A method for deriving land surface moisture, vegetation optical depth, and open water fraction from AMSR-E

Lucas A. Jones; John S. Kimball; Erika Podest; Kyle C. McDonald; Steven K. Chan; Eni G. Njoku

doi:10.1109/IGARSS.2009.5417921

A method for deriving land surface moisture, vegetation optical depth, and open water fraction from AMSR-E

Lucas A. Jones
, John S. Kimball
, Erika Podest
, Kyle C. McDonald
, Steven K. Chan
, Eni G. Njoku

Numerical Terradynamic Simulation Group

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

30 Scopus citations

Abstract

We developed an algorithm to estimate surface soil moisture, vegetation optical depth and fractional open water cover using satellite microwave radiometry. Soil moisture results compare favorably with a simple antecedent site precipitation index, and respond rapidly to precipitation events indicated by TRMM. High optical depth reduces soil moisture sensitivity in forests and croplands during peak biomass, although tundra locations maintain soil moisture sensitivity despite high optical depth. Optical depth varies with characteristic seasonality across vegetation cover types and tracks measures of vegetation canopy cover from MODIS. The algorithm developed in this study is able to monitor the daily variability of several important land surface state variables.

Original language	English
Title of host publication	2009 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2009 - Proceedings
Pages	III916-III919
DOIs	https://doi.org/10.1109/IGARSS.2009.5417921
State	Published - 2009
Event	2009 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2009 - Cape Town, South Africa Duration: Jul 12 2009 → Jul 17 2009

Publication series

Name	International Geoscience and Remote Sensing Symposium (IGARSS)
Volume	3

Conference

Conference	2009 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2009
Country/Territory	South Africa
City	Cape Town
Period	07/12/09 → 07/17/09

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 15 Life on Land

Keywords

AMSR-E
Microwave radiometry
Soil moisture
Vegetation
Water resources

Access to Document

10.1109/IGARSS.2009.5417921

Cite this

Jones, L. A., Kimball, J. S., Podest, E., McDonald, K. C., Chan, S. K., & Njoku, E. G. (2009). A method for deriving land surface moisture, vegetation optical depth, and open water fraction from AMSR-E. In 2009 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2009 - Proceedings (pp. III916-III919). Article 5417921 (International Geoscience and Remote Sensing Symposium (IGARSS); Vol. 3). https://doi.org/10.1109/IGARSS.2009.5417921

@inproceedings{1ffe562ec294475b8d67dbd4dba39ed8,

title = "A method for deriving land surface moisture, vegetation optical depth, and open water fraction from AMSR-E",

abstract = "We developed an algorithm to estimate surface soil moisture, vegetation optical depth and fractional open water cover using satellite microwave radiometry. Soil moisture results compare favorably with a simple antecedent site precipitation index, and respond rapidly to precipitation events indicated by TRMM. High optical depth reduces soil moisture sensitivity in forests and croplands during peak biomass, although tundra locations maintain soil moisture sensitivity despite high optical depth. Optical depth varies with characteristic seasonality across vegetation cover types and tracks measures of vegetation canopy cover from MODIS. The algorithm developed in this study is able to monitor the daily variability of several important land surface state variables.",

keywords = "AMSR-E, Microwave radiometry, Soil moisture, Vegetation, Water resources",

author = "Jones, \{Lucas A.\} and Kimball, \{John S.\} and Erika Podest and McDonald, \{Kyle C.\} and Chan, \{Steven K.\} and Njoku, \{Eni G.\}",

year = "2009",

doi = "10.1109/IGARSS.2009.5417921",

language = "English",

isbn = "9781424433957",

series = "International Geoscience and Remote Sensing Symposium (IGARSS)",

pages = "III916--III919",

booktitle = "2009 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2009 - Proceedings",

note = "2009 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2009 ; Conference date: 12-07-2009 Through 17-07-2009",

}

Jones, LA, Kimball, JS, Podest, E, McDonald, KC, Chan, SK & Njoku, EG 2009, A method for deriving land surface moisture, vegetation optical depth, and open water fraction from AMSR-E. in 2009 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2009 - Proceedings., 5417921, International Geoscience and Remote Sensing Symposium (IGARSS), vol. 3, pp. III916-III919, 2009 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2009, Cape Town, South Africa, 07/12/09. https://doi.org/10.1109/IGARSS.2009.5417921

A method for deriving land surface moisture, vegetation optical depth, and open water fraction from AMSR-E. / Jones, Lucas A.; Kimball, John S.; Podest, Erika et al.
2009 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2009 - Proceedings. 2009. p. III916-III919 5417921 (International Geoscience and Remote Sensing Symposium (IGARSS); Vol. 3).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - A method for deriving land surface moisture, vegetation optical depth, and open water fraction from AMSR-E

AU - Jones, Lucas A.

AU - Kimball, John S.

AU - Podest, Erika

AU - McDonald, Kyle C.

AU - Chan, Steven K.

AU - Njoku, Eni G.

PY - 2009

Y1 - 2009

N2 - We developed an algorithm to estimate surface soil moisture, vegetation optical depth and fractional open water cover using satellite microwave radiometry. Soil moisture results compare favorably with a simple antecedent site precipitation index, and respond rapidly to precipitation events indicated by TRMM. High optical depth reduces soil moisture sensitivity in forests and croplands during peak biomass, although tundra locations maintain soil moisture sensitivity despite high optical depth. Optical depth varies with characteristic seasonality across vegetation cover types and tracks measures of vegetation canopy cover from MODIS. The algorithm developed in this study is able to monitor the daily variability of several important land surface state variables.

AB - We developed an algorithm to estimate surface soil moisture, vegetation optical depth and fractional open water cover using satellite microwave radiometry. Soil moisture results compare favorably with a simple antecedent site precipitation index, and respond rapidly to precipitation events indicated by TRMM. High optical depth reduces soil moisture sensitivity in forests and croplands during peak biomass, although tundra locations maintain soil moisture sensitivity despite high optical depth. Optical depth varies with characteristic seasonality across vegetation cover types and tracks measures of vegetation canopy cover from MODIS. The algorithm developed in this study is able to monitor the daily variability of several important land surface state variables.

KW - AMSR-E

KW - Microwave radiometry

KW - Soil moisture

KW - Vegetation

KW - Water resources

UR - https://www.scopus.com/pages/publications/77950952805

U2 - 10.1109/IGARSS.2009.5417921

DO - 10.1109/IGARSS.2009.5417921

M3 - Conference contribution

AN - SCOPUS:77950952805

SN - 9781424433957

T3 - International Geoscience and Remote Sensing Symposium (IGARSS)

SP - III916-III919

BT - 2009 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2009 - Proceedings

T2 - 2009 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2009

Y2 - 12 July 2009 through 17 July 2009

ER -

Jones LA, Kimball JS, Podest E, McDonald KC, Chan SK, Njoku EG. A method for deriving land surface moisture, vegetation optical depth, and open water fraction from AMSR-E. In 2009 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2009 - Proceedings. 2009. p. III916-III919. 5417921. (International Geoscience and Remote Sensing Symposium (IGARSS)). doi: 10.1109/IGARSS.2009.5417921

A method for deriving land surface moisture, vegetation optical depth, and open water fraction from AMSR-E

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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