Zobrazeno 1 - 10
of 1 501
pro vyhledávání: '"Crop type"'
Autor:
Solomon W. Newete, Khaled Abutaleb, George J Chirima, Katarzyna Dabrowska-Zielinska, Radoslaw Gurdak
Publikováno v:
Egyptian Journal of Remote Sensing and Space Sciences, Vol 27, Iss 4, Pp 695-704 (2024)
Wheat is one of the most important staple crops consumed by more than four billion people in the world. However, its production is challenged by the impact of climate change which accounts for a 5.5 % reduction in wheat yield and it is predicted to d
Externí odkaz:
https://doaj.org/article/c1ce7c941cbb4cfd95e6ca65ef4f90df
Publikováno v:
Heliyon, Vol 10, Iss 16, Pp e36350- (2024)
This study presents a comprehensive framework for analyzing water productivity products provided by the FAO Water Productivity Open-access portal (WaPOR), focusing on various crops cultivated in both rainfed and irrigated areas within a semi-arid bas
Externí odkaz:
https://doaj.org/article/30ec243906b644e8a0ae3dc5279be337
Autor:
Gerald Blasch, Yoseph Alemayehu, Louise Lesne, Jolan Wolter, Matthieu Taymans, Tsegaab Tesfaye, Tamirat Negash, Mequanint Andulalem, Kitessa Gutu, Megersa Debela, Zerihun Eshetu, Kindie Tesfaye, Khondoker Mottaleb, Pierre Defourny, David P. Hodson
Publikováno v:
Data in Brief, Vol 54, Iss , Pp 110427- (2024)
Crop type observation is crucial for various environmental and agricultural remote sensing applications including land use and land cover mapping, crop growth monitoring, crop modelling, yield forecasting, disease surveillance, and climate modelling.
Externí odkaz:
https://doaj.org/article/f7ddfdd4690e41d68b9f7a22ffefc025
Autor:
Emad H. E. Yasin, Mahir M. Sharif, Mahadi Y. A. Yahia, Aladdin Y. Othman, Ashraf O. Ibrahim, Manal A. Kheiry, Mazin Musa
Publikováno v:
Journal of Degraded and Mining Lands Management, Vol 11, Iss 3, Pp 5997-6007 (2024)
Maintaining productive farmland necessitates precise crop mapping and identification. While satellite remote sensing makes it possible to generate such maps, there are still issues to resolve, such as how to choose input data and the best classifier
Externí odkaz:
https://doaj.org/article/c9e7de0f7222421890a8d803700aa5e7
Publikováno v:
International Journal of Digital Earth, Vol 17, Iss 1 (2024)
In rainfed and dryland agricultural areas with smallholder farms (less than 2 ha), crop diversity is high due to farmers' decisions and local climatic conditions, leading to a complex spatial–temporal distribution of crops. Monitoring and mapping c
Externí odkaz:
https://doaj.org/article/3a3fd2b0e0d14533afea1aa0d0f5bfa8
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 134, Iss , Pp 104159- (2024)
The process of crop type mapping generates land use maps, which serve as critical tools for efficient evaluation of production factors and impacts of agricultural practice. Yet, despite the necessity for comprehensive solutions in space and time, the
Externí odkaz:
https://doaj.org/article/e04b103be30c4732bd5621ac5028f942
Autor:
Bahare Delsous Khaki, Mansour Chatrenour, Mir Naser Navidi, Masoud Soleimani, Saham Mirzaei, Stefano Pignatti
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 14777-14789 (2024)
Optimal use of agricultural land leads to increased productivity and paves the way for sustainable agriculture. The land suitability assessment (LSA) is known as the basic scientific solution in this regard and has been widely used. This study takes
Externí odkaz:
https://doaj.org/article/e05fd390d225402397a7be9b5d9e811c
Publikováno v:
Agriculture, Vol 14, Iss 9, p 1511 (2024)
Remote sensing image classification usually needs many labeled samples so that the target nature can be fully described. For synthetic aperture radar (SAR) images, variations of the target scattering always happen to some extent due to the imaging ge
Externí odkaz:
https://doaj.org/article/62a8877d73c94b1e9c99e7b8957f3758
Autor:
Fernando Orduna-Cabrera, Marcial Sandoval-Gastelum, Ian McCallum, Linda See, Steffen Fritz, Santosh Karanam, Tobias Sturn, Valeria Javalera-Rincon, Felix F. Gonzalez-Navarro
Publikováno v:
Geographies, Vol 3, Iss 3, Pp 563-573 (2023)
The creation of crop type maps from satellite data has proven challenging and is often impeded by a lack of accurate in situ data. Street-level imagery represents a new potential source of in situ data that may aid crop type mapping, but it requires
Externí odkaz:
https://doaj.org/article/7155e01a18e64c0d87e573ab5e43c917
Autor:
Murali Krishna Gumma, Pranay Panjala, Sunil K. Dubey, Deepak K. Ray, C. S. Murthy, Dakshina Murthy Kadiyala, Ismail Mohammed, Yamano Takashi
Publikováno v:
Remote Sensing, Vol 16, Iss 15, p 2733 (2024)
A cropping system practice is the sequential cultivation of crops in different crop seasons of a year. Cropping system practices determine the land productivity and sustainability of agriculture in regions and, therefore, information on cropping syst
Externí odkaz:
https://doaj.org/article/3b9b6819814d47c4891d95e8a3f4edfd