Using PlanetScope NDVI time series to detect the phenology of individual trees in the Sahel

IF 11.4 1区 地球科学 Q1 ENVIRONMENTAL SCIENCES Remote Sensing of Environment Pub Date : 2025-05-01 Epub Date: 2025-02-27 DOI:10.1016/j.rse.2025.114650
Yasmin Fitts , Compton Tucker , Pierre Hiernaux , Yves Auda , Laurent Kergoat
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Abstract

New advancements in satellite technology enable more accurate observation of woody population dynamics, providing greater insights into the underlying processes that influence their change. In this study, we evaluate the use of PlanetScope NDVI time series to track the phenology of individual trees in the Sahel, where ground-based environmental surveys are scarce. Five-year NDVI time series were produced for 398 trees with known species recorded in Mali, Senegal, and Niger. Clouds and high aerosol contamination were filtered using MODIS products and focused on the dry season to minimize the influence of background NDVI directly (through crown influence) or indirectly (through adjacency effects). Each NDVI time series profile was fitted with a spline model to obtain the minimum NDVI day of year during the dry season. PlanetScope NDVI time series accurately captured the photosynthetic phenology of individual tree crowns in the Sahel, with discernable differences between individuals and species. When species were grouped based on four phenology types, deciduous and inverse deciduous species exhibited a relatively consistent phenological pattern across all sites. The phenology of semi-evergreen species and evergreen species, which include species with few leaves, was more heterogeneous. Intra-species variation was relatively modest between sites, and most species maintained a similar NDVI profile, with shifts in leaf phenology events correlating with the timing of the wet season in each site. Overlap between the different phenology groups indicates that transitions between phenology types and species are not clear-cut, and even individuals of the same species can demonstrate plasticity. Furthermore, NDVI profiles were extracted for 500 randomly selected tree samples within eight 10 km2 clip boxes distributed along the West African rainfall gradient from 9.9° to 16.6° latitude at −1.6° longitude. This analysis showed a strong relationship between the phenology of woody plants and the timing and distribution of rainfall at each latitude. Green-up of woody vegetation before herbaceous vegetation was marked in the more southern Sahelo-Sudanian latitudes. Additionally, despite the prolonged dry season in the more northern semi-arid latitudes, trees retained their greenness remarkably late into the dry season. Increased air temperature and dryness as a result of climate change could impact tree function in this region and needs individual-based monitoring.
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利用PlanetScope NDVI时间序列检测萨赫勒地区单个树木的物候特征
卫星技术的新进展使我们能够更准确地观察树木种群动态,更深入地了解影响其变化的基本过程。在这项研究中,我们评估了使用PlanetScope NDVI时间序列来跟踪萨赫勒地区单个树木的物候,那里的地面环境调查很少。对马里、塞内加尔和尼日尔记录的398棵已知树种进行了5年NDVI时序分析。使用MODIS产品过滤云和高气溶胶污染,并将重点放在旱季,以尽量减少背景NDVI直接(通过树冠影响)或间接(通过邻接效应)的影响。利用样条模型拟合各NDVI时间序列剖面,得到旱季NDVI日的最小值。PlanetScope NDVI时间序列准确地捕获了萨赫勒地区单个树冠的光合物候,在个体和物种之间存在明显差异。根据4种物候类型对物种进行分组时,所有样地的落叶和逆落叶物种的物候模式相对一致。半常绿种和常绿种(含少叶种)物候差异较大。不同地点间的种内变化相对较小,大多数物种保持相似的NDVI剖面,每个地点的叶片物候事件的变化与雨季的时间相关。不同物候类群之间的重叠表明物候类型和物种之间的过渡并不明确,甚至同一物种的个体也表现出可塑性。此外,在8个10 km2的夹盒内随机抽取500个树木样本的NDVI剖面,这些样本分布在西非降雨量梯度为- 1.6°、纬度为9.9°至16.6°的区域。分析结果表明,各纬度地区木本植物物候特征与降水时间和分布有密切关系。在更南部的萨赫勒-苏丹纬度地区,木本植被比草本植被更早变绿。此外,尽管在更北部的半干旱纬度地区旱季延长,但树木在旱季后期仍显着保持绿色。气候变化导致的气温升高和干旱可能会影响该地区树木的功能,需要进行个体监测。
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来源期刊
Remote Sensing of Environment
Remote Sensing of Environment 环境科学-成像科学与照相技术
CiteScore
25.10
自引率
8.90%
发文量
455
审稿时长
53 days
期刊介绍: Remote Sensing of Environment (RSE) serves the Earth observation community by disseminating results on the theory, science, applications, and technology that contribute to advancing the field of remote sensing. With a thoroughly interdisciplinary approach, RSE encompasses terrestrial, oceanic, and atmospheric sensing. The journal emphasizes biophysical and quantitative approaches to remote sensing at local to global scales, covering a diverse range of applications and techniques. RSE serves as a vital platform for the exchange of knowledge and advancements in the dynamic field of remote sensing.
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