Cargando…
Object based classification of a riparian environment using ultra-high resolution imagery, hierarchical landcover structures, and image texture
Land cover mapping is an important part of resource management, planning, and economic predictions. Improvements in remote sensing, machine learning, image processing, and object based image analysis (OBIA) has made the process of identifying land cover types increasingly faster and reliable but the...
Autores principales: | Kutz, Kain, Cook, Zachary, Linderman, Marc |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9253135/ https://www.ncbi.nlm.nih.gov/pubmed/35789170 http://dx.doi.org/10.1038/s41598-022-14757-y |
Ejemplares similares
-
Effect of sand mining on riparian landcover transformation in Dallung-Kukou catchment of the White Volta basin, Ghana
por: Nasare, Latif Iddrisu, et al.
Publicado: (2023) -
Learning-Based Near-Infrared Band Simulation with Applications on Large-Scale Landcover Classification
por: Yuan, Xiangtian, et al.
Publicado: (2023) -
Assessment of high spatial resolution satellite imagery for monitoring riparian vegetation: riverine management in the smallholding
por: Rivas-Fandiño, Paula, et al.
Publicado: (2022) -
Climate, pesticides, and landcover drive declines of the western bumble bee
por: Williams, Neal M., et al.
Publicado: (2023) -
Impacts of Climate Change on Native Landcover: Seeking Future Climatic Refuges
por: Zanin, Marina, et al.
Publicado: (2016)