parctop.gif (4372 bytes)

 

 

Resource Use Planning and Systems Simulations Programme

 

The Remote Sensing (RS) and Geographic Information Science (GIS) are becoming essential tools and techniques to understand, plan and monitor the complex interrelated natural as well as man- made systems. The RS can give a quick, economical and reasonably accurate mean to understand the resource base which at times was inaccessible.
 

OBJECTIVES

RESEARCH ACHIEVEMENTS

Spatial Database Development

A comprehensive data records/toposheets/thematic maps from various data collecting institutions like Agricultural Statistics of Pakistan, Water and Power Development Authority (WAPDA), Soil Survey of Pakistan, Pakistan Meteorological Department and Survey of Pakistan have been collected and a spatial digital database has been developed. Some of the examples of such datasets are:

  • Crop databases on area and yield parameters: These databases were developed using the Agricultural Staistics of 2004-05. These databases are being used for identifying cropping patterns, trend analysis, and as supporting data for policy makers, researchers and progressive farmers.

 

  • Database on HKH region of Pakistan: It is going to be used for sustainable mountain development activities.  

Characterization and Classification

Resource Inventories

Several studies have been carried out for resource inventory of various systems. The most important one among these is the inventory of glaciers, glacial lakes and potentially dangerous glacial lakes in HKH region of Pakistan. It is a regional initiative supported by ICIMOD, APN, UNEP and START. The information is available in the form of CD.

Band Analysis of Glaciers

Diagnostic analysis

In the catchment areas of main reservoirs and small dams of the country, the problem of soil erosion and land degradation is on rise thus threatening the life of the reservoirs. In collaboration with JIRCAS, Japan a methodology has been established to develop the management strategies for watershed areas. Using the processed/classified satellite image and various GIS layers, the most sensitive areas prone to erosion have been identified for immediate watershed management. Furthermore, surface hydrology was correlated with ground water hydrology for identification of recharge potential.

 

Socio Economic Analysis

To correlate the poverty levels with natural resources endowment, in collaboration with ICARDA, Syria a study was initiated in WANA region of Pakistan. The baseline GIS layers, for natural resources, agriculture and socio-economic parameters were developed for Balochistan province of Pakistan. A detailed analysis for poverty levels and natural resources were carried out and the correlations between these two parameters were studied.

 

SCIENTIFIC INVOLVED

  1. Dr. Arshad Ashraf, PSO

  2. Engr. Rozina Naz, SSO

 


[ Back to WRRI ]        [ Back to PARC ]        [ Back to NARC ]