Zobrazeno 1 - 10
of 43
pro vyhledávání: '"surface energy balance algorithm for land (SEBAL)"'
Publikováno v:
Remote Sensing, Vol 14, Iss 2, p 249 (2022)
The intensity of agricultural activities and the characteristics of water consumption affect the hydrological processes of inland river basins in Central Asia. The crop water requirements and water productivity are different between the Amu Darya and
Externí odkaz:
https://doaj.org/article/9403b8c6b0714d14a6a88a5ce9b18ce6
Akademický článek
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Autor:
Zhibin Liu, Yue Huang, Tie Liu, Junli Li, Wei Xing, Shamshodbek Akmalov, Jiabin Peng, Xiaohui Pan, Chenyu Guo, Yongchao Duan
Publikováno v:
Remote Sensing, Vol 12, Iss 14, p 2317 (2020)
Human activities are mainly responsible for the Aral Sea crisis, and excessive farmland expansion and unreasonable irrigation regimes are the main manifestations. The conflicting needs of agricultural water consumption and ecological water demand of
Externí odkaz:
https://doaj.org/article/f4f8d92fc3b74037b7f12fb6cd83a19e
Publikováno v:
Geosciences, Vol 5, Iss 2, Pp 141-159 (2015)
Increasing dependence on groundwater requires a detailed determination of the different outputs and inputs of a basin for better water management. Determination of spatial and temporal actual evapotranspiration (ETa), in this regard, is of vital impo
Externí odkaz:
https://doaj.org/article/3909be26073647b4a7100ee6c78b4ffe
Akademický článek
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Publikováno v:
ISPRS International Journal of Geo-Information, Vol 7, Iss 11, p 414 (2018)
Crop water productivity (CWP) has become a recognised indicator in assessing the state of Sustainable Development Goals (SDG) 6.4—to substantially increase water use efficiency. This indicator, while useful at a global scale, is not comprehensive a
Externí odkaz:
https://doaj.org/article/c47eda7e5fe540b49bc35e976a89ec17
Autor:
Carla Grosso, Gabriele Manoli, Marco Martello, Yann H. Chemin, Diego H. Pons, Pietro Teatini, Ilaria Piccoli, Francesco Morari
Publikováno v:
Remote Sensing, Vol 10, Iss 9, p 1452 (2018)
The surface energy balance algorithm for land (SEBAL) has been successfully applied to estimate evapotranspiration (ET) and yield at different spatial scales. However, ET and yield patterns have never been investigated under highly heterogeneous cond
Externí odkaz:
https://doaj.org/article/bcb69292d24e45969203e8909992357a
Publikováno v:
International Journal of Remote Sensing
International Journal of Remote Sensing, Taylor & Francis, 2019, Fifth International Symposium on Recent Advances in Quantitative Remote Sensing (RAQRS), 40 (5-6), pp.1909-1929. ⟨10.1080/01431161.2018.1479798⟩
International Journal of Remote Sensing, 2019, Fifth International Symposium on Recent Advances in Quantitative Remote Sensing (RAQRS), 40 (5-6), pp.1909-1929. ⟨10.1080/01431161.2018.1479798⟩
International Journal of Remote Sensing, Taylor & Francis, 2019, Fifth International Symposium on Recent Advances in Quantitative Remote Sensing (RAQRS), 40 (5-6), pp.1909-1929. ⟨10.1080/01431161.2018.1479798⟩
International Journal of Remote Sensing, 2019, Fifth International Symposium on Recent Advances in Quantitative Remote Sensing (RAQRS), 40 (5-6), pp.1909-1929. ⟨10.1080/01431161.2018.1479798⟩
International audience; The water consumption of green space in a large region is difficult to attain through traditional methods. In this article, a practical method is developed using different sources of remote-sensing data. The green space was fi
Akademický článek
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Autor:
Gabriele Manoli, Francesco Morari, Marco Martello, Carla Grosso, Diego H. Pons, Pietro Teatini, Yann Chemin, Ilaria Piccoli
Publikováno v:
Remote Sensing; Volume 10; Issue 9; Pages: 1452
Remote Sensing, 10 (9)
Remote Sensing, Vol 10, Iss 9, p 1452 (2018)
Remote Sensing, 10 (9)
Remote Sensing, Vol 10, Iss 9, p 1452 (2018)
The surface energy balance algorithm for land (SEBAL) has been successfully applied to estimate evapotranspiration (ET) and yield at different spatial scales. However, ET and yield patterns have never been investigated under highly heterogeneous cond
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::91abaad648f589a92ff2d8f856e249ad
http://hdl.handle.net/11577/3280038
http://hdl.handle.net/11577/3280038