Comparison of multiple machine learning models for estimating the forest growing stock in large-scale forests using multi-source data

H Huang, D Wu, L Fang, X Zheng - Forests, 2022 - mdpi.com
The forest growing stock is one of the key indicators in monitoring forest resources, and its
quantitative estimation is of great significance. Based on multi-source data, including …

Flood monitoring by integrating normalized difference flood index and probability distribution of water bodies

F Xue, W Gao, C Yin, X Chen, Z Xia… - IEEE Journal of …, 2022 - ieeexplore.ieee.org
Climate change has caused an increase in the frequency of flood events. Rapid and
accurate flood mapping is essential for disaster monitoring and risk assessment. The …

Comparison of optical and SAR data for deforestation mapping in the Amazon rainforest with fully convolutional networks

MX Ortega, RQ Feitosa, JD Bermudez… - … and Remote Sensing …, 2021 - ieeexplore.ieee.org
Early detection of deforestation processes is vital to maintain and regulate tropical
rainforests, such as in the Amazon region. Most of them rely on optical imagery. Approaches …

[HTML][HTML] The illusion of success: Test set disproportion causes inflated accuracy in remote sensing mapping research

Y Xiao, Z Zhao, J Huang, R Huang, W Weng… - International Journal of …, 2024 - Elsevier
In remote sensing mapping studies, selecting an appropriate test set to accurately evaluate
the results is critical. An imprecise accuracy assessment can be misleading and fail to …

Combining recurrent and residual learning for deforestation monitoring using multitemporal SAR images

CN Neves, RQ Feitosa, MXO Adarme… - arXiv preprint arXiv …, 2023 - arxiv.org
With its vast expanse, exceeding that of Western Europe by twice, the Amazon rainforest
stands as the largest forest of the Earth, holding immense importance in global climate …

Avoiding invalid transitions in land cover trajectory classification with a compound maximum a posteriori approach

MS Reis, LV Dutra, MIS Escada, SJS Sant'anna - IEEE Access, 2020 - ieeexplore.ieee.org
Classifying remote sensing time-series in land cover trajectories can provide essential
information about ecosystems functioning and about the impacts of natural phenomena or …

Deep network based approaches to mitigate seasonal effects in SAR images for deforestation monitoring

CN Neves, MX Ortega Adarme… - ISPRS Annals of …, 2024 - isprs-annals.copernicus.org
Most deforestation monitoring programs are based on optical images, which are severely
affected by clouds, especially in tropical regions. As an alternative, Synthetic Aperture Radar …

Introducing a new local FCD model based on local adaptive thresholdingwith the aim of estimating forest canopy density over large areas

M Taefi Feijani, S Azadnejad - Scientific-Research Quarterly of …, 2020 - sepehr.org
Extended Abstract 1-Introduction The present study primarily sought to present a new FCD
model to eliminate two limitations of the initial FCD model. These limitations included the fact …

[PDF][PDF] ارائه مدلFCD محلی جدید مبتنی بر آستانه گذاری محلی به منظور برآورد تاج پوشش جنگل در مناطق بزرگ

طایفی فیجانی, مسعود, آزادنژاد - فصلنامه علمی-پژوهشی اطلاعات جغرافیایی « …, 2020‎ - sepehr.org
مدل نگارگر انبوهی تاج‌پوشش جنگلی (FCD) یکی از روش های مرسوم سنجش از دوری در ارزیابی
تراکم جنگل است. دو ضعف بزرگ این مدل عدم امکان پیاده سازی برای سنجنده های فاقد باند حرارتی و …