Shifting the remote sensing paradigm for monitoring the critical zone using drones
Résumé
Remote sensing data are increasingly used to monitor the critical zone. This study argues that drones are transforming the remote sensing paradigm. While recent satellite constellations (e.g., Sentinel-1 and Sentinel-2) have revolutionized Earth observation through improved temporal resolution, most research efforts have focused on refining data processing methods to extract key environmental variables such as soil moisture (Gao et al. 2017), snow cover ( Gascoin et al. 2019), and crop classification (Blickensdörfer et al. 2022). In parallel, drone technology has become more prevalent. Their high flexibility and superior spatial, spectral, and temporal resolutions enable the acquisition of high-quality remote sensing data over limited areas. To monitor essential critical zone and biodiversity variables effectively, it is crucial to adapt acquisition protocols. These protocols must be defined through interdisciplinary collaboration, considering the processes under study before data collection. They should determine the optimal spectral and temporal resolutions based on the size of the target object (e.g., leaves, trees, landscapes), its characteristics, and the ecological, hydrological, or climatic processes influencing its behavior over time (e.g., hourly, daily, or seasonally). Drones show great potential for applications such as viticulture, forest ecology, and habitat mapping, though their use remains exploratory and experimental. This paper presents three case studies demonstrating the capabilities of drones in critical zone monitoring and their role in shifting the remote sensing paradigm
| Origine | Fichiers produits par l'(les) auteur(s) |
|---|---|
| Licence |