Geometric accuracy assessment of coarse-resolution satellite datasets: a study based on AVHRR GAC data at the sub-pixel level
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
Online-Ressource
- Language
-
Englisch
- Bibliographic citation
-
Geometric accuracy assessment of coarse-resolution satellite datasets: a study based on AVHRR GAC data at the sub-pixel level ; volume:12 ; number:1 ; year:2020 ; pages:539-553
Earth system science data ; 12, Heft 1 (2020), 539-553
- Creator
-
Wu, Xiaodan
Naegeli, Kathrin
Wunderle, Stefan
- DOI
-
10.5194/essd-12-539-2020
- URN
-
urn:nbn:de:101:1-2020031204533974791182
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
14.08.2025, 10:57 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
- Wu, Xiaodan
- Naegeli, Kathrin
- Wunderle, Stefan
Other Objects (12)
Coarse geometric kernels for networks embedding
Publisher Correction: Coarse geometric kernels for networks embedding
Poincaré profiles of Lie groups and a coarse geometric dichotomy
Geometric accuracy assessment of global coarse resolution satellite data sets: a study based on AVHRR GAC data at the subpixel level
Benchmarking passive microwave satellite derived freeze/thaw datasets
High-precision scanning transmission electron microscopy at coarse pixel sampling for reduced electron dose
DETECTION OF GEOMETRIC KEYPOINTS AND ITS APPLICATION TO POINT CLOUD COARSE REGISTRATION
THE MOST COMMON GEOMETRIC AND SEMANTIC ERRORS IN CITYGML DATASETS
A dynamic approach for evaluating coarse scale satellite soil moisture products
Traceable imaging spectrometer calibration and transformation of geometric and spectral pixel properties
Spatially and temporally continuous LAI datasets based on the mixed pixel decomposition method
Adaptive neighborhood triplet loss: enhanced segmentation of dermoscopy datasets by mining pixel information
Coarse geometric kernels for networks embedding
Publisher Correction: Coarse geometric kernels for networks embedding
Poincaré profiles of Lie groups and a coarse geometric dichotomy
Geometric accuracy assessment of global coarse resolution satellite data sets: a study based on AVHRR GAC data at the subpixel level
Benchmarking passive microwave satellite derived freeze/thaw datasets
High-precision scanning transmission electron microscopy at coarse pixel sampling for reduced electron dose
DETECTION OF GEOMETRIC KEYPOINTS AND ITS APPLICATION TO POINT CLOUD COARSE REGISTRATION
THE MOST COMMON GEOMETRIC AND SEMANTIC ERRORS IN CITYGML DATASETS
A dynamic approach for evaluating coarse scale satellite soil moisture products
Traceable imaging spectrometer calibration and transformation of geometric and spectral pixel properties
Spatially and temporally continuous LAI datasets based on the mixed pixel decomposition method
Adaptive neighborhood triplet loss: enhanced segmentation of dermoscopy datasets by mining pixel information
Coarse geometric kernels for networks embedding
Publisher Correction: Coarse geometric kernels for networks embedding
Poincaré profiles of Lie groups and a coarse geometric dichotomy
Geometric accuracy assessment of global coarse resolution satellite data sets: a study based on AVHRR GAC data at the subpixel level
Benchmarking passive microwave satellite derived freeze/thaw datasets
High-precision scanning transmission electron microscopy at coarse pixel sampling for reduced electron dose
DETECTION OF GEOMETRIC KEYPOINTS AND ITS APPLICATION TO POINT CLOUD COARSE REGISTRATION
THE MOST COMMON GEOMETRIC AND SEMANTIC ERRORS IN CITYGML DATASETS
A dynamic approach for evaluating coarse scale satellite soil moisture products
Traceable imaging spectrometer calibration and transformation of geometric and spectral pixel properties
Spatially and temporally continuous LAI datasets based on the mixed pixel decomposition method