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Anthropogenic land use and land cover changes—A review on its environmental consequences and climate change
The global demand for food and bioenergy changes associated with land use and land
cover change (LULCC) has raised concerns about the environment, global warming, and …
cover change (LULCC) has raised concerns about the environment, global warming, and …
Artificial Intelligence to Advance Earth Observation: A review of models, recent trends, and pathways forward
Earth observation (EO) is increasingly used for map** and monitoring processes
occurring at the surface of Earth. Data acquired by satellites nowadays allow us to have a …
occurring at the surface of Earth. Data acquired by satellites nowadays allow us to have a …
[HTML][HTML] A comparison between Pixel-based deep learning and Object-based image analysis (OBIA) for individual detection of cabbage plants based on UAV Visible …
Z Ye, K Yang, Y Lin, S Guo, Y Sun, X Chen… - … and Electronics in …, 2023 - Elsevier
It is challenging to accurately and rapidly extract crops based on the ultra-high spatial
resolution images of uncrewed aerial vehicle (UAV). Object-based image analysis (OBIA) …
resolution images of uncrewed aerial vehicle (UAV). Object-based image analysis (OBIA) …
[HTML][HTML] Advances in Earth observation and machine learning for quantifying blue carbon
Blue carbon ecosystems (mangroves, seagrasses and saltmarshes) are highly productive
coastal habitats, and are considered some of the most carbon-dense ecosystems on Earth …
coastal habitats, and are considered some of the most carbon-dense ecosystems on Earth …
[HTML][HTML] SSCNet: A spectrum-space collaborative network for semantic segmentation of remote sensing images
X Li, F Xu, X Yong, D Chen, R ** using deep learning based segmentation approaches and vhr worldview-3 images
Deep learning-based segmentation of very high-resolution (VHR) satellite images is a
significant task providing valuable information for various geospatial applications …
significant task providing valuable information for various geospatial applications …
A comprehensive review of the recent advancement in integrating deep learning with geographic information systems
A Raihan - Research Briefs on Information and Communication …, 2023 - rebicte.org
The integration of deep learning (DL) techniques with geographical information system (GIS)
offers a promising avenue for gaining novel insights into environmental phenomena by …
offers a promising avenue for gaining novel insights into environmental phenomena by …
[HTML][HTML] The eyes of the gods: A survey of unsupervised domain adaptation methods based on remote sensing data
With the rapid development of the remote sensing monitoring and computer vision
technology, the deep learning method has made a great progress to achieve applications …
technology, the deep learning method has made a great progress to achieve applications …
Geospatial-based machine learning techniques for land use and land cover map** using a high-resolution unmanned aerial vehicle image
Bangladesh is primarily an agricultural country where technological advancement in the
agricultural sector can ensure the acceleration of economic growth and ensure long-term …
agricultural sector can ensure the acceleration of economic growth and ensure long-term …
The human-elephant conflict in Sri Lanka: history and present status
Human-elephant conflict (HEC) is a severe conservation, socio-economic and
environmental issue of forests and ecosystems in elephant inhabiting countries, including …
environmental issue of forests and ecosystems in elephant inhabiting countries, including …