A prototype web-based analysis platform for drought monitoring and early warning

ABSTRACT It has long been recognized that an effective drought monitoring and early warning system, which provides functions for real-time condition monitoring and prediction, risk assessment, information dissemination and response recommendation, is very important for the preparedness for and mitigation of drought impacts. In this article, we review the currently existing drought monitor and early warning systems, discuss applicable remote sensing datasets and drought indicators and present the development of a web-based quasi-real-time Global Drought Monitoring & Analysis Platform (Web-GDMAP). The Web-GDMAP is built upon a series of indicators derived from multi-source satellite remote sensing data and various other sources of data. From a technical perspective, the Web-GDMAP system includes a series of components from data storage, model implementation and distribution, to client-side visualization and user intuitive interaction. From a theoretical perspective, the Web-GDMAP system integrates multi-indicators on different aspects of drought, including anomalies in precipitation, anomalies in land surface thermal and vegetation conditions, water deficit of soil and plants, etc. Several case studies on applying the developed Web-GDMAP in the Asian region are demonstrated. Further improvements and perspectives are discussed.

[1]  Peter Baumann,et al.  rasdaman - raster data manager , 2017 .

[2]  A. Huete,et al.  Overview of the radiometric and biophysical performance of the MODIS vegetation indices , 2002 .

[3]  V. Singh,et al.  A review of drought concepts , 2010 .

[4]  João Paulo Ramos Teixeira,et al.  Remote sensing of drought: Progress, challenges and opportunities , 2015 .

[5]  F. Kogan.  Application of vegetation index and brightness temperature for drought detection , 1995 .

[6]  A. Robock,et al.  The International Soil Moisture Network: a data hosting facility for global in situ soil moisture measurements , 2011 .

[7]  Neville D. Crossman,et al.  Drought indicators revisited: the need for a wider consideration of environment and society , 2016 .

[8]  Shashi Shekhar,et al.  UMN-MapServer: A High-Performance, Interoperable, and Open Source Web Mapping and Geo-spatial Analysis System , 2006, GIScience.

[9]  Michael Dixon,et al.  Google Earth Engine: Planetary-scale geospatial analysis for everyone , 2017 .

[10]  Li Fang,et al.  NOaa Soil Moisture Operational Product System (SMOPS) and its validations , 2016, 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS).

[11]  C. Woodcock,et al.  Consistency of MODIS surface bidirectional reflectance distribution function and albedo retrievals: 2. Validation , 2003 .

[12]  R. Heim.  A Review of Twentieth-Century Drought Indices Used in the United States , 2002 .

[13]  Wenmei Guo,et al.  Basic Features of Climate Change in North China during 1961–2010 , 2013 .

[14]  David T. Bolvin,et al.  Improving the global precipitation record: GPCP Version 2.1 , 2009 .

[15]  Shanlei Sun,et al.  Spatial and Temporal Variability of Precipitation and Dryness/Wetness During 1961–2008 in Sichuan Province, West China , 2014, Water Resources Management.

[16]  N. Stephenson,et al.  Actual evapotranspiration and deficit: biologically meaningful correlates of vegetation distribution across spatial scales , 1998 .

[17]  The Application of Geospatial and Disaster Information for Food Insecurity and Agricultural Drought Monitoring and Assessment by the FAO GIEWS and Asia FIVIMS , 2005 .

[19]  Mannava V. K. Sivakumar,et al.  Early Warning Systems for Drought Preparedness and Drought Management , 2000 .

[20]  M. Palecki,et al.  THE DROUGHT MONITOR , 2002 .

[21]  L. Delucchi,et al.  pyModis: the Python library for MODIS data , 2013 .

[22]  Li Jia,et al.  Characterization of 2014 summer drought over Henan province using remotely sensed data , 2015, Intelligent Earth Observing Systems.

[23]  Richard R. Heim,et al.  International Drought Workshop Series , 2011 .

[24]  Giovanni Laguardia,et al.  Current state of development of the European Drought Observatory , 2009 .

[25]  J. Hannaford,et al.  Enhancing Drought Monitoring and Early Warning for the United Kingdom through Stakeholder Coinquiries , 2018, Weather, Climate, and Society.

[26]  Prasad S. Thenkabail,et al.  Monitoring of Evapotranspiration in a Semi-Arid Inland River Basin by Combining Microwave and Optical Remote Sensing Observations , 2015, Remote. Sens..

[27]  Herman Eerens,et al.  FAO’s AVHRR-based Agricultural Stress Index System (ASIS) for global drought monitoring , 2016 .

[28]  Jie Zhou,et al.  Assessing the sensitivity of two new indicators of vegetation response to water availability for drought monitoring , 2012, Asia-Pacific Environmental Remote Sensing.

[29]  Rob J Hyndman,et al.  Detecting trend and seasonal changes in satellite image time series , 2010 .

[30]  A. Aghakouchak,et al.  Global integrated drought monitoring and prediction system , 2014, Scientific Data.

[31]  Z. Wan.  New refinements and validation of the MODIS Land-Surface Temperature/Emissivity products , 2008 .

[32]  Per Jönsson,et al.  TIMESAT - a program for analyzing time-series of satellite sensor data , 2004, Comput. Geosci..

[33]  D. Wilhite,et al.  CHAPfER2UNDERSTANDING THE DROUGHT PHENOMENON:THE ROLE OF DEFINITIONS , 1985 .

[34]  V. Singh,et al.  An Overview of Drought Monitoring and Prediction Systems at Regional and Global Scales , 2017 .

[35]  Y. Hong,et al.  The TRMM Multisatellite Precipitation Analysis (TMPA): Quasi-Global, Multiyear, Combined-Sensor Precipitation Estimates at Fine Scales , 2007 .

[36]  Jan Verbesselt,et al.  Trend Change Detection in NDVI Time Series: Effects of Inter-Annual Variability and Methodology , 2013, Remote. Sens..

[37]  H. Byun,et al.  IMPACT OF CLIMATE CHANGE ON THE EAST ASIA DROUGHTS , 2010 .

[38]  Christiane Schmullius,et al.  Multi-Source Data Processing Middleware for Land Monitoring within a Web-Based Spatial Data Infrastructure for Siberia , 2013, ISPRS Int. J. Geo Inf..

[39]  Jie Lin,et al.  Changing characteristics of wet/dry spells during 1961–2008 in Sichuan province, southwest China , 2015, Theoretical and Applied Climatology.

[40]  Richard R. Heim,et al.  BEGINNING A NEW ERA OF DROUGHT MONITORING ACROSS NORTH AMERICA , 2002 .

[41]  E. Wood,et al.  A Drought Monitoring and Forecasting System for Sub-Sahara African Water Resources and Food Security , 2014 .

[42]  Michael J. Hayes,et al.  Understanding the complex impacts of drought: A key to enhancing drought mitigation and preparedness , 2007 .

[43]  Thorsten Wagener,et al.  Drought in a human-modified world : reframing drought definitions, understanding, and analysis approaches , 2016 .

[44]  Jáchym Čepický,et al.  New implementation of OGC Web Processing Service in Python programming language. PyWPS-4 and issues we are facing with processing of large raster data using OGC WPS , 2016 .

[45]  Richard R. Heim,et al.  The Global Drought Monitor Portal: The Foundation for a Global Drought Information System , 2012 .

[46]  Mark Sullivan,et al.  Monitoring Global Croplands with Coarse Resolution Earth Observations: The Global Agriculture Monitoring (GLAM) Project , 2010, Remote. Sens..

[47]  Jürgen Vogt,et al.  TOWARD GLOBAL DROUGHT EARLY WARNING CAPABILITY Expanding International Cooperation for the Development of a Framework for Monitoring and Forecasting , 2013 .

[48]  S. Vicente‐Serrano,et al.  Standardized precipitation evapotranspiration index (SPEI) revisited: parameter fitting, evapotranspiration models, tools, datasets and drought monitoring , 2014 .