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New Articles: Special Issue "Remote Sensing of Drought Monitoring" published

In the past few decades, satellite-based remote sensing has provided relatively high spatial resolution (i.e., local to synoptic scale) and high temporal resolution (i.e., hours to days) observations of the Earth. Remotely sensed imagery provides spatial continuous spectral measures across large areas that reflect both atmospheric and land surface characteristics. As a result, remote sensing data has been increasingly used for large-area drought monitoring. For example, several satellite-derived vegetation indices have been developed to monitor drought from local to global scales. Researchers are making progress in developing better drought monitoring tools to assess drought-related vegetation stress and evaluating with ground observations. In recent years, hybrid drought indices that integrate climate, satellite, and environmental data have been developed. In addition, remote sensing data collected by several recent satellite-based instruments have also been used to estimate several key variables related to drought that include land surface temperature, evapotranspiration, soil moisture, and precipitation. Satellite-based microwave and radar instruments are also increasingly being used for soil moisture and precipitation estimation.

Currently, an increasing number of new and/or more sophisticated remote sensing techniques have been used for estimating vegetation drought stress, evapotranspiration, soil moisture, ground water fluxes, and precipitation. As a result, the demand for the development of operational drought monitoring and early warning system (EWS) using these new technologies is growing in many parts of the world. Improved operational EWS may need more sophisticated analysis and modeling techniques, as well as improved scientific knowledge from the basic research. This Special Issue of Remote Sensing discusses recent advances in drought monitoring and prediction, presenting case studies conducted all over the world. Among the topics to be discussed are:

  • New and improved remote sensing-based drought indices that could help in identifying, classifying, and communicating drought conditions
  • Earth observations that include satellite, climate, oceanic, and biophysical data for efficient drought analysis and improved seasonal prediction
  • Improved modelling techniques to combine or integrate drought indices based on various drought indicators
  • Satellite-based soil moisture and evapotranspiration estimation
  • Remote sensing-based precipitation estimation and evaluation
  • Data mining and GIS applications to drought monitoring and prediction
  • Building Drought Early Warning Systems (DEWSs) integrating remote sensing data
  • Use of remote sensing data and applications for food security

See below the 12 articles from the special issue and more results from the same journal

  1. Monitoring Drought Impact on Annual Forage Production in Semi-Arid Grasslands: A Case Study of Nebraska Sandhillsby Markéta Poděbradská, Bruce K. Wylie, Michael J. Hayes, Brian D. Wardlow, Deborah J. Bathke, Norman B. Bliss and Devendra Dahal
  2. Assessing the Remotely Sensed Evaporative Drought Index for Drought Monitoring over Northeast Chinaby Lilin Zhang, Yunjun Yao, Xiangyi Bei, Kun Jia, Xiaotong Zhang, Xianhong Xie, Bo Jiang, Ke Shang, Jia Xu and Xiaowei Chen
  3. Mapping the Spatial-Temporal Dynamics of Vegetation Response Lag to Drought in a Semi-Arid Region by Li Hua, Huidong Wang, Haigang Sui, Brian Wardlow, Michael J. Hayes and Jianxun Wang
  4. The Effect of Droughts on Vegetation Condition in Germany: An Analysis Based on Two Decades of Satellite Earth Observation Time Series and Crop Yield Statistics by Sophie Reinermann, Ursula Gessner, Sarah Asam, Claudia Kuenzer and Stefan Dech
  5. Different Agricultural Responses to Extreme Drought Events in Neighboring Counties of South and North Korea by Jae-Hyun Ryu, Kyung-Soo Han, Yang-Won Lee, No-Wook Park, Sungwook Hong, Chu-Yong Chung and Jaeil Cho
  6. A Mixed Model Approach to Vegetation Condition Prediction Using Artificial Neural Networks (ANN): Case of Kenya’s Operational Drought Monitoring by Chrisgone Adede, Robert Oboko, Peter Waiganjo Wagacha and Clement Atzberger
  7. Impact of Soil Moisture Data Characteristics on the Sensitivity to Crop Yields Under Drought and Excess Moisture Conditions by Catherine Champagne, Jenelle White, Aaron Berg, Stephane Belair and Marco Carrera
  8. Soil Moisture Monitoring Using Remote Sensing Data and a Stepwise-Cluster Prediction Model: The Case of Upper Blue Nile Basin, Ethiopia by Getachew Ayehu, Tsegaye Tadesse, Berhan Gessesse and Yibeltal Yigrem
  9. Prediction of Drought on Pentad Scale Using Remote Sensing Data and MJO Index through Random Forest over East Asia by Seonyoung Park, Eunkyo Seo, Daehyun Kang, Jungho Im and Myong-In Lee
  10. Surface Moisture and Vegetation Cover Analysis for Drought Monitoring in the Southern Kruger National Park Using Sentinel-1, Sentinel-2, and Landsat-8 by Marcel Urban, Christian Berger, Tami E. Mudau, Kai Heckel, John Truckenbrodt, Victor Onyango Odipo, Izak P. J. Smit and Christiane Schmullius
  11. Monitoring and Assessment of Drought Focused on Its Impact on Sorghum Yield over Sudan by Using Meteorological Drought Indices for the Period 2001–2011 by Khalid. M. Elhag and Wanchang Zhang
  12. The Temporal-Spatial Characteristics of Drought in the Loess Plateau Using the Remote-Sensed TRMM Precipitation Data from 1998 to 2014 by Qi Zhao, Qianyun Chen, Mengyan Jiao, Pute Wu, Xuerui Gao, Meihong Ma and Yang Hong 

 

Further reading: Remote sensing Special issues  Articles on land degradation  ; desertification ; drought

remote sensing open access

About:  Remote Sensing — Open Access Journal. Remote Sensing (ISSN 2072-4292) is a peer-reviewed open access journal about the science and application of remote sensing technology, and is published semi-monthly online by MDPI