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Namibia: a new and open. Dataset for Rangeland and Pasture Management

Drought Image

Introduction

Extensive research has focused on using data and satellite imagery in precision agriculture, but its use in rangeland management remains underexplored. Rangelands, covering 70% of the world’s land and supporting over 500 million people worldwide, are key for food security and the economy in some of the harshest environments. Unfortunately, they are increasingly threatened by climate change. Nearly half of the world’s rangelands face degradation, with severe impacts on biodiversity, food security, and economies, particularly in regions like Namibia, where 80% of the population relies on rangelands. Lack of sustainable practices aggravates this issue, as does bush encroachment, a phenomenon characterized by the increase of shrub species at the expense of palatable grasses. Namibia suffers from bush encroachment on a massive scale, with over 80% of its land affected by this issue.

Accurate data is critical for sustainable rangeland management, enabling predictions of productivity, drought planning, and optimal stocking rates. However, data collection in Namibia and the SADC region remains limited despite abundant satellite imagery. To address this gap, Farm4Trade, in collaboration with the University of Namibia, Omeva Consulting, and local experts, has created a dataset. This achievement was made possible through the sponsorship and support of the Lacuna Fund, the world’s first collaborative initiative dedicated to empowering data scientists, researchers, and social entrepreneurs in low- and middle-income regions with the resources needed to create labeled datasets that tackle pressing local challenges.

SDG: #2 (Zero Hunger), #13 (Climate Action), #17 (Partnerships for the Goals)

Sectors: Rangeland Management, Sustainable Agriculture, Livestock Farming

Countries: Namibia

Donors: Lacuna Fund

Duration: April 2024 - April 2025

Project Title: Namibia: A New and Open Dataset for Rangeland and Pasture Management

Project Partners: AgriConsult Namibia, Agri-Ecological Services, University of Namibia, and Farm4Trade

AIM AND OBJECTIVES

Aim

The primary aim of the project is to provide a ground-truthed field dataset to calibrate and validate satellite-derived estimates of rangeland condition indicators. Once calibrated, these satellite products will enable near real-time monitoring of rangelands for more effective management.

Objectives

  • 1. Quantitative, semiquantitative, and qualitative assessment of rangeland indicators across 20 sampling sites distributed within Namibia’s primary livestock-producing ecoregions, conducted over a 14-month monitoring period. This included the following measurements and documentation:
    • a. Cover of plant functional groups and their greenness, as well as litter and bare ground cover.
    • b. Estimation and quantification of standing herbaceous crops.
    • c. Survey of woody plants for bush biomass quantification.
    • d. Identification of dominant herbaceous and woody plant species.
    • e. Collection and recording of information from farmers or managers regarding the type and number of grazing livestock, grazing periods, and other utilization data related to the plot areas.
    • f. Capture photographs for validation purposes.
  • 2. Develop and test a Python-based API to efficiently download satellite imagery from Sentinel-Hub.
  • 3. Improve dataset usability through careful digitization, comprehensive data cleaning, and development of practical use cases.
  • 4. Promote dataset utilization through general and targeted awareness efforts and active engagement with beneficiaries.
Lacuna Field Research

DELIVERABLES

1. OpenDataset

Hosted on Kaggle (available at: Lacuna Dataset on Kaggle), it features detailed information on rangeland indicators on 20 sites across different Namibian ecoregions. It includes unified labels and legends for easy interpretation and integration into research. The dataset is structured to support a variety of use cases, including satellite calibration, rangeland condition assessments, and sustainable livestock production planning.

Dataset User Manual

2. Comprehensive User Manual

A meticulously designed user manual accompanies the dataset to ensure its effective utilisation. The manual includes:

  • Detailed Methodology: Step-by-step guidance on how the data was collected, processed, and labelled.
  • Unified Labels: An exhaustive list of the dataset’s labels and their definitions, ensuring consistency and clarity for diverse user needs.
  • Applied Cases: Practical examples of how the dataset has been or can be used for rangeland management, environmental monitoring, and agricultural planning.
  • Gap Analysis: A clear identification of missing or incomplete data fields, enabling users to plan supplementary data collection or contextual adjustments.
Comprehensive User Manual

This combination of a robust dataset and an accessible user manual ensures that users can maximise the potential of our client's dataset for research, decision-making, and innovation in rangeland and agricultural management.

WHY IT MATTERS?

Despite covering 70% of the Earth’s land and sustaining over 500 million people, rangelands are under significant threat from degradation, climate change, and bush encroachment. This challenge is particularly severe in Namibia, where 80% of the population relies on rangelands, and over 80% of the land is affected by bush encroachment. This project matters because it provides data that can drive sustainable rangeland management, which is critical for supporting livelihoods, conserving biodiversity, and ensuring food security in some of the world’s most vulnerable regions.

Vegetation Coverage

OUR APPROACH

Omeva Consulting played a central role in project management, communication, and ensuring data usability. Our key responsibilities included:

  • ○ On-the-ground project management, ensuring smooth execution of field activities.
  • ○ Stakeholder engagement and coordination, including supporting the communication campaign.
  • ○ UX input in digitising field data, enhancing interoperability and usability.
  • ○ Developing the end-user manual and case studies to facilitate adoption and maximise impact.

By combining deep expertise in agri-tech, rangeland management, and drought resilience with a practical, field-driven approach, we ensured the project delivered scalable solutions for sustainable rangeland monitoring in Namibia and the broader global rangeland community.

Project Activities

WHAT’S NEXT?

The evidence review will be published in December 2024, with country-specific reports to follow in the new year.

OUR ROLE

Omeva Consulting brings extensive expertise in data analysis, project management, agri-tech, rangeland management, and drought resilience, informed by years of experience in Namibia, one of Sub-Saharan Africa’s driest regions. For this project, we have taken the lead on key components, including conducting the literature review, digitizing collected data, performing data cleaning and validation, and curating the end-user manual and case studies. These efforts ensure the dataset’s usability and maximize its impact for stakeholders and the global rangeland community. Additionally, we have actively contributed our expertise across various other work packages to support the project’s success.

Project Team

PROJECT UPDATES

This project has been completed, and the dataset with an accompanying end-user manual and case studies are available on Kaggle as Namibia’s Rangeland and Pasture Dataset (Gewers et al., 2024) at https://www.kaggle.com/dsv/8719158 .