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FAO-EOSTAT project training











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    Introductory course to Google Earth Engine 2022
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    FAO Pakistan in collaboration with the FAO headquarters Geospatial Unit is inviting to an introductory course on Google Earth Engine with the objective to provide the basic skills to operate the platform, select, pre-process and analyze satellite imagery relevant to agriculture and food security, in particular for the identification of specific crops in the land and more broadly for land cover mapping, by using an automatic classification approach. The Workshop is thought for specialists in the technical Departmental Units of Agriculture and Food Security. It requires an understanding of the main satellite missions and basic concepts of Remote Sensing. Limited knowledge of scripting language (e.g. Python, R) is a plus. It has the structure of a theoretical presentation and hands-on exercises on the Google Earth Engine code editor.
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    Technical report
    Atlas of Malawi Land Cover and Land Cover Change 1990-2010 2012
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    The Atlas of Malawi, land cover and land cover change (1990s-2010s) provides information on the land cover resources, their distribution and changes over time, at national, regional and district levels. The Atlas is published in 2013. The administrative unit layer as well as the water basin layer and a number of ancillary datasets was provided by the Land Resources and Development Department of the Ministry of Agriculture of Malawi. The land cover change database was prepared according to the FA O, Land and Water Division www.fao.org and Global Land Cover Network (GLCN) www.glcn.org land cover change mapping methodology; underpinned by the use of FAO/ISO standards and the Land Cover Mapping Toolbox. The national land cover legend was prepared using the Land Cover Classification System (LCCS): a FAO comprehensive, standardized a priori classification system, designed to meet specific user requirements and created for mapping exercises, independent of the scale or means used to map. The c lassification uses a set of independent diagnostic criteria that allows the correlation with existing classifications and legends.
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    Land Cover Atlases of Pakistan - The Punjab Province
    A joint publication by FAO, SUPARCO and Crop Reporting Service, Government of Punjab
    2014
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    The Government of Pakistan, with support from its cooperating partners, has initiated a comprehensive program to address the improvement in agricultural statistical reporting utilizing auxiliary data from Earth Observation satellites. The project: Agricultural Information System - Building Provincial Capacity in Pakistan for Crop Estimation, Forecasting, and Reporting based on the integral use of Remotely Sensed Data; GCP/ PAK/125/USA focuses on enhancing and improving current systems based the integral use of remotely sensed data into the existing data collection, analysis, and dissemination systems; as well as the development of complementary systems to validate the use of satellite remotely-sensed data for area estimation and yield forecasting

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    The impact of climate variability and extremes on agriculture and food security - An analysis of the evidence and case studies
    Background paper for The State of Food Security and Nutrition in the World 2018
    2020
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    Global climate studies show that not only temperatures are increasing and precipitation levels are becoming more varied, all projections indicate these trends will continue. It is therefore imperative that we understand changes in climate over agricultural areas and their impacts on agriculture production and food security. This study presents new analysis on the impact of changing climate on agriculture and food security, by examining the evidence on recent climate variability and extremes over agricultural areas and the impact of these on agriculture and food security. It shows that more countries are exposed to increasing climate variability and extremes and the frequency (the number of years exposed in a five-year period) and intensity (the number of types of climate extremes in a five-year period) of exposure over agricultural areas have increased. The findings of this study are compelling and bring urgency to the fact that climate variability and extremes are proliferating and intensifying and are contributing to a rise in global hunger. The world’s 2.5 billion small-scale farmers, herders, fishers, and forest-dependent people, who derive their food and income from renewable natural resources, are most at risk and affected. Actions to strengthen the resilience of livelihoods and food systems to climate variability and extremes urgently need to be scaled up and accelerated.
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    A Python package for Agro-Ecological Zoning. User Guide for PyAEZ (v 2.0.0) 2023
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    Agro-Ecological Zoning (AEZ) framework was developed as a tool to analyse the effect of climate on land use and agricultures, as well as helping to optimise the crop cycle to produce the best yield possible. PyAEZ is an open-source Python package which offers AEZ calculations for user to implement for their regional AEZ analyses. This technical document contains detailed descriptions of all the AEZ modules and functions in PyAEZ.
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    Book (series)
    Flagship
    The State of Food and Agriculture 2020
    Overcoming water challenges in agriculture
    2020
    Intensifying water constraints threaten food security and nutrition. Thus, urgent action is needed to make water use in agriculture more sustainable and equitable. Irrigated agriculture remains by far the largest user of freshwater, but scarcity of freshwater is a growing problem owing to increasing demand and competition for freshwater resources. At the same time, rainfed agriculture is facing increasing precipitation variability driven by climate change. These trends will exacerbate disputes among water users and inequality in access to water, especially for small-scale farmers, the rural poor and other vulnerable populations. The State of Food and Agriculture 2020 presents new estimates on the pervasiveness of water scarcity in irrigated agriculture and of water shortages in rainfed agriculture, as well as on the number of people affected. It finds major differences across countries, and also substantial spatial variation within countries. This evidence informs a discussion of how countries may determine appropriate policies and interventions, depending on the nature and magnitude of the problem, but also on other factors such as the type of agricultural production system and countries’ level of development and their political structures. Based on this, the publication provides guidance on how countries can prioritize policies and interventions to overcome water constraints in agriculture, while ensuring efficient, sustainable and equitable access to water.