Characterization of portuguese sown rainfed grasslands using remote sensing and machine learning-Reference-Cited by-同舟云学术

Characterization of portuguese sown rainfed grasslands using remote sensing and machine learning

Published:2022-07-27 Issue:1 Volume:24 Page:161-186
ISSN:1385-2256
Container-title:Precision Agriculture
language:en
Short-container-title:Precision Agric

Author:

Morais Tiago G.^ORCID,Jongen Marjan,Tufik Camila,Rodrigues Nuno R.,Gama Ivo,Fangueiro David,Serrano João,Vieira Susana,Domingos Tiago,Teixeira Ricardo F.M.

Funder

fundação para a ciência e a tecnologia

ministério da ciência, tecnologia e ensino superior

Publisher

Springer Science and Business Media LLC

Subject

General Agricultural and Biological Sciences

Link

https://link.springer.com/content/pdf/10.1007/s11119-022-09937-9.pdf

Reference70 articles.

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2. Ali, I., Cawkwell, F., Dwyer, E., Barrett, B., & Green, S. (2016). Satellite remote sensing of grasslands: from observation to management. Journal of Plant Ecology, 9(6), 649–671. https://doi.org/10.1093/jpe/rtw005

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4. Askari, M. S., McCarthy, T., Magee, A., & Murphy, D. J. (2019). Evaluation of Grass Quality under Different Soil Management Scenarios Using Remote Sensing Techniques. Remote Sensing, 11(15), 1835. https://doi.org/10.3390/rs11151835

5. Badreldin, N., Prieto, B., & Fisher, R. (2021). Remote sensing Mapping Grasslands in Mixed Grassland Ecoregion of Saskatchewan Using Big Remote Sensing Data and Machine Learning. Remote Sensing, 13(24), 4972. https://doi.org/10.3390/rs13244972

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