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High-resolution sensors and deep learning models for tree resource monitoring
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 …
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
Droughts of increasing severity and frequency are a primary cause of forest mortality
associated with climate change. Yet, fundamental knowledge gaps regarding the complex …
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
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 …
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
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 …
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
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 …
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
Monitoring complex and dynamic land systems such as tropical agroforests using remote
sensing presents a significant challenge in ecological research. Traditional map** …
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
Olive tree orchards are suffering from wildfires in many Mediterranean countries. Following a
wildfire event, identifying damaged olive trees is crucial for develo** effective …
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 …
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
Airborne pollen triggers allergic reactions which result in public health consequences. A
better understanding of flowering and pollen phenology could improve airborne pollen …
better understanding of flowering and pollen phenology could improve airborne pollen …