Livestock detection in African rangelands: Potential of high-resolution remote sensing data

• DOI: 10.1016/j.rsase.2024.101139
• Publication Date: 2024-01-14T02:09:28Z
• Authors: Ian A. Ocholla; Petri Pellikka; Faith N. Karanja; Ilja Vuorinne; Victor Odipo; Janne Heiskanen
• Keywords: Rangeland management; Pastoralism

Livestock production is vital in eradicating poverty, malnutrition, and attainment of the Sustainable Development Goals (SDG) developing regions such as Africa. The livestock sector Africa contributes 10%–44% gross domestic product more than 70% greenhouse gas emissions continent. With anticipated increase demand for products, need to mitigate climate change, lack accurate census data, innovative remote sensing technologies methods become crucial sector. In this paper, we present a review current technological advancements detection algorithms censuses, identifying weaknesses sensors methods, highlighting issues that currently limit adoption these African countries. We observed last four years (2019–2022) accounted 69% all studies. This surge was driven by development Unmanned Aerial Vehicles, which offer high resolution images flexibility detection. addition, use automated are fast, efficient accurate. However, surrounding background different species, herd size spatial datasets affects accuracy. suggest publicly accessible aerial labelled databases covering various breeds develop customized models heterogeneous landscapes rangelands. Efficient monitoring population trends environmental impacts grazing practises.