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Improved Agricultural Monitoring Systems through satellite imagery for IRAN: Briefing and Project progress

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http://www.fao.org/inaction/improve-agriculture-monitoring-systems-for-iran
Following the launch of the project to enhance Agriculture Monitoring Systems by FAO and Government of Iran, an inception workshop took place, for introducing the topic, its priorities, objectives, outcomes, methodologies, planned progresses, outputs and participants. These presentations are the related available documents.

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Improved Agricultural Monitoring Systems through satellite imagery for IRAN: Briefing and Project progress

  1. 1. Improved Agricultural Monitoring systems through satellite imagery for IRAN BRIEFING AND PROJECT PROGRESS PROJECT Gianluca Franceschini Technical coordinator and GIS|RS expert (CBDS) Climate, Biodiversity, Land & Water Department (CB), UNFAO
  2. 2. OUTPUT 1 Innovative, up to date and complementary agriculture monitoring systems enabling the integration of satellite remotely-sensed data are developed. DELIVERABLES OUTPUT 1 • Deliver meetings/workshops including inception wsh with the stakeholders. • Detailed technical document describing the result of the assessment, the areas for improvement, and recommending a cost-effective methodology for estimating the area under major crops at national level. • Database included all the existing agriculture, geographic and administrative information including multi-temporal Sentinel 2 data, etc. • Land cover DB/map with focus on agriculture area based on FAO land cover methodology and standards (LCML). • Cropland Information including the main crop types and the main seasonal crop dynamics based on cropland map and satellite information/indicators. • Document/report describing alternative approaches for the continuity of satellite data products for monitoring of crop growth.
  3. 3. International and National Consultants hired • TORs for international and national consultants prepared. • Selection criteria prepared for each TOR. • VA published in the FAO website. • Evaluation of the applications and CVs. • Final selection and hiring of staff. Inception WSH organised and outreach materials developed • Skins, leaflet, banner, presentations brouchures etc. Implementation Plan developed OUTPUT 1 – Status of activities
  4. 4. • 1.1 Stakeholders’ meeting(s)/workshop(s) for the identification of the main current methods and tools. • 1.2 Assess the current crop area and yield estimation methodology and identify the most appropriate and cost-effective approach based on integral use of geospatial technology. • 1.3 Assess the existing data collection methodology and identify the most suitable and cost-effective approach integrated with geospatial technologies. • 1.4 Assess the current frame methodology and identify the most appropriate type of frame development / migration and/or multiple frame. • 1.5 Establish a baseline of current approaches, gaps and limitations of current procedures and identify areas for improvement and the main sustainable methods and tools for improvement. On going OUTPUT 1 – Status of activities
  5. 5. • 1.6 Collect all kinds of available existing agriculture, statistics, geographic, geospatial, administrative and other socio-economic information and introduce in a database: On going • 1.7 Develop land cover/cropland DB/map based on the recent satellite imagery and FAO Land Cover methodology for the selected areas: Mazandaran completed, Zanjan on going (50%), Jiroft on going (75%) • 1.8 Generate cropland Information including the main crop types and the main seasonal crop dynamics for the three selected areas (Mazandaran and Zanjan provinces and Jiroft county): crop calendar available, multi-temporal NDVI computed, ground field data to be collected by national counterpart; • 1.9 Develop alternative approaches for monitoring of crop growth based on RS: on-going. • Open question: official provincial boundaries needed! IMAGE COVERAGE ZENJAN PROVINCE MAZANDARAN PROVINCE OUTPUT 1 – Status of activities
  6. 6. FAO LC Mapping approach: • Develop LC Legend based on FAO LCML (ISO standard) approach throgh a wide national experts partecipation. • LC Legend analysis and photo-keys preparation. • Selection and download of cost-free, recent and high resolution satellite imagery (Sentinel-2 of 10m res.). • Segmentation of the satellite imageries. • Image interpretation (through FAO LC Toolbox). • Field survey and validation. • Statistics generation. • Final analysis. LCCS LEGEND OUTPUT 1 – Status of activities
  7. 7. DELIVERABLES OUTPUT 2 • Sentinel based - crop/non crop map for selected provinces. • Rice crop area and yield estimation; Crop masks and monthly NDVI. • Develop methodological document for standard working procedure to perform the crop masks and area estimation. • Area frame stratification. • Technical report recommending a cost-effective methodology for estimating the area under major crops at national level to be ended under UTF. • Project proposal for a larger UTF project for improving crop status monitoring, area and yield estimates based on proved methodologies extended at national level. Sustainable methods and tools for crop area and yield estimation through integration of remote sensing and sampling in the field to identify appropriate sites for yield estimation and crop cutting exercise and to be used as a calibrator for the area frame are developed in selected provinces as a demonstrator for the larger UTF. OUTPUT 2
  8. 8. • Satellite imagery (Sentinel 2) selected and downloaded. • Geoprocessing of satellite data-completed. • RS indicators completed. • Develop crop systems map: on going. OUTPUT 2 – Status of activities
  9. 9. Approach proposed for crop area estimation and mask development not started yet: 1. Development stratification according to crop intensity. 2. Development of an Area Frame Sampling. 3. System Validation. 4. Area Frame data collection. 5. Regression Estimator. OUTPUT 2 – Status of activities
  10. 10. Provincial crop reporting capability to provide crop area and yield estimations to the public through regular and timely market-oriented reports containing actionable information useful for decision-making by farmers and other interested in the crop market are improved in selected provinces as a demonstrator for the larger UTF. DELIVERABLES OUTPUT 3 • Assessment of the provincial crop reporting services and their capability to utilize geospatial technology, field and other data for producing and market-oriented reports on crop estimation and forecasts. • Guideline describing the main approaches for the preparation of the reports/bulletin relying on satellite based crops information. • Reports/bulletins for the selected provinces based on the satellite- based estimate of area of crops and vegetation information. • Agricultural experts system at national and provincial level, which can report on crop stage and condition in a timely manner. STATUS OF ACTIVITIES: will start at the end of 2017 OUTPUT 3
  11. 11. Capacity development through transfer of relevant methods, good practices and learning materials and, exchange of development solution through South to South Cooperation on agriculture monitoring optimized by use of geospatial technology are achieved. DELIVERABLES OUTPUT 4 • Web-trainings, On-the-job-training and Training of trainers in application of RS and GIS for crop monitoring, AF and statistics generation: web-trainings completed. • 2 Study tours: not delivered yet. • Curriculum of several modules on “Geospatial information and technology for agriculture statistics”: on-going. • Satellite-based crop estimates reports/bulletins for the selected provinces: on-going. • High-quality e-learning and training materials, guidelines, manuals and source books: on-going; • Outreach and communication materials: completed. • Workshops/ seminars. Closure workshop for the presentation of the results. OUTPUT 4
  12. 12. • Webinars on Land Cover mapping FAO LCML approach: started and terminated. • Webinars on Geospatial Technology for Agriculture Statistics started and completed. • Outreach and communication materials about the project: developed. OUTPUT 4 – Status of activities
  13. 13. Webinar training on: “An overview of Land Cover Classification LCCS” • 5 Webinars from 8 April - 16 April 2017 • Duration and timing of 60-120 min. • Divided in 5 sessions, completed in 5 working days. • Lessons format: presentation (PPT) and Tutorials. • Participants curriculum: R.S. GIS specialists dealing with the production and/or the utilization of Land Cover/Land Use information. • Participants: 10 staff from: FROWO, MOJA, IFO, ACWMRI, APERDRI Training completed OUTPUT 4 – Status of activities
  14. 14. OUTPUT 4 – Status of activities Webinar training on: “Methodological aspects of the Geospatial technology for agriculture statistics” • 15 Webinars from 20 February – 6 June 2017 • Duration and timing of 60-75 min. • Divided in 10 working days. • Lessons format: presentation (PPT) and Tutorials. • Participants curriculum: statistics and remote sensing specialists dealing with the production of agricultural statistics willing to take advantage of advanced technological tools and methods. • Participants: 10 staff from FROWO, MOJA, IFO, ACWMRI, APERDRI. Training on going
  15. 15. Outreach and communication materials about the project: developed • Flyers • Brochure • Posters A0 • Skin for big panel • WSH materials • Others…. Inception workshop start Type of document: printed big banner Author: Food and Agriculture Organization of the United Nations (FAO) Place and year of publication: IRAN, 2017 OUTPUT 4 – Status of activities
  16. 16. Gianluca.Franceschini@fao.org THANK YOU!

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