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
                                            JURECKA, FRANTISEK - Mendel Universityitem
                                            TRNKA, M. - Mendel Universityitem
                                            HLAVINKA, P. - Mendel Universityitem
                                            Gao, Fengitem
                                            HAIN, C. - University Of Marylanditem
                                            Yang, Yunitem
                                            Holmes, Thomasitem
                                            Crow, Wadeitem
                                            Kustas, William

                                                         - *Bill*
  Submitted to: Meeting Abstract
                                    Publication Type: Abstract Only
                                    Publication Acceptance Date: 9/7/2015
                                    Publication  Date: 9/7/2015
                                    Citation: Anderson, M.C., Jurecka, F., Trnka, M., Hlavinka, P., Gao, F.N., Hain, C., Yang, Y., Holmes, T.R., Crow, W.T., Kustas, W.P. 2015. Monitoring of water use, drought and yield impacts using imagery from multiple satellites. Meeting Abstract.Evaluation of drought and drought impacts through interdisciplinary methods , abstract for the 2015 InterDrought Project Summer School, Mikulov, Czech Republic, June 7-13 2015. CD-ROM CD-ROM..Interpretive Summary:
                                Technical Abstract: Agricultural monitoring systems require information with continuous spatial and temporal sampling, ideally collected at daily timesteps and at spatial scales from county level down to field scale.  While remote sensing data significantly improve on the spatial sampling provided by ground-based observation networks, no single satellite provides both the high spatial and temporal resolution required for agricultural decision making.  Here we describe a data fusion approach for combining estimates of evapotranspiration (ET) generated from multiple satellites for monitoring daily crop water use at field scale, as well as for providing early warning of developing crop stress and associated yield anomalies.  The key diagnostic inputs to the modeling system are multi-scale satellite retrievals of land-surface temperature, which serve as a proxy indicator of the surface moisture status within an energy balance framework.  Example applications of these tools for drought monitoring and yield forecasting over the Czech Republic are presented, and future steps are outlined to investigate utility for integration within the InterDrought suite of agricultural monitoring tools.


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