Monitoring Drought Intensity in Illinois with a Combined Index
Monitoring Drought Intensity in Illinois with a Combined Index

Author: Guanling Feng

Publisher:

Published: 2014

Total Pages: 250

ISBN-13:

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Many traditional drought assessments are conducted based on climate and hydrologic data. The availability and precision of data limit the spatial and temporal resolution and accuracy of derived drought indices. In this study, Vegetation Condition Index (VCI) and Temperature Condition Index (TCI) were generated from Moderate Resolution Imaging Spectroradiometer (MODIS) products. The VCI was derived from Normalized Difference Vegetation Index (NDVI) that was calculated with near infrared and visible red band reflectance from MOD09Q1. The TCI was derived from land surface temperature (LST) product MOD11A2. The VCI and TCI were then combined with reference to the vegetation coverage information from MOD44B to generate the modified Vegetation Health Index (VHI). The modified VHI was applied to quantify the intensity of drought that took place in Illinois from 2000 to 2012. The results showed that the modified VHI identified the major droughts that occurred in Illinois from 2000 to 2012, especially the extreme one taking place in 2012. Moreover, the modified VHI led to the spatial distributions and temporal trends of drought severity, which were overall similar to those from the U.S. Drought Monitor (USDM) maps, but had more detailed spatial variability and much higher spatial resolution. The modified VHI also differentiated the drought impacts between the vegetated and non-vegetated areas, being a lack of the original VHI. Thus, the modified VHI takes advantage of spatially continuous and timely data from satellites and can be applied to conduct the monitoring and detection of drought intensity at local, regional, and national scales. The modified VHI can effectively synthesize the drought information of LST and NDVI to differentiate the effects of land use and land cover (LULC) types and provide the detailed spatial variability of drought intensity and thus enhance the understanding of relationship between drought condition and LULC types.

Monitoring Drought Intensity in Illinois with a Combined Index
Monitoring Drought Intensity in Illinois with a Combined Index

Author: Guanling Feng (‡e author)

Publisher:

Published: 2014

Total Pages: 125

ISBN-13:

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Many traditional drought assessments are conducted based on climate and hydrologic data. The availability and precision of data limit the spatial and temporal resolution and accuracy of derived drought indices. In this study, Vegetation Condition Index (VCI) and Temperature Condition Index (TCI) were generated from Moderate Resolution Imaging Spectroradiometer (MODIS) products. The VCI was derived from Normalized Difference Vegetation Index (NDVI) that was calculated with near infrared and visible red band reflectance from MOD09Q1. The TCI was derived from land surface temperature (LST) product MOD11A2. The VCI and TCI were then combined with reference to the vegetation coverage information from MOD44B to generate the modified Vegetation Health Index (VHI). The modified VHI was applied to quantify the intensity of drought that took place in Illinois from 2000 to 2012. The results showed that the modified VHI identified the major droughts that occurred in Illinois from 2000 to 2012, especially the extreme one taking place in 2012. Moreover, the modified VHI led to the spatial distributions and temporal trends of drought severity, which were overall similar to those from the U.S. Drought Monitor (USDM) maps, but had more detailed spatial variability and much higher spatial resolution. The modified VHI also differentiated the drought impacts between the vegetated and non-vegetated areas, being a lack of the original VHI. Thus, the modified VHI takes advantage of spatially continuous and timely data from satellites and can be applied to conduct the monitoring and detection of drought intensity at local, regional, and national scales. The modified VHI can effectively synthesize the drought information of LST and NDVI to differentiate the effects of land use and land cover (LULC) types and provide the detailed spatial variability of drought intensity and thus enhance the understanding of relationship between drought condition and LULC types.

Developing an Impact-Based Combined Drought Index for Monitoring Crop Yield Anomalies in the Upper Blue Nile Basin, Ethiopia
Developing an Impact-Based Combined Drought Index for Monitoring Crop Yield Anomalies in the Upper Blue Nile Basin, Ethiopia

Author: Yared A. Bayissa

Publisher: CRC Press

Published: 2018-10-26

Total Pages: 146

ISBN-13: 0429679777

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Having a robust drought monitoring system for Ethiopia is crucial to mitigate the adverse impacts of droughts. Yet, such monitoring system still lacks in Ethiopia, and in the Upper Blue Nile (UBN) basin in particular. Several drought indices exist to monitor drought, however, these indices are unable, individually, to provide concise information on the occurrence of meteorological, agricultural and hydrological droughts. A combined drought index (CDI) using several meteorological, agricultural and hydrological drought indices can indicate the occurrence of all drought types, and can provide information that facilitates the drought management decision-making process. This thesis proposes an impact-based combined drought index (CDI) and a regression prediction model of crop yield anomalies for the UBN basin. The impact-based CDI is defined as a drought index that optimally combines the information embedded in other drought indices for monitoring a certain impact of drought, i.e. crop yield for the UBN. The developed CDI and the regression model have shown to be effective in indicating historic drought events in UBN basin. The impact-based CDI could potentially be used in the future development of drought monitoring in the UBN basin and support decision making in order to mitigate adverse drought impacts.

Monitoring and Predicting Agricultural Drought
Monitoring and Predicting Agricultural Drought

Author: Vijendra K. Boken

Publisher: Oxford University Press

Published: 2005-04-14

Total Pages: 495

ISBN-13: 019516234X

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Basic concepts and drought analysis. Remote sensing. NOAA/AVHRR satellite data-based indices for monitoring agricultural droughts. The Americas. Europe, Russia, and the near east. Asia and Australia. International efforts and climate change.

Drought Early Warning System
Drought Early Warning System

Author: Muni Rathnam Pantula

Publisher: Notion Press

Published: 2016-06-20

Total Pages: 787

ISBN-13: 1945497432

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This book encompasses the characterisation of meteorological drought by the newly invented index called “SPI – Standardised Precipitation index” approved by World Meteorological Organization (WMO) in June 2011. It is a simple index with precipitation as the only parameter and can be computed for different scales (1-3-6-12-24 months) and compared across regions with different climatic zones. The author has depicted graphs with regard to trends, onset, end, magnitude with dates of occurrence of droughts over a period of 102 years with regard to rainfall and temperature with the aid of SPI and SPEI, for Anantapur District of Andhra Pradesh, India. To characterise the agricultural drought, climatological water balance was carried for a period of 30 years for the data. In this book a composite index called “Indian drought monitor” with ten indicators and indices has been developed for releasing drought information weekly considering and incorporating review from a group of climatologists, extension agents and others across the nation. This will lead the country economically forward.

Remote Sensing for Food Security
Remote Sensing for Food Security

Author: Felix Kogan

Publisher: Springer

Published: 2018-10-27

Total Pages: 262

ISBN-13: 3319962566

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This volume gathers a variety of applications for remote sensing of vegetation health (VH) and concretely shows how this information can be used in service of ending hunger and of ensuring future food security. In this book’s ten chapters, Dr. Felix Kogan, one of the most prolific scientists in this sphere, shows how a new VH method, designed from operational environmental satellite data, can be used to provide advanced predictions of agricultural losses, helping to enhance food security and reducing the number of hungry people. Topics covered include the scientific basis of the VH method, drought monitoring, prediction of short-term agricultural yield and crop insurance, and impacts of long term climate variability and change on food security. A short discussion on VH for human health-related topics such as detection and prediction of malaria and fire risk is included as well.

The Climate of the Mediterranean Region
The Climate of the Mediterranean Region

Author: P. Lionello

Publisher: Elsevier

Published: 2012-04-19

Total Pages: 593

ISBN-13: 0124160425

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The Mediterranean region contains a diverse and interesting climate ranging from areas with permanent glaciers to areas of subtropical, semiarid regions. The region is potentially sensitive to climate change and its progress has environmental, social, and economic implications within and beyond the region. Produced by the Mediterranean Climate Variability and Predictability Research Networking Project, this book reviews the evolution of the Mediterranean climate over the past two millennia with projections further into the twenty-first century as well as examining in detail various aspects of the Mediterranean region's climate including evolution, atmospheric variables, and oceanic and land elements. Integrated with this, the book also considers the social and economic problems or vulnerabilities associated with the region. Written and reviewed by multiple researchers to ensure a high level of information presented clearly, Mediterranean Climate Variables will be an invaluable source of information for geologists, oceanographers, and anyone interested in learning more about the Mediterranean climate. Written by leading experts in the field Presents clear, compelling, and concise evidence Includes the latest thinking in Mediterranean climate research