1,232
Views
0
CrossRef citations to date
0
Altmetric
Articles

One decade (2011–2020) of European agricultural water stress monitoring by MSG-SEVIRI: workflow implementation on the Virtual Earth Laboratory (VLab) platform

ORCID Icon, ORCID Icon, ORCID Icon, ORCID Icon, ORCID Icon & ORCID Icon
Pages 730-747 | Received 17 Dec 2021, Accepted 29 Mar 2022, Published online: 12 Apr 2022

References

  • Allen, R. G., L. S. Pereira, D. Raes, and M. Smith. 1998. “Crop Evapotranspiration: Guidelines for Computing Crop Requirements.” Irrigation and Drainage Paper No. 56, FAO 300. doi:10.1016/j.eja.2010.12.001.
  • Anderson, M. C., C. Hain, J. Otkin, X. Zhan, K. Mo, M. Svoboda, B. Wardlow, and A. Pimstein. 2013. “An Intercomparison of Drought Indicators Based on Thermal Remote Sensing and NLDAS-2 Simulations with US Drought Monitor Classifications.” Journal of Hydrometeorology 14: 1035–1056.
  • Anderson, M. C., C. Hain, B. Wardlow, A. Pimstein, J. R. Mecikalski, and W. P. Kustas. 2011. “Evaluation of Drought Indices Based on Thermal Remote Sensing of Evapotranspiration Over the Continental United States.” Journal of Climate 24: 2025–2044. doi:10.1175/2010JCLI3812.1.
  • Anderson, M., and W. Kustas. 2008. “Thermal Remote Sensing of Drought and Evapotranspiration.” Eos, Transactions, American Geophysical Union 89: 233–234.
  • Anderson, M. C., C. A. Zolin, P. C. Sentelhas, C. R. Hain, K. Semmens, M. Tugrul Yilmaz, F. Gao, J. A. Otkin, and R. Tetrault. 2016. “The Evaporative Stress Index as an Indicator of Agricultural Drought in Brazil: An Assessment Based on Crop Yield Impacts.” Remote Sensing of Environment 174: 82–99. doi:10.1016/j.rse.2015.11.034.
  • Bayat, B., F. Camacho, J. Nickeson, M. Cosh, J. Bolten, H. Vereecken, and C. Montzka. 2021. “Toward Operational Validation Systems for Global Satellite-Based Terrestrial Essential Climate Variables.” International Journal of Applied Earth Observation and Geoinformation 95: 102240. doi:10.1016/j.jag.2020.102240.
  • Bayat, B., C. Van der Tol, and W. Verhoef. 2016. “Remote Sensing of Grass Response to Drought Stress Using Spectroscopic Techniques and Canopy Reflectance Model Inversion.” Remote Sensing 8: 557. doi:10.3390/rs8070557.
  • Bayat, B., C. Van der Tol, and W. Verhoef. 2018. “Integrating Satellite Optical and Thermal Infrared Observations for Improving Daily Ecosystem Functioning Estimations During a Drought Episode.” Remote Sensing of Environment 209: 375–394. doi:10.1016/j.rse.2018.02.027.
  • Bayat, B., C. van der Tol, and W. Verhoef. 2020. “Retrieval of Land Surface Properties from an Annual Time Series of Landsat TOA Radiances During a Drought Episode Using Coupled Radiative Transfer Models.” Remote Sensing of Environment 238. doi:10.1016/j.rse.2018.09.030.
  • Bokusheva, R., F. Kogan, I. Vitkovskaya, S. Conradt, and M. Batyrbayeva. 2016. “Satellite-based Vegetation Health Indices as a Criteria for Insuring Against Drought-Related Yield Losses.” Agricultural and Forest Meteorology 220: 200–206.
  • Buchanan, B. B., W. Gruissem, and R. L. Jones. 2015. Biochemistry and Molecular Biology of Plants. Hoboken, NJ: John Wiley & Sons.
  • Cammalleri, C., and J. Vogt. 2015. “On the Role of Land Surface Temperature as Proxy of Soil Moisture Status for Drought Monitoring in Europe.” Remote Sensing 7: 16849–16864.
  • Chang, S., H. Chen, B. Wu, E. Nasanbat, N. Yan, and B. Davdai. 2021. “A Practical Satellite-Derived Vegetation Drought Index for Arid and Semi-Arid Grassland Drought Monitoring.” Remote Sensing 13: 414.
  • Chang, S., B. Wu, N. Yan, B. Davdai, and E. Nasanbat. 2017. “Suitability Assessment of Satellite-Derived Drought Indices for Mongolian Grassland.” Remote Sensing 9: 650.
  • Cook, E. R., R. Seager, M. A. Cane, and D. W. Stahle. 2007. “North American Drought: Reconstructions, Causes, and Consequences.” Earth-Science Rev 81: 93–134.
  • Ding, Y., M. J. Hayes, and M. Widhalm. 2011. “Measuring Economic Impacts of Drought: A Review and Discussion.” Disaster Prevention and Management 20 (4): 434–446. doi:10.1108/09653561111161752.
  • Fegraus, E. H., I. Zaslavsky, T. Whitenack, J. Dempewolf, J. A. Ahumada, K. Lin, and S. J. Andelman. 2012. “Interdisciplinary Decision Support Dashboard: A new Framework for a Tanzanian Agricultural and Ecosystem Service Monitoring System Pilot.” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 5: 1700–1708.
  • Ford, T. W., and S. M. Quiring. 2019. “Comparison of Contemporary in Situ, Model, and Satellite Remote Sensing Soil Moisture with a Focus on Drought Monitoring.” Water Resources Research 55: 1565–1582.
  • Gao, F., Y. Zhang, X. Ren, Y. Yao, Z. Hao, and W. Cai. 2018. “Evaluation of CHIRPS and its Application for Drought Monitoring Over the Haihe River Basin, China.” Natural Hazards 92: 155–172.
  • Ghilain, N., A. Arboleda, and F. Gellens-Meulenberghs. 2011. “Evapotranspiration Modelling at Large Scale Using Near-Real Time MSG SEVIRI Derived Data.” Hydrology and Earth System Sciences 15: 771–786. doi:10.5194/hess-15-771-2011.
  • Giuliani, G., B. Chatenoux, A. Benvenuti, P. Lacroix, M. Santoro, and P. Mazzetti. 2020a. “Monitoring Land Degradation at National Level Using Satellite Earth Observation Time-Series Data to Support SDG15–Exploring the Potential of Data Cube.” Big Earth Data 4: 3–22. doi:10.1080/20964471.2020.1711633.
  • Giuliani, G., P. Mazzetti, M. Santoro, S. Nativi, J. Van Bemmelen, G. Colangeli, and A. Lehmann. 2020b. “Knowledge Generation Using Satellite Earth Observations to Support Sustainable Development Goals (SDG): A Use Case on Land Degradation.” International Journal of Applied Earth Observation and Geoinformation 88: 102068. doi:10.1016/j.jag.2020.102068.
  • Giuliani, G., N. Ray, S. Schwarzer, A. De Bono, P. Peduzzi, H. Dao, J. Van Woerden, R. Witt, M. Beniston, and A. Lehmann. 2013. “Sharing Environmental Data Through GEOSS.” In Emerging Methods and Multidisciplinary Applications in Geospatial Research, edited by D. P. Albert and G. R. Dobbs, 266–281. Hershey, PA: IGI Global.
  • Gu, X., S. Jamshidi, H. Sun, and D. Niyogi. 2021. “Identifying Multivariate Controls of Soil Moisture Variations Using Multiple Wavelet Coherence in the U.S. Midwest.” Journal of Hydrology 602: 126755. doi:10.1016/j.jhydrol.2021.126755.
  • Hillier, D. 2012. A Dangerous Delay: The Cost of Late Response to Early Warnings in the 2011 Drought in the Horn of Africa. Oxford: Oxfam.
  • Hsiao, T. C. 1973. “Plant Responses to Water Stress.” Annual Review of Plant Physiology 24: 519–570.
  • Hu, G., L. Jia, and M. Menenti. 2015. “Comparison of MOD16 and LSA-SAF MSG Evapotranspiration Products Over Europe for 2011.” Remote Sensing of Environment 156: 510–526. doi:10.1016/j.rse.2014.10.017.
  • Hu, X., H. Ren, K. Tansey, Y. Zheng, D. Ghent, X. Liu, and L. Yan. 2019. “Agricultural Drought Monitoring Using European Space Agency Sentinel 3A Land Surface Temperature and Normalized Difference Vegetation Index Imageries.” Agricultural and Forest Meteorology 279: 107707.
  • Hu, T., L. J. Renzullo, A. I. J. M. van Dijk, J. He, S. Tian, Z. Xu, J. Zhou, T. Liu, and Q. Liu. 2020. “Monitoring Agricultural Drought in Australia Using MTSAT-2 Land Surface Temperature Retrievals.” Remote Sensing of Environment 236: 111419.
  • Jamshidi, S., S. Zand-Parsa, and D. Niyogi. 2021. “Assessing Crop Water Stress Index of Citrus Using in-Situ Measurements, Landsat, and Sentinel-2 Data.” International Journal of Remote Sensing 42: 1893–1916.
  • Jiang, R., J. Liang, Y. Zhao, H. Wang, J. Xie, X. Lu, and F. Li. 2021. “Assessment of Vegetation Growth and Drought Conditions Using Satellite-Based Vegetation Health Indices in Jing-Jin-Ji Region of China.” Scientific Reports 11: 1–18. doi:10.1038/s41598-021-93328-z.
  • Karnieli, A., N. Agam, R. T. Pinker, M. Anderson, M. L. Imhoff, G. G. Gutman, N. Panov, and A. Goldberg. 2010. “Use of NDVI and Land Surface Temperature for Drought Assessment: Merits and Limitations.” Journal of Climate 23: 618–633.
  • Kussul, N., M. Lavreniuk, A. Kolotii, S. Skakun, O. Rakoid, and L. Shumilo. 2020. “A Workflow for Sustainable Development Goals Indicators Assessment Based on High-Resolution Satellite Data.” International Journal of Digital Earth, doi:10.1080/17538947.2019.1610807.
  • Lawal, S., B. Hewitson, T. S. Egbebiyi, and A. Adesuyi. 2021. “On the Suitability of Using Vegetation Indices to Monitor the Response of Africa’s Terrestrial Ecoregions to Drought.” Science of the Total Environment 792: 148282. doi:10.1016/j.scitotenv.2021.148282.
  • Lehmann, A., J. Masò, S. Nativi, and G. Giuliani. 2020a. “Towards Integrated Essential Variables for Sustainability.” International Journal of Digital Earth 13: 158–165. doi:10.1080/17538947.2019.1636490.
  • Lehmann, A., S. Nativi, P. Mazzetti, J. Maso, I. Serral, D. Spengler, A. Niamir, et al. 2020b. “GEOEssential–Mainstreaming Workflows from Data Sources to Environment Policy Indicators with Essential Variables.” International Journal of Digital Earth 13: 322–338. doi:10.1080/17538947.2019.1585977.
  • Li, Y., M. Yu, M. Xu, J. Yang, D. Sha, Q. Liu, and C. Yang. 2020. Manual of Digital Earth. Singapore: Springer. doi:10.1007/978-981-32-9915-3.
  • Lidon, Z. Z., and F. Cebola. 2012. “An Overview on Drought Induced Changes in Plant Growth, Water Relations and Photosynthesis.” Emirates Journal of Food and Agriculture 24: 57–72.
  • Lu, J., L. Jia, M. Menenti, Y. Yan, C. Zheng, and J. Zhou. 2018. “Performance of the Standardized Precipitation Index Based on the TMPA and CMORPH Precipitation Products for Drought Monitoring in China.” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 11: 1387–1396.
  • Martínez-Fernández, J., A. González-Zamora, N. Sánchez, A. Gumuzzio, and C. M. Herrero-Jiménez. 2016. “Satellite Soil Moisture for Agricultural Drought Monitoring: Assessment of the SMOS Derived Soil Water Deficit Index.” Remote Sensing of Environment 177: 277–286. doi:10.1016/j.rse.2016.02.064.
  • McCallum, I., C. Montzka, B. Bayat, S. Kollet, A. Kolotii, N. Kussul, M. Lavreniuk, et al. 2019. “Developing Food, Water and Energy Nexus Workflows.” International Journal of Digital Earth 1–10. doi:10.1080/17538947.2019.1626921.
  • Mell, P., and T. Grance. 2011. The NIST-National Institute of Standars and Technology- Definition of Cloud Computing. Special Publication 800-145.
  • Mishra, A. K., and V. P. Singh. 2010. “A Review of Drought Concepts.” Journal of Hydrology 391: 202–216.
  • Mustafa, E. K., H. T. Abd El-Hamid, and M. Tarawally. 2021. “Spatial and Temporal Monitoring of Drought Based on Land Surface Temperature, Freetown City, Sierra Leone, West Africa.” Arabian Journal of Geosciences 14, doi:10.1007/s12517-021-07187-z.
  • Nativi, S., P. Mazzetti, and G. N. Geller. 2013. “Environmental Model Access and Interoperability: The GEO Model Web Initiative.” Environmental Modelling & Software 39: 214–228.
  • Nicolai-Shaw, N., J. Zscheischler, M. Hirschi, L. Gudmundsson, and S. I. Seneviratne. 2017. “A Drought Event Composite Analysis Using Satellite Remote-Sensing Based Soil Moisture.” Remote Sensing of Environment 203: 216–225.
  • Orhan, O., S. Ekercin, and F. Dadaser-Celik. 2014. “Use of Landsat Land Surface Temperature and Vegetation Indices for Monitoring Drought in the Salt Lake Basin Area, Turkey.” Scientific World Journal 2014: 142939. doi:10.1155/2014/142939.
  • Otkin, J. A., M. C. Anderson, C. Hain, I. E. Mladenova, J. B. Basara, and M. Svoboda. 2013. “Examining Rapid Onset Drought Development Using the Thermal Infrared–Based Evaporative Stress Index.” Journal of Hydrometeorology 14: 1057–1074.
  • Otkin, J. A., M. C. Anderson, C. Hain, and M. Svoboda. 2014. “Examining the Relationship Between Drought Development and Rapid Changes in the Evaporative Stress Index.” Journal of Hydrometeorology 15: 938–956.
  • Padhee, S. K., B. R. Nikam, S. Dutta, and S. P. Aggarwal. 2017. “Using Satellite-Based Soil Moisture to Detect and Monitor Spatiotemporal Traces of Agricultural Drought Over Bundelkhand Region of India.” GIScience & Remote Sensing 54: 144–166.
  • Petropoulos, G. P., G. Ireland, A. Cass, and P. K. Srivastava. 2015. “Performance Assessment of the SEVIRI Evapotranspiration Operational Product: Results Over Diverse Mediterranean Ecosystems.” Ieee Sensors Journal 15: 3412–3423. doi:10.1109/JSEN.2015.2390031.
  • Petropoulos, G. P., G. Ireland, S. Lamine, H. M. Griffiths, N. Ghilain, V. Anagnostopoulos, M. R. North, P. K. Srivastava, and H. Georgopoulou. 2016. “Operational Evapotranspiration Estimates from SEVIRI in Support of Sustainable Water Management.” International Journal of Applied Earth Observation and Geoinformation 49: 175–187. doi:10.1016/j.jag.2016.02.006.
  • Qin, Z., W. Li, M. Gao, and H Zhang. 2006. Remote Sensing for Agriculture, Ecosystems, and Hydrology Viii 297–304. doi:10.1117/12.689307.
  • Santoro, M., P. Mazzetti, and S. Nativi. 2020. “The VLab Framework: An Orchestrator Component to Support Data to Knowledge Transition.” Remote Sensing 12: 1795.
  • Santoro, M., S. Nativi, and P. Mazzetti. 2016. “Contributing to the GEO Model Web Implementation: A Brokering Service for Business Processes.” Environmental Modelling & Software 84: 18–34.
  • Santos, C. A. G., R. M. Brasil Neto, R. M. da Silva, and D. C. dos Santos. 2019. “Innovative Approach for Geospatial Drought Severity Classification: A Case Study of Paraíba State, Brazil.” Stochastic Environmental Research and Risk Assessment 33 (32): 545–562. doi:10.1007/s00477-018-1619-9.
  • Sepulcre-Canto, G., J. Vogt, A. Arboleda, and T. Antofie. 2014. “Assessment of the EUMETSAT LSA-SAF Evapotranspiration Product for Drought Monitoring in Europe.” International Journal of Applied Earth Observation and Geoinformation 30: 190–202.
  • Singh, R. P., S. Roy, and F. Kogan. 2003. “Vegetation and Temperature Condition Indices from NOAA AVHRR Data for Drought Monitoring Over India.” International Journal of Remote Sensing 24: 4393–4402.
  • Stall, S., L. Yarmey, J. Cutcher-Gershenfeld, B. Hanson, K. Lehnert, B. Nosek, M. Parsons, E. Robinson, and L. Wyborn. 2019. “Make Scientific Data FAIR.” Nature 570 (June): 27–29.
  • Szewczak, K., H. Łoś, R. Pudełko, A. Doroszewski, Ł Gluba, M. Łukowski, A. Rafalska-Przysucha, J. Słomiński, and B. Usowicz. 2020. “Agricultural Drought Monitoring by MODIS Potential Evapotranspiration Remote Sensing Data Application.” Remote Sensing 12. doi:10.3390/rs12203411.
  • Tavakol, A., K. R. McDonough, V. Rahmani, S. L. Hutchinson, and J. M. S. Hutchinson. 2021. “The Soil Moisture Data Bank: The Ground-Based, Model-Based, and Satellite-Based Soil Moisture Data.” Remote Sensing Applications: Society and Environment 24: 100649. doi:10.1016/j.rsase.2021.100649.
  • Toté, C., D. Patricio, H. Boogaard, R. der Wijngaart, E. Tarnavsky, and C. Funk. 2015. “Evaluation of Satellite Rainfall Estimates for Drought and Flood Monitoring in Mozambique.” Remote Sensing 7: 1758–1776.
  • Trigo, I. F., H. de Bruin, F. Beyrich, F. C. Bosveld, P. Gavilán, J. Groh, and R. López-Urrea. 2018. “Validation of Reference Evapotranspiration from Meteosat Second Generation (MSG) Observations.” Agricultural and Forest Meteorology 259: 271–285. doi:10.1016/j.agrformet.2018.05.008.
  • United Nations. 2015. Transforming Our World: The 2030 Agenda for Sustainable Development. New York: United Nations.
  • Van Ginkel, K. C. H., A. Y. Hoekstra, J. Buurman, and R. J. Hogeboom. 2018. “Urban Water Security Dashboard: Systems Approach to Characterizing the Water Security of Cities.” Journal of Water Resources Planning and Management 144: 4018075.
  • Vroege, W., J. Bucheli, T. Dalhaus, M. Hirschi, and R. Finger. 2021. “Insuring Crops from Space: The Potential of Satellite-Retrieved Soil Moisture to Reduce Farmers’ Drought Risk Exposure.” European Review of Agricultural Economics 48: 266–314. doi:10.1093/erae/jbab010.
  • Wan, Z., P. Wang, and X. Li. 2004. “Using MODIS Land Surface Temperature and Normalized Difference Vegetation Index Products for Monitoring Drought in the Southern Great Plains, USA.” International Journal of Remote Sensing 25: 61–72.
  • Wang, W., B. Vinocur, and A. Altman. 2003. “Plant Responses to Drought, Salinity and Extreme Temperatures: Towards Genetic Engineering for Stress Tolerance.” Planta 218: 1–14.
  • Wilhite, D. A., and M. Buchanan-Smith. 2005. Drought and Water Crises: Science, Technology, and Management Issues. Vol. 3, 1–29. Boca Raton, FL: CRC Press.
  • Wilkinson, M. D., M. Dumontier, I. J. Aalbersberg, G. Appleton, M. Axton, A. Baak, N. Blomberg, et al. 2016. “The FAIR Guiding Principles for Scientific Data Management and Stewardship.” Scientific Data 3: 1–9.
  • Yang, Y., M. C. Anderson, F. Gao, J. D. Wood, L. Gu, and C. Hain. 2021. “Studying Drought-Induced Forest Mortality Using High Spatiotemporal Resolution Evapotranspiration Data from Thermal Satellite Imaging.” Remote Sensing of Environment 265: 112640. doi:10.1016/j.rse.2021.112640.
  • Yang, C., M. Goodchild, Q. Huang, D. Nebert, R. Raskin, Y. Xu, M. Bambacus, and D. Fay. 2011. “Spatial Cloud Computing: How Can the Geospatial Sciences use and Help Shape Cloud Computing?” International Journal of Digital Earth 4: 305–329.
  • Yang, M., W. Zhao, Q. Zhan, and D. Xiong. 2021. “Spatiotemporal Patterns of Land Surface Temperature Change in the Tibetan Plateau Based on MODIS/Terra Daily Product from 2000 to 2018.” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 14: 6501–6514. doi:10.1109/JSTARS.2021.3089851.
  • Zambrano, F., B. Wardlow, T. Tadesse, M. Lillo-Saavedra, and O. Lagos. 2017. “Evaluating Satellite-Derived Long-Term Historical Precipitation Datasets for Drought Monitoring in Chile.” Atmospheric Research 186: 26–42.
  • Zhan, X., L. Fang, J. Yin, M. Schull, J. Liu, C. Hain, M. Anderson, W. Kustas, and S. Kalluri. 2021. “Remote Sensing of Evapotranspiration for Global Drought Monitoring.” Global Drought and Flood: Monitoring, Prediction, and Adaptation, edited by Huan Wu, Dennis P. Lettenmaier, Qiuhong Tang, and Philip J. Ward, 29–46. Washington, DC: American Geophysical Union (AGU).
  • Zhao, Q., Q. Chen, M. Jiao, P. Wu, X. Gao, M. Ma, and Y. Hong. 2018. “The Temporal-Spatial Characteristics of Drought in the Loess Plateau Using the Remote-Sensed TRMM Precipitation Data from 1998 to 2014.” Remote Sensing 10: 838.
  • Zhao, X., H. Xia, L. Pan, H. Song, W. Niu, R. Wang, R. Li, X. Bian, Y. Guo, and Y. Qin. 2021. “Drought Monitoring Over Yellow River Basin from 2003–2019 Using Reconstructed MODIS Land Surface Temperature in Google Earth Engine.” Remote Sensing 13, doi:10.3390/rs13183748.
  • Zhong, R., X. Chen, C. Lai, Z. Wang, Y. Lian, H. Yu, and X. Wu. 2019. “Drought Monitoring Utility of Satellite-Based Precipitation Products Across Mainland China.” Journal of Hydrology 568: 343–359.
  • Zhu, Q., Y. Luo, Y.-P. Xu, Y. Tian, and T. Yang. 2019. “Satellite Soil Moisture for Agricultural Drought Monitoring: Assessment of SMAP-Derived Soil Water Deficit Index in Xiang River Basin, China.” Remote Sensing 11: 362.