Crop Monitor for AMIS
The GEOGLAM Crop Monitor  for the Agricultural Market Information System (AMIS) is a monthly bulletin on current growing conditions for the four major crops (wheat, maize,... More detail
Crop Monitor for Early Warning
The Crop Monitor for Early Warning (CM4EW) is a monthly, multi-source consensus bulletin assessing crop conditions in countries at risk for food insecurity, to anticipate... More detail
Rangelands and Pasture Productivity (RAPP)
The GEOGLAM RAPP initiative aims to improve global monitoring of rangelands and pastures, assessing their capacity to sustainably produce animal protein.   ... More detail
Asia Rice Crop Estimation and Monitoring (Asia-RiCE)
The Asia-RiCE initiative aims at improving operational rice crop monitoring and estimation using Earth observations in the Asian region.            ... More detail
Research and Development Towards Operations
The R&D component of GEOGLAM develops monitoring and reporting protocols, tools, and best practices suitable for monitoring the variety of global agricultural systems.... More detail
Earth Observation Data Acquisition and Dissemination Coordination
A close cooperation with Committee on Earth Observation (CEOS) to ensure provision of necessary satellite data for global crop monitoring, in a context of new satellites being... More detail
prev
next

Capacity Building in Pakistan

What is the Project?
The objective of this project is to enhance current operational agricultural monitoring capabilities within the Crop Reporting Services (CRS) in Pakistan through the use of remotely sensed data and their integration into existing data collection, analysis, and dissemination systems. The project is further developing the existing crop yield forecasting and area estimation at a provincial level through the development of a regularly scheduled series of actionable crop production reports developed by the CRS that utilize enhanced remote sensing based information systems, area-yield survey data, and mobile technologies.

Project Partners:
The project is a collaboration between the Government of Punjab and Sindh Crop Reporting Services, (CRS), SUPARCO (Pakistan’s Space Agency), University of Agriculture Faisalabad , Sindh Agriculture University Tando Jam, Center for Global Agricultural Monitoring Research at the University of Maryland, Department of Geographical Sciences , UN FAO, funded and coordinated by USDA.
In addition to multiple training workshops and field campaigns, a range of spatial tools and systems have been developed as part of this project including the following:

Global Agricultural Monitoring System
An advanced version of the UMD GLAM system was developed and customized to the local conditions and requirements of the Crop Reporting Service (GLAM-Pakistan, Figure 1) through a close collaboration with CRS, SUPARCO and the partner universities. This system provides time series of MODIS data (within 24 hours of acquisition) for monitoring crop conditions, progress and yields along with crop masks, and a set of analysis tools. The CRS is using the portal to help interpret data collected by their crop reporters in the field and to write and publish crop bulletins with outlook to the future harvest The Pakistani universities are supporting the CRSs in their respective province with technical support as well as agronomic knowledge such as crop phenology and development cycles in order to facilitate interpretation of the GLAM-Pakistan data.

graph1

Figure 1: The Global Agriculture Monitoring (GLAM) system webpage designed specifically for Pakistan. This screenshot shows the 8-Day NDVI for 22-30 March 2013 for Punjab under a wheat mask derived as the average of MODIS wheat area classifications from 2008-2013. Inset is a time series plot of NDVI of the current year (red) over the long-term average (purple). Deviations in NDVI can be used to forecast crop productivity.


The Crop Information Portal

This is a component of the Pakistan Agriculture Information System developed by FAO in close collaboration with the project partners. It is being developed to support data and information dissemination on Pakistan’s 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 (Figure 2). 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.

graph2

Figure 2: Pakistan Agriculture Information System – CROP Information Portal.

The MAGIS System for Field Data Collection
This is an open-source cell-phone based system that allows 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 at the CRS offices (Figure 3). This mobile system is aimed at improving and streamlining the existing paper-based field data collection for field assessments and for the village frame crop area estimates and make these more efficient and timely. It is developed by UMD (Geo-ODK) in close collaboration with partners.

graph3

Figure 3: A schematic of MAGIS

The Area Frame Sampling System (AFSS)
This 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. There have been several workshops and hands-on trainings for the CRSs and the universities in the use of the GLAM-Pakistan portal and the MAGIS system (Figure 4). The CRSs have published several drafts of advanced monthly crop bulletins using data and figures from GLAM-Pakistan. All institutions have been equipped with servers and work stations with GLAM-Pakistan and GIS capabilities for data management and analysis and the production of high-quality figures and graphs.

image4

Figure 4: The Global Agriculture Monitoring (GLAM) system webpage designed specifically for Pakistan. This screenshot shows the 8-Day NDVI for 22-30 March 2013 for Punjab under a wheat mask derived as the average of MODIS wheat area classifications from 2008-2013. Inset is a time series plot of NDVI of the current year (red) over the long-term average (purple). Deviations in NDVI can be used to forecast crop productivity.

For more information on the project please visit: http://dwms.fao.org/~test/home_en.asp