The Vegetation Drought Response Index (VegDRI): A New Integrated Approach for Monitoring Drought Stress in Vegetation

Brown, Jesslyn F.; Wardlow, Brian D.; Tadesse, Tsegaye; Hayes, Michael J.; Reed, Barbara M.

doi:10.2747/1548-1603.45.1.16

Cited by 375 publications

(197 citation statements)

References 58 publications

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“…Future analyses of the ESI will include comparisons with drought indices based on ET, soil moisture, and surface runoff estimates from the NLDAS land surface modeling system that are currently used in the National Centers for Environmental Prediction (NCEP) North American Drought Briefing and with other remote sensing drought indices, such as the vegetation heath index (VHI; Kogan 1997) and the vegetation drought response index (VegDRI; Brown et al 2008). The domain of the ALEXI application is being expanded to include North and South America (approximately 260 to 608 latitude) using GOES data.…”

Section: Discussionmentioning

confidence: 99%

“…Precipitation maps may be used as the sole input for some indices, such as in the standardized precipitation indices (SPIs; McKee et al 1995), or in combination with other observable quantities, such as satellite-based vegetation cover fraction in the vegetation drought response index (VegDRI; Brown et al 2008). In other cases, precipitation data are transformed into an indicator of soil moisture using water balance models of varying complexity, ranging from the simple two-layer bucket model used in the Palmer index suite (Palmer 1965) to the more detailed multilayer soil moisture schemes used in land surface models (LSMs) in the North American Land Data Assimilation System (NLDAS; Mitchell et al 2004).…”

Section: Introductionmentioning

confidence: 99%

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Evaluation of Drought Indices Based on Thermal Remote Sensing of Evapotranspiration over the Continental United States

et al. 2011

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The reliability of standard meteorological drought indices based on measurements of precipitation is limited by the spatial distribution and quality of currently available rainfall data. Furthermore, they reflect only one component of the surface hydrologic cycle, and they cannot readily capture nonprecipitation-based moisture inputs to the land surface system (e.g., irrigation) that may temper drought impacts or variable rates of water consumption across a landscape. This study assesses the value of a new drought index based on remote sensing of evapotranspiration (ET). The evaporative stress index (ESI) quantifies anomalies in the ratio of actual to potential ET (PET), mapped using thermal band imagery from geostationary satellites. The study investigates the behavior and response time scales of the ESI through a retrospective comparison with the standardized precipitation indices and Palmer drought index suite, and with drought classifications recorded in the U.S. Drought Monitor for the 2000–09 growing seasons. Spatial and temporal correlation analyses suggest that the ESI performs similarly to short-term (up to 6 months) precipitation-based indices but can be produced at higher spatial resolution and without requiring any precipitation data. Unique behavior is observed in the ESI in regions where the evaporative flux is enhanced by moisture sources decoupled from local rainfall: for example, in areas of intense irrigation or shallow water table. Normalization by PET serves to isolate the ET signal component responding to soil moisture variability from variations due to the radiation load. This study suggests that the ESI is a useful complement to the current suite of drought indicators, with particular added value in parts of the world where rainfall data are sparse or unreliable.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Evaluation of Drought Indices Based on Thermal Remote Sensing of Evapotranspiration over the Continental United States

et al. 2011

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“…Climate change predictions for Europe indicate considerable changes in the water balance throughout Europe, with an increased probability for summer droughts in the Mediterranean, South Eastern, and also Central Europe, including the territory of the Czech Republic (IPCC 2007). A growing number of studies is focusing on the drought risk and vulnerability assessment (e.g., Lana and Burgueño 1998;Wilhelmi et al 2002;Brunetti et al 2002;Heim 2002;Wilhite 2000), drought monitoring and early warming (Wilhite and Svoboda 2000;Svoboda et al 2002), and drought policy and mitigation activities (Liu and Kogan 1996;Kogan 2000;Sonnett et al 2006;Brown et al 2008).…”

Section: Introductionmentioning

confidence: 99%

Drought episodes in the Czech Republic and their potential effects in agriculture

Potop

Türkott

Kožnarová

et al. 2009

Theor Appl Climatol

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This paper presents the methodology for assessment of drought episodes and their potential effects on winter and spring cereal crops in the Czech Republic (in the text referred to as Czechia). Historical climate and crop yields data for the period of 47 years have been integrated into an agrometeorological database. The drought episodes were determined by three methods: according to the values of the standardized precipitation index (SPI), percentage of long-term precipitations (r), and on the basis of the Ped drought index (S i ). Consequently, the combined SPI, S i , and r indices have been used as tools in identification of the severity, frequency, and extent of drought episodes. Additionally, the paper also presents the S i drought index and its potential use for real-time monitoring of spatial extension and severity of droughts in Czechia. The drought risk to crops was analyzed by identifying the relationships between the fluctuation of crop yields and drought index (S i ) based on the multiple regression analysis with stepwise selection. In general, models explain that a high percentage of the variability of the yield is due to drought (more than 45% of yield variance).

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“…As demonstrated by other authors (e.g., Jayaraman et al, 1997;Brown et al, 2008;Jain et al, 2010), a comprehensive framework including a climate-based, satellite-derived monitoring and a seasonal weather forecast is the most reliable way to identify drought occurrence and trends and to deliver timely information for impact reduction. In this study a proactive, integrated drought monitoring and seasonal forecasting tool is briefly illustrated; it was implemented for the Tuscany region (Italy/central Mediterranean) by the LaMMA Consortium and the Institute of Biometeorology (IBIMET-CNR), and aims at filling the temporal gap between the development of a dry period and the response of final users in managing drought-related emergencies, by delivering maps and information in quasi-real-time.…”

Section: Introductionmentioning

confidence: 99%

Prototype of a drought monitoring and forecasting system for the Tuscany region

Magno

Angeli²,

Chiesi

et al. 2014

Adv. Sci. Res.

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Abstract.A system for drought monitoring and medium-long time forecasting in the Tuscany region (central Italy) is briefly introduced, which is based on ground and satellite data (1 km spatial resolution and 16-day temporal resolution). It is also shown how information about current conditions and future evolution of a drought event is periodically delivered on the LaMMA Consortium website, in collaboration with the Institute of Biometeorology (IBIMET-CNR).

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The Vegetation Drought Response Index (VegDRI): A New Integrated Approach for Monitoring Drought Stress in Vegetation

Cited by 375 publications

References 58 publications

Evaluation of Drought Indices Based on Thermal Remote Sensing of Evapotranspiration over the Continental United States

Evaluation of Drought Indices Based on Thermal Remote Sensing of Evapotranspiration over the Continental United States

Drought episodes in the Czech Republic and their potential effects in agriculture

Prototype of a drought monitoring and forecasting system for the Tuscany region

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