Biomass Modeling
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Related Articles from SNS
Biomazon: A Multimodal Dataset for 3D Forest Structure and Biomass Modeling in the Amazon Basin
Announce Type: new Abstract: Accurate, spatially explicit characterization of tropical forest structure is essential for carbon accounting and ecosystem monitoring, yet most ML pipelines predict canopy-top height proxies (e.g., RH95/RH98) or AGBD as separate scalar targets, rather than learning the forest vertical structure as an ordered profile. The community lacks a ML-ready multimodal benchmark for predicting the entire GEDI RH profile jointly with AGBD, or for evaluating methods that...
Deep learning reveals a stronger fossil fuel influence than biomass burning in shaping remote tropospheric ozone
arXiv:2606.09793v1 Announce Type: new Abstract: Tropospheric ozone (O3) is a key greenhouse gas and atmospheric oxidant, yet its sources in the remote troposphere remain strongly debated. Observation-based tracer analyses suggest that O3 attributed to biomass burning is much greater than that from fossil fuel sources (by a factor of ~2-10), contradicting state-of-the-art global models. Here we show that this discrepancy primarily arises from the strong sensitivity of tracer methods to...
Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration
arXiv:2605.00310v2 Announce Type: replace Abstract: Super-resolution (SR) techniques have made major advances in reconstructing high-resolution images from low-resolution inputs. The increased resolution provides visual enhancement and utility for monitoring tasks. In particular, SR has been increasingly developed for satellite-based Earth observation, with applications in urban planning, agriculture, ecology, and disaster response.
Sweet basil carbon dots show potential for sustainable agriculture
June 6, 2026 dialog Sweet basil carbon dots show potential for sustainable agriculture Sadie Harley Scientific Editor Robert Egan Associate Editor What if a common herb found in the kitchen could help farmers grow healthier crops? As the global population grows and agriculture faces increasing environmental challenges, scientists are searching for innovative ways to improve crop productivity while reducing reliance on chemical inputs. Nanotechnology has emerged as a potential solution.
Label-Efficient 3D Forest Mapping: Self-Supervised and Transfer Learning for Instance Segmentation, Semantic Segmentation, and Species Classification
arXiv:2511.06331v2 Announce Type: replace Abstract: Detailed structural and species information on individual tree level is increasingly important to support precision forestry, biodiversity conservation, and provide reference data for biomass and carbon mapping. Point clouds from airborne and ground-based laser scanning are currently the most suitable data source to rapidly derive such information at scale. Recent advancements in deep learning improved segmenting and classifying individual...
L Fucose Dependent Biofilm Formation by Escherichia coli Enhances Polymicrobial Interactions and Antibiotic Tolerance on Urinary Catheters
Urinary tract infections are common healthcare associated infections, a large subset of which are caused by indwelling catheters. Long term catheterization causes persistent, asymptomatic, polymicrobial colonization despite catheters changes and antibiotic usage. In these polymicrobial populations, P. mirabilis, E. faecalis, and E. coli were found as the most common co-colonizing species.
Plants could be used to grow medicines in space, study shows
Plants could be used to grow medicines in space, study shows Lisa Lock Scientific Editor Robert Egan Associate Editor Astronauts on long space missions may one day use plants to produce fresh stocks of medicines on demand, thanks to new research by engineers at the University of California San Diego. The team developed a simple method to grow and repeatedly harvest pharmaceuticals from plants under space-like conditions, without destroying the plants or generating large amounts of waste. The...
A Measurement-Driven Digital Twin Architecture for Plant-Level Biomass Estimation and Growth Forecasting in Hydroponic Systems
arXiv:2606.02796v1 Announce Type: new Abstract: Alternatives to soil-based horticulture, such as hydroponics, have been developed to respond to food distribution concerns for dense urban centers. A new system was developed to track an individual lettuce plant's growth in a hydroponic environment, utilizing streams of measured information and available models to continuously update the growth trajectory estimates for a plant. These "digital twin" models were integrated into an operating...
MicroGrowAgents: An Agentic AI System for Microbial Cultivation Engineering
Microbial cultivation optimization remains labor-intensive and inefficient, requiring extensive experimental screening to identify suitable growth conditions. Traditional one-factor-at-a-time approaches are particularly ineffective for exploring complex, multidimensional nutrient parameter spaces. We present MicroGrowAgents, an AI-driven, agent-based system that automates the design of optimized growth media through integration of knowledge graphs, metabolic modeling, and optimal...
How gene swapping helped build the planet's decomposers
How gene swapping helped build the planet's decomposers Sadie Harley Scientific Editor Alexander Pol Deputy Editor Decomposers are crucial for keeping Earth habitable, breaking down dead biomass and returning key nutrients, such as carbon, nitrogen and phosphorus, to the ecosystem. Most decomposers, including fungi, survive through osmotrophy—a means of feeding by absorbing dissolved nutrients rather than engulfing prey. But how this method of feeding repeatedly arose across the eukaryotic...