A Systematic Review of the Application of Remote Sensing Technologies in Mapping Forest Insect Pests and Diseases at a Tree-Level.

M Mngadi, I Germishuizen, O Mutanga… - Remote Sensing …, 2024 - Elsevier
An increase in the frequency and severity of forest insect pest and disease (FIPD) outbreaks
has drastically affected the health and functioning of many forest stands worldwide. This has …

[HTML][HTML] Incorporating fire spread simulation and machine learning algorithms to estimate crown fire potential for pine forests in Sichuan, China

R Chen, B He, Y Li, Y Zhang, Z Liao, C Fan… - International Journal of …, 2024 - Elsevier
Accurate estimation of crown fire potential (CFP) can improve guidance on crown fire control
and management. However, robust simulations of crown fire behavior are still challenging …

Nitrogen nutritional diagnosis of summer maize (Zea mays L.) based on a hyperspectral data collaborative approach-evaluation of the estimation potential of three …

Z Tang, Y Cai, Y Xiang, J Lu, T Sun, H Shi, X Liu… - … and Electronics in …, 2025 - Elsevier
Assessing crop nitrogen nutrition is crucial for optimizing fertilization strategies and
promoting sustainable growth. Although hyperspectral data has distinct advantages in …

Above ground biomass estimation in the upper Blue Nile basin forests, North-Western Ethiopia

H Kerebeh, M Forkel, W Zewdie - Environmental Systems Research, 2024 - Springer
Forest ecosystems play a decisive role in the global climatic condition, as well as, provides a
wide range of societal benefits, including fuel-wood, tourism, and ecosystem services are …

[HTML][HTML] Unveiling soil coherence patterns along Etihad Rail using Sentinel-1 and Sentinel-2 data and machine learning in arid region

S Alyounis, DE Al Momani, FA Gafoor… - Remote Sensing …, 2024 - Elsevier
This research applies machine learning to predict soil coherence for Etihad Rail, marking
the first comprehensive study in the United Arab Emirates (UAE)'s arid regions. By …

Obtaining estimation algorithms for water quality variables in the Jaguari-Jacareí Reservoir using Sentinel-2 images

ZCM Camargo, X Sòria-Perpinyà, M Pompêo… - Remote Sensing …, 2024 - Elsevier
Satellite images are essential tools for monitoring aquatic ecosystems and assessing water
quality, as they enable the measurement of parameters such as chlorophyll-a (Chl-a) …

[HTML][HTML] Estimation of Damaged Regions by the Bark Beetle in a Mexican Forest Using UAV Images and Deep Learning

G Godinez-Garrido, JC Gonzalez-Islas… - Sustainability, 2024 - mdpi.com
Sustainable forestry for the management of forest resources is more important today than
ever before because keeping forests healthy has an impact on human health. Recent …

[HTML][HTML] Estimation of Leaf Area Index for Dendrocalamus giganteus Based on Multi-Source Remote Sensing Data

Z Qin, H Yang, Q Shu, J Yu, L Xu, M Wang, C Xia… - Forests, 2024 - mdpi.com
The Leaf Area Index (LAI) plays a crucial role in assessing the health of forest ecosystems.
This study utilized ICESat-2/ATLAS as the primary information source, integrating 51 …

UAV and satellite-based prediction of aboveground biomass in scots pine stands: a comparative analysis of regression and neural network approaches

H Aksoy, A Günlü - Earth Science Informatics, 2025 - Springer
Forest ecosystems play a vital role in balancing the global climate through functions such as
regulating carbon emissions, carbon sequestration, and energy and water cycles …

Continuous Leaf Area Index (LAI) Observation in Forests: Validation, Application, and Improvement of LAI-NOS

Z Gao, Y Chen, Z Zhang, T Duan, J Chen, A Li - Forests, 2024 - mdpi.com
The leaf area index (LAI) is one of the core parameters reflecting the growth status of
vegetation. The continuous long-term observation of the LAI is key when assessing the …