Agri Punjab, Agriculture Department Agri Sindh, Agriculture Department University of Maryland Pakistan Space and Upper Atmosphere Research Commission U.S. Department of Agriculture Food and Agriculture Organization of the United Nations
methodologies and tools last update: 26-02-2016 5:25:10 PM go to home page see contacts


This project aims to evaluate traditional list frame survey designs versus rigorous analysis of area so that the costs and benefits of each methodology can be identified and a robust country-wide survey can be designed.

With initial funding from the GOP and FAO and technical support from FAO and others, SUPARCO developed a strategy to produce consolidated crop area and production statistics utilizing statistically sound, harmonized methodology that leverages data collected by both Crop Reporting Services (CRS) of the provinces and Pakistan's Meteorological Department. The follow-up project will grow provincial capacity for improved crop estimates and integrate more fully the use of remotely sensed data into the provincial crop reporting services.

crop yield forecast / estimates: model

flood map 2010: vegetation difference High resolution satellite remote sensing will be used as a base for extracting land cover digital data at a scale equal or greater than 1: 50,000 or larger which are particularly well suited for detailed environmental resource assessment. Land cover maps and other geographic layers would be integrated into GIS capable of handling many data sources including additional remotely sensed data, ground surveys and aerial photographs. The integration of land cover data with other resource types will improve the quality of resource management in the country. The potential of GIS to integrate data of a different type and nature, make it an extremely useful tool for comprehensive analysis of physical, social and economic parameters. GIS derived information can be further processed using decision support systems for policy planning and environment management.

In addition, Pakistan also intends to develop algorithm and procedure to monitor national calamities as floods, cyclones and drought and their impact on agriculture sectors.

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Sep 2, 2015 - A new amendment (no. 3) was signed by USDA and FAO to formalize a no-cost extension of the project GCP/PAK/125/USA from Oct 1, 2015 to Sep 30, 2016.

  recent updates

Aug 8, 2016. E-bulletin 11, Apr-Jun 2016.

Aug 5, 2016. E-learning courses on agriculture monitoring and statistics.

Aug 5, 2016. FAO's ECONET approach and land cover change in Pakistan.

Aug 5, 2016. Training on Carbon Sequestration.

Aug 5, 2016. CRS Punjab bulletins Apr 2016.

Apr 22, 2016. Cotton Production & Analytics.

Mar 1, 2016. Testing Sentinel-2 images for crop monitoring in Pakistan.

Feb 20, 2016. Crop Information Portal training.

Jan 20, 2016. Sugarcane Production & Analytics.

Jan 20, 2016. Training on REDD+ Technology for Forest Department Officers of Punjab.

Oct 29, 2014. Agriculture Information System project: roll-out workshop.

Aug 13, 2015. RS/GIS Training in Forest Management, Lahore, 4-8 May 2015.

FAO Pakistan website >>>>


Forum: "Pakistan Agriculture Sector". >>>>


SUPARCO, the National Space Agency of Pakistan >>>>


Government of Sindh: Agriculture Department >>>>


Agri Punjab >>>>

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