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www.gwpcee.org
Policy oriented study on
remote sensing agricultural
drought monitoring methods
Prof. János Tamás
IDMP CEE Final Workshop; 21-22 April, 2015, Bucharest, RomaniaApril 20152 www.gwpcee.org
Activity leader: Prof János Tamás...
Objectives
• To develop a process, which can provide information for
estimating relevant drought indexes and drought relat...
IDMP CEE Final Workshop; 21-22 April, 2015, Bucharest, RomaniaApril 20154 www.gwpcee.org
Implementation process
NDVI
Time
...
Identification and calibration of drought risk level
(Source: KSH and INSSE)
Green: optimal
(wet) years
Red: drought
affec...
Identification and calibration of drought risk level
Drought risk and signalling NDVI levels for maize and wheat
Drought risk evaluation and mapping
IWA 13th International Specialised Conference on Watershed and River Basin Management ...
IDMP CEE Final Workshop; 21-22 April, 2015, Bucharest, RomaniaApril 20158 www.gwpcee.org
1. Remote sensing toolbox for dro...
IDMP CEE Final Workshop; 21-22 April, 2015, Bucharest, RomaniaApril 20159 www.gwpcee.org
Outcomes
• Capacity building “Tra...
IDMP CEE Final Workshop; 21-22 April, 2015, Bucharest, RomaniaApril 201510 www.gwpcee.org
• The yield loss of wheat and ma...
IDMP CEE Final Workshop; 21-22 April, 2015, Bucharest, RomaniaApril 201511 www.gwpcee.org
 Our method is extendable for o...
IDMP CEE Final Workshop; 21-22 April, 2015, Bucharest, RomaniaApril 201512 www.gwpcee.org
The results of 5.5 activities ca...
IDMP CEE Final Workshop; 21-22 April, 2015, Bucharest, RomaniaApril 201513 www.gwpcee.org
Thank you!
tamas@agr.unideb.hu
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Fourth IDMP CEE workshop: Policy oriented study on remote sensing agricultural drought monitoring methods by Janos Tamas

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Fourth IDMP CEE workshop: Policy oriented study on remote sensing agricultural drought monitoring methods by Janos Tamas

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Fourth IDMP CEE workshop: Policy oriented study on remote sensing agricultural drought monitoring methods by Janos Tamas

  1. 1. www.gwpcee.org Policy oriented study on remote sensing agricultural drought monitoring methods Prof. János Tamás
  2. 2. IDMP CEE Final Workshop; 21-22 April, 2015, Bucharest, RomaniaApril 20152 www.gwpcee.org Activity leader: Prof János Tamás Partners: • Hungary (University of Debrecen and GWP HU): • Applied hydrological remote sensing and GIS; • Spatial Decision Supporting Systems • Romania (University of Oradea): • Geography and Integrated watershed management • Slovakia (Institute of Hydrology of the Slovak Academy of Sciences): • Agricultural water management, Soil hydrology Duration: July 2013 – January 2015 Main objectives: • RS and GIS based Agricultural Drought Monitoring and Yield Loss Forecasting Method for the important crops and fruits (wheat, corn and apple) • Integration of Agricultural Drought Monitoring and Yield Loss Forecasting Method (ADMYLFM) to agricultural drought management Basic information
  3. 3. Objectives • To develop a process, which can provide information for estimating relevant drought indexes and drought related agricultural yield losses more effectively from remote sensed spectral data. • New calculation method, which provides early information on physical implementation of drought risk levels • Allow the conversion of different purpose drought indices, such as meteorological, agricultural and hydrological ones, and more water- saving agricultural land use alternatives
  4. 4. IDMP CEE Final Workshop; 21-22 April, 2015, Bucharest, RomaniaApril 20154 www.gwpcee.org Implementation process NDVI Time Series Land use mask Calibration with yield statistical data Meteorological Data Calibration with Drought Index Soil Physical Data Calibration with available water content SDSS Classification Plant Specific Drought Risk Evaluation (1 – 5 risk levels) • Data acquisition and processing • Identification and calibration of biomass data and drought risk levels • Drought risk evaluation and mapping
  5. 5. Identification and calibration of drought risk level (Source: KSH and INSSE) Green: optimal (wet) years Red: drought affected years Blue: extreme precipitation Normalized yield of maize and wheat (2000-2012)
  6. 6. Identification and calibration of drought risk level Drought risk and signalling NDVI levels for maize and wheat
  7. 7. Drought risk evaluation and mapping IWA 13th International Specialised Conference on Watershed and River Basin Management - San Francisco, CA, USA , 9-12 Sept 2014. 7 2008
  8. 8. IDMP CEE Final Workshop; 21-22 April, 2015, Bucharest, RomaniaApril 20158 www.gwpcee.org 1. Remote sensing toolbox for drought monitoring mapping and yield loss 2. Agricultural Drought Monitoring and Yield Loss Forecasting Method includes five standard remote sensing based drought risk (threshold) levels. 3. The economic effect of yield loss on price 4. Integration of our method to drought management Final outputs
  9. 9. IDMP CEE Final Workshop; 21-22 April, 2015, Bucharest, RomaniaApril 20159 www.gwpcee.org Outcomes • Capacity building “Training for trainers” meeting in Szarvas, Hungary, 21-23. November 2013. • TV reports • National consultancy dialogues, Budapes, Hungary • IWA 13th International Specialised Conference on Watershed and River Basin Management - San Francisco, CA, USA , 9-12 Sept 2014 • World Conference on Computers in Agriculture and Natural Resources, University of Costa Rica, San Jose, Costa Rica, July 27th- 30th, 2014 • European Geoscience Union General Assembly, 12-17 April 2015 Follow up outcomes: • 14th International Conference on Environmental Science and Technology (CEST2015), 3-5 September 2015, Rhodes, Greece • Hungarian Hydrologist Council, Szombathely, Hungary 1-3. July 2015.
  10. 10. IDMP CEE Final Workshop; 21-22 April, 2015, Bucharest, RomaniaApril 201510 www.gwpcee.org • The yield loss of wheat and maize can be predicted 6-12 weeks before harvest and drought effected sites can be delineated more accurately. • The impact of agriculture drought on can be diagnosed, which is the most vital need for stakeholders. • Facilitates drought intervention activities (Hungarian Cathastrope Authority, Agricultural Ministry, Farmer Chambers)) • A new drought related soil moisture regime in GIS database (Tisza watershed) to optimize water governance Added value
  11. 11. IDMP CEE Final Workshop; 21-22 April, 2015, Bucharest, RomaniaApril 201511 www.gwpcee.org  Our method is extendable for other IDMP CEE countries.  In contrast with the conventional agricultural drought indexing methods, the expected yield loss can be estimated with 250*250 m spatial resolution based on remote sensing data .  The monitoring of drought through the possible yield loss of a specified crop is not appropriate with low spatial resolution datasets, such as fAPAR.  Better spatial resolution with time filtered series, provides smaller data oscillation and more homogenous changes of NDVI in pixel scale. Lessons learned and transferability
  12. 12. IDMP CEE Final Workshop; 21-22 April, 2015, Bucharest, RomaniaApril 201512 www.gwpcee.org The results of 5.5 activities can be strongly link with the follow up proposal (1-2-3-5) ! Further follow up recommendations: • Extension of the monitoring method and risk signaling system for other crop types and/or new satellite mission (CMOS, PROBE-V) based on TSA image processing • Developing of better spatial /temporal irrigation strategy • Interactive web-RS based drought risk and yield loss mapping • Investigation of the multilateral economic effect of yield losses within and outside CEE region Follow up
  13. 13. IDMP CEE Final Workshop; 21-22 April, 2015, Bucharest, RomaniaApril 201513 www.gwpcee.org Thank you! tamas@agr.unideb.hu

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