利用哨兵-1/2 图像和云计算跟踪厄尔尼诺洪水事件期间的水稻种植面积、洪水影响和缓解措施

IF 10.6 1区 地球科学 Q1 GEOGRAPHY, PHYSICAL ISPRS Journal of Photogrammetry and Remote Sensing Pub Date : 2024-08-29 DOI:10.1016/j.isprsjprs.2024.08.010
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引用次数: 0

摘要

在气候变化的背景下,厄尔尼诺现象的频繁发生带来了强降水和极端高温,严重干扰了农业生产。以往的工作主要集中在灾害期间监测作物种植面积和评估受影响的作物。然而,在整个灾害过程中,包括作物种植面积绘图、作物损害评估和减灾效果在内的综合分析却鲜有涉及。在本研究中,我们建立了一个综合框架,以快速调查 2023 年厄尔尼诺洪灾期间典型水稻产区--江西省的早稻种植面积、洪灾影响程度以及洪灾后的早稻减灾措施。首先,利用谷歌地球引擎(GEE)平台,基于使用 55 个优化训练特征构建的随机森林分类器,整合 15 天时间序列间隙填充的 Sentinel-1/2 数据集,绘制早稻种植区地图。然后,通过整合早稻种植区和基于 Sentinel-1 图像的洪水地图,生成受洪水影响的早稻地图。最后,利用随机森林算法和新栽水稻四个物候期的 Sentinel-1/2 图像合成的分类特征,识别了洪灾后的新栽水稻田。结果表明,早稻种植面积图、洪水图和新栽早稻图的总体准确率超过 90%。早稻种植面积达到 120 × 10 公顷,因暴雨受淹面积为 3.60 × 10 公顷(3%),新栽早稻面积为 3.43 × 10 公顷,最终减轻了洪涝灾害对早稻生产的影响。这项研究展示了所有可用的哨兵-1/2 数据、云计算和成熟的绘图算法在极端气候事件期间跟踪水稻面积、洪水影响和缓解措施(即洪水后重新种植)方面的潜力。所建立的框架有望成为农业适应极端气候事件的早期预警系统。
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Tracking paddy rice acreage, flooding impacts, and mitigations during El Niño flooding events using Sentinel-1/2 imagery and cloud computing

The frequent occurrence of El Niño events, in the context of climate change, brings heavy precipitation and extreme heat, severely disrupting agricultural production. Previous efforts have focused on monitoring crop planting areas and evaluating affected crops during disasters. Nevertheless, a comprehensive analysis, including crop planting area mapping, crop damage assessment, and mitigation effectiveness throughout the entire course of a disaster, has been seldom addressed. In this study, we built a comprehensive framework to rapidly investigate the areas of early rice, the extent of flooding impacts, and the post-flood mitigations of early rice during the El Niño flooding event in a typical rice production region – Jiangxi Province in 2023. Early rice planting areas were first mapped by integrating 15-day time series gap-filled Sentinel-1/2 datasets using the Google Earth Engine (GEE) platform, based on a random forest classifier built with the 55 optimized training features. Then the flood-affected early rice map was produced by integrating the early rice planting areas and the Sentinel-1 images-based flood map. Finally, the post-flood newly planted rice fields were identified using the random forest algorithm and classification features from the Sentinel-1/2 images composited during four phenology phases of newly planted rice. The results showed the early rice planting area map, the flooding map, and the newly planted early rice map have overall accuracies of over 90 %. The early rice planting areas reached 120 × 104 ha, and an area of 3.60 × 104 ha (3 %) was flooded due to the heavy rain, and 3.43 × 104 ha flooded areas were newly planted, eventually mitigating the flooding impacts on the production of early rice. This study showcases the potential of all the available Sentinel-1/2 data, cloud computing, and well-established mapping algorithms for tracking rice areas, flooding impacts, and mitigations (i.e., after-flooding replanting) during extreme climate events. The established framework is expected to serve as an early warning system for agricultural adaptation to extreme climate events.

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来源期刊
ISPRS Journal of Photogrammetry and Remote Sensing
ISPRS Journal of Photogrammetry and Remote Sensing 工程技术-成像科学与照相技术
CiteScore
21.00
自引率
6.30%
发文量
273
审稿时长
40 days
期刊介绍: The ISPRS Journal of Photogrammetry and Remote Sensing (P&RS) serves as the official journal of the International Society for Photogrammetry and Remote Sensing (ISPRS). It acts as a platform for scientists and professionals worldwide who are involved in various disciplines that utilize photogrammetry, remote sensing, spatial information systems, computer vision, and related fields. The journal aims to facilitate communication and dissemination of advancements in these disciplines, while also acting as a comprehensive source of reference and archive. P&RS endeavors to publish high-quality, peer-reviewed research papers that are preferably original and have not been published before. These papers can cover scientific/research, technological development, or application/practical aspects. Additionally, the journal welcomes papers that are based on presentations from ISPRS meetings, as long as they are considered significant contributions to the aforementioned fields. In particular, P&RS encourages the submission of papers that are of broad scientific interest, showcase innovative applications (especially in emerging fields), have an interdisciplinary focus, discuss topics that have received limited attention in P&RS or related journals, or explore new directions in scientific or professional realms. It is preferred that theoretical papers include practical applications, while papers focusing on systems and applications should include a theoretical background.
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