Improving the spatiotemporal resolution of remotely sensed ET information for water management through Landsat, Sentinel-2, ECOSTRESS and VIIRS data fusion
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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1432-1319
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Anmerkungen
-
online resource.
- Erschienen in
-
Improving the spatiotemporal resolution of remotely sensed ET information for water management through Landsat, Sentinel-2, ECOSTRESS and VIIRS data fusion ; day:21 ; month:5 ; year:2022 ; pages:1-26
Irrigation science ; (21.5.2022), 1-26
- Urheber
-
Xue, Jie
Anderson, Martha C.
Gao, Feng
Hain, Christopher
Knipper, Kyle R.
Yang, Yun
Kustas, William P.
Yang, Yang
Bambach, Nicolas
McElrone, Andrew J.
Castro, Sebastian J.
Alfieri, Joseph G.
Prueger, John H.
McKee, Lynn G.
Hipps, Lawrence E.
Mar Alsina, María del
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1007/s00271-022-00799-7
- URN
-
urn:nbn:de:101:1-2022072523331196099957
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:39 MESZ
Datenpartner
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Beteiligte
- Xue, Jie
- Anderson, Martha C.
- Gao, Feng
- Hain, Christopher
- Knipper, Kyle R.
- Yang, Yun
- Kustas, William P.
- Yang, Yang
- Bambach, Nicolas
- McElrone, Andrew J.
- Castro, Sebastian J.
- Alfieri, Joseph G.
- Prueger, John H.
- McKee, Lynn G.
- Hipps, Lawrence E.
- Mar Alsina, María del
- SpringerLink (Online service)
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