Results 271 to 280 of about 7,087,292 (343)

The impact of land use land cover (LULC) change and climate variability on infiltration/runoff evolution in the Dar Es Salaam coastal floodplain. [PDF]

Sci Rep
De Filippi FM, Obe B, Giaccio F, Sweya LN, Mhina G, Kassenga G, Sappa G, Ricci L.   +7 more
europepmc   +1 more source

Bioclimatic and Land Use/Land Cover Factors as Determinants of Crabronidae (Hymenoptera) Community Structure in Yunnan, China. [PDF]

Insects
Bashir NH, Naeem M, Li Q, Chen H.
europepmc   +1 more source

Land use and land cover changes drive ecosystem services value in the Chinese county of Qianyang. [PDF]

Sci Rep
Shuangao W, Cabral P, Xu Y, Campos FS.
europepmc   +1 more source

Efficient large-scale land cover change detection using Google Earth Engine: Climate-driven vegetation dynamics in Asian drylands (2001-2022). [PDF]

PLoS One
Wu J, Wei S, Hao H, Chen M, Ismail S.
europepmc   +1 more source

Exploring land cover change after prolonged droughts at the global level. [PDF]

Sci Rep
Engman F, Kortekaas E, Brandimarte L, Mazzoleni M.   +3 more
europepmc   +1 more source

Cross-continental soil prokaryotic phenotypic traits driven by precipitation regime and land cover

Donhauser J, Han X, Doménech-Pascual A, Jordaan K, Casas-Ruiz J, Ramond J, Romaní A, Frossard A, Priemé A.   +8 more
europepmc   +1 more source

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Global land use / land cover with Sentinel 2 and deep learning

2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 2021
Land use/land cover (LULC) maps are foundational geospatial data products needed by analysts and decision makers across governments, civil society, industry, and finance to monitor global environmental change and measure risk to sustainable livelihoods ...
Krishna Karra, C. Kontgis, Zoe Statman-Weil, Joseph C. Mazzariello, M. Mathis, S. Brumby   +5 more
semanticscholar   +1 more source

What is Land Cover? [PDF]

Environment and Planning B: Planning and Design, 2005
Much geographic information is an interpretation of reality and it is possible for multiple interpretations to coexist. This is unproblematic for the research community but, as the numbers of users increase through initiatives resulting in data integration on an unprecedented scale, such as E-science and GRID, issues of information meaning and ...
Comber, Alexis J., Fisher, Peter F., Wadsworth, Richard A.   +2 more
openaire   +2 more sources

Extended Vision Transformer (ExViT) for Land Use and Land Cover Classification: A Multimodal Deep Learning Framework

IEEE Transactions on Geoscience and Remote Sensing, 2023
The recent success of attention mechanism-driven deep models, like vision transformer (ViT) as one of the most representatives, has intrigued a wave of advanced research to explore their adaptation to broader domains.
Jing Yao, Bing Zhang, Chenyu Li, D. Hong, J. Chanussot   +4 more
semanticscholar   +1 more source

Machine learning in modelling land-use and land cover-change (LULCC): Current status, challenges and prospects.

Science of the Total Environment, 2022
Land-use and land-cover change (LULCC) are of importance in natural resource management, environmental modelling and assessment, and agricultural production management.
Jun-Ye Wang, Michael Bretz, M. A. Dewan, M. A. Delavar   +3 more
semanticscholar   +1 more source