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No Thumbnail AvailableBook (stand-alone)Preparation of Land Cover Database of Bulgaria through Remote Sensing and GIS 2001
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No results found.Land cover maps constitute a necessary tool for development planning and management of the territory. Furthermore, land cover maps depicting the current reality are a must in countries where, due to political changes, rapid dynamic phenomena have taken place, resulting in a complete restructuring of the agricultural and other sectors, as in the case of Bulgaria. The scale of such maps should be large enough to provide detailed information, however it should allow for regional assessment, st atistics and subsequent planning. The 1:50 000 scale is the most suited for this exercise. The FAO project TCP/BUL/8922 “Strengthening Capacity in Agricultural Development through Remote Sensing and GIS” has produced 14 land cover maps at 1:50 000 scale for selected test areas of the country, covering 5 600 sq km. These maps were prepared using Landsat satellite data, acquired in 1998 and 1999 as the main data source and thus represent the land cover existing at that time. The land cover cl assification was performed using the FAO Land Cover Classification System (LCCS). To each mapped unit (polygon), soil type and erosion features were linked as attributes into the GIS system. This created a comprehensive database, which is unique in Bulgaria. The database provides very useful information for agriculture, forestry and urban development planning, for environment protection and for many other applications. The data collected in the database provide the possibility for different kinds of spatial analysis, which is necessary in land management. For an area of particular interest, IKONOS very high resolution satellite data were used to produce an assessment of the state of vineyards, the updating of the linear features of a large scale topographical map and other applications. The methodology and applications reported in this study have been tested and refined under operative conditions in the framework of the project’s activities. -
Book (stand-alone)Northern and eastern Afghanistan monitoring of rice cultivation using satellite remote sensing and GIS technologies - Final Report 2017
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No results found.Adoption of new strategies for agriculture monitoring, rural land use planning and land management is urgently required to reduce hunger and poverty among rural population of Afghanistan and to assure sustainable food and feed production for future generations. The availability of reliable information on natural resources and agriculture for its monitoring and analysis is indispensable to development and implementation of such strategies. The activities proposed in this document have as overall objective in strengthening/improvement of the national capacity on rice monitoring and analysis by use of geospatial and innovative technology based on Proba-V, Aqua/Terra, Landsat-8, Sentinel-1, Sentinel-2, SPOT-5/6/7 and Pleiades imagery for sustainable development for food security in the country. -
Book (stand-alone)Groundwater search by remote sensing: A methodological approach 2003
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No results found.In the framework of the technical assistance provided to the Groundwater Unit (GWU) of the FAO-implemented IRAQ/SCR/986 "Three-year Agricultural Programme" for the three Iraqi Northern Governorates, a comprehensive remote sensing/GIS methodology was developed to identify potential sites for groundwater exploitation. The approach used in the study was a development of the traditional standard sequence of drainage, landforms, cover and lineaments analyses, to which several improvements and addit ions were made, such as: (1) all data were in digital format and stored in a geo-database as GIS layers; (2) all analyses and interpretations were performed directly from the computer screen; (3) on the basis of a previous positive experience, thermal lineaments analysis was performed; (4) a comprehensive geo-database was created including all GIS layers which were considered of interest for the study; (5) by using the potentiality of GIS software, which allows stacking of georeferenced data f or comparison and integration and data query for subsetting the needed information, selected layers of the database were superimposed on the Landsat image kept as background and a logical series of observations was made, leading to a well-substantiated set of interpretation assumptions. The creation of a GIS database, including the data format and entry, is a time-consuming and laborious exercise, as high accuracy is definitely mandatory. However, once the database is complete, interpretation of features leading to selection of promising sites for groundwater search is carried out easily and quickly. This as a result of data availability of all needed information in a GIS environment. Thirty test areas, selected by the field team, were investigated and 198 promising sites were identified for further ground survey and subsequent drilling.
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