Estimation of the crop evapotranspiration for Udham Singh Nagar district using modified Priestley-Taylor model and Landsat imagery
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
1 Online-Ressource.
- Sprache
-
Englisch
- Erschienen in
-
Estimation of the crop evapotranspiration for Udham Singh Nagar district using modified Priestley-Taylor model and Landsat imagery ; volume:14 ; number:1 ; day:13 ; month:9 ; year:2024 ; pages:1-19 ; date:12.2024
Scientific reports ; 14, Heft 1 (13.9.2024), 1-19, 12.2024
- Urheber
-
Satpathi, Anurag
Danodia, Abhishek
Abed, Salwan Ali
Nain, Ajeet Singh
Al-Ansari, Nadhir
Ranjan, Rajeev
Vishwakarma, Dinesh Kumar
Gacem, Amel
Mansour, Lamjed
Yadav, Krishna Kumar
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1038/s41598-024-72299-x
- URN
-
urn:nbn:de:101:1-2411272114031.746790346861
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
2025-08-15T07:22:43+0200
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Satpathi, Anurag
- Danodia, Abhishek
- Abed, Salwan Ali
- Nain, Ajeet Singh
- Al-Ansari, Nadhir
- Ranjan, Rajeev
- Vishwakarma, Dinesh Kumar
- Gacem, Amel
- Mansour, Lamjed
- Yadav, Krishna Kumar
- SpringerLink (Online service)
Ähnliche Objekte (12)
Using the Priestley-Taylor expression for estimating actual evapotranspiration from satellite Landsat ETM + data
One-to-Many Registration of Landsat Imagery
Lall Singh. Juwaheer Singh. Lab Singh
Assessment of agricultural drought in Iraq employing Landsat and MODIS imagery
Mapping of total suspended solids using Landsat imagery and machine learning
A global forest burn severity dataset from Landsat imagery (2003–2016)
MAPPING AND CHANGE ANALYSIS IN MANGROVE FOREST BY USING LANDSAT IMAGERY
APPLICATION OF SIMPLIFIED SURFACE ENERGY BALANCE INDEX (S-SEBI) FOR CROP EVAPOTRANSPIRATION USING LANDSAT 8
Land surface temperature trends derived from Landsat imagery in the Swiss Alps
Estimating Bowen Index in urban environment based on Landsat 8/9 imagery
IRANIAN LAND COVER MAPPING USING LANDSAT-8 IMAGERY AND RANDOM FOREST ALGORITHM
HYDROPERIOD CLASSIFICATION OF CERVANTES COOLIMBA COASTAL WETLANDS USING LANDSAT TIME SERIES IMAGERY
Using the Priestley-Taylor expression for estimating actual evapotranspiration from satellite Landsat ETM + data
One-to-Many Registration of Landsat Imagery
Lall Singh. Juwaheer Singh. Lab Singh
Assessment of agricultural drought in Iraq employing Landsat and MODIS imagery
Mapping of total suspended solids using Landsat imagery and machine learning
A global forest burn severity dataset from Landsat imagery (2003–2016)
MAPPING AND CHANGE ANALYSIS IN MANGROVE FOREST BY USING LANDSAT IMAGERY
APPLICATION OF SIMPLIFIED SURFACE ENERGY BALANCE INDEX (S-SEBI) FOR CROP EVAPOTRANSPIRATION USING LANDSAT 8
Land surface temperature trends derived from Landsat imagery in the Swiss Alps
Estimating Bowen Index in urban environment based on Landsat 8/9 imagery
IRANIAN LAND COVER MAPPING USING LANDSAT-8 IMAGERY AND RANDOM FOREST ALGORITHM
HYDROPERIOD CLASSIFICATION OF CERVANTES COOLIMBA COASTAL WETLANDS USING LANDSAT TIME SERIES IMAGERY
Using the Priestley-Taylor expression for estimating actual evapotranspiration from satellite Landsat ETM + data
One-to-Many Registration of Landsat Imagery
Lall Singh. Juwaheer Singh. Lab Singh
Assessment of agricultural drought in Iraq employing Landsat and MODIS imagery
Mapping of total suspended solids using Landsat imagery and machine learning
A global forest burn severity dataset from Landsat imagery (2003–2016)
MAPPING AND CHANGE ANALYSIS IN MANGROVE FOREST BY USING LANDSAT IMAGERY
APPLICATION OF SIMPLIFIED SURFACE ENERGY BALANCE INDEX (S-SEBI) FOR CROP EVAPOTRANSPIRATION USING LANDSAT 8
Land surface temperature trends derived from Landsat imagery in the Swiss Alps
Estimating Bowen Index in urban environment based on Landsat 8/9 imagery
IRANIAN LAND COVER MAPPING USING LANDSAT-8 IMAGERY AND RANDOM FOREST ALGORITHM