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
                                            Li, Fuqinitem
                                            Jackson, Thomasitem
                                            Kustas, William

                                                         - *Bill*item
                                            Schmugge, Thomasitem
                                            FRENCH, A - UMBCitem
                                            Cosh, Michaelitem
                                            BINDLISH, RAJAT - SSAI
  Submitted to: Remote Sensing of Environment
                                    Publication Type: Peer Reviewed Journal
                                    Publication Acceptance Date: 2/18/2004
                                    Publication  Date: 9/30/2004
                                    Citation: Li, F., Jackson, T.J., Kustas, W.P., Schmugge, T.J., French, A., Cosh, M.H., Bindlish, R. 2004. Deriving land surface temperature from Landsat 5 and 7 during SMEX02/SMACEX. Remote Sensing of Environment. 92(2):521-534.Interpretive Summary: Landsat satellite thermal infrared images collected during the Soil Moisture Experiments in 2002 over central Iowa croplands were used in conjunction with ground based and other satellite observations to understand the scaling of derived land surface temperatures. Land surface temperature Ts, is a key boundary condition in many remote sensing-based land surface modeling schemes.  The thermal infrared sensors from various satellites platforms provide different spatial resolution data to estimate land surface temperature. The findings from this investigation show that it is possible to extract accurate land surface temperature of about 1o K from Landsat Thematic Mapper data with a radiative transfer model, on site radiosonde data, and an emissivity algorithm.  From these results we conclude that with adequate ancillary information and atmospheric correction, the high resolution satellite data can be used to extract detailed information about vegetation cover and surface temperature. These are both important surface boundary conditions for modeling surface fluxes. It is possible that different types of satellite data can be used synergistically. Higher resolution and less frequent thermal infrared observations from Landsat can be used to understand the spatial variation within coarser resolution observations made by other satellites, which provide more frequent measurements. This spatial information is important in estimating energy balance components, which utilizes temperature measurements; because it is known that (unlike the measured radiance) the fluxes do not exhibit linear scaling. This information can be used to assess crop conditions within fields and the impacts of land cover and land use changes on surface energy balance.
                                Technical Abstract: A sequence of five high resolution satellite based land surface temperature images over a watershed area in Iowa were analyzed. As a part of the SMEX02 field experiment, these land surface temperature images were extracted from Landsat 5 TM and Landsat 7 ETM thermal bands. The radiative transfer model MODTRAN 4.1 was used with atmospheric profile data to atmospherically correct the Landsat data. NDVI derived from Landsat visible and near-infrared bands was used to estimate fractional vegetation cover, which in turn was used to estimate emissivity for Landsat thermal bands. The estimated brightness temperature was compared with concurrent tower based measurements. The difference between the satellite based brightness temperature estimates and the tower based brightness temperature was 0.98o C for Landsat 7 and 1.47oC for Landsat 5 respectively. Based on these images, the land surface temperature spatial variation and its change with scale are addressed. The scaling properties of the surface temperature is important as it has significant implications for changes in land surface fluxes estimation between higher resolution Landsat and regional to global sensors such as MODIS.


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