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
                                            JURECKA, FRANTISEK - Mendel Universityitem
                                            TRNKA, M. - Mendel Universityitem
                                            HLAVINKA  - Mendel Universityitem
                                            Dulaney, Wayneitem
                                            OTKIN, J. - University Of Wisconsinitem
                                            JOHNSON, D. - National Agricultural Statistical Service (NASS, USDA)item
                                            Gao, Feng
  Submitted to: Climate Research
                                    Publication Type: Peer Reviewed Journal
                                    Publication Acceptance Date: 6/28/2016
                                    Publication  Date: 10/27/2016
                                    Citation: Anderson, M.C., Hain, C., Jurecka, F., Trnka, M., Hlavinka, Dulaney, W.P., Otkin, J., Johnson, D., Gao, F.N. 2016. An energy balance approach for mapping crop waterstress and yield impacts over the Czech Republic. Climate Research. 70:215-230.Interpretive Summary: Remote sensing data from satellites is widely used for monitoring crop stress and forecasting yield impacts of drought. In this paper, the performance of the satellite-based Evaporative Stress Index (ESI) as an indicator of agricultural drought is evaluated over the Czech Republic. ESI data were extracted from a new global product, generated at 5-km spatial resolution. The ESI data highlights areas where crop water use (evapotranspiration) is higher or lower than normal with respect to a long-term baseline climatology, reflecting anomalies in vegetation health and local soil moisture availability. ESI data for 2002-2014 were compared with anomalies in spring barley and winter wheat crops - two major cereals grown in the Czech Republic. In general, ESI was a good predictor of yield anomalies 1-2 months prior to harvest. Better performance was observed in lowland agricultural districts in south Moravia which are more drought-prone, and somewhat lower performance in the highland areas where crop growth tends to be more energy-limited than water-limited. The information provided by this study will facilitate optimal integration of multiple crop indicators, including ESI, to generate routine yield forecasts for the Czech Republic.
                                Technical Abstract: There is a growing demand for timely, spatially distributed information regarding crop condition and water use to inform agricultural decision making and yield forecasting efforts. Remote sensing of land-surface temperature has proven valuable for mapping evapotranspiration (ET) and crop stress from field to global scales using energy balance models. This is because canopy temperature is strongly regulated by the transpiration flux, which is reduced under stress conditions. This study investigates the utility of the Atmosphere-Land Exchange Inverse (ALEXI) surface energy balance model in estimating ET and an associated Evaporative Stress Index (ESI) over the Czech Republic for the period 2002-2014. ESI timeseries, representing standardized anomalies in the actual-to-reference ET ratio and an indicator of vegetation health, are compared with yield data collected for winter wheat and spring barley crops in 32 agricultural districts, comprising a range of climatic conditions within the Czech Republic. Correlations between ESI and yield data vary with climatic region, with strongest correlations identified in the more drought-prone South Moravian districts and weaker relationships in the wetter Highlands regions. In most regions, correlations with spring barley yield anomalies exceeded performance for winter wheat. For both crops, correlations peaked during the 1-2 month period prior to the nominal harvest date. This work provides a framework for integrating information about crop progress from shortwave vegetation indices with thermal indicators of moisture and temperature constraints for routine within-season monitoring of crop health and forecasting of yield impacts.


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