Document Type
Thesis - Open Access
Award Date
2025
Degree Name
Master of Science (MS)
Department / School
Agronomy, Horticulture, and Plant Science
First Advisor
Hankui Zhang
Abstract
Winter cover crops planted by farmers such as cereal rye, crimson clover, radishes, hairy vetch, and winter wheat are used to conserve and protect the soil during winter. These crops offer numerous benefits such as improving soil health, reducing erosion, fixing nitrogen, increasing carbon sequestration, and weed suppression. Over time, winter cover cropping has been recognized as a sustainable agricultural practice and has gained attention from Federal and State conservation programs, farmers, and non-governmental organizations. Due to their vital benefits, agencies such as the United States Department of Agriculture (USDA), Natural Resources Conversation Services (NRCS) have partnered with cost-share programs like the Environmental Quality Incentives Program (EQIP) and Conservation Stewardship Program (CPS) to encourage adoption of cover cropping as a sustainable agricultural practice. While previous studies have explored cover crops in various aspects, few have analyzed the recent adoption trend of winter cover crops. With advancements in remote sensing and machine learning, this study aimed to map and analyze the recent adoption of winter cover crops over a six-year period from (2018-2023) in Minnehaha County. A Random Forest machine learning model was trained to generate annual winter cover crop maps, which was then used to assess the recent adoption trend within the county. Additionally, a hot spot analysis was conducted to identify the clustering patterns. The study utilized data from Sentinel-2 (10m), the United States Cropland Data Layer (CDL) (30m), and ground truth crop field data samples. The outcome of this research is to provide a comprehensive understanding of the recent adoption of winter cover crops. The research findings could provide valuable information that could be used to assist in informing and guiding sustainable agricultural policies and decisions towards the adoption of winter cover crops.
Publisher
South Dakota State University
Recommended Citation
Buechler, Belinda, "Remote Sensing - Based Mapping and Analysis of Winter Cover Crop Adoption for Sustainable Agriculture, Minnehaha County" (2025). Electronic Theses and Dissertations. 1504.
https://openprairie.sdstate.edu/etd2/1504
Included in
Agriculture Commons, Agronomy and Crop Sciences Commons, Physical and Environmental Geography Commons, Remote Sensing Commons