The purpose of this handbook is to provide guidelines on the use of remote sensing in the context of agricultural statistics.
Guidelines & Handbooks
In most countries, although the proportion of national GDP constituted by the agricultural sector has been declining for decades, the forecasting of food production remains a major challenge for all the economic actors of modern societies.
This review examines the current status of the remote sensing (RS) tools, products, methodologies and data that can help to improve agricultural crop production forecasting systems.
These Guidelines have been prepared on the basis of assessments of the methods currently used by countries to produce data on stocks, and seek to help countries design and implement both on-farm and off-farm stocks.
These Guidelines set out a methodology for the collection of data and information on various aspects of the fisheries and aquaculture sector, especially concerning small-scale operators.
These Guidelines are intended to be a reference document providing technical and operational guidance on various aspects of the Enumeration of Nomadic and Semi-Nomadic (Transhumant) Livestock in various country conditions, with particular attention being paid to developing countries.
Also available in: French
This Handbook presents guidelines and recommendations for designing and implementing a statistical program on cost of production (CoP) in agriculture at the country level.
This Handbook is intended as a reference document providing technical and operational guidance on various aspects of the development and use of an MSF for agriculture in several different country conditions, with an emphasis on developing countries.
The Guidelines bring together comprehensive information on statistical classifications, in particular those used for agricultural statistics, and provide a convenient reference framework for the application of international standards at national level.
Also available in: French
The System of Environmental-Economic Accounting for Agriculture, Forestry and Fisheries (SEEA Agriculture) was developed as part of the Global Strategy to Improve Agricultural and Rural Statistics (the Global Strategy). The SEEA Agriculture is a conceptual framework that enables national and international statistical systems to access the data needed for decision-making: it combines the economic and environmental dimensions of agriculture, forestry, fisheries, land use, water use and other environmental factors with the conventional treatment of agricultural, forestry and fisheries production.
These Guidelines describe a method that can be employed to accurately capture the actual contribution of small-scale fisheries and aquaculture to rural communities. In principle, the basic structure of these survey stages follows the concepts adopted by the World Census of Agriculture, including the modular approach, to enhance utility and reduce implementation costs.
The growing demand by policymakers and decision makers for statistics based on information that is interlinked in economic, social, and environmental aspects requires the large-scale expansion of national efforts to implement statistical surveys, in terms of organization and budget. Therefore, the collection of data by integrating information from different sources is becoming a crucial requirement for the production of statistics.