Using Satellite Data Assimilation to Infer Global Soil Moisture Status and Vegetation Feedback to Climate

Research output: Chapter in Book/Report/Conference proceeding › Chapter in a book

Translated title of the contribution	Using Satellite Data Assimilation to Infer Global Soil Moisture Status and Vegetation Feedback to Climate
Original language	English
Title of host publication	Remote Sensing and Climate Modeling: Synergies and Limitations
Editors	Martin Beniston, Michel M. Verstraete
Publisher	Kluwer Academic Publishers
Pages	273 - 306
Number of pages	34
ISBN (Print)	0792368010
Publication status	Published - 2001

Handle.net

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title = "Using Satellite Data Assimilation to Infer Global Soil Moisture Status and Vegetation Feedback to Climate",

author = "W Knorr and J-P Schulz",

year = "2001",

language = "English",

isbn = "0792368010",

pages = "273 -- 306",

editor = "Martin Beniston and Verstraete, \{Michel M.\}",

booktitle = "Remote Sensing and Climate Modeling: Synergies and Limitations",

publisher = "Kluwer Academic Publishers",

address = "Netherlands",

}

Using Satellite Data Assimilation to Infer Global Soil Moisture Status and Vegetation Feedback to Climate. / Knorr, W; Schulz, J-P.
Remote Sensing and Climate Modeling: Synergies and Limitations. ed. / Martin Beniston; Michel M. Verstraete. Kluwer Academic Publishers, 2001. p. 273 - 306.

Research output: Chapter in Book/Report/Conference proceeding › Chapter in a book

TY - CHAP

T1 - Using Satellite Data Assimilation to Infer Global Soil Moisture Status and Vegetation Feedback to Climate

AU - Knorr, W

AU - Schulz, J-P

PY - 2001

Y1 - 2001

M3 - Chapter in a book

SN - 0792368010

SP - 273

EP - 306

BT - Remote Sensing and Climate Modeling: Synergies and Limitations

A2 - Beniston, Martin

A2 - Verstraete, Michel M.

PB - Kluwer Academic Publishers

ER -