An integrated hierarchical classification and machine learning approach for mapping land use and land cover in complex social-ecological systems

Autor: Gordon O. Ojwang, Joseph O. Ogutu, Mohammed Y. Said, Merceline A. Ojwala, Shem C. Kifugo, Francesca Verones, Bente J. Graae, Robert Buitenwerf, Han Olff

Publikováno v: Frontiers in Remote Sensing, Vol 4 (2024)

Mapping land use and land cover (LULC) using remote sensing is fundamental to environmental monitoring, spatial planning and characterising drivers of change in landscapes. We develop a new, general and versatile approach for mapping LULC in landscap

Externí odkaz: https://doaj.org/article/081c8f4edf4f41c191a3d1c82ccd832f

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Extracting multilayer networks from Sentinel-2 satellite image time series

Autor: Danny Lo Seen, Giuseppe Scarpa, Raffaele Gaetano, Roberto Interdonato, Mathieu Roche

Publikováno v: Network Science
Network Science, Cambridge University Press, 2020, 8 (S1), pp.S26-S42. ⟨10.1017/nws.2019.58⟩

Nowadays, modern Earth Observation systems continuously generate huge amounts of data. A notable example is the Sentinel-2 Earth Observation mission, developed by the European Space Agency as part of the Copernicus Programme, which supplies images fr

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9bc2e973a996d0ba84ee325d1249409a
http://hdl.handle.net/11588/814001

Digital soil mapping and its implications in the extrapolation of soil-landscape relationships in detailed scale

Autor: Douglas Rodrigo Kaiser, Mario Sergio Wolski, Jean Michel Moura-Bueno, Alexandre ten Caten, Carlos Alberto Flores, Ricardo Simão Diniz Dalmolin

Publikováno v: Pesquisa Agropecuária Brasileira, Volume: 52, Issue: 8, Pages: 633-642, Published: AUG 2017
Pesquisa Agropecuária Brasileira, Vol 52, Iss 8, Pp 633-642 (2017)
Pesquisa Agropecuária Brasileira v.52 n.8 2017
Pesquisa Agropecuária Brasileira
Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron:EMBRAPA

The objective of this work was to test the extrapolation of soil-landscape relationships in a reference area (RA) to a topographic map (scale 1:50,000), using digital soil mapping (DSM), and to compare these results to those obtained in similar studi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e23f2b01cd4ff3af11462da093f7e1e0
https://doi.org/10.1590/s0100-204x2017000800009

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