M3FNet: Multi-modal multi-temporal multi-scale data fusion network for tree species composition mapping

No abstract is available for this paper.

• Publication year

  2026

• Venue

  Isprs Journal of Photogrammetry and Remote Sensing

• Publication date

  2026-01-01

• Fields of study

  Not labeled

• Identifiers
  DOI 10.1016/j.isprsjprs.2025.11.026
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Enhanced forest inventories in Canada: implementation, status, and research needs

  2025cited by this paper
• PyramidMamba: Rethinking pyramid feature fusion with selective space state model for semantic segmentation of remote sensing imagery

  2025cited by this paper
• Vegetation classification in a subtropical region with Sentinel-2 time series data and deep learning

  2024cited by this paper
• Satellite remote sensing of vegetation phenology: Progress, challenges, and opportunities

  2024cited by this paper
• Predicting tree species composition using airborne laser scanning and multispectral data in boreal forests

  2024cited by this paper
• Estimating tree species composition from airborne laser scanning data using point-based deep learning models

  2024cited by this paper
• Early silvicultural intervention affects species dominance in efforts to restore pine-hardwood mixedwoods following stand-replacing disturbance

  2024cited by this paper
• Measuring forest health at stand level: A multi-indicator evaluation for use in adaptive management and policy

  2023cited by this paper
• A spectral-temporal constrained deep learning method for tree species mapping of plantation forests using time series Sentinel-2 imagery

  2023cited by this paper
• Mapping the presence and distribution of tree species in Canada's forested ecosystems

  2022cited by this paper
• Mapping Dominant Boreal Tree Species Groups by Combining Area-Based and Individual Tree Crown LiDAR Metrics with Sentinel-2 Data

  2022cited by this paper
• Mapping tree species proportions from satellite imagery using spectral–spatial deep learning

  2022cited by this paper
• Deep learning for forest inventory and planning: a critical review on the remote sensing approaches so far and prospects for further applications

  2022cited by this paper
• Combining LiDAR Metrics and Sentinel-2 Imagery to Estimate Basal Area and Wood Volume in Complex Forest Environment via Neural Networks

  2022cited by this paper
• The greater resilience of mixed forests to drought mainly depends on their composition: Analysis along a climate gradient across Europe

  2021cited by this paper
• Transfer Learning from Synthetic to Real LiDAR Point Cloud for Semantic Segmentation

  2021cited by this paper
• Mapping Mangrove Species Using Combined UAV-LiDAR and Sentinel-2 Data: Feature Selection and Point Density Effects

  2021cited by this paper
• OUP accepted manuscript

  2021cited by this paper
• Evaluating the capacity of single photon lidar for terrain characterization under a range of forest conditions

  2021cited by this paper
• Tree species diversity mapping using UAS-based digital aerial photogrammetry point clouds and multispectral imageries in a subtropical forest invaded by moso bamboo (Phyllostachys edulis)

  2021cited by this paper
• Single photon lidar signal attenuation under boreal forest conditions

  2021cited by this paper
• See the forest and the trees: Effective machine and deep learning algorithms for wood filtering and tree species classification from terrestrial laser scanning

  2020cited by this paper
• Cross-site learning in deep learning RGB tree crown detection

  2020cited by this paper
• A review of vegetation phenological metrics extraction using time-series, multispectral satellite data

  2020cited by this paper
• Continental-scale land surface phenology from harmonized Landsat 8 and Sentinel-2 imagery

  2020cited by this paper
• Chimera: A Multi-Task Recurrent Convolutional Neural Network for Forest Classification and Structural Estimation

  2019cited by this paper
• Tree Species Classification by Integrating Satellite Imagery and Topographic Variables Using Maximum Entropy Method in a Mongolian Forest

  2019cited by this paper
• Forest Variable Estimation Using a High Altitude Single Photon Lidar System

  2018cited by this paper
• How much does multi-temporal Sentinel-2 data improve crop type classification?

  2018cited by this paper
• Forest Change Detection in Incomplete Satellite Images With Deep Neural Networks

  2017cited by this paper
• Effect of forest stand management on species composition, structural diversity, and productivity in the temperate zone of Europe

  2017cited by this paper
• Sen2Cor for Sentinel-2

  2017cited by this paper
• Mass data processing of time series Landsat imagery: pixels to data products for forest monitoring

  2016cited by this paper
• Review of studies on tree species classification from remotely sensed data

  2016cited by this paper
• Locally Downscaled and Spatially Customizable Climate Data for Historical and Future Periods for North America

  2016cited by this paper
• Fusion of Airborne Discrete-Return LiDAR and Hyperspectral Data for Land Cover Classification

  2015cited by this paper
• ESA's sentinel missions in support of Earth system science

  2012cited by this paper
• Tree species classification in the Southern Alps based on the fusion of very high geometrical resolution multispectral/hyperspectral images and LiDAR data

  2012cited by this paper
• Boreal forests of eastern Canada revisited: old growth, nonfire disturbances, forest succession, and biodiversity

  2012cited by this paper
• Heterogeneous Data Fusion via Space Alignment Using Nonmetric Multidimensional Scaling

  2012cited by this paper
• ImageNet classification with deep convolutional neural networks

  2012cited by this paper
• Plant species identification using digital morphometrics: A review

  2012cited by this paper
• Seasonal Effect on Tree Species Classification in an Urban Environment Using Hyperspectral Data, LiDAR, and an Object-Oriented Approach

  2008cited by this paper
• Effects of spatial and spectral resolution in estimating ecosystem α-diversity by satellite imagery

  2007cited by this paper
• Leakiness: A new index for monitoring the health of arid and semiarid landscapes using remotely sensed vegetation cover and elevation data

  2007cited by this paper
• ISPRS Journal of Photogrammetry and Remote Sensing

  year unknowncited by this paper

• No citing papers are available for this paper.