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
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Satellite-driven Global Agricultural Monitoring (GLAM) for Pakistan


The Pakistan's GLAM initiative derives from the USDA-FAS project "Global Agricultural Monitoring", which promotes at global scale improved monitoring of the impact of climate hazards, such as drought, large scale flooding, and snow storms, on agricultural production.

GLAM of Pakistan is a MODIS based web portal designed and implemented by University of Maryland (USA) for direct access to Web based MODIS vegetation conditioning and anomalies analysis at different spatial and temporal scales. GLAM aims to enhance the capacity of Provincial Crop Reporting Services (CRS) for improved, timely forecasts on crop condition and production.

glam GUI

The system includes the definition of different input parameters, image visualization and graphical interpretation of vegetation conditions (see figure). Input parameters include MODIS composite product which is 8 and 16 days angular normalized product. Eight day MODIS product provides in detail the crop phonological development whereas 16 products are more reliable in term of cumulative composite. This portal is integrated with vector data layers to carry out vegetation condition monitoring at provincial, divisional and district level. Moreover, it also provides tool for AOI based rectangular grid analysis of vegetation anomaly analysis which range from 0.25 to 4900 Km2. Most important is automated generation of NDVI profile graphs from MODIS and its histogram analysis.

GLAM based Agriculture Information System follow the hierarchical MODIS data harvesting into the database for standardized processing. This database works on two data schemes of near real time (NRT) and Standard Processing.

glam schema

Main products are Normalized Difference Vegetation and Normalized Difference Water index. Both indices are related to vegetation health monitoring over time in relation to biomass accumulation as well as water stress of vegetation. These 8 and 26 days composites vary in temporal domain mainly due to time resolution difference. Eight composite normally has high peak indices values as compared to 16 days composites. 16 days composites are more generalization of vegetation conditioning over time.

The interactive use of GLAM Agriculture Information system portal will enable users to do crop growing season analysis and impact of different crop masks, peak season identification, vegetation stress or anomaly detection and damage assessments and relationship analysis of NDVI with crop yields. Following screenshots shows the outputs possible to produce with tis information portal. The system will over all contribute to identify the gaps and needs based analysis to improve the agricultural system of Pakistan.

glam output
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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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