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Beyond Ownership: Measuring Land Rights

Beyond Ownership: Measuring Land Rights
03 mei 2021
Cheryl Doss
vanyasl

Advancing women’s land rights is a priority for the international development agenda. Yet, there is no consensus on which rights should be monitored and reported. Three indicators of women’s property rights are widely used in the literature. Each captures a different aspect of women’s land rights, but a recent paper explores the extent to which these different rights are held by the same person, using data from six African countries.

Leveraging Open Data in the Fight Against Corruption

Leveraging Open Data in the Fight Against Corruption
26 november 2019
ClintonOmusula

The land sector is increasingly being cited as a corruption hub. Many countries across the globe are grappling with land-related corruption that dates to the colonial years and which have metamorphosed into historical injustices and continue to be a source of conflict and violation of basic human rights. Cases of land grabbing, compensation-less expropriation, gender-based discrimination in accessing and ownership of land and related resources, illegal mining deals, bribing to access land administration services among others are not new in the lands sector.

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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 maart 2024 - 18 maart 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. 

 

 

 

Land Rights for Sustainable Development - The Role of Data

Land Rights for Sustainable Development - The Role of Data
16 januari 2024
European Commission
Brussels
Belgium

Having secure land tenure, ensuring people's confidence in accessing, controlling and utilizing their land, is crucial for promoting sustainable land management practices. It also plays a key role in building resilience against the impacts of climate change, including extreme weather events, rising sea levels, and increased desertification due to higher temperatures.

International Land Coalition
Land Portal Foundation
Land Matrix
Prindex

Monitoring Water Quality of Inland Lakes using Remote Sensing

Monitoring Water Quality of Inland Lakes using Remote Sensing
17 juli 2023 - 24 juli 2023

NASA’s Applied Remote Sensing Training Program (ARSET) has opened a new open, online webinar series: Monitoring Water Quality of Inland Lakes using Remote Sensing. This advanced-level training will focus on using remote sensing observations from Landsat 8 and 9, Sentinel-2, and Sentinel-3 for assessing water quality parameters, including chlorophyll-a concentration, turbidity, and Total Suspended Solids (TSS) in inland lakes. This training will also highlight the importance of in situ measurements of these parameters, coincident with satellite observations, in developing methodologies for operational water quality monitoring.

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Data is open if it can be freely accessed, used, modified and shared by anyone for any purpose - subject only, at most, to requirements to provide attribution and/or share-alike. Specifically, open data is defined by the Open Definition and requires that the data be A. Legally open: that is, available under an open (data) license that permits anyone freely to access, reuse and redistribute B. Technically open: that is, that the data be available for no more than the cost of reproduction and in machine-readable and bulk form.