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
 Hydrology and Remote Sensing Laboratory: Beltsville, MD
 close



    Research

                    Research Projects
                                    Publications
                                    Collaborations
                                    News
                                    Software
                People

                    Staff Listing
                                    CareersSearch small
                    Search
            
            ARS Home
                                About ARS
                                Contact Us




ARS Home Northeast Area Beltsville, Maryland (BARC) Beltsville Agricultural Research Center Hydrology and Remote Sensing Laboratory 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
- People
- Research Sites
- Pesticide Volatilization
- Watershed Modeling
- Climate Change
- Soil Moisture
- Drought and ET
- HRSL Brochure

Title:   Author  item
                                            Anderson, Marthaitem
                                            HAIN, C. - University Of Marylanditem
                                            Gao, Fengitem
                                            Yang, Yunitem
                                            OTKIN, J. - University Of Wisconsinitem
                                            Kustas, William

                                                         - *Bill*
  Submitted to: Meeting Abstract
                                    Publication Type: Abstract Only
                                    Publication Acceptance Date: 8/24/2015
                                    Publication  Date: N/A
                                    Citation: N/AInterpretive Summary:
                                Technical Abstract: To meet the food supply needs of the world’s growing population, global food production will need to roughly double by 2050. This increased production must be accomplished within the constraints of a non-uniform distribution of freshwater resources, an amplifying climate cycle, and concern for environmental impacts of agriculture. To make significant strides in improving the production capacity and resiliency of global agricultural systems, we must first better understand the variability embedded in landscapes under current conditions in terms of water use and water productivity as it relates to different land and crop management strategies. Such studies are well suited to remote sensing data from medium resolution satellite systems such as Landsat, which provides information about land and water use at the scales at which they are being managed (< 100 m). Unfortunately, these medium resolution systems do not provide land-surface temperature data at the temporal frequency required to adequately support water-use (evapotranspiration; ET) mapping in many parts of the world. This presentation will discuss methodologies for producing daily ET estimates over a broad range in spatial scales (field-to-globe) by fusing information from multiple satellite systems with different spatiotemporal mapping characteristics. These ET datasets can be used to investigate relationships between water use dynamics and land-cover/land-use and water management strategy, and to map water productivity (kilograms of yield per cubic meter of water used over the growing season) at landscape scale. Temporal anomalies in ET can provide an early indication of vegetation stress due to drought or other stressors, signaled by elevated canopy temperatures accompanying the decreased transpiration rates. Example applications of data fusion in mapping water resources and monitoring drought and yield over several continents will be discussed, with special focus on the Near East – North African region.


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