Search results

Showing items 1 through 9 of 52.

Library Resource

Final evaluation of the project “Adaptive management and monitoring of the Maghreb’s oases systems”

Reports & Research
July, 2020
Morocco, Tunisia, Mauritania
land information systems
geographical information systems
gender equity in access to land
sustainable land management
natural resources management
water
water management
water rights
capacity development
The Maghreb's oases systems provide a major contribution to the region's food security, economy and natural resources. Despite this potential, oasis ecosystems are threatened by a range of complex factors related to the expansion of agricultural land and increasing scarcity of water resources. The project, implemented by FAO in Tunisia, Morocco and Mauritania from May 2016 to December 2019, brought together key stakeholders to address the lack of available information on the status of oases and to advocate on factual bases shared by all stakeholders and verifiable in the field.
Library Resource

Guidance on spatial technologies for disaster risk management in aquaculture

Journal Articles & Books
December, 2018
Mozambique, Bangladesh, United States of America, Philippines, Haiti, Japan, Chile, China, Myanmar, Indonesia, Portugal, Ireland, Canada, Argentina, United Kingdom, Italy, Sri Lanka, Mexico, New Zealand
land administration
This new guide describes the application of spatial technology to improve disaster risk management (DRM) within the aquaculture sector. DRM requires interrelated actions and activities to ensure early warning, prevention, preparedness, response and recovery for a wide range of natural, technological and complex disasters that can impact aquaculture operations and livelihoods.Spatial technology refers to systems and tools that acquire, manage and analyse data that have geographic context.
Library Resource

Standardizing land cover mapping for tsetse and trypanosomiasis decision making

Journal Articles & Books
January, 2019
Angola, Mozambique, Egypt, Botswana, Malawi, Rwanda, Mauritania, Somalia, Uganda, Mali, Burundi, Italy, Tanzania, Sudan, Congo, Senegal, Chad, Namibia, Niger, Eritrea, Kenya
land cover mapping
The habitat of tsetse fly (Glossina spp.) depends upon climatic conditions, host availability and land cover characteristics. In this paper, the Land Cover Classification System (LCCS), developed by the Food and Agriculture Organization (FAO) and the United Nations Environment Programme (UNEP), is proposed as a tool to harmonize land cover mapping exercises carried out in the context of tsetse and trypanosomiasis (T&T) research and control.
Library Resource

Geospatial datasets and analyses for an environmental approach to African trypanosomiasis

Journal Articles & Books
January, 2019
Mozambique, Burkina Faso, Benin, Nigeria, United States of America, Kenya, Zambia, Somalia, Uganda, Mali, Ethiopia, Italy, Tanzania, Botswana, Ghana, Congo, Senegal, Guinea, Sudan, Cameroon, Central African Republic
land administration
geographical information systems
Geospatial datasets and analysis techniques based on geographic information systems (GIS) have become indispensable tools in the planning, implementation and evaluation of a wide range of development programmes, including actions addressing sustainable agriculture and rural development. The growing volume of spatially explicit environmental information, combined with the widening utilization of GIS, allows ecological and socioeconomic factors to be integrated more fully into the decision-making process, thus laying the foundation for a holistic approach to development.
Library Resource

Guidance on spatial technologies for disaster risk management in aquaculture

Journal Articles & Books
December, 2018
Mozambique, Bangladesh, United States of America, Philippines, Haiti, Japan, Chile, China, Myanmar, Indonesia, Portugal, Ireland, Canada, Argentina, United Kingdom, Italy, Sri Lanka, Mexico, New Zealand
land administration
This new guide describes the application of spatial technology to improve disaster risk management (DRM) within the aquaculture sector. DRM requires interrelated actions and activities to ensure early warning, prevention, preparedness, response and recovery for a wide range of natural, technological and complex disasters that can impact aquaculture operations and livelihoods. Spatial technology refers to systems and tools that acquire, manage and analyse data that have geographic context.
Library Resource

South Sudan Land cover mapping

Institutional & promotional materials
August, 2018
Kenya, South Sudan, Sudan, Ethiopia, Uganda
land cover mapping
The new land cover dataset will allow mapping of natural resources, human settlements and human activities in South Sudan and within neighboring countries. It will represent the most innovative and updated dataset developed for South Sudan, integrating high-resolution multi-temporal imagery, object-based image analysisand machine-learning algorithms and LCML to support the Natural Resource Management strategy and land use planning.
Library Resource

Crossing boundaries

Journal Articles & Books
November, 2018
Serbia, Nepal, France, North Macedonia, Nigeria, Kenya, Tajikistan, Kyrgyzstan, Ethiopia, China, Cameroon, Tanzania, Bulgaria, Spain, India, South Sudan, Sudan, Pakistan, Niger, Eritrea, Mongolia
Rangelands, Drylands & Pastoralism
boundaries
pastoralists
In many countries, pastoralism has historically been practiced in areas that are now partitioned by international boundaries. This is a major barrier to sustainable resource management and to pastoral development. However, there are examples from around the world of efforts to facilitate transboundary movements and transboundary ecosystem management by pastoralists. This report examines how pastoral mobility has been impacted by the creation of unnatural boundaries within their landscapes and how societies cope with these constraints through legal or informal arrangements.
Library Resource

Harmonized World Soil Database Version 1.1

Journal Articles & Books
December, 2009
France, Belgium, Spain, Gambia, Croatia, Burundi, China, Bulgaria, Austria, Congo, Rwanda, Cyprus, United States of America, Bosnia and Herzegovina, Albania, Australia, Italy, Portugal, Senegal, Mongolia, Canada, Europe, Asia, Africa, Northern America
land use mapping
The completion of this comprehensive harmonized soil information database will improve estimation of current and future land potential productivity, help identify land and water limitations, and enhance assessing risks of land degradation, particularly soil erosion. The HWSD contributes sound scientific knowledge for planning sustainable expansion of agricultural production and for guiding policies to address emerging land competition issues concerning food production, bio-energy demand and threats to biodiversity.
Library Resource

Map Accuracy Assessment and Area Estimation: A Practical Guide

Journal Articles & Books
February, 2016
Luxembourg, Poland, Switzerland, Japan, Zambia, Peru, Italy
land cover mapping
Accurate and consistent information on forest area and forest area change is important given the reporting requirements for countries to access results based payments for REDD+ . Forest area change estimates usually provide data on the extent of human activity resulting in emissions (e.g. from deforestation) or removals (e.g. from afforestation), also called activity data (AD). A basic methodological approach to estimate greenhouse gas emissions and removals (IPCC, 2003), is to multiply AD with a coefficient that quantifies emissions per unit ‘activity’ (e.g.
Library Resource

Land use map of Uganda

Policy Papers & Briefs
December, 2014
Rwanda, Uganda, Burundi, China, Tanzania, Cuba, Argentina, Senegal, Africa
Land, Climate Change & Environment
sustainable land management
land use mapping
land cover mapping
The present report gives the complete description of the preparation of a land use map and also the preparation of a national map of livestock intensity, needed as LUS input. The present method allows the preparation of a multi-country land use map in two weeks with the work of 13 experts, and is comparable to the continuous of 130 working days. Further to that, the LUS has been validated with the support of GIS consultants.