Potential for artificial intelligence (AI) and machine learning (ML) applications in biodiversity conservation, managing forests, and related services in India

KN Shivaprakash, N Swami, S Mysorekar, R Arora… - Sustainability, 2022 - mdpi.com
The recent advancement in data science coupled with the revolution in digital and satellite
technology has improved the potential for artificial intelligence (AI) applications in the …

From forest to finished products: The contribution of Industry 4.0 technologies to the wood sector

M Molinaro, G Orzes - Computers in Industry, 2022 - Elsevier
This study offers a Systematic Literature Review of the main applications of Industry 4.0
technologies in the wood sector, from forest management and raw materials production to …

Estimation of forest above-ground biomass by geographically weighted regression and machine learning with sentinel imagery

L Chen, C Ren, B Zhang, Z Wang, Y Xi - Forests, 2018 - mdpi.com
Accurate forest above-ground biomass (AGB) is crucial for sustaining forest management
and mitigating climate change to support REDD+ (reducing emissions from deforestation …

Integrating Sentinel-1 and 2 with LiDAR data to estimate aboveground biomass of subtropical forests in northeast Guangdong, China

L Zhang, X Zhang, Z Shao, W Jiang… - International Journal of …, 2023 - Taylor & Francis
Accurate monitoring of forest aboveground biomass (AGB) is vital for sustainable forest
management. Generally, the AGB is estimated by combining satellite images and field …

Retail property price index forecasting through neural networks

X Xu, Y Zhang - Journal of Real Estate Portfolio Management, 2023 - Taylor & Francis
Rapid growth has been seen in the Chinese housing market during the past decade, and
housing price forecasts have become more significant to investors and policy makers. In this …

[HTML][HTML] Satellite based integrated approaches to modelling spatial carbon stock and carbon sequestration potential of different land uses of Northeast India

R Bordoloi, B Das, OP Tripathi, UK Sahoo… - Environmental and …, 2022 - Elsevier
The study aims to estimate and predict the aboveground biomass, carbon stock and carbon
sequestration potential of different land uses of Northeast India and relate these estimates …

The process-based forest growth model 3-PG for use in forest management: A review

R Gupta, LK Sharma - Ecological Modelling, 2019 - Elsevier
Forests are a critical resource, and need proper management in the face of dire climatic
changes facing the world today. Advances in modelling system result in the formulation of …

Coupling multi-sensory earth observation datasets, in-situ measurements, and machine learning algorithms for total blue C stock estimation of an estuarine mangrove …

D Datta, M Dey, PK Ghosh, S Neogy, AK Roy - Forest Ecology and …, 2023 - Elsevier
In recent years, research on blue carbon (C) has garnered substantial attention worldwide.
Nevertheless, we observed a lack of holistic approach, in terms of measurement of total blue …

Employing artificial neural network for effective biomass prediction: An alternative approach

ŞT Güner, MJ Diamantopoulou, KP Poudel… - … and Electronics in …, 2022 - Elsevier
Wood products and energy production originating from harnessing the tree biomass require
optimizing the forest management process so as to ensure the sustainability of the forest …

Aboveground biomass estimation of wetland vegetation at the species level using unoccupied aerial vehicle RGB imagery

R Zhou, C Yang, E Li, X Cai, X Wang - Frontiers in Plant Science, 2023 - frontiersin.org
Wetland vegetation biomass is an essential indicator of wetland health, and its estimation
has become an active area of research. Zizania latifolia (Z. latifolia) is the dominant species …