Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Hazhir Bahrami"'
Publikováno v:
Canadian Journal of Remote Sensing, Vol 48, Iss 2, Pp 258-277 (2022)
Crop biophysical parameters, such as Leaf Area Index (LAI) and biomass, are essential for estimating crop productivity, yield modeling, and agronomic management. This study used several features extracted from multi-temporal Sentinel-1 Synthetic Aper
Externí odkaz:
https://doaj.org/article/83885dd6c6ee40b7906a19a62867e4fa
Publikováno v:
Remote Sensing, Vol 14, Iss 22, p 5633 (2022)
Climate change and population growth risk the world’s food supply. Annual crop yield production is one of the most crucial components of the global food supply. Moreover, the COVID-19 pandemic has stressed global food security, production, and supp
Externí odkaz:
https://doaj.org/article/9acd2469c0bf42f5820f1422911079fb
Autor:
Hazhir Bahrami, Saeid Homayouni, Abdolreza Safari, Sayeh Mirzaei, Masoud Mahdianpari, Omid Reisi-Gahrouei
Publikováno v:
Agronomy, Vol 11, Iss 7, p 1363 (2021)
Remote sensing data are considered as one of the primary data sources for precise agriculture. Several studies have demonstrated the excellent capability of radar and optical imagery for crop mapping and biophysical parameter estimation. This paper a
Externí odkaz:
https://doaj.org/article/85f535a9627940feb3676d542b71c73a
Publikováno v:
Canadian Journal of Remote Sensing. 48:258-277
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f3b05e0fefb97958a5ab062cc44fa579
https://doi.org/10.1080/07038992.2021.2011180
https://doi.org/10.1080/07038992.2021.2011180
Publikováno v:
Remote Sensing. 14:5633
Climate change and population growth risk the world’s food supply. Annual crop yield production is one of the most crucial components of the global food supply. Moreover, the COVID-19 pandemic has stressed global food security, production, and supp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c9b8ff4668d3f9801833bd98479798d6
https://doi.org/10.3390/rs14225633
https://doi.org/10.3390/rs14225633
Publikováno v:
IGARSS
Leaf Area Index (LAI) and biomass are the most critical biophysical parameters for crop monitoring. In this study, we used three ensemble-based methods, including Random Forest (RF), Gradient Boosting (GB), and Extreme Gradient Boosting (XGB), for cr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::25caa088dbdac172fe1e8f6184eeba81
https://doi.org/10.1109/igarss47720.2021.9555121
https://doi.org/10.1109/igarss47720.2021.9555121
Autor:
Omid Reisi-Gahrouei, Saeid Homayouni, Hazhir Bahrami, Abdolreza Safari, Masoud Mahdianpari, Sayeh Mirzaei
Publikováno v:
Agronomy, Vol 11, Iss 1363, p 1363 (2021)
Agronomy
Volume 11
Issue 7
Agronomy
Volume 11
Issue 7
Remote sensing data are considered as one of the primary data sources for precise agriculture. Several studies have demonstrated the excellent capability of radar and optical imagery for crop mapping and biophysical parameter estimation. This paper a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d6e3eb69af2f4e9d041db9b39a8bafaa
https://www.mdpi.com/2073-4395/11/7/1363
https://www.mdpi.com/2073-4395/11/7/1363
Publikováno v:
Journal of Applied Remote Sensing. 14
The dust storm is one of the severe natural disasters that has been recently threatening the Middle East region due to climate changes and human activities. This phenomenon has become a national crisis in some countries in this region in previous yea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2054d33fc7045d5552383f303b9764e3
https://doi.org/10.1117/1.jrs.14.034513
https://doi.org/10.1117/1.jrs.14.034513