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sentinel2-canopy-height

This is a data repository for the paper "Estimating vegetation canopy height from intra-annual Sentinel-2 reflectance dynamics using a 3D convolutional neural network"
openaire   +1 more source

Experiment on extracting forest canopy height from Worldview-2

2011 Eighth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD), 2011
Taking advantage of rational polynomial coefficient (RPC) data delivered along with the very high resolution satellite (VHRS) Worldview-2 images, we proposed an easy RPC adjustment method for the commercial software ENVI to generate digital surface model (DSM) with only one ground control point (GCP). The DSM was then used to derive canopy crown height
Huaguo Huang, Biao Cao
openaire   +1 more source

Exploring Canopy Temperature and Height Dynamics in Forest Ecosystems

2023 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE), 2023
Riyaaz Uddien Shaik   +5 more
openaire   +1 more source

Investigating the Influence of GEDI Vegetation Penetration on Canopy Height Estimation

IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium
This paper evaluates GEDI's canopy height estimation accuracy in dense tropical forests located in Mayotte Island. It examines GEDI's ability to penetrate canopies and detect the ground, which is crucial for reliable estimates. The study tests the use of a single GEDI height metric (rh_95) in comparison with regression models using various GEDI metrics
Lahssini, Kamel   +4 more
openaire   +1 more source

High-resolution mapping of forest canopy height using machine learning by coupling ICESat-2 LiDAR with Sentinel-1, Sentinel-2 and Landsat-8 data

International Journal of Applied Earth Observation and Geoinformation, 2020
Wang Li, Zheng Niu, Rong Shang
exaly  

Forest canopy height variation in relation to topography and forest types in central Japan with LiDAR

Forest Ecology and Management, 2022
Md Farhadur Rahman   +2 more
exaly  

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