Seasonal depressional wetlands, or vernal pools, offer critical breeding habitats for diverse species (primarily amphibians and invertebrates) in northeastern America. Their seasonal aspect contributes to their uniqueness. Degradation and loss of these habitats are attributed to human activities such as urban development and some forestry activities. Thus, it is important to map vernal pools to plan conservation measures. We studied topographic depressions derived from airborne LiDAR Digital Elevation Models (3 m) combined with optical multitemporal satellite imagery provided by Pléiades (50 cm) to detect depressional wetlands with the objective of discriminating vernal pools from other small wetlands. We first set a hierarchical identification approach with five criteria to plan the field campaigns, but after using statistical analysis, we were able to reduce these to only one criterion, the temporal difference (May to September) of the Normalized Difference Water Index (NDWI). Our results suggest that vernal pool occurrence is highly correlated with the temporal difference of NDWI. The higher the difference, the higher the observed occurrence. Considering 81 field-validated vernal pools, the user’s accuracy reached 83% and the producer’s accuracy, 59%. Our study presents a simple approach to map vernal pools on large territories while considering their temporary status.

季节性的洼地湿地或春季水池为美国东北部的各种物种（主要是两栖动物和无脊椎动物）提供了重要的繁殖栖息地。它们的季节性有助于它们的独特性。这些生境的退化和丧失归因于人类活动，例如城市发展和某些林业活动。因此，映射春季池以规划保护措施非常重要。我们研究了从机载LiDAR数字高程模型（3 m）与Pléiades（50 cm）提供的光学多时相卫星图像结合得出的地形洼地，以检测洼地湿地，目的是将春季水池与其他小湿地区分开。我们首先使用五个标准设置了分层的识别方法来计划野战活动，但是在使用统计分析后，我们能够将其减少为仅一个标准，即归一化差异水指数（NDWI）的时间差异（5月至9月）。我们的结果表明，春季池的发生与NDWI的时间差异高度相关。差异越大，观察到的发生率越高。考虑到81个经过现场验证的春季库，用户的准确度达到83％，生产者的准确度为59％。我们的研究提出了一种简单的方法，可以在考虑大领土的临时状态的同时映射大领土上的春天的池。考虑到81个经过现场验证的春季库，用户的准确度达到83％，生产者的准确度为59％。我们的研究提出了一种简单的方法，可以在考虑大领土的临时状态的同时映射大领土上的春天的池。考虑到81个经过现场验证的春季库，用户的准确度达到83％，生产者的准确度为59％。我们的研究提出了一种简单的方法，可以在考虑大领土的临时状态的同时映射大领土上的春天的池。