A method for improving winter wheat mapping accuracy based on multi-temporal feature fusion and stacking ensemble learning. [PDF]
Tao W +5 more
europepmc +1 more source
Data-efficient image transformer for landscape character classification and visual comfort prediction in Chinese hospitals. [PDF]
Li Y, Yue G, Mundher R, Abdulghani AM.
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Breeding habitat characteristics of Saunders's Gull (Saundersilarus saundersi) in the Liao River Estuary National Nature Reserve using MaxEnt. [PDF]
Yang L +8 more
europepmc +1 more source
Sinking city: A multidimensional dataset for urban and land subsidence modelling based on satellite imagery in Jakarta, Indonesia (2016-2024). [PDF]
Shabrina Z +4 more
europepmc +1 more source
Climate heterogeneity enhances macroclimate data-driven vegetation modeling on the Qinghai-Tibet Plateau. [PDF]
Guan Y +8 more
europepmc +1 more source
Visual Image Design Based on Multi-sensor Machine Learning for Monitoring Plateau Lake Dynamics and Pasture Change. [PDF]
Shen Y +8 more
europepmc +1 more source
Classification of the Mediterranean lowland to submontane pine forest vegetation
Aim: Vegetation types of Mediterranean thermophilous pine forests dominated by Pinus brutia, Pinus halepensis, Pinus pinaster and Pinus pinea were studied in various areas.
Alicia T R Acosta +2 more
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The repeatability of vegetation classification and mapping
Journal of Environmental Management, 2011The mapping of habitats as defined by plant communities is a common component of the planning and monitoring of conservation management. However, there are major concerns about the subjectivity and risk of observer bias in most commonly used plant community mapping protocols.
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Recent advances in conceptual frameworks in vegetation classifications, such as the EcoVeg approach that underpins the International Vegetation Classification (IVC) developed by NatureServe staff and colleagues, offer opportunities to enhance national classification initiatives.
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Classification of fruits and vegetables
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