Feasibility of active handheld NDVI sensors for monitoring lichen ground cover

IF 1.9 3区 环境科学与生态学 Q3 ECOLOGY Fungal Ecology Pub Date : 2023-06-01 DOI:10.1016/j.funeco.2023.101233
R. Erlandsson , M.K. Arneberg , H. Tømmervik , E.A. Finne , L. Nilsen , J.W. Bjerke
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引用次数: 1

Abstract

Vegetation indices are corner stones in vegetation monitoring. However, previous field studies on lichens and NDVI have been based on passive sensors. Active handheld sensors, with their own light sources, enables high-precision monitoring under variable ambient conditions. We investigated the use of handheld sensor NDVI for monitoring pale lichen cover across three study sites from boreal heathlands to High Arctic tundra (62–79 °N), and compared it with Sentinel-2 satellite NDVI. NDVI decreased with increasing cover of pale lichens but the correlation between active and satellite NDVI varied between areas. NDVI values declined with lichen cover and ranged from 0.4–0.18 when lichen cover was above 40%. Active ground measurements of NDVI explained 81% of the variation in the satellite NDVI values in Svalbard (High Arctic), while the relationships were lower (∼30% explained variation) in boreal regions (Troms-Finnmark and Røros). We show that active sensors are feasible for extracting information from lichen-dominated vegetation.

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手持式有源NDVI传感器监测地衣地被的可行性
植被指数是植被监测的基石。然而,以前对地衣和NDVI的实地研究都是基于被动传感器。有源手持传感器自带光源,可在多变的环境条件下进行高精度监测。我们调查了使用手持传感器NDVI监测从北方荒原到高北极苔原(62–79°N)的三个研究地点的苍白地衣覆盖情况,并将其与哨兵2号卫星NDVI进行了比较。NDVI随浅色地衣覆盖率的增加而降低,但活动NDVI与卫星NDVI之间的相关性因地区而异。NDVI值随着地衣覆盖率的下降而下降,当地衣覆盖率超过40%时,NDVI值在0.4–0.18之间。NDVI的主动地面测量解释了斯瓦尔巴群岛(高北极)卫星NDVI值81%的变化,而北方地区(Troms-Fennmark和Røros)的关系较低(~30%解释了变化)。我们表明,有源传感器可以从地衣为主的植被中提取信息。
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来源期刊
Fungal Ecology
Fungal Ecology 环境科学-生态学
CiteScore
5.80
自引率
3.40%
发文量
51
审稿时长
3 months
期刊介绍: Fungal Ecology publishes investigations into all aspects of fungal ecology, including the following (not exclusive): population dynamics; adaptation; evolution; role in ecosystem functioning, nutrient cycling, decomposition, carbon allocation; ecophysiology; intra- and inter-specific mycelial interactions, fungus-plant (pathogens, mycorrhizas, lichens, endophytes), fungus-invertebrate and fungus-microbe interaction; genomics and (evolutionary) genetics; conservation and biodiversity; remote sensing; bioremediation and biodegradation; quantitative and computational aspects - modelling, indicators, complexity, informatics. The usual prerequisites for publication will be originality, clarity, and significance as relevant to a better understanding of the ecology of fungi.
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