[HTML][HTML] Semantic segmentation of agricultural images: A survey

Z Luo, W Yang, Y Yuan, R Gou, X Li - Information Processing in Agriculture, 2023 - Elsevier
As an important research topic in recent years, semantic segmentation has been widely
applied to image understanding problems in various fields. With the successful application …

[HTML][HTML] TransU-Net++: Rethinking attention gated TransU-Net for deforestation mapping

A Jamali, SK Roy, J Li, P Ghamisi - International Journal of Applied Earth …, 2023 - Elsevier
Deforestation has become a major cause of climate change, and as a result, both
characterizing the drivers and estimating segmentation maps of deforestation have piqued …

[HTML][HTML] An attention-based U-Net for detecting deforestation within satellite sensor imagery

D John, C Zhang - International Journal of Applied Earth Observation and …, 2022 - Elsevier
In this paper, we implement and analyse an Attention U-Net deep network for semantic
segmentation using Sentinel-2 satellite sensor imagery, for the purpose of detecting …

[HTML][HTML] FCD-AttResU-Net: An improved forest change detection in Sentinel-2 satellite images using attention residual U-Net

K Kalinaki, OA Malik, DTC Lai - … Journal of Applied Earth Observation and …, 2023 - Elsevier
Abstract Forest Change Detection (FCD) is a critical component of natural resource
monitoring and conservation strategies, enabling informed decision-making. Various …

Spatial-temporal mapping of forest vegetation cover changes along highways in Brunei using deep learning techniques and Sentinel-2 images

K Kalinaki, OA Malik, DTC Lai, RS Sukri… - Ecological …, 2023 - Elsevier
Infrastructure development is a leading driver of forest cover loss in the tropics, resulting in a
significant decrease in biodiversity. With recent advancements in digital image processing …

Monitoring deforestation in Jordan using deep semantic segmentation with satellite imagery

A Alzu'bi, L Alsmadi - Ecological Informatics, 2022 - Elsevier
Jordan is witnessing major transformations in its environmental and topographic features,
where the desert dominates a large part of the territory, with very limited forest areas. Over …

[HTML][HTML] Large-scale burn severity mapping in multispectral imagery using deep semantic segmentation models

X Hu, P Zhang, Y Ban - ISPRS Journal of Photogrammetry and Remote …, 2023 - Elsevier
Nowadays Earth observation satellites provide forest fire authorities and resource managers
with spatial and comprehensive information for fire stabilization and recovery. Burn severity …

Deforestation detection using a spatio-temporal deep learning approach with synthetic aperture radar and multispectral images

JV Solórzano, JF Mas, JA Gallardo-Cruz, Y Gao… - ISPRS Journal of …, 2023 - Elsevier
Deforestation is a global change driver that contributes to atmospheric carbon emissions,
causes biodiversity loss and ecosystem services degradation. Usually, this process has …

Semi-FCMNet: Semi-supervised learning for forest cover mapping from satellite imagery via ensemble self-training and perturbation

B Chen, L Wang, X Fan, W Bo, X Yang, T Tjahjadi - Remote Sensing, 2023 - mdpi.com
Forest cover mapping is of paramount importance for environmental monitoring, biodiversity
assessment, and forest resource management. In the realm of forest cover mapping …

The accuracy of winter wheat identification at different growth stages using remote sensing

S Liu, D Peng, B Zhang, Z Chen, L Yu, J Chen, Y Pan… - Remote Sensing, 2022 - mdpi.com
The aim of this study was to explore the differences in the accuracy of winter wheat
identification using remote sensing data at different growth stages using the same methods …