Improved Mapping of Tropical Forests With Optical and SAR Imagery, Part I: Forest Cover and Accuracy Assessment Using Multi-Resolution Data-Reference-Cited by-同舟云学术

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Improved Mapping of Tropical Forests With Optical and SAR Imagery, Part I: Forest Cover and Accuracy Assessment Using Multi-Resolution Data

Published:2013-02 Issue:1 Volume:6 Page:74-91
ISSN:1939-1404
Container-title:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
language:
Short-container-title:IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

Author:

Hame Tuomas,Kilpi Jorma,Ahola Heikki A.,Rauste Yrjö,Antropov Oleg,Rautiainen Miina,Sirro Laura,Bounpone Sengthong

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Atmospheric Science,Computers in Earth Sciences

Link

http://xplorestaging.ieee.org/ielx7/4609443/6478786/06469180.pdf?arnumber=6469180

Cited by 18 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. Spatial pattern of forest aboveground biomass and its environmental influencing factors in Qinling-Daba Mountains, central China;Scientific Reports;2024-09-13

2. Forest Area and Structural Variable Estimation in Boreal Forest Using Suomi NPP VIIRS Data and a Sample from VHR Imagery;Remote Sensing;2023-06-09

3. Intercomparison of Earth Observation Data and Methods for Forest Mapping in the Context of Forest Carbon Monitoring;IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium;2022-07-17

4. Improved Semisupervised UNet Deep Learning Model for Forest Height Mapping With Satellite SAR and Optical Data;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2022

5. Demonstration of large area forest volume and primary production estimation approach based on Sentinel-2 imagery and process based ecosystem modelling;International Journal of Remote Sensing;2021-11-27

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