AIMC Topic: Forests

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Forecasting deforestation and carbon loss across New Guinea using machine learning and cellular automata.

The Science of the total environment Mar 7, 2025
The island of New Guinea harbors some of the world's most biologically diverse and highly endemic tropical ecosystems. Nevertheless, progressing land-use change in the region threatens their integrity, which will adversely affect their biodiversity a...
Forecasting Ecosystem Environmental Monitoring Machine Learning Carbon Forests Conservation of Natural Resources New Guinea Papua New Guinea
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Remote sensing estimation of aboveground biomass of different forest types in Xinjiang based on machine learning.

Scientific reports Feb 20, 2025
Forest aboveground biomass (AGB) is a key indicator reflecting the function and quality of forest ecosystems, and accurate large-scale estimations of forest AGB are essential for effective forest ecosystem management. However, owing to limitations in...
Support Vector Machine Remote Sensing Technology Forests Biomass China Satellite Imagery Algorithms Ecosystem Machine Learning
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Capsule neural network and adapted golden search optimizer based forest fire and smoke detection.

Scientific reports Feb 4, 2025
Forest fires represent a major risk to both ecosystems and human health that rising frequency of it exacerbates global warming. This study introduces an innovative methodology for detecting forest fires and smoke using an enhanced capsule neural netw...
Neural Networks, Computer Algorithms Deep Learning Humans Wildfires Fires Forests Smoke
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Spatial prediction of forest fires in India: a machine learning approach for improved risk assessment and early warning systems.

Environmental science and pollution research international Feb 1, 2025
Forest fires pose a significant ecological and environmental threat globally, and India has seen a marked increase in both the frequency and severity of these events in recent years. This has led to extensive damage to natural resources, including fo...
Climate Change Risk Assessment India Forests Wildfires Fires Machine Learning
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The intuitionistic fuzzy linguistic assessment of forest soil quality with multi-granularity qualitative information.

Environmental monitoring and assessment Jan 31, 2025
The soil quality of forest land is directly related to the growth of forest trees and the local ecological environment. This paper proposes an intuitionistic fuzzy linguistic aggregation method for heterogeneous linguistic assessment information, to ...
Environmental Monitoring Fuzzy Logic Linguistics Forests Soil
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U3UNet: An accurate and reliable segmentation model for forest fire monitoring based on UAV vision.

Neural networks : the official journal of the International Neural Network Society Jan 30, 2025
Forest fires pose a serious threat to the global ecological environment, and the critical steps in reducing the impact of fires are fire warning and real-time monitoring. Traditional monitoring methods, like ground observation and satellite sensing, ...
Unmanned Aerial Devices Forests Wildfires Environmental Monitoring Neural Networks, Computer Algorithms Remote Sensing Technology Fires
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Combating trade in illegal wood and forest products with machine learning.

PloS one Jan 24, 2025
Trade in wood and forest products spans the global supply chain. Illegal logging and associated trade in forest products present a persistent threat to vulnerable ecosystems and communities. Illegal timber trade has been linked to violations of tax a...
Humans Crime Forestry Forests Machine Learning Conservation of Natural Resources Wood United States Commerce
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Spatio-temporal analysis of litterfall load in the lower reaches of Qarqan and Tarim rivers using BP neural networks.

Scientific reports Jan 7, 2025
Litterfall load is crucial in maintaining ecosystem health, controlling wildfires, and estimating carbon stock in arid regions. However, there is a lack of spatiotemporal analysis of litterfall in arid riparian forests. This study aims to estimate Li...
Forests Rivers Environmental Monitoring Plant Leaves Spatio-Temporal Analysis China Neural Networks, Computer Ecosystem
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Comparing statistical and deep learning approaches for simultaneous prediction of stand-level above- and belowground biomass in tropical forests.

The Science of the total environment Dec 5, 2024
Accurate and cost-effective prediction of aboveground biomass (AGB), belowground biomass (BGB), and the total (ABGB) at stand-level within tropical forests is crucial for effective forest ecological management and the provision of forest ecosystem se...
Trees Environmental Monitoring Biomass Tropical Climate Forests Deep Learning
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Multitemporal monitoring of forest indicator species using UAV and machine learning image recognition.

Environmental monitoring and assessment Dec 2, 2024
In natural restoration, it is important to improve the efficiency of monitoring. Remote sensing using unmanned aerial vehicle (UAV) platforms plays a major role in improving monitoring efficiency. UAV platforms are particularly suited for monitoring ...
Flowers Forests Environmental Monitoring Unmanned Aerial Devices Japan Rhododendron Machine Learning Remote Sensing Technology
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