- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
Online-Ressource
- Language
-
Englisch
- Bibliographic citation
-
DEVELOPMENT AND VALIDATION OF A NEW PASSIVE MICROWAVE BASED SOIL MOISTURE INDEX ; volume:V-3-2020 ; year:2020 ; pages:125-131
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences ; V-3-2020 (2020), 125-131
- Creator
-
Zeng, J.
Chen, K.-S.
Cui, C.
Bi, H.
- DOI
-
10.5194/isprs-annals-V-3-2020-125-2020
- URN
-
urn:nbn:de:101:1-2020080617515375224738
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
14.08.2025, 10:55 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
- Zeng, J.
- Chen, K.-S.
- Cui, C.
- Bi, H.
Other Objects (12)
A simple parameterisation for retrieving soil moisture from passive microwave data
Error characterisation of global active and passive microwave soil moisture datasets
Joint assimilation of soil moisture retrieved from multiple passive microwave frequencies increases robustness of soil moisture state estimation
Joint assimilation of soil moisture retrieved from multiple passive microwave frequencies increases robustness and quality of soil moisture state estimation
Soil moisture active and passive microwave products: intercomparison and evaluation over a Sahelian site
Detection of Moisture in the Soil Using Microwave
Microwave radiometric measurements of soil moisture in Italy
Developing an improved soil moisture dataset by blending passive and active microwave satellite-based retrievals
Statistical analysis and combination of active and passive microwave remote sensing methods for soil moisture retrieval
Statistical analysis and combination of active and passive microwave remote sensing methods for soil moisture retrieval
Coupling Normalization with Moving Window in Backpropagation Neural Network (BNN) for Passive Microwave Soil Moisture Retrieval
Space-based passive microwave soil moisture retrievals and the correction for a dynamic open water fraction
A simple parameterisation for retrieving soil moisture from passive microwave data
Error characterisation of global active and passive microwave soil moisture datasets
Joint assimilation of soil moisture retrieved from multiple passive microwave frequencies increases robustness of soil moisture state estimation
Joint assimilation of soil moisture retrieved from multiple passive microwave frequencies increases robustness and quality of soil moisture state estimation
Soil moisture active and passive microwave products: intercomparison and evaluation over a Sahelian site
Detection of Moisture in the Soil Using Microwave
Microwave radiometric measurements of soil moisture in Italy
Developing an improved soil moisture dataset by blending passive and active microwave satellite-based retrievals
Statistical analysis and combination of active and passive microwave remote sensing methods for soil moisture retrieval
Statistical analysis and combination of active and passive microwave remote sensing methods for soil moisture retrieval
Coupling Normalization with Moving Window in Backpropagation Neural Network (BNN) for Passive Microwave Soil Moisture Retrieval
Space-based passive microwave soil moisture retrievals and the correction for a dynamic open water fraction
A simple parameterisation for retrieving soil moisture from passive microwave data
Error characterisation of global active and passive microwave soil moisture datasets
Joint assimilation of soil moisture retrieved from multiple passive microwave frequencies increases robustness of soil moisture state estimation
Joint assimilation of soil moisture retrieved from multiple passive microwave frequencies increases robustness and quality of soil moisture state estimation
Soil moisture active and passive microwave products: intercomparison and evaluation over a Sahelian site
Detection of Moisture in the Soil Using Microwave
Microwave radiometric measurements of soil moisture in Italy
Developing an improved soil moisture dataset by blending passive and active microwave satellite-based retrievals
Statistical analysis and combination of active and passive microwave remote sensing methods for soil moisture retrieval
Statistical analysis and combination of active and passive microwave remote sensing methods for soil moisture retrieval
Coupling Normalization with Moving Window in Backpropagation Neural Network (BNN) for Passive Microwave Soil Moisture Retrieval