Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Mohammadreza Sheykhmousa"'
Autor:
Tomislav Hengl, Matthew A. E. Miller, Josip Križan, Keith D. Shepherd, Andrew Sila, Milan Kilibarda, Ognjen Antonijević, Luka Glušica, Achim Dobermann, Stephan M. Haefele, Steve P. McGrath, Gifty E. Acquah, Jamie Collinson, Leandro Parente, Mohammadreza Sheykhmousa, Kazuki Saito, Jean-Martial Johnson, Jordan Chamberlin, Francis B. T. Silatsa, Martin Yemefack, John Wendt, Robert A. MacMillan, Ichsani Wheeler, Jonathan Crouch
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-18 (2021)
Abstract Soil property and class maps for the continent of Africa were so far only available at very generalised scales, with many countries not mapped at all. Thanks to an increasing quantity and availability of soil samples collected at field point
Externí odkaz:
https://doaj.org/article/99f484c0771a491480592db97c08eade
Autor:
Mohammadreza Sheykhmousa, Masoud Mahdianpari, Hamid Ghanbari, Fariba Mohammadimanesh, Pedram Ghamisi, Saeid Homayouni
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 13, Pp 6308-6325 (2020)
Several machine-learning algorithms have been proposed for remote sensing image classification during the past two decades. Among these machine learning algorithms, Random Forest (RF) and Support Vector Machines (SVM) have drawn attention to image cl
Externí odkaz:
https://doaj.org/article/8cfa189466d14ab4a2b9ae18db871f80
Publikováno v:
Remote Sensing, Vol 11, Iss 10, p 1174 (2019)
Post-disaster recovery (PDR) is a complex, long-lasting, resource intensive, and poorly understood process. PDR goes beyond physical reconstruction (physical recovery) and includes relevant processes such as economic and social (functional recovery)
Externí odkaz:
https://doaj.org/article/9e9508b876354841b153996d4d5fac1c
Autor:
Pedram Ghamisi, Masoud Mahdianpari, Mohammadreza Sheykhmousa, Hamid Ghanbari, Fariba Mohammadimanesh, Saeid Homayouni
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 13, Pp 6308-6325 (2020)
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 13(2020), 6308-6325
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 13(2020), 6308-6325
Several machine-learning algorithms have been proposed for remote sensing image classification during the past two decades. Among these machine learning algorithms, Random Forest (RF) and Support Vector Machines (SVM) have drawn attention to image cl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::da2cdcbddd1707fe155df332e1417048
https://doi.org/10.1109/jstars.2020.3026724
https://doi.org/10.1109/jstars.2020.3026724
Autor:
Matt Miller, Tomislav Hengl, Milan Kilibarda, John Wendt, Steve P. McGrath, Luka Glusica, Gifty E. Acquah, Andrew Sila, Stephan M. Haefele, Ognjen Antonijević, R. A. MacMillan, Ichsani Wheeler, Keith D. Shepherd, Jonathan Crouch, Leandro Parente, Martin Yemefack, Kazuki Saito, Achim Dobermann, Jordan Chamberlin, Francis B.T. Silatsa, Jamie Collinson, Josip Križan, Jean-Martial Johnson, Mohammadreza Sheykhmousa
Publikováno v:
Scientific Reports
Scientific Reports, Vol 11, Iss 1, Pp 1-18 (2021)
Scientific Reports, Vol 11, Iss 1, Pp 1-18 (2021)
Soil property and class maps for the continent of Africa were so far only available at very generalised scales, with many countries not mapped at all. Thanks to an increasing quantity and availability of soil samples collected at field point location
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::adf1eca56147612364016786c303d70d
https://doi.org/10.1038/s41598-021-85639-y
https://doi.org/10.1038/s41598-021-85639-y
Autor:
Tomislav Hengl, Matthew Miller, Josip Krizan, Keith Shepherd, Andrew Sila, Milan Kilibarda, Ognjen Antonijevic, Luka Glusica, Achim Dobermann, Stephan Haefele, Steve McGrath, Gifty Acquah, Jamie Collinson, Leandro Parente, Mohammadreza Sheykhmousa, Kazuki Saito, Jean-Martial Johnson, Jordan Chamberlin, Francis Silatsa, Martin Yemefack, Robert MacMillan, Ichsani Wheeler, Jonathan Crouch
Soil property and class maps for the continent of Africa were so far only available at very generalised scales, with many countries not mappedat all. Thanks to an increasing quantity and availability of soil samples collected at field point locations
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8ad7fcb1a860f931a46ebb821ed7af6d
https://doi.org/10.21203/rs.3.rs-120359/v1
https://doi.org/10.21203/rs.3.rs-120359/v1
