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Scaling up gender-sensitive approaches in Burundi

Scaling up gender-sensitive approaches in Burundi
08 March 2022

As observed in many countries, women’s access to land in Burundi is hampered by  customary practices. ZOA, VNG and MiPAREC are scaling up a gender-sensitive approach to strengthening women’s rights to land. Experiences from the past prove that sensitization and awareness raising are for a meaningful and successful outcome for women. But there are also many challenges and pitfalls when it comes to working on a topic as women’s land rights.

Scaling up gender-sensitive approaches in Burundi

Scaling up gender-sensitive approaches in Burundi
08 March 2022

As observed in many countries, women’s access to land in Burundi is hampered by  customary practices. ZOA, VNG and MiPAREC are scaling up a gender-sensitive approach to strengthening women’s rights to land. Experiences from the past prove that sensitization and awareness raising are for a meaningful and successful outcome for women. But there are also many challenges and pitfalls when it comes to working on a topic as women’s land rights.

Scaling up gender-sensitive approaches in Burundi

Scaling up gender-sensitive approaches in Burundi
08 March 2022

As observed in many countries, women’s access to land in Burundi is hampered by  customary practices. ZOA, VNG and MiPAREC are scaling up a gender-sensitive approach to strengthening women’s rights to land. Experiences from the past prove that sensitization and awareness raising are for a meaningful and successful outcome for women. But there are also many challenges and pitfalls when it comes to working on a topic as women’s land rights.

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Events

Large Scale Applications of Machine Learning using Remote Sensing for Building Agriculture Solutions

Large Scale Applications of Machine Learning using Remote Sensing for Building Agriculture Solutions
04 March 2024 - 18 March 2024

NASA’s Applied Remote Sensing Training Program (ARSET) has opened a new open, online webinar series: Large Scale Applications of Machine Learning using Remote Sensing for Building Agriculture Solutions. Remote sensing data is becoming crucial to solve some of the most important environmental problems, especially pertaining to agricultural applications and food security. Participants will become familiar with data format and quality considerations, tools, and techniques to process remote sensing imagery at large scale from publicly available satellite sources, using cloud tools such as AWS S3, Databricks, and Parquet. Additionally, participants will learn how to analyze and train machine learning models for classification using this large source of data to solve environmental problems with a focus on agriculture. 

 

 

 

Large Scale Applications of Machine Learning using Remote Sensing for Building Agriculture Solutions

Large Scale Applications of Machine Learning using Remote Sensing for Building Agriculture Solutions
04 March 2024 - 18 March 2024

NASA’s Applied Remote Sensing Training Program (ARSET) has opened a new open, online webinar series: Large Scale Applications of Machine Learning using Remote Sensing for Building Agriculture Solutions. Remote sensing data is becoming crucial to solve some of the most important environmental problems, especially pertaining to agricultural applications and food security. Participants will become familiar with data format and quality considerations, tools, and techniques to process remote sensing imagery at large scale from publicly available satellite sources, using cloud tools such as AWS S3, Databricks, and Parquet. Additionally, participants will learn how to analyze and train machine learning models for classification using this large source of data to solve environmental problems with a focus on agriculture. 

 

 

 

Large Scale Applications of Machine Learning using Remote Sensing for Building Agriculture Solutions

Large Scale Applications of Machine Learning using Remote Sensing for Building Agriculture Solutions
04 March 2024 - 18 March 2024

NASA’s Applied Remote Sensing Training Program (ARSET) has opened a new open, online webinar series: Large Scale Applications of Machine Learning using Remote Sensing for Building Agriculture Solutions. Remote sensing data is becoming crucial to solve some of the most important environmental problems, especially pertaining to agricultural applications and food security. Participants will become familiar with data format and quality considerations, tools, and techniques to process remote sensing imagery at large scale from publicly available satellite sources, using cloud tools such as AWS S3, Databricks, and Parquet. Additionally, participants will learn how to analyze and train machine learning models for classification using this large source of data to solve environmental problems with a focus on agriculture. 

 

 

 

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Library

Securing Forest Tenure Rights for Rural Development: Lessons from Six Countries in Latin America

Journal Articles & Books
February, 2017
Latin America and the Caribbean
El Salvador
Honduras
Nicaragua
Argentina
Colombia
Peru

Secure land tenure in rural landscapes is widely recognized as an essential foundation for achieving a range of economic development goals. However, forest areas in low and middle-income countries face particular challenges in strengthening the security of land and resource tenure. Forest peoples are often among the poorest and most politically marginalized communities in their national contexts, and their tenure systems are often based on customary, collective rights that have insufficient formal legal protection.

Securing Forest Tenure Rights for Rural Development: Lessons from Six Countries in Latin America

Journal Articles & Books
February, 2017
Latin America and the Caribbean
El Salvador
Honduras
Nicaragua
Argentina
Colombia
Peru

Secure land tenure in rural landscapes is widely recognized as an essential foundation for achieving a range of economic development goals. However, forest areas in low and middle-income countries face particular challenges in strengthening the security of land and resource tenure. Forest peoples are often among the poorest and most politically marginalized communities in their national contexts, and their tenure systems are often based on customary, collective rights that have insufficient formal legal protection.

Securing Forest Tenure Rights for Rural Development: Lessons from Six Countries in Latin America

Journal Articles & Books
February, 2017
Latin America and the Caribbean
El Salvador
Honduras
Nicaragua
Argentina
Colombia
Peru

Secure land tenure in rural landscapes is widely recognized as an essential foundation for achieving a range of economic development goals. However, forest areas in low and middle-income countries face particular challenges in strengthening the security of land and resource tenure. Forest peoples are often among the poorest and most politically marginalized communities in their national contexts, and their tenure systems are often based on customary, collective rights that have insufficient formal legal protection.

Find more resources in the Land Library
There are 1, 479 content items of different types and languages related to capacity development on the Land Portal.

The process through which the ability of individuals and organizations to perform functions, solve problems and set and achieve sustainable objectives is developed and maintained over time   Source: UN Thesaurus