Zobrazeno 1 - 10
of 1 398
pro vyhledávání: '"Sebal"'
Publikováno v:
Applied Water Science, Vol 14, Iss 9, Pp 1-21 (2024)
Abstract Accurate estimation of ET is vital for water resource management. In recent decades, researchers have focused on utilizing satellite imagery for this purpose. The use of RS data has enabled the development of new models that provide detailed
Externí odkaz:
https://doaj.org/article/bae338caddb944d0b36aa1b4dfe1b996
Publikováno v:
Aqua, Vol 73, Iss 3, Pp 407-423 (2024)
The study demonstrates how to estimate evapotranspiration (ET) for the Western Rajasthan region of India utilizing remotely sensed images with the Surface Energy Balance Algorithm for Land (SEBAL). Landsat 8 and Moderate Resolution Imaging Spectrorad
Externí odkaz:
https://doaj.org/article/ff5d97e389db4479a4981c241b9bf994
Publikováno v:
Open Agriculture, Vol 8, Iss 1, Pp 3-14 (2023)
Remote sensing (RS) can efficiently support the quantification of crop water requirements and water productivity (WP) for evaluating the performance of agricultural production systems and provides relevant feedback for management. This research aimed
Externí odkaz:
https://doaj.org/article/9223a1380a6c4a3f86b8d2b42d495239
Autor:
Mehdi Komasi, Soroush Sharghi
Publikováno v:
Water Supply, Vol 23, Iss 9, Pp 3694-3714 (2023)
This paper investigated how the meta-heuristic models can be used to facilitate the estimation of evapotranspiration (ET) images. Focusing on estimating daily ET directly from received images of the electromagnetic bands of Landsat 8 satellite utiliz
Externí odkaz:
https://doaj.org/article/8209e937f84b40b5af77135ef340f548
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Publikováno v:
Remote Sensing, Vol 16, Iss 14, p 2676 (2024)
The increasing water demand and the disparities in the spatiotemporal distribution of water resources will lead to increasingly severe water shortages in arid areas. Accurate evapotranspiration estimation is the basis for evaluating water stress and
Externí odkaz:
https://doaj.org/article/b09cee9805c14804852b9747f0c9ac2a
Publikováno v:
Horticulturae, Vol 10, Iss 5, p 515 (2024)
Water scarcity is a critical abiotic stress factor for plants in arid and semi-arid regions, impacting crop development and production yield and quality. Monitoring water stress at finer scales (e.g., farm and plant), requires multispectral imagery w
Externí odkaz:
https://doaj.org/article/b36abb88de374782beeac202e2613c84
Publikováno v:
Proceedings, Vol 94, Iss 1, p 47 (2024)
The rational management of water, which is determined by the Framework Directive 2000/60/EC of the EU, is a contractual obligation of the Agricultural Sector of Cyprus, both towards the European Union and the next generations of Cypriot citizens. To
Externí odkaz:
https://doaj.org/article/cb4a7f0837da4164b6b1476bee313ba5
Autor:
Nursida Arif, Nasir Nayan
Publikováno v:
Journal of Tropical Soils, Vol 28, Iss 1, Pp 31-38 (2022)
This study examines the Land Surface Temperature (LST) using the Surface Energy Balance Algorithm for Land (SEBAL) model in Yogyakarta. SEBAL is relied upon for its accurate LST predictions because it takes into account the influence of vegetation an
Externí odkaz:
https://doaj.org/article/0cb6c14a082e45a08510e1ceeccd9a44
Autor:
Nasim Kamali, Bahman Farhadi Bansouleh
Publikováno v:
فناوریهای پیشرفته در بهرهوری آب, Vol 2, Iss 2, Pp 28-45 (2022)
Evapotranspiration (ET) is one of the most important parameters in agricultural water management which has spatial and temporal variations. Remote sensing-based algorithms of ET estimation have been applied in several studies. Using MODIS satellite i
Externí odkaz:
https://doaj.org/article/7e94a28283b74703911b3b039872f5a7