Improving the spatiotemporal resolution of remotely sensed ET information for water management through Landsat, Sentinel-2, ECOSTRESS and VIIRS data fusion

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Location: Deutsche Nationalbibliothek Frankfurt am Main

ISSN: 1432-1319

Extent: Online-Ressource

Language: Englisch

Notes: online resource.

Bibliographic citation: 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

Creator: 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

Contributor: SpringerLink (Online service)

DOI: 10.1007/s00271-022-00799-7

URN: urn:nbn:de:101:1-2022072523331196099957

Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 15.08.2025, 7:39 AM CEST

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Associated

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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Improving the spatiotemporal resolution of remotely sensed ET information for water management through Landsat, Sentinel-2, ECOSTRESS and VIIRS data fusion

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Other Objects (12)

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