FAO Training in Crop Yield Forecasting - Remote Sensing - Method for Crop Yield Forecasting System (CYFS) from spatial Remote Sensing for Tajikistan. Integration of PROBA-V NDVI images. Belgium - Arlon Campus Environment - January 2015.

摘要

This manual has been written for the “Training for strengthening crop yield forecasting capacity of the State Administration for Hydrometeorology (Hydromet) of Tajikistan” that occurred between 12nd January and 7th February 2015 in Arlon – Belgium in the framework of the Food and Agriculture Organization (FAO) of the United Nations Project (GCP/TAJ/007/EC) “Support to Strengthening the National Food Security Information System in Tajikistan”. This manual is intended to cover the Remote Sensing part only of the general Crop Yield Forecasting System (CYFS). Despite written for the Tajik context this manual can serve as an example for all other countries.This manual follows on from the 2 manuals entitled:1) “FAO Training in Crop Yield Forecasting ARMENIA - Erevan – May 2011 – Remote Sensing”. 2) “FAO Training in Crop Yield Forecasting. Improvement of the Crop Yield Forecasting System (CYFS) in Armenia: a new approach for satellite data integration. ARMENIA - Yerevan - January 2013.”This manual, in addition to adapt the method to Tajik context, integrates for the first time the NDVI images of PROBA-V satellite. These images continue the stopped SPOT-VEGETATION time’s series, from 2014 to undefined future.