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
geospatial systems last update: 26-02-2016 5:26:02 PM go to home page see contacts


Punjab and Sindh CRSs estimate and forecast crop production through the use of satellite imagery and field data, as well as other information, and provide timely and actionable market-oriented reports with estimates and forecasts.

Various spatially-enabled tools have been or are under development to support CRSs' capacity to perform their job efficently and consistently.

crop portal The Crop Information Portal is a component of the Pakistan Agriculture Information System. It is being developed to support data and information dissemination on Pakistanís major crops (wheat, maize, rice, cotton and sugarcane) and agro-meteorological conditions affecting crop growth. It will make available to WEB users the historical archive and the latest produced crop and agro-meteorological data, integrated with satellite based information into a GIS like environment. The Portal allows advanced filtering of the DB based on the combination of user defined spatial and temporal parameters, focusing on specific crops or environmental factors, which are stored into the system, to produce standard outputs such as summary tables, maps, charts and user defined reports.

The GLobal Agriculture Monitoring (GLAM) system provides timely (within 24 hours) MODIS data products and archive (starting from year 2000) for monitoring crop conditions and progress during the growing season in Pakistan. It provides a set of tools that enables customized queries by the trained user for comparing current season conditions relative to previous seasons or time steps within the current season, using a selection of crop masks, crop type indicators, and regions of interest. The GLAM-Pakistan system also provides trained users with the ability to run the GLAM Wheat model that is being developed for Pakistan in order to forecast wheat yields prior to harvest. This system it is being tested and refined in close collaboration with CRS and SUPARCO.

smartphone picture The MAGIS system will allow crop reporters to collect digital, georeferenced data in the field and relay these data via the cell phone network or via internet (e.g. WiFi connection at the local office) to the central MAGIS server to be installed at the CRS office. The data on the server will be stored in a database and be accessible to CRS statisticians for further analysis.

The Area Frame Sampling System (AFSS) is the proposed solution by SUPARCO for automation of area frame survey in Punjab and Sindh provinces. It is a client server system consisting of i) field survey (mobile/smart phone) application; the ii) communication server application; and iii) database and mapping application.

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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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