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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 …
temporal resolution of remote sensing data. Multitemporal remote sensing image …
[HTML][HTML] Map** tree species proportions from satellite imagery using spectral–spatial deep learning
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 …
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
Accurate tree species classification is essential for forest resource management and
biodiversity assessment. However, classifying tree species becomes challenging in natural …
biodiversity assessment. However, classifying tree species becomes challenging in natural …
Spruce bark beetle outbreak prediction through automatic classification of Sentinel-2 imagery
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 …
ecosystems and eliciting forest-pest outbreaks. In the southern Italian Alps, a dramatic …
Ormancılıkta makine öğrenmesi kullanımı
Gelişen teknolojiyle beraber diğer disiplinlerde olduğu gibi ormancılıkta da geleneksel
uygulamaların daha ekonomik, etkin, hızlı ve kolay yapılabilmesi için yenilikçi yaklaşımların …
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 …
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
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 …
(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
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 …
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
The classification of very high-resolution satellite imagery remains a focal point in remote
sensing, attracting increased attention across diverse scientific disciplines. Various …
sensing, attracting increased attention across diverse scientific disciplines. Various …
Characterizing forest cover and landscape pattern using multi-source remote sensing data with ensemble learning
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 …
resources. Recent advances in remote sensing and machine learning have contributed to …