Remote Sensing and LiDAR Applications

An AI-based and coding-free integration for forest Leaf Area Index calculation

This paper introduces a coding-free AI method for improving leaf area index (LAI) calculation from hemispherical images, showing higher consistency and reliability compared to existing tools.

Evaluation of LiDAR-based Canopy Trait Estimation in Midwestern Row Crops

This study evaluates LiDAR's ability to estimate canopy traits in corn and soybean, finding comparable LAI quality in corn but poor performance in soybean due to dense canopies, and accurate stand count in corn with faster data collection.

Reconstructing coniferous tree crown shape from incomplete point clouds using deep learning

This paper develops a deep learning method to reconstruct coniferous tree crown shapes from incomplete point clouds, improving accuracy in structural metrics.

Small Area Estimation of Forest Volume Using Mixed Effects Random Forests and Multi-Source Remote Sensing Data

This paper compares two methods for estimating forest volume in small areas using remote sensing data, finding that Mixed-Effects Random Forests provide more accurate and stable predictions than Empirical Best Predictor.

A 0.6-meter resolution canopy height model for the contiguous United States

The paper develops NAIP-CHM, a high-resolution canopy height model using NAIP imagery and a U-Net model, achieving high accuracy for ecosystem monitoring.

High-resolution three-dimensional mapping of eelgrass (Zostera marina) habitat and blue carbon using drone-borne LiDAR

This study uses drone-borne LiDAR to quantify eelgrass habitat volume and carbon storage in a Norwegian bay, demonstrating its potential for high-resolution marine habitat monitoring.

Modelling forest dynamics using integral projection models (IPMs) and repeat LiDAR

The paper integrates repeat LiDAR data with Integral Projection Models (IPMs) to model forest dynamics, revealing distinct growth responses of eucalypt trees to environmental factors.

Tracking savanna vegetation structure in South Africa by extension of GEDI canopy metrics with Landsat, Sentinel-2, and PALSAR

This study extends GEDI canopy metrics to large-scale savanna monitoring using Landsat, Sentinel-2, and PALSAR data to track vegetation structure changes in South Africa.

Fast and Reliable: Evaluating Smartphone LiDAR App for Stem Diameter Measurement and Tree Mapping

This paper evaluates a smartphone LiDAR app for measuring tree stem diameter and mapping, finding it efficient and accurate with minor software limitations.

Reliability of canopy photography for forest ecology and biodiversity studies

This study evaluates canopy photography techniques to assess forest structure and understory plant diversity, finding hemispherical photography better captures forest type differences and leaf clumping influences species distribution.

Canopy height model and NAIP imagery pairs across CONUS

The paper creates a large dataset of canopy height models paired with aerial imagery to improve large-scale CHM production.

Tracking tree demography and forest dynamics at scale using remote sensing

The paper tracks tree growth, crown expansion, and mortality over nine years using remote sensing in Western Australia, finding size, competition, and topography influence demographic rates.