ArticleScientific data2025
National-Scale In-Season Field Boundaries of Ukraine Using Remote Sensing.
Article in Scientific data, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed.
- A Survey of Environmental Perception for Unmanned Ground Agricultural Machinery in Field Environments.Sensors (Basel, Switzerland) · 2026Review
- Field boundary delineation with seasonal sentinel 2 imagery using Segment Anything Model (SAM).MethodsX · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Field boundaries are essential for agricultural spatial analyses, providing insights into the spatial distribution of fields and supporting crop type mapping, yield prediction, and farm management practices. This study presents a comprehensive dataset of delineated field boundaries across Ukraine, generated using time-series of high-resolution PlanetScope satellite imagery. The method was developed to address the need for timely, in-season, and accurate field boundary data, particularly during rapidly evolving situations such as the ongoing conflict in Ukraine. The delineation process employs Planet's bi-weekly image composites at 3-meter spatial resolution, processed through Google Earth Engine, resulting in the delineation of over 5 million fields for the years 2021-2023. The accuracy of these delineations was evaluated against a reference dataset of 12,331 field boundaries derived from farming machinery equipped with GNSS (Global Navigation Satellite System) technology. This dataset provides valuable insights for researchers, policymakers, and agricultural practitioners, supporting decision-making processes related to food security, trade, and humanitarian aid. The method is applicable to other regions, offering a robust tool for agricultural analysis and management.
Identifiers
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.