The Himalaya Regional Land Cover Database: Land Cover in Nepal, Bhutan, Afghanistan, Pakistan, India, China, and Myanmar

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Includes complete landcover data for Nepal and Bhutan, with partial data for Afghanistan, Pakistan, India, China and Myanmar.
Can be found at the following link: http://www.fao.org/geonetwork/srv/en/main.home?uuid=46d3c2ef-72c3-4f96-8...

The purpose of the land cover database is to provide essential basic information natural resource assessment and management, environmental modelling, and decision-making and policy formulation for a sustainable land management. The strategy adopted combines the need to develop new tools and methodologies for land cover mapping with the necessity to strengthen the capacity of developing countries to produce, manage and distribute spatial information on environmental resources.
The land cover was interpreted from LANDSAT imagery acquired mainly in the period 2000-2005. Current validation was made from ancillary data and free high resolution historical imagery. The field work verification it is planned shortly. Countries involved in the mapping are going to control the classes created/interpretation performed and update the database with new classes according to a more detailed interpretation scale (1:100 000).</

Type: 
Geospatial
Languages Supported: 
English
Topics: 
Agriculture and Food Security
Environment and Natural Resources
Granularity: 
Geographical Coverage: 
China
Myanmar
Afghanistan
Bhutan
India
Pakistan
Nepal
Economy Coverage: 
Blend
Periodicity: 
Periodicity not specified
Limitations and Exceptions: 
The designations employed and the presentation of material in this information product do not imply the expression of any opinion whatsoever on the part of the Food and Agriculture Organization of the United Nations (FAO) concerning the legal or development status of any country, territory, city or area or of its authorities, or concerning the delimitation of its frontiers or boundaries. FAO declines all responsibility for errors or deficiencies in the database or software or in the documentation accompanying it, for program maintenance and upgrading as well as for any damage that may arise from them. FAO also declines any responsibility for updating the data and assumes no responsibility for errors and omissions in the data provided. Users are, however, kindly asked to report any errors or deficiencies in this product to FAO.
Data Notes: 
The Himalaya Regional Land Cover database has been produced as part of the Global Land Cover Network - Regional Harmonization Programme. Its extent includes the Hindu Kush - Karakorum - Himalaya mountain chain, which is the widest and most recent in the world. The database was developed using 2000 Landsat satellite imagery as reference source for an automatic segmentation. The land cover change was then assessed upon other sets of historical imagery: 1970-80, 1990, and 2007. The mapping area covers about 1,500,000 km2, intersecting 6 different UTM zones. It includes portions of the following 5 countries: Afghanistan, Pakistan, India, China and Myanmar. Nepal and Bhutan are fully mapped. Aim of the programme is harmonize the regional land cover database which will allow national institutions and Governments to conduct assessment and monitoring of the land cover dynamics for environmental analysis and planning. The Himalaya land cover mapping was performed at 1:350,000 scale and derives from a combination of visual and automatic interpretation of recent Landsat ETM satellite imageries. For this purpose, the FAO’s MADCAT software was adopted, in order to perform automatic classification. FAO’s GeoVIS interpretation software was also used. The land cover legend, consisting of 35 classes, was set up using the FAO LCCS methodology, a standardized a priori land cover classifications system applied with success in a series of FAO projects. As result, 511,292 polygons were delineated. To refine the interpretation, high resolution images from Google Earth were used. The tabular attributes contains 14 fields with the following meaning: Z007CODE: GIS code of the class. Z007USLB: User label updated with the 2004/2007 images. Z007PERC: Percentage of the class. In case of a single unit the percentage is 100%; in case of mixed unit the percentage is 60/40, meaning that the first term of the mixed unit covers 60% of the polygon’s area while the second term of the mixed unit covers the 40%. HECTARES: Area of the polygon in Hectares. The calculation was made in UTM projection (WGS84), according to the UTM Zone indicated in the field “Zone”. AREA: Area of the polygon in square meters. The calculation was made in UTM projection (WGS84), according to the UTM Zone indicated in the field “Zone”. AGG: Aggregated code used for the Map layout. The aggregation criteria is shown in the attached file “Conversion table for the map_35cl”. ZONE: The UTM zone where the polygon falls. CODE1: The user label either as single unit or as first term of a mixed unit. CODE2: The user label as second term of a mixed unit, when present. BOOLEAN1: The LCCS Boolean formula of Code 1, giving its representation as land cover objects. BOOLEAN2: The LCCS Boolean formula of Code 2, giving its representation as land cover objects. LCCSMAIN1: The LCCS main group containing Code1. LCCSMAIN2: The LCCS main group containing Code2. AUTO_ID: The unique number identifying each polygon. Notice that from the fields “Boolean1”, “Boolean2”, “LCCSMain1”, “LCCSMain2” is possible to derive the objects making up the land cover class covering the polygon(s) wanted.
Organization: 
FAO
Time Periods: 
September, 2017

No Visualizations Available.

Includes complete landcover data for Nepal and Bhutan, with partial data for Afghanistan, Pakistan, India, China and Myanmar.
Can be found at the following link: http://www.fao.org/geonetwork/srv/en/main.home?uuid=46d3c2ef-72c3-4f96-8...

The purpose of the land cover database is to provide essential basic information natural resource assessment and management, environmental modelling, and decision-making and policy formulation for a sustainable land management. The strategy adopted combines the need to develop new tools and methodologies for land cover mapping with the necessity to strengthen the capacity of developing countries to produce, manage and distribute spatial information on environmental resources.
The land cover was interpreted from LANDSAT imagery acquired mainly in the period 2000-2005. Current validation was made from ancillary data and free high resolution historical imagery. The field work verification it is planned shortly. Countries involved in the mapping are going to control the classes created/interpretation performed and update the database with new classes according to a more detailed interpretation scale (1:100 000).</

FieldValue
Modified Date
2017-11-08
Release Date
Periodicity
Identifier
46d2ef84-cb86-441e-ab63-946144fcf05e
License
License Not Specified
Contact Email
Rating: 
0
No votes yet
Type: 
Languages Supported: 
Time Periods: 
September, 2017
Economy Coverage: 
Terms of Use: 
Geographical Coverage: 
Data Classification of a Dataset: 
GTK
Programatic Region: 
Organization: 
FAO
Granularity: 
Data Notes: 
The Himalaya Regional Land Cover database has been produced as part of the Global Land Cover Network - Regional Harmonization Programme. Its extent includes the Hindu Kush - Karakorum - Himalaya mountain chain, which is the widest and most recent in the world. The database was developed using 2000 Landsat satellite imagery as reference source for an automatic segmentation. The land cover change was then assessed upon other sets of historical imagery: 1970-80, 1990, and 2007. The mapping area covers about 1,500,000 km2, intersecting 6 different UTM zones. It includes portions of the following 5 countries: Afghanistan, Pakistan, India, China and Myanmar. Nepal and Bhutan are fully mapped. Aim of the programme is harmonize the regional land cover database which will allow national institutions and Governments to conduct assessment and monitoring of the land cover dynamics for environmental analysis and planning. The Himalaya land cover mapping was performed at 1:350,000 scale and derives from a combination of visual and automatic interpretation of recent Landsat ETM satellite imageries. For this purpose, the FAO’s MADCAT software was adopted, in order to perform automatic classification. FAO’s GeoVIS interpretation software was also used. The land cover legend, consisting of 35 classes, was set up using the FAO LCCS methodology, a standardized a priori land cover classifications system applied with success in a series of FAO projects. As result, 511,292 polygons were delineated. To refine the interpretation, high resolution images from Google Earth were used. The tabular attributes contains 14 fields with the following meaning: Z007CODE: GIS code of the class. Z007USLB: User label updated with the 2004/2007 images. Z007PERC: Percentage of the class. In case of a single unit the percentage is 100%; in case of mixed unit the percentage is 60/40, meaning that the first term of the mixed unit covers 60% of the polygon’s area while the second term of the mixed unit covers the 40%. HECTARES: Area of the polygon in Hectares. The calculation was made in UTM projection (WGS84), according to the UTM Zone indicated in the field “Zone”. AREA: Area of the polygon in square meters. The calculation was made in UTM projection (WGS84), according to the UTM Zone indicated in the field “Zone”. AGG: Aggregated code used for the Map layout. The aggregation criteria is shown in the attached file “Conversion table for the map_35cl”. ZONE: The UTM zone where the polygon falls. CODE1: The user label either as single unit or as first term of a mixed unit. CODE2: The user label as second term of a mixed unit, when present. BOOLEAN1: The LCCS Boolean formula of Code 1, giving its representation as land cover objects. BOOLEAN2: The LCCS Boolean formula of Code 2, giving its representation as land cover objects. LCCSMAIN1: The LCCS main group containing Code1. LCCSMAIN2: The LCCS main group containing Code2. AUTO_ID: The unique number identifying each polygon. Notice that from the fields “Boolean1”, “Boolean2”, “LCCSMain1”, “LCCSMain2” is possible to derive the objects making up the land cover class covering the polygon(s) wanted.
Limitations and Exceptions: 
The designations employed and the presentation of material in this information product do not imply the expression of any opinion whatsoever on the part of the Food and Agriculture Organization of the United Nations (FAO) concerning the legal or development status of any country, territory, city or area or of its authorities, or concerning the delimitation of its frontiers or boundaries. FAO declines all responsibility for errors or deficiencies in the database or software or in the documentation accompanying it, for program maintenance and upgrading as well as for any damage that may arise from them. FAO also declines any responsibility for updating the data and assumes no responsibility for errors and omissions in the data provided. Users are, however, kindly asked to report any errors or deficiencies in this product to FAO.
Modified date: 
96
Primary Dataset: 
Yes

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