Image de couverture de livre

Unified Deep Learning Model for Global Prediction of Aboveground Biomass, Canopy Height and Cover from High-Resolution, Multi-Sensor Satellite Imagery

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Weber, Manuel, Beneke, Carly, Wheeler, Clyde
Format:	Preprint
Publié:	2024
Sujets:	Computer Vision and Pattern Recognition Artificial Intelligence Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

PyViT-FUSE: A Foundation Model for Multi-Sensor Earth Observation Data
par: Weber, Manuel, et autres
Publié: (2025)

Towards High-Resolution Alignment and Super-Resolution of Multi-Sensor Satellite Imagery
par: Shin, Philip Wootaek, et autres
Publié: (2025)

HyBiomass: Global Hyperspectral Imagery Benchmark Dataset for Evaluating Geospatial Foundation Models in Forest Aboveground Biomass Estimation
par: Banze, Aaron, et autres
Publié: (2025)

Coverage Biases in High-Resolution Satellite Imagery
par: Musienko, Vadim, et autres
Publié: (2025)

PrediTree: A Multi-Temporal Sub-meter Dataset of Multi-Spectral Imagery Aligned With Canopy Height Maps
par: Debary, Hiyam, et autres
Publié: (2025)

Depth Any Canopy: Leveraging Depth Foundation Models for Canopy Height Estimation
par: Cambrin, Daniele Rege, et autres
Publié: (2024)

TEMPO: Global Temporal Building Density and Height Estimation from Satellite Imagery
par: Glazer, Tammy, et autres
Publié: (2025)

CHMv2: Improvements in Global Canopy Height Mapping using DINOv3
par: Brandt, John, et autres
Publié: (2026)

Comparing Deep Learning Models for Rice Mapping in Bhutan Using High Resolution Satellite Imagery
par: Bhandari, Biplov, et autres
Publié: (2024)

Estimating Canopy Height at Scale
par: Pauls, Jan, et autres
Publié: (2024)

An Atmospheric Correction Integrated LULC Segmentation Model for High-Resolution Satellite Imagery
par: Mukherjee, Soham, et autres
Publié: (2024)

Building Height Estimation Using Shadow Length in Satellite Imagery
par: Qureshi, Mahd, et autres
Publié: (2024)

Bootstrapping Rare Object Detection in High-Resolution Satellite Imagery
par: Zaytar, Akram, et autres
Publié: (2024)

A Novel Large Vision Foundation Model (LVFM)-based Approach for Generating High-Resolution Canopy Height Maps in Plantations for Precision Forestry Management
par: Tan, Shen, et autres
Publié: (2025)

Spatially Aware Deep Learning for Microclimate Prediction from High-Resolution Geospatial Imagery
par: Sulami, Idan, et autres
Publié: (2026)

Learning to Predict Aboveground Biomass from RGB Images with 3D Synthetic Scenes
par: Zuffi, Silvia
Publié: (2025)

A High Resolution Urban and Rural Settlement Map of Africa Using Deep Learning and Satellite Imagery
par: Kakooei, Mohammad, et autres
Publié: (2024)

Mask-to-Height: A YOLOv11-Based Architecture for Joint Building Instance Segmentation and Height Classification from Satellite Imagery
par: Hussieni, Mahmoud El, et autres
Publié: (2025)

Combining Transformers and CNNs for Efficient Object Detection in High-Resolution Satellite Imagery
par: Drapier, Nicolas, et autres
Publié: (2025)

Reverse Refinement Network for Narrow Rural Road Detection in High-Resolution Satellite Imagery
par: Wang, Ningjing, et autres
Publié: (2024)

Can Location Embeddings Enhance Super-Resolution of Satellite Imagery?
par: Panangian, Daniel, et autres
Publié: (2025)

Crowd Detection Using Very-Fine-Resolution Satellite Imagery
par: Xiao, Tong, et autres
Publié: (2025)

ECHOSAT: Estimating Canopy Height Over Space And Time
par: Pauls, Jan, et autres
Publié: (2026)

Harnessing Deep Learning and Satellite Imagery for Post-Buyout Land Cover Mapping
par: Otal, Hakan T., et autres
Publié: (2024)

Canopy Tree Height Estimation Using Quantile Regression: Modeling and Evaluating Uncertainty in Remote Sensing
par: Schrödter, Karsten, et autres
Publié: (2026)

MAgSeg: Segmentation of Agricultural Landscapes in High-Resolution Satellite Imagery using Multimodal Large Language Models
par: Tiwary, Piyush, et autres
Publié: (2026)

SERA-H: Beyond Native Sentinel Spatial Limits for High-Resolution Canopy Height Mapping
par: Boudras, Thomas, et autres
Publié: (2025)

Semantic Segmentation in Satellite Hyperspectral Imagery by Deep Learning
par: Justo, Jon Alvarez, et autres
Publié: (2023)

Evaluating the Label Efficiency of Contrastive Self-Supervised Learning for Multi-Resolution Satellite Imagery
par: Bourcier, Jules, et autres
Publié: (2022)

Delineate Anything: Resolution-Agnostic Field Boundary Delineation on Satellite Imagery
par: Lavreniuk, Mykola, et autres
Publié: (2025)

Deep Learning for Pavement Condition Evaluation Using Satellite Imagery
par: Lebaku, Prathyush Kumar Reddy, et autres
Publié: (2025)

Improving Satellite Imagery Masking using Multi-task and Transfer Learning
par: Daroya, Rangel, et autres
Publié: (2024)

Cross-Scale Pretraining: Enhancing Self-Supervised Learning for Low-Resolution Satellite Imagery for Semantic Segmentation
par: Waithaka, John, et autres
Publié: (2026)

Diachronic Stereo Matching for Multi-Date Satellite Imagery
par: Masquil, Elías, et autres
Publié: (2026)

Automatic Detection of Dark Ship-to-Ship Transfers using Deep Learning and Satellite Imagery
par: Ballinger, Ollie
Publié: (2024)

Open-Canopy: Towards Very High Resolution Forest Monitoring
par: Fogel, Fajwel, et autres
Publié: (2024)

Capturing Temporal Dynamics in Large-Scale Canopy Tree Height Estimation
par: Pauls, Jan, et autres
Publié: (2025)

LC-SLab -- An Object-based Deep Learning Framework for Large-scale Land Cover Classification from Satellite Imagery and Sparse In-situ Labels
par: Leonhardt, Johannes, et autres
Publié: (2025)

Scalable Dynamic Origin-Destination Demand Estimation Enhanced by High-Resolution Satellite Imagery Data
par: Liu, Jiachao, et autres
Publié: (2025)

Rethinking Transformers Pre-training for Multi-Spectral Satellite Imagery
par: Noman, Mubashir, et autres
Publié: (2024)