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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Land Use / Land Cover

Background | Methodology | Legend | Punjab-Sindh | KP-FATA | Baluchistan | Atlases

Land Cover / Land Use

The agriculture and socio-economic development of Pakistan is based on land and water resource management and development. These resources are over stretched due to increase in population, often leading to resource depletion.

lc types (Punjab)

Land cover is defined as the observed physical cover including the vegetation (natural or planted) and human constructions which cover the earth's surface. A detailed, updated, reliable and accurate baseline on land cover is extremely important for a sustainable management of natural resource and ecosystem and landscape dynamics evaluation. Land cover information has special relevance to atmosphere carbon dioxide, soil erosion, precipitation, water resources development / management, glaciology, run off, biodiversity and flooding.

Recent understanding of the climate change issues has also generated more interest in accurate LULC information from regional to global scales. To formulate and implement appropriate risk management strategies or plan infrastructure investments (rail, roads, silos, warehouses, port facilities etc.), a strategic understanding of spatial land use and land cover is of paramount importance. In agriculture, a reliable land cover dataset can significantly support statistical applications such as the area frame development and evolution.

Pakistan Land Cover Mapping initiative

lc Punjab (left) and Sindh (right) The Pakistan Space and Upper Atmosphere Research Commission (SUPARCO) in collaboration with FAO - Land and Water Division, has just completed the detailed land cover/ land use database of Punjab and Sindh provinces using Remotely Sensed data and GIS technologies. It represents the first step in a national mapping programme, which aims at producing a comprehensive, harmonized and detailed land cover database for multiple purposes. The phase including Punjab and Sindh has been completed; KP and Baluchistan are the next Provinces to be mapped.

In February 2012, SUPARCO and FAO organized a dedicated training workshop at SUPARCO Islamabad to apprise all the stakeholders of the significant benefit of the Land Cover Classification System (LCCS) approach and to develop local technical and methodological capacity in conducting land cover mapping activities according to FAO standards and procedures.

Punjab and Sindh Provinces were given priorities in the mapping progress and were completed by the end of 2013. The databases of Punjab and Sindh were produced by analyzing and interpreting SPOT-5 very high resolution (5 metre) satellite images collected over the area of interest in multiple dates. The FAO methodology for land cover change mapping was implemented, including the adoption of the FAO Land Cover Classification System for the creation of the national legend, in consultation and inputs from the national experts. The legend has 13 main land cover classes divided into 36 sub-classes.

Two provincial atlases of land cover were recently published (early 2014) by FAO and SUPARCO.

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  ANNOUNCEMENT

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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