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.
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.
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.
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.
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