U.S. flagAn official website of the United States government
                    Here's how you know **Official websites use .gov**
                            
                            A **.gov** website belongs to an official government organization in the United States.
 **Secure .gov websites use HTTPS**
                            
                            A **lock** (                            
                              A locked padlock                                                      
                            
                            ) or **https://** means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.


Menu Agricultural Research Service
						
                    U.S. DEPARTMENT OF AGRICULTURE
 close



Research
                Research Home
                            National Programs
                            Research Projects
                            Scientific Manuscripts
                            International Engagement
                            Scientific Software/Models
                            Databases and Datasets
                            Office of Scientific Quality Review
            Media
                News & Features
                            Multimedia
                            Briefing Room
                            Down on the Farm
                            Press Room
                            Science in Your Shopping Cart
                            Scientific Discoveries
                            Tellus
                            Under the Microscope
            About ARS
                About ARS Home
                            Staff Directory
                            Labs and Research Centers (Map)
                            Headquarter Offices
                            Organizational Chart
                            Employee Services (REE Employees Only)
                            Office of Outreach, Diversity, and Equal Opportunity
            Work With Us
                Work With Us Home
                            ARS Vacancies at USAJOBS
                            Careers at ARS Information
                            Scientific Collaborations
                            Extramural Agreements
                            1890 Faculty Research Sabbatical ProgramSearch small
                    Search
            
            ARS Home
                                About ARS
                                Contact Us




ARS Home Research Publications at this Location





- ARS National Programs
- Search for a scientific manuscript
- Search for a research project
- ARS Software
- Programs and Projects
- Collaborations
- Subjects of Investigation
- Publications

Title:   Author  item
                                            Crow, Wade
  Submitted to: Meeting Abstract
                                    Publication Type: Abstract Only
                                    Publication Acceptance Date: 5/1/2010
                                    Publication  Date: 6/1/2010
                                    Citation: Crow, W.T. 2010. Recent advances in land data assimilation for remote sensing observations [abstract]. Online Proceedings of the French-American Symposium on Developing Partnerships for Sustainable Water Management and Agriculture in the context of Climate and Global Change. 2010 CDROM.Interpretive Summary:
                                Technical Abstract: 
For a number of decades, remote sensing observations have been used to define static model parameters and/or forcing inputs for a range of land surface models.  However, recent advances in remote sensing theory have also enabled the remote retrieval of dynamic land model states (e.g. leaf area index for a crop growth model, stream temperature for a water quality model, or surface soil moisture for a hydrologic model).  The integration of such observations requires data assimilation techniques to optimally merge prior model predictions with uncertain remote sensing information in order to obtain the best possible dynamic state prediction.  Since remote sensing observations do not typically observe all model states (due to e.g. temporally sampling limitations and/or the inability of sensors to penetrate beyond the near-surface) a critical aspect of these techniques is the extrapolation of information from time/space locations with observations to those without.  This talk will describe recent advances in the application of data assimilation systems to land surface modeling.  Particularly attention will be paid to the problem of constraining soil moisture profile predictions within a crop root-zone using surface (0 to 5-cm) soil moisture observations and opportunities afforded by current and upcoming satellite missions designed to measure surface soil moisture from space.


Return to top


Connect with ARS Sign up


ARS Home
                            USDA.gov
                            Plain Writing
                            Policies & Links
                            Civil Rights Statements
                            FOIA
                            Accessibility Statement
                            Privacy Policy
                            Non-Discrimination Statement
                            Quality of Information
                            USA.gov
                            WhiteHouse.gov