Forest Change Detection by Using Point Clouds From Dense Image Matching Together With a LiDAR-Derived Terrain Model-Reference-Cited by-同舟云学术

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Forest Change Detection by Using Point Clouds From Dense Image Matching Together With a LiDAR-Derived Terrain Model

Published:2017-03 Issue:3 Volume:10 Page:1197-1206
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:

Ali-Sisto Daniela,Packalen Petteri

Funder

Academy of Finland

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Atmospheric Science,Computers in Earth Sciences

Link

http://xplorestaging.ieee.org/ielx7/4609443/7862300/07636940.pdf?arnumber=7636940

Cited by 24 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. Feasibility of Low-Cost LiDAR Scanner Implementation in Forest Sampling Techniques;Forests;2023-03-30

2. Framework for near real-time forest inventory using multi source remote sensing data;Forestry: An International Journal of Forest Research;2022-05-04

3. To What Extent Can UAV Photogrammetry Replicate UAV LiDAR to Determine Forest Structure? A Test in Two Contrasting Tropical Forests;Journal of Geophysical Research: Biogeosciences;2021-12

4. Data Assimilation of Growing Stock Volume Using a Sequence of Remote Sensing Data from Different Sensors;Canadian Journal of Remote Sensing;2021-10-17

5. Identification of Silvicultural Practices in Mediterranean Forests Integrating Landsat Time Series and a Single Coverage of ALS Data;Remote Sensing;2021-09-10

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