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The layer represents the Canal network of the Cauvery delta, in Tamil Nadu state of India.
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The layer represents the boundary of the total study area which outlines the irrigated command areas identified by the ADB project in Mi Oya, Deduru Oya, Kirindi Oya and Menik Ganga basins, in North Western and Uva provinces of Sri Lanka.
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The full resolution dataset of towns was developed from data from the National Imagery and Mapping Agency (NIMA).
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The layer represents the study area boundary which is the irrigated command areas identified by the ADB project in the Kirindi Oya and Manik Ganga basins, in the Uva province of Sri Lanka.
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The layer represents the command area boundary of the Stung Chinit irrigation scheme identified by the ADB project in the Kampong Cham Province of Cambodia.
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This dataset is a thematic reaggregated version of the original national Africover landcover multipurpose database. It contains all cultivated land. The original full resolution land cover has been produced from visual interpretation of digitally enhanced LANDSAT TM images (Bands 4,3,2) acquired mainly in the period 2000-2001 (see the "Multipurpose Landcover Database" metadata for more details). This dataset is intended for free public access. Thematic aggregation is the way that the end user customizes the Africover database to fulfil his/her specific requirements. The Africover database gives equal level of detail to Agriculture as well as Natural vegetation or Bare Areas etc. Generally a single user does not need this level of detail for each class type; therefore he/she will enhance the information of one land cover type and will generalize or erase the information related to other land cover aspects. The most powerful way to conduct an aggregation exercise is to use the classifiers as basic elements of the exercise. This gives the user the maximum flexibility on the use of data. The shape main attributes correspond to the following fields: -ID -HECTARES -CULT_ID -CULT_DESC You can download a zip archive containing: -the ug-cultiv-agg (.shp) -the Uganda Classifiers Used (.pdf) -the Uganda legend (.pdf and .xls) -the Uganda Legend - LCCS Import file (.xls) -the LCCSglossary_uganda (.pdf) -the thematic-aggregation-procedure (.pdf) -the thematic-aggregation-annex1 (.pdf) -the thematic-aggregation-annex2 (.pdf) -the Userlabel Definitions (.pdf)
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This dataset is a thematic reaggregated version of the original national Africover landcover multipurpose database. It contains all natural vegetation with a herbaceous component. The original full resolution land cover has been produced from visual interpretation of digitally enhanced LANDSAT TM images (Bands 4,3,2) acquired mainly in the year 1999 (see the "Multipurpose Landcover Database" metadata for more details). This dataset is intended for free public access. Thematic aggregation is the way that the end user customizes the Africover database to fulfil his/her specific requirements. The Africover database gives equal level of detail to Agriculture as well as Natural vegetation or Bare Areas etc. Generally a single user does not need this level of detail for each class type; therefore he/she will enhance the information of one land cover type and will generalize or erase the information related to other land cover aspects. The most powerful way to conduct an aggregation exercise is to use the classifiers as basic elements of the exercise. This gives the user the maximum flexibility on the use of data. The shape main attributes correspond to the following fields: -ID -HECTARES -GRASS_ID -GRASS_DESC You can download a zip archive containing: -the rw-grass-agg (.shp) -the Rwanda Classifiers Used (.pdf) -the Rwanda legend (.pdf and .xls) -the Rwanda Legend - LCCS Import file (.xls) -the LCCS glossary_rwanda(.pdf) -the thematic-aggregation-procedure (.pdf) -the thematic-aggregation-annex1 (.pdf) -the thematic-aggregation-annex2 (.pdf) -the Userlabel Definitions (.pdf)
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This land cover data set is derived from the original raster based Globcover regional (Africa) archive. It has been post-processed to generate a vector version at national extent with the LCCS regional legend (46 classes). This database can be analyzed in the GLCN software Advanced Database Gateway (ADG), which provides a user-friendly interface and advanced functionalities to breakdown the LCCS classes in their classifiers for further aggregations and analysis. The data set is intended for free public access. The shape file's attributes contain the following fields: -Area (sqm) -ID -Gridcode (Globcover cell value) -LCCCode (unique LCCS code) You can download a zip archive containing: -the shape file (.shp) -the ArcGis layer file with global legend (.lyr) -the ArcView 3 legend file (.avl) -the LCCS legend tables (.xls)
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The layer represents the study area boundary which is the irrigated command areas identified by the ADB project in the Mi and Deduru basins, in the North Western province of Sri Lanka.
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Extent of the Miral and Padada irrigation schemes over the study area of Mindanao island of Philippines.