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基于双期变化检测方法揭示乌克兰弃耕地的分布及变化情况。

Revealing the distribution and change of abandoned cropland in Ukraine based on dual period change detection method.

作者信息

Zhang Shike, Zhang Yinbao, Zhang Xinjia, Miao Changqi, Liu Sicong, Liu Jianzhong

机构信息

School of Geoscience and Technology, Zhengzhou University, Zhengzhou, 450001, China.

School of Geographic Information, Information Engineering University, Zhengzhou, 450001, China.

出版信息

Sci Rep. 2025 Feb 17;15(1):5765. doi: 10.1038/s41598-025-89556-2.

Abstract

Since the outbreak of the Russia-Ukraine conflict in 2022, Ukraine has experienced different types of abandoned cropland, such as unused and unattended cropland, as a result of war damage, agricultural infrastructure destruction, and refugee outflows. Common methods for detecting abandoned cropland have difficulty effectively identifying and distinguishing these different types. This study proposes a Dual-period Change Detection method to reveal the spatial distribution and changes of different types of abandoned cropland in Ukraine, which can aid in agricultural assessments and international assistance in conflict-affected areas. The method mainly utilizes time-series NDVI data to fit the crop curves corresponding to cropland on a pixel-by-pixel basis, and then establishes discrimination rules for different types of abandoned cropland based on the crop curves, so as to detect unused cropland in the pre-conflict period (2015-2021) as well as unused cropland and unattended cropland in the post-conflict period (2022-2023). Finally, the detection results are validated and accuracy assessed using medium and high resolution spatiotemporal remote sensing imagery interpretation. The results show that the overall accuracy of the abandoned cropland extraction in Ukraine ranges from 83 to 96% during the study period. Before the conflict, the national average unused rate was 1.6%, with the lowest in 2021 and the highest in 2018. In 2022, the unused cropland area was approximately twice the average unused area before the conflict, and it was widely distributed, with the area of unattended cropland reaching 462,000 hectares, mainly in the eastern part of Ukraine. In 2023, compared to 2022, the unused cropland area decreased by 67.8%, while unattended cropland increased by 116.7%. Both types of abandoned cropland exhibited spatial clustering, with major clusters identified in the Crimea region, Kherson Oblast, Zaporizhzhia Oblast, and Donetsk Oblast.

摘要

自2022年俄乌冲突爆发以来,由于战争破坏、农业基础设施损毁以及难民外流,乌克兰出现了不同类型的弃耕地,如未使用和无人照料的耕地。常用的弃耕地检测方法难以有效识别和区分这些不同类型。本研究提出一种双期变化检测方法,以揭示乌克兰不同类型弃耕地的空间分布和变化情况,这有助于受冲突影响地区的农业评估和国际援助。该方法主要利用时间序列归一化植被指数(NDVI)数据逐像素拟合耕地对应的作物曲线,然后基于作物曲线建立不同类型弃耕地的判别规则,从而检测冲突前时期(2015 - 2021年)的未使用耕地以及冲突后时期(2022 - 2023年)的未使用耕地和无人照料耕地。最后,利用中高分辨率时空遥感影像解译对检测结果进行验证和精度评估。结果表明,研究期间乌克兰弃耕地提取的总体精度在83%至96%之间。冲突前,全国平均未使用率为1.6%,2021年最低,2018年最高。2022年,未使用耕地面积约为冲突前平均未使用面积的两倍,且分布广泛,无人照料耕地面积达46.2万公顷,主要集中在乌克兰东部。2023年,与2022年相比,未使用耕地面积减少了67.8%,而无人照料耕地面积增加了116.7%。两种类型的弃耕地均呈现空间集聚特征,主要集聚区域位于克里米亚地区、赫尔松州、扎波罗热州和顿涅茨克州。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8e19/11833136/10244e18171f/41598_2025_89556_Fig1_HTML.jpg

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