Informatics, Faculdade De Ciências E Tecnologia, Universidade Nova De Lisboa, Caparica, Portugal

3. DGT (Direção Geral Do Território), Lisboa, Portugal

4. NOVA Information Management School (NOVA IMS), Universidade Nova De Lisboa, Campus De Campolide, Lisbon, Portugal

Funder

“Fundação para a Ciência e a Tecnologia“

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/01431161.2021.1883198

Reference73 articles.

1. Landscape change and the urbanization process in Europe

2. Image fusion: Advances in the state of the art

3. Analysis of Image Classification Methods for Remote Sensing

4. Reflectance Properties of Soils

Cited by 11 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Constructing a eucalyptus identification model based on NDVI time-series remote sensing images;CATENA;2024-04

2. Automatic differentiation of Eucalyptus species through Sentinel-2 images, Worldview-3 images and LiDAR data;ISPRS Journal of Photogrammetry and Remote Sensing;2024-01

3. Order-Based Instance Mask for Tree Crown Recognition in Natural and Mixed Forests;2024

4. Eucalyptus Plantation Area Extraction Based on SLPSO-RFE Feature Selection and Multi-Temporal Sentinel-1/2 Data;Forests;2023-09-13

5. Mapping Eucalyptus plantation in Guangxi, China by using knowledge-based algorithms and PALSAR-2, Sentinel-2, and Landsat images in 2020;International Journal of Applied Earth Observation and Geoinformation;2023-06

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