Advances in satellite technology could help governments and agricultural organizations improve crop production while reducing environmental impacts by providing more detailed data to guide farming decisions, according to new research from the University of Michigan.
The study by Meha Jain, an associate professor of environment and sustainability, was published in Science. It examines how high-resolution satellite imagery combined with geospatial analysis and household and census data can improve understanding of agricultural production and identify where conservation and management practices are most effective.
Jain's research focuses on the effects of weather variability and groundwater depletion on agriculture in India and explores how farmers can adapt cropping practices to address those challenges. The findings suggest satellite data can help decision-makers target resources more effectively, particularly in regions where agricultural data are limited.
Climate change is increasing uncertainty for producers while global food demand continues to rise. At the same time, agriculture remains a significant contributor to greenhouse gas emissions, water consumption and biodiversity loss. The research argues that improving food production and protecting natural resources do not have to be competing goals.
According to the study, many farming practices can improve both crop yields and environmental outcomes. However, widespread adoption is often limited by cost, access to technology and information, or because practices are not equally effective in every production environment.
Recent improvements in satellite technology are expanding opportunities for agricultural research. Publicly available satellite imagery now offers 10-meter resolution, allowing researchers to analyze fields that are representative of many smallholder farms. Commercial satellite systems provide even finer resolution, offering more detailed observations than were previously possible.
The improved imagery is particularly valuable in smallholder farming systems, where fields have historically been too small to monitor accurately with older satellite technologies. Jain's previous research has used satellite data to evaluate crop productivity, climate resilience and sustainable farming practices in India, and the latest work builds on those efforts by examining how advances in remote sensing can support agricultural decision-making in data-scarce regions.
Rather than developing tools for individual farmers, Jain's work produces large-scale datasets that governments and organizations can use to evaluate agricultural programs and determine where investments and conservation practices are most likely to succeed.
The research also notes that satellite data have limitations. Like any data source, satellite-derived products contain errors that must be considered when making management or policy decisions. For example, satellite estimates may be less accurate in identifying the highest- and lowest-yielding fields, which can affect evaluations of agricultural programs.
Looking ahead, the study concludes that satellite observations are likely to become an increasingly important part of agricultural planning by helping policymakers measure the effectiveness of agricultural programs and direct sustainable farming practices to the locations where they can provide the greatest benefits.
Source: University of Michigan, "From up on high: A view from space for a future for small farms"