English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
Add to Basket
 DetailsSummary
  Trend-preserving blending of passive and active microwave soil moisture retrievals

Liu, Y. Y., Dorigo, W. A., Parinussa, R. M., de Jeu, R. A. M., Wagner, W., McCabe, M. F., et al. (2012). Trend-preserving blending of passive and active microwave soil moisture retrievals. Remote Sensing of Environment, 123, 280-297. doi:10.1016/j.rse.2012.03.014.

Item is

 

show all hide all

Basic

show hide
Item Permalink: https://hdl.handle.net/11858/00-001M-0000-0014-4B0E-8 Version Permalink: https://hdl.handle.net/11858/00-001M-0000-0014-75D7-D
Genre: Journal Article

Files

show Files
hide Files
:
BPR020.pdf (Publisher version), 7MB
 
File Permalink:
-
Name:
BPR020.pdf
Description:
-
OA-Status:
Visibility:
Restricted (Max Planck Institute for Biogeochemistry, MJBK; )
MIME-Type / Checksum:
application/pdf
Technical Metadata:
Copyright Date:
-
Copyright Info:
-
License:
-

Locators

show

Creators

show
hide
 Creators:
Liu, Y. Y.1, Author
Dorigo, W. A., Author
Parinussa, R. M., Author
de Jeu, R. A. M., Author
Wagner, W., Author
McCabe, M. F., Author
Evans, J. P., Author
van Dijk, A. I. J. M., Author
Affiliations:
1External Organizations, ou_persistent22              

Content

show
hide
Free keywords: -
 Abstract: A series of satellite-based passive and active microwave instruments provide soil moisture retrievals spanning altogether more than three decades. This offers the opportunity to generate a combined product that incorporates the advantages of both microwave techniques and spans the observation period starting 1979. However, there are several challenges in developing such a dataset, e.g., differences in instrument specifications result in different absolute soil moisture values, the global passive and active microwave retrieval methods produce conceptually different quantities, and products vary in their relative performances depending on vegetation density. This paper presents an approach for combining four passive microwave products from the VU University Amsterdam/National Aeronautics and Space Administration and two active microwave products from the Vienna University of Technology. First, passive microwave soilmoisture retrievals fromthe ScanningMultichannel Microwave Radiometer (SMMR), the Special Sensor Microwave Imager (SSM/I), and the Tropical Rainfall Measuring Mission microwave imager (TMI) instruments were scaled to the climatology of the Advanced Microwave Scanning Radiometer — Earth Observing System (AMSR-E) derived product and then all four were combined into a single merged passive microwave product. Second, active microwave soil moisture estimates from the European Remote Sensing (ERS) Scatterometer instrument were scaled to the climatology of the Advanced Scatterometer (ASCAT) derived estimates. Both were combined into a merged active microwave product. Finally, the two merged products were rescaled to a common globally available reference soilmoisture dataset provided by a land surfacemodel (GLDAS-1-Noah) and then blended into a single passive/active product. Blending of the active and passive data setswas based on their respective sensitivity to vegetation density.While this three step approach imposes the absolute values of the land surface model dataset to the final product, it preserves the relative dynamics (e.g., seasonality and inter-annual variations) of the original satellite derived retrievals.More importantly, the long term changes evident in the original soilmoisture productswere also preserved. The method presented in this paper allows the long term product to be extended with data from other current and future operational satellites. The multi-decadal blended dataset is expected to enhance our basic understanding of soil moisture in the water, energy and carbon cycles

Details

show
hide
Language(s):
 Dates: 2012-03-162012-04-25
 Publication Status: Published online
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: Other: BPR020
DOI: 10.1016/j.rse.2012.03.014
 Degree: -

Event

show

Legal Case

show

Project information

show

Source 1

show
hide
Title: Remote Sensing of Environment
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: New York : Elsevier
Pages: - Volume / Issue: 123 Sequence Number: - Start / End Page: 280 - 297 Identifier: ISSN: 0034-4257
CoNE: https://pure.mpg.de/cone/journals/resource/954925437513