Application of deep learning in multitemporal remote sensing image classification

X Cheng, Y Sun, W Zhang, Y Wang, X Cao, Y Wang - Remote Sensing, 2023 - mdpi.com
The rapid advancement of remote sensing technology has significantly enhanced the
temporal resolution of remote sensing data. Multitemporal remote sensing image …

[HTML][HTML] Map** tree species proportions from satellite imagery using spectral–spatial deep learning

C Bolyn, P Lejeune, A Michez, N Latte - Remote sensing of environment, 2022 - Elsevier
Remote sensing can be used to collect information related to forest management. Previous
studies demonstrated the potential of using multispectral satellite imagery for classifying tree …

[HTML][HTML] A deep-learning-based tree species classification for natural secondary forests using unmanned aerial vehicle hyperspectral images and LiDAR

Y Ma, Y Zhao, J Im, Y Zhao, Z Zhen - Ecological Indicators, 2024 - Elsevier
Accurate tree species classification is essential for forest resource management and
biodiversity assessment. However, classifying tree species becomes challenging in natural …

Spruce bark beetle outbreak prediction through automatic classification of Sentinel-2 imagery

A Bozzini, S Francini, G Chirici, A Battisti, M Faccoli - Forests, 2023 - mdpi.com
Extreme weather events are increasing in frequency and intensity, posing a threat to forest
ecosystems and eliciting forest-pest outbreaks. In the southern Italian Alps, a dramatic …

Ormancılıkta makine öğrenmesi kullanımı

R Eker, KC Alkiş, Z Uçar, A Aydın - Turkish Journal of Forestry, 2023 - dergipark.org.tr
Gelişen teknolojiyle beraber diğer disiplinlerde olduğu gibi ormancılıkta da geleneksel
uygulamaların daha ekonomik, etkin, hızlı ve kolay yapılabilmesi için yenilikçi yaklaşımların …

Sentinel-2 poplar index for operational map** of poplar plantations over large areas

Y Hamrouni, E Paillassa, V Chéret, C Monteil… - Remote Sensing, 2022 - mdpi.com
Poplar (Populus spp.) is a fast-growing tree planted to meet the growing global demand for
wood products. In France, the country with the largest area planted with poplar in Europe …

Multi-seasonal evaluation of hybrid poplar (P. Deltoides) plantations using Worldview-3 imagery and state-of-the-art ensemble learning algorithms

I Colkesen, T Kavzoglu, A Atesoglu, H Tonbul… - Advances in Space …, 2023 - Elsevier
Forest resources are the primary components of the ecosystem environment. Poplars
(Populus sp.), a member of the fast-growing trees, are one of the most productive forest tree …

Map** fallow fields using Sentinel-1 and Sentinel-2 archives over farming-pastoral ecotone of Northern China with Google Earth Engine

D Wuyun, L Sun, Z Sun, Z Chen, A Hou… - GIScience & Remote …, 2022 - Taylor & Francis
The cropland in the farming-pastoral ecotone of Northern China is highly unstable owing to
environmental restoration projects, poor soil fertility, poverty, and rural labor loss, and it is …

A novel hybrid methodology integrating pixel-and object-based techniques for map** land use and land cover from high-resolution satellite data

MY Ozturk, I Colkesen - International Journal of Remote Sensing, 2024 - Taylor & Francis
The classification of very high-resolution satellite imagery remains a focal point in remote
sensing, attracting increased attention across diverse scientific disciplines. Various …

Characterizing forest cover and landscape pattern using multi-source remote sensing data with ensemble learning

Y Wang, H Liu, L Sang, J Wang - Remote Sensing, 2022 - mdpi.com
Accurate information on forest distribution is an essential basis for the protection of forest
resources. Recent advances in remote sensing and machine learning have contributed to …