Digital mapping of structural conservation practices in the Midwest U.S. croplands: Implementation and preliminary analysis

dc.contributor.author Martins, Vitor
dc.contributor.author Kaleita, Amy
dc.contributor.author Kaleita, Amy
dc.contributor.author Gelder, Brian
dc.contributor.department Agricultural and Biosystems Engineering
dc.date 2021-07-01T22:44:52.000
dc.date.accessioned 2021-08-14T00:16:55Z
dc.date.available 2021-08-14T00:16:55Z
dc.date.copyright Fri Jan 01 00:00:00 UTC 2021
dc.date.embargo 2023-02-02
dc.date.issued 2021-06-10
dc.description.abstract <p>The application of best management practices is a long-term conservation effort in Midwest U.S. croplands, and many farmers have adopted structural conservation practices (SCPs) to reduce soil erosion and surface water runoff, such as terraces and grassed waterways. Despite that, the geographic distribution of these practices is barely known in the region, and mapping initiatives are required to develop timely and spatially explicit inventories of SCP areas. This study presents the first mapping of SCPs in the agricultural areas over 12 Midwest U.S. states. Semantic segmentation model (adapted U-Net) and National Agriculture Imagery Program 2018–2019 data were used to map the SCP areas at 2-m spatial resolution (490.2 billion pixels). In general, mapping results achieved 78.2% overall accuracy across 20 counties. Our results indicate that 52% of SCP areas are distributed over Iowa (26%), Illinois (15%), and Nebraska (11%). In contrast, the states with the lowest SCP areas are Michigan and North Dakota, with less than 4% of SCP areas. Since the SCP extent is also dependent on the number of cropland areas per state, the percentage of SCP per cropland area was calculated. Specifically, the average percentage of SCP area per cropland is ~1.19%, ranging from 0.8 (e.g., North Dakota and south Minnesota) to 5.5% (e.g., northeast Kansas and southwest Iowa). Interestingly, results also illustrate that regions with high soil erosion rates present the largest percentage of SCP areas in croplands, indicating conservation efforts by farmers. While this preliminary analysis shows some limitations in the mapping quality (mislabel, non-accurate location or discontinuity of SCP areas), the framework has a potential for operational conservation monitoring. The development of such mapping has positive implications for conservation programs, and this geospatial inventory is easily accessible information for the large-area evaluation of conservation practices across Midwest U.S. croplands.</p>
dc.description.comments <p>This is a manuscript of an article published as Martins, Vitor S., Amy L. Kaleita, and Brian K. Gelder. "Digital mapping of structural conservation practices in the Midwest US croplands: Implementation and preliminary analysis." <em>Science of The Total Environment</em> 772 (2021): 145191. DOI: <a href="https://doi.org/10.1016/j.scitotenv.2021.145191" target="_blank">10.1016/j.scitotenv.2021.145191</a>. Posted with permission.</p>
dc.format.mimetype application/pdf
dc.identifier archive/lib.dr.iastate.edu/abe_eng_pubs/1225/
dc.identifier.articleid 2510
dc.identifier.contextkey 23621023
dc.identifier.s3bucket isulib-bepress-aws-west
dc.identifier.submissionpath abe_eng_pubs/1225
dc.identifier.uri https://dr.lib.iastate.edu/handle/20.500.12876/4vGXA60r
dc.language.iso en
dc.source.bitstream archive/lib.dr.iastate.edu/abe_eng_pubs/1225/2021_KaleitaAmy_DigitalMapping.pdf|||Fri Jan 14 19:16:38 UTC 2022
dc.source.uri 10.1016/j.scitotenv.2021.145191
dc.subject.disciplines Agriculture
dc.subject.disciplines Bioresource and Agricultural Engineering
dc.subject.keywords Conservation
dc.subject.keywords Terraces
dc.subject.keywords Grassed waterways
dc.subject.keywords Semantic segmentation
dc.subject.keywords U-net model
dc.title Digital mapping of structural conservation practices in the Midwest U.S. croplands: Implementation and preliminary analysis
dc.type article
dc.type.genre article
dspace.entity.type Publication
relation.isAuthorOfPublication 8a405b08-e1c8-4a10-b458-2f5a82fcf148
relation.isOrgUnitOfPublication 8eb24241-0d92-4baf-ae75-08f716d30801
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