Machine learning in space and time for modelling soil organic carbon change

Autor: Marcos Esteban Angelini, Johannes Lehmann, Jonathan Sanderman, Deborah A. Bossio, Laura Poggio, Niels H. Batjes, Rik van den Bosch, Sergio Estella, Guillermo Federico Olmedo, Gerard B. M. Heuvelink, Zhanguo Bai

Publikováno v: European Journal of Soil Science, 72(4), 1607-1623
European Journal of Soil Science : 1-17 (First published: 20 May 2020)
INTA Digital (INTA)
Instituto Nacional de Tecnología Agropecuaria
instacron:INTA
European Journal of Soil Science 72 (2021) 4
European Journal of Soil Science

Spatially resolved estimates of change in soil organic carbon (SOC) stocks are necessary for supporting national and international policies aimed at achieving land degradation neutrality and climate change mitigation. In this work we report on the de

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6feb6d5b31908c3a89f24b230600a0d1
https://research.wur.nl/en/publications/machine-learning-in-space-and-time-for-modelling-soil-organic-car

Vizzuality: Designing Purposeful Maps to Achieve SDGs

Autor: Jamie Gibson, Sergio Estella

Publikováno v: Lecture Notes in Geoinformation and Cartography ISBN: 9783319724331

The amount of data readily available for people to access has been increasing rapidly over the last decades, due to the cumulative effects of the open data movement, the huge growth of cheap cloud storage, and broader access to the internet through s

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::eebab843a54832232f7f970e32aa0844
https://doi.org/10.1007/978-3-319-72434-8_10