Using Sentinel-2 and Stacking Regressors for Forest Height Estimation-Reference-Cited by-同舟云学术

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Using Sentinel-2 and Stacking Regressors for Forest Height Estimation

Published:2023-07-16 Issue: Volume: Page:
ISSN:
Container-title:IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium
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Author:

Pereira-Pires João E.¹,Silva João M. N.²,Mora André¹,Fonseca José M.¹

Affiliation:

1. NOVA University of Lisbon,Centre of Technology and Systems/UNINOVA, School of Science and Technology,Caparica,Portugal,2829-516

2. University of Lisbon,Forest Research Centre and Associate Laboratory TERRA, School of Agriculture,Lisbon,Portugal,1349-017

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10281394/10281399/10281979.pdf?arnumber=10281979

Reference12 articles.

1. Canopy Height Estimation in Mediterranean Forests of Spain With TanDEM-X Data

2. A Novel Multispectral, Panchromatic and SAR Data Fusion for Land Classification

3. Mapping the Forest Canopy Height in Northern China by Synergizing ICESat-2 with Sentinel-2 Using a Stacking Algorithm

4. Beyond Measurement: Extracting Vegetation Height from High Resolution Imagery with Deep Learning

5. Machine Learning Approaches for Estimating Forest Stand Height Using Plot-Based Observations and Airborne LiDAR Data

Cited by 1 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. Forest Height Estimation Using Sentinel-1/2 and ALOS-2;2023 8th Asia-Pacific Conference on Synthetic Aperture Radar (APSAR);2023-10-23

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