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The added-value of remotely-sensed soil moisture data for agricultural drought detection in Argentina

Mercedes Salvia, Nilda Sanchez, Maria Piles, Romina Ruscica, Angel Gonzalez-Zamora, Esteban Roitberg, Jose Martinez-Fernandez
2021 IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing  
In this research we explored the performance of the satellite-based Soil Moisture Agricultural Drought Index (SMADI) for agricultural drought detection in Argentina during 2010-2015, and compared it with  ...  Furthermore, field precipitation-based indices, yet simple and widely used, showed not to be suitable indicators for detection of agricultural drought for Argentina, neither in the 1-month nor in the 3  ...  Yet our results underline the value of using readily-available satellite-based soil moisture products for early detection of agricultural drought.  ... 
doi:10.1109/jstars.2021.3084849 fatcat:7fqphummlndklglj7xctlxlp6e

Earth Observations and Integrative Models in Support of Food and Water Security

Stephanie Schollaert Uz, Alex C. Ruane, Bryan N. Duncan, Compton J. Tucker, George J. Huffman, Iliana E. Mladenova, Batuhan Osmanoglu, Thomas R. H. Holmes, Amy McNally, Christa Peters-Lidard, John D. Bolten, Narendra Das (+4 others)
2019 Remote Sensing in Earth Systems Sciences  
Satellite remote sensing provides a consistent, long-term record that can be used effectively to detect large-scale features over time, such as a developing drought.  ...  Although we primarily focus on variables relevant to agriculture, we also include a brief description of the growing use of Earth observations in support of aquaculture and fisheries.  ...  of remotely sensed data for more informed decision-making and societal benefit.  ... 
doi:10.1007/s41976-019-0008-6 pmid:33005873 pmcid:PMC7526267 fatcat:a6atcj6wpjfgzbm373w4hmnhqe

Assessment of the soil water content in the Pampas region using SWAT

S.B. Havrylenko, J.M. Bodoque, R. Srinivasan, G.V. Zucarelli, P. Mercuri
2016 CATENA  
In the present study, we obtained a long-term record of soil water content (SWC) using a Soil and Water Assessment Tool (SWAT) model, for the first time in Argentina.  ...  The Pampas region has recently experienced an expansion of agriculture towards more fragile environments, which has been associated with an increase in the frequency of droughts affecting the whole region  ...  No 667/06) in the frame of the training grant of Sofía Havrylenko (Msc).  ... 
doi:10.1016/j.catena.2015.10.001 fatcat:hw5rlel4pfhknnvnj63yz5mfke

Initial soil moisture retrievals from the METOP-A Advanced Scatterometer (ASCAT)

Zoltan Bartalis, Wolfgang Wagner, Vahid Naeimi, Stefan Hasenauer, Klaus Scipal, Hans Bonekamp, Julia Figa, Craig Anderson
2007 Geophysical Research Letters  
Several recent cases of drought and excessive rainfall are clearly visible in the soil moisture data.  ...  Using model parameters derived from eight years of ERS scatterometer data, first global soil moisture maps have been produced from ASCAT data.  ...  This work has been supported by the Austrian Science Fund (L148-N10), EUMETSAT (EUM/CO/05/1421/HGB, H-SAF, NWP SAF Associate Scientist Programme), and the European Commission (geoland).  ... 
doi:10.1029/2007gl031088 fatcat:ay5xj7rwubahncrjphwv6at35e

Global relationships among traditional reflectance vegetation indices (NDVI and NDII), evapotranspiration (ET), and soil moisture variability on weekly timescales

Joanna Joiner, Yasuko Yoshida, Martha Anderson, Thomas Holmes, Christopher Hain, Rolf Reichle, Randal Koster, Elizabeth Middleton, Fan-Wei Zeng
2018 Remote Sensing of Environment  
Monitoring the effects of water availability on vegetation globally using satellites is important for applications such as drought early warning, precision agriculture, and food security as well as for  ...  in root-zone soil moisture (RZM) that extends to about 1 m depth.  ...  remotely sense as deeply into the soil and in situ soil moisture measurements are sparse in coverage.  ... 
doi:10.1016/j.rse.2018.10.020 pmid:31217640 pmcid:PMC6582971 fatcat:cjuuf5ilmfhydamj7a3mlhtcjy

Cereal Yield Forecasting with Satellite Drought-Based Indices, Weather Data and Regional Climate Indices Using Machine Learning in Morocco

El houssaine Bouras, Lionel Jarlan, Salah Er-Raki, Riad Balaghi, Abdelhakim Amazirh, Bastien Richard, Saïd Khabba
2021 Remote Sensing  
In conclusion, the results of this study pointed out that combining remote sensing drought indices with climate and weather variables using a machine learning technique is a promising approach for cereal  ...  In addition, the satellite drought indices are a major source of information for cereal prediction when the forecasting is carried out close to harvest (2 months before), while weather data and, to a lesser  ...  Acknowledgments: The authors acknowledge the Economic Services of the Ministry of Agriculture of Morocco for providing the crop production statistics.  ... 
doi:10.3390/rs13163101 fatcat:pd7euapkfrg4rc2niasbonif3u

Advances in Remote Sensing of Agriculture: Context Description, Existing Operational Monitoring Systems and Major Information Needs

Clement Atzberger
2013 Remote Sensing  
Many remote sensing applications are devoted to the agricultural sector. Representative case studies are presented in the special issue "Advances in Remote Sensing of Agriculture".  ...  To complement the examples published within the special issue, a few main applications with regional to global focus were selected for this review, where remote sensing contributions are traditionally  ...  contributions regarding the CDI drought index; and Anja Klisch, Francesco Vuolo and Matteo Mattiuzzi (BOKU Vienna) for providing inputs related to vegetation phenology and the MODIS processing chain.  ... 
doi:10.3390/rs5020949 fatcat:yclqblcxgjeb3ha2ohdqnc4obe

An Assessment of the Hydrological Trends Using Synergistic Approaches of Remote Sensing and Model Evaluations over Global Arid and Semi-Arid Regions

Wenzhao Li, Hesham El-Askary, Rejoice Thomas, Surya Prakash Tiwari, Karuppasamy P. Manikandan, Thomas Piechota, Daniele Struppa
2020 Remote Sensing  
of remotely sensed and physical process-based numerical modeling (e.g., Global Land Data Assimilation System (GLDAS) and Famine Early Warning Systems Network (FEWS NET) Land Data Assimilation System (  ...  Comparisons between satellite- (NASA-USDA Surface Soil Moisture and MODIS Evapotranspiration data) and model (FLDAS and GLDAS)-derived values over arid regions (BSh, BSk, BWh and BWk) have shown the over  ...  Acknowledgments: The first author acknowledge the support from the Earth Systems Science and Data Solutions (EssDs) Lab and Schmid College of Science and Technology, Chapman University.  ... 
doi:10.3390/rs12233973 fatcat:z443cyz57vek7l7r6u2tdgqpme

Early twenty-first-century droughts during the warmest climate

Felix Kogan, Wei Guo
2014 Geomatics, Natural Hazards & Risk  
The VH method was used for assessment of vegetation condition or health, including drought early detection and monitoring.  ...  The twenty-first-century droughts in the USA, Russia, Australia and Horn of Africa were intensive, long, covered large areas and caused huge losses in agricultural production, which affected food security  ...  Third, in the past few years, advanced remote sensing techniques have proven their perfect utility for operational drought management and impact estimation as a separate and additional tool to weather  ... 
doi:10.1080/19475705.2013.878399 fatcat:f34ggn646rdcvcoxqawnxgllwm

The Lincoln Declaration on Drought Indices: Universal Meteorological Drought Index Recommended

Michael Hayes, Mark Svoboda, Nicole Wall, Melissa Widhalm
2011 Bulletin of The American Meteorological Society - (BAMS)  
Special thanks to Mannava Sivakumar and Robert Stefanski at the WMO and Donald Wilhite at the University of Nebraska-Lincoln for their contributions to this article and for their effort in organizing the  ...  , remote sensing, impacts, etc.); • data retrieval and storage [quality assurance (QA) and quality control (QC)]; • derivative interpretation and value-added deliverables (products/tools); • integration  ...  and application of various models, such as Land Data Assimilation Systems (LDAS), potential evapotranspiration, soil moisture, groundwater, etc.; • translation from data to information, which is critical  ... 
doi:10.1175/2010bams3103.1 fatcat:txfsoqfqczbldf2r4jxbwzftye

SMAP soil moisture improves global evapotranspiration

Adam J. Purdy, Joshua B. Fisher, Michael L. Goulden, Andreas Colliander, Gregory Halverson, Kevin Tu, James S. Famiglietti
2018 Remote Sensing of Environment  
As water for ET is sourced from the soil, incorporating soil moisture into global remote sensing algorithms of ET should, in theory, improve performance, especially in water-limited regions.  ...  Satellite-driven ET models provide global estimates, but many of the ET algorithms have been designed independently of soil moisture observations.  ...  The results from these sites demonstrate soil moisture has no added value in areas of high soil water availability.  ... 
doi:10.1016/j.rse.2018.09.023 fatcat:g6y3hfhrvfd2dhjcfx5kncfupa

Ground, Proximal and Satellite Remote Sensing of Soil Moisture

Ebrahim Babaeian, Morteza Sadeghi, Scott B. Jones, Carsten Montzka, Harry Vereecken, Markus Tuller
2019 Reviews of Geophysics  
Despite the impressive progress over the last decade, there are still many opportunities and needs to, for example, improve SM retrieval from remotely sensed optical, thermal, and microwave data and opportunities  ...  Soil moisture (SM) is a key hydrologic state variable that is of significant importance for numerous Earth and environmental science applications that directly impact the global environment and human society  ...  The authors declare that there is no conflict of interest.  ... 
doi:10.1029/2018rg000618 fatcat:hcfa2uqiz5ffnf7o3fijc6rnwu

Desertification—Scientific Versus Political Realities

Geert Sterk, Jetse J. Stoorvogel
2020 Land  
Later desertification assessments relied on remote sensing imagery and mapped vegetation changes in drylands. No examples of large areas completely degraded were found in the scientific literature.  ...  The aim of this article is to review the history of desertification and to evaluate the scientific evidence for desertification spread and severity.  ...  Conflicts of Interest: The authors declare no conflict of interest. References  ... 
doi:10.3390/land9050156 fatcat:pgxtvpddrbdk3b3nuaovgeop74

Extreme events in the La Plata basin: a retrospective analysis of what we have learned during CLARIS-LPB project

AF Carril, IFA Cavalcanti, CG Menéndez, A Sörensson, N López-Franca, JA Rivera, F Robledo, PG Zaninelli, T Ambrizzi, OC Penalba, RP da Rocha, E Sánchez (+11 others)
2016 Climate Research (CR)  
Extreme climate events over the La Plata basin (LPB) can produce significant impacts due to the importance of the regional agriculture and hydroelectric power production for the local economy.  ...  Progress on describing, projecting and understanding extremes in LPB, in the framework of the CLARIS-LPB Europe-South America Network for Climate Change Assessment and Impact Studies in La Plata Basin  ...  In that sense, the study of the soil moisture− atmosphere interactions over the LPB is a relatively new issue.  ... 
doi:10.3354/cr01374 fatcat:g2tjjvewi5hilk4tjvvmwqco2y

Climate Change and Food Security: The Impact of Some Key Variables on Wheat Yield in Kazakhstan

Stanislav E. Shmelev, Vitaliy Salnikov, Galina Turulina, Svetlana Polyakova, Tamara Tazhibayeva, Tobias Schnitzler, Irina A. Shmeleva
2021 Sustainability  
soil moisture index, which in turn depends on precipitation levels and temperatures.  ...  The obtained results can be used in the process of creating effective mechanisms for adaptation to climate change and droughts based on their early diagnosis.  ...  Conflicts of Interest: The authors declare no conflict of interest. Sustainability 2021, 13, 8583  ... 
doi:10.3390/su13158583 fatcat:hvoep4dfa5g35nsk5jsjby5yky
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