气候变化领域集成服务门户(CCPortal): Can UAVs fill the gap between in situ surveys and satellites for habitat mapping?

CCPortal

DOI	10.1016/j.rse.2020.111780
	Can UAVs fill the gap between in situ surveys and satellites for habitat mapping?
	Alvarez-Vanhard E.; Houet T.; Mony C.; Lecoq L.; Corpetti T.
发表日期	2020
ISSN	00344257
卷号	243
英文摘要	Habitat mapping is an essential descriptor to monitor and manage natural or semi-natural ecosystems. Habitats integrate both the environmental conditions and the related biodiversity. However, it remains challenging to map certain habitats such as inland wetlands due to spectral, spatial and temporal variability in the vegetation cover. Currently, no satellite constellations optimize the spectral, spatial and temporal resolutions required to map wetlands according to the habitats discriminated from in situ surveys. Our approach aims to combine satellite and unmanned aerial vehicle (UAV) data to exceed their respective limitations. Both data sources were combined through a spectral unmixing algorithm with the hypothesis that endmembers from UAV data are pure enough to enhance plant community abundances estimated from satellite data. The experiment was conducted on the regional preserve of the Sougéal marsh, a wet grassland of 174 ha located upstream of the Mont-Saint-Michel Bay. Two satellite data sources - Sentinel-2 and Pleiades - and three acquisition periods - November 2017, April 2018 and May 2018 - were considered. A reference map of plant community distribution was produced from UAV multitemporal data and floristic surveys to validate the unmixing of satellite data. This study shows innovative results and perspectives: while UAV can improve habitat discrimination, results vary among acquisition periods and habitats. Results illustrate well the great potential of combined UAV and satellite data but also demonstrate the influence of endmembers on the unmixing process and technical limitations (e.g. spectral mismatches between sensors), which can be overcome using domain adaptation. © 2020 Elsevier Inc.
英文关键词	Endmember; Habitat mapping; LTSER Armorique; Sensor synergy; Spectral unmixing; Unmanned aerial vehicle; Wetlands
语种	英语
scopus关键词	Antennas; Biodiversity; Ecosystems; Mapping; Surveys; Unmanned aerial vehicles (UAV); Wetlands; Domain adaptation; Environmental conditions; Mont-saint-michel bays; Multi-temporal data; Satellite constellations; Spatial and temporal resolutions; Spatial and temporal variability; Technical limitations; Satellites; abundance; biodiversity; data acquisition; ecosystem management; environmental conditions; grassland; in situ measurement; plant community; Pleiades; satellite data; Sentinel; spatiotemporal analysis; unmanned vehicle; vegetation cover; wetland; France; Manche; Mont Saint Michel Bay; Normandie
来源期刊	Remote Sensing of Environment
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/179334
作者单位	CNRS UMR 6554 LETG, Université Rennes 2, Place du recteur Henri le Moal, Rennes, 35000, France; CNRS UMR 6553 ECOBIO, Université Rennes 1, Avenue Général Leclerc, Rennes, 35000, France; LTSER site “ZA Armorique”, France
推荐引用方式 GB/T 7714	Alvarez-Vanhard E.,Houet T.,Mony C.,et al. Can UAVs fill the gap between in situ surveys and satellites for habitat mapping?[J],2020,243.
APA	Alvarez-Vanhard E.,Houet T.,Mony C.,Lecoq L.,&Corpetti T..(2020).Can UAVs fill the gap between in situ surveys and satellites for habitat mapping?.Remote Sensing of Environment,243.
MLA	Alvarez-Vanhard E.,et al."Can UAVs fill the gap between in situ surveys and satellites for habitat mapping?".Remote Sensing of Environment 243(2020).