Impact of STARFM on crop yield predictions: fusing MODIS with Landsat 5, 7, and 8 NDVIs in Bavaria Germany
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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Online-Ressource
- Language
-
Englisch
- Bibliographic citation
-
In: Remote Sensing (2023) 15:6, 1651. https://doi.org/10.3390/rs15061651
- Event
-
Veröffentlichung
- (where)
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Würzburg
- (who)
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Universität Würzburg
- (when)
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2024
- Creator
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Dhillon, Maninder Singh
Dahms, Thorsten
Kübert-Flock, Carina
Liepa, Adomas
Rummler, Thomas
Arnault, Joel
Steffan-Dewenter, Ingolf
Ullmann, Tobias
- DOI
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10.3390/rs15061651
- URN
-
urn:nbn:de:bvb:20-opus-311092
- Rights
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
15.08.2025, 7:25 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Dhillon, Maninder Singh
- Dahms, Thorsten
- Kübert-Flock, Carina
- Liepa, Adomas
- Rummler, Thomas
- Arnault, Joel
- Steffan-Dewenter, Ingolf
- Ullmann, Tobias
- Universität Würzburg
Time of origin
- 2024
Other Objects (12)
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Impact of STARFM on crop yield predictions: fusing MODIS with Landsat 5, 7, and 8 NDVIs in Bavaria Germany
Evaluation of MODIS, landsat 8 and sentinel-2 data for accurate crop yield predictions: a case study using STARFM NDVI in Bavaria, Germany
Evaluation of MODIS, Landsat 8 and Sentinel-2 data for accurate crop yield predictions: a case study using STARFM NDVI in Bavaria, Germany
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APPLICATION OF SIMPLIFIED SURFACE ENERGY BALANCE INDEX (S-SEBI) FOR CROP EVAPOTRANSPIRATION USING LANDSAT 8
DISCRIMINATION OF SUGARCANE CROP AND CANE YIELD ESTIMATION USING LANDSAT AND IRS RESOURCESAT SATELLITE DATA
Spatiotemporal Fusion Modelling Using STARFM: Examples of Landsat 8 and Sentinel-2 NDVI in Bavaria
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Ladies of Landsat
SUPPORT VECTOR MACHINE CLASSIFICATION OF OBJECT-BASED DATA FOR CROP MAPPING, USING MULTI-TEMPORAL LANDSAT IMAGERY
Impact of STARFM on crop yield predictions: fusing MODIS with Landsat 5, 7, and 8 NDVIs in Bavaria Germany
Evaluation of MODIS, landsat 8 and sentinel-2 data for accurate crop yield predictions: a case study using STARFM NDVI in Bavaria, Germany
Evaluation of MODIS, Landsat 8 and Sentinel-2 data for accurate crop yield predictions: a case study using STARFM NDVI in Bavaria, Germany
Re-fusing nature/nurture
Fusing rule and process mining
APPLICATION OF SIMPLIFIED SURFACE ENERGY BALANCE INDEX (S-SEBI) FOR CROP EVAPOTRANSPIRATION USING LANDSAT 8
DISCRIMINATION OF SUGARCANE CROP AND CANE YIELD ESTIMATION USING LANDSAT AND IRS RESOURCESAT SATELLITE DATA
Spatiotemporal Fusion Modelling Using STARFM: Examples of Landsat 8 and Sentinel-2 NDVI in Bavaria
Glasverschmelzung : eine Anleitung zum Glas Fusing
Browiak / Borowiak ? verehel. Fusing, Lerkadia / Leokadia ?
Ladies of Landsat