High-resolution sensors and deep learning models for tree resource monitoring

M Brandt, J Chave, S Li, R Fensholt, P Ciais… - Nature Reviews …, 2024 - nature.com
Trees contribute to carbon dioxide absorption through biomass, regulate the climate, support
biodiversity, enhance soil, air and water quality, and offer economic and health benefits …

Tree drought physiology: critical research questions and strategies for mitigating climate change effects on forests

A Groover, NM Holbrook, A Polle, A Sala… - New …, 2025 - Wiley Online Library
Droughts of increasing severity and frequency are a primary cause of forest mortality
associated with climate change. Yet, fundamental knowledge gaps regarding the complex …

Fractional cover map** of wildland-urban interface fuels using Landsat, Sentinel 1 and PALSAR imagery

L Collins, L Guindon, C Lloyd, SW Taylor… - Remote Sensing of …, 2024 - Elsevier
Fuels within the immediate vicinity of a house (eg, within 30–60 m), referred to as the 'home-
ignition zone', are important determinants of structure damage during wildfires. Methods for …

[PDF][PDF] Applications of Machine Learning and Remote Sensing in Soil and Water Conservation

YI Kim, WH Park, Y Shin, JW Park, B Engel, YJ Yun… - Hydrology, 2024 - preprints.org
The application of machine learning (ML) and remote sensing (RS) in soil and water
conservation has become a powerful tool. As analytical tools continue to advance, the …

[HTML][HTML] Canopy height estimation from PlanetScope time series with spatio-temporal deep learning

DJ Dixon, Y Zhu, Y ** - Remote Sensing of Environment, 2025 - Elsevier
Canopy height map** is critical for assessing forest structure, forest resilience, carbon
stocks, habitat, and biodiversity, all of which are threatened by changing climate and …

[HTML][HTML] Map** forest-agroforest frontiers in the Peruvian Amazon with deep learning and PlanetScope satellite data

W Yang, D Ortiz-Gonzalo, X Tong, D Gominski… - Ecological …, 2025 - Elsevier
Monitoring complex and dynamic land systems such as tropical agroforests using remote
sensing presents a significant challenge in ecological research. Traditional map** …

[HTML][HTML] Burned Olive Trees Identification with a Deep Learning Approach in Unmanned Aerial Vehicle Images

C Vasilakos, VS Verykios - Remote Sensing, 2024 - mdpi.com
Olive tree orchards are suffering from wildfires in many Mediterranean countries. Following a
wildfire event, identifying damaged olive trees is crucial for develo** effective …

[HTML][HTML] GDPGO-SAM: An Unsupervised Fine Segmentation of Desert Vegetation Driven by Grounding DINO Prompt Generation and Optimization Segment Anything …

S Hua, B Yang, X Zhang, J Qi, F Su, J Sun, Y Ruan - Remote Sensing, 2025 - mdpi.com
Desert encroachment significantly threatens the living and activity space of humanity, and
undertaking human-directed vegetation restoration is one of the effective ways to prevent …

First Map** the Canopy Height of Primeval Forests in the Tallest Tree Area of Asia

G Fan, F Yan, X Zeng, Q Xu, R Wang, B Zhang… - ar** is crucial for discovering more individual and community world …

Predicting reproductive phenology of wind-pollinated trees via PlanetScope time series

Y Song, DSW Katz, Z Zhu, C Beaulieu, K Zhu - bioRxiv, 2024 - biorxiv.org
Airborne pollen triggers allergic reactions which result in public health consequences. A
better understanding of flowering and pollen phenology could improve airborne pollen …