Unpiloted Aerial System (UAS)-Supported Biogeomorphic Analysis of Restored Sierra Nevada Montane Meadows

The benefits of meadow restoration can be assessed by understanding the connections among geomorphology, hydrology, and vegetation; and multispectral imagery captured from unpiloted aerial systems (UASs) can provide the best method in terms of cost, resolution, and support for vegetation indices. Ou...

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Main Authors: Jerry Davis, Leonhard Blesius, Michelle Slocombe, Suzanne Maher, Michael Vasey, Peter Christian, Philip Lynch
Format: Article
Language:English
Published: MDPI AG 2020-06-01
Series:Remote Sensing
Subjects:
UAS
UAV
Online Access:https://www.mdpi.com/2072-4292/12/11/1828
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spelling doaj-8e7d6038c2614aa493a15573ffd61e6e2020-11-25T03:25:12ZengMDPI AGRemote Sensing2072-42922020-06-01121828182810.3390/rs12111828Unpiloted Aerial System (UAS)-Supported Biogeomorphic Analysis of Restored Sierra Nevada Montane MeadowsJerry Davis0Leonhard Blesius1Michelle Slocombe2Suzanne Maher3Michael Vasey4Peter Christian5Philip Lynch6Department of Geography & Environment, San Francisco State University, San Francisco, CA 94132, USADepartment of Geography & Environment, San Francisco State University, San Francisco, CA 94132, USACalRecycle, Sacramento, CA 95814, USAChabot College, Hayward, CA 94545, USASF Bay National Estuarine Research Reserve, San Francisco, CA 94920, USAHERE Technologies, Berkeley, CA 94704, USADepartment of Geography & Environment, San Francisco State University, San Francisco, CA 94132, USAThe benefits of meadow restoration can be assessed by understanding the connections among geomorphology, hydrology, and vegetation; and multispectral imagery captured from unpiloted aerial systems (UASs) can provide the best method in terms of cost, resolution, and support for vegetation indices. Our field studies were conducted on northern Sierra montane meadows (with ≤70 km<sup>2</sup> watershed area). The meadows exist in various stages of ecological restoration. Field survey methods included GPS + laser-leveling channel survey, cross-sections, LiDAR, vegetation sampling, soil measurements, and UAS imaging. A sensor captured calibrated blue (465–485 nm), green (550–570 nm), red (663–673 nm), near infrared (NIR) (820–860 nm), and red-edge (712–722 nm) bands at 5.5 cm resolution (as well as thermal at 81 cm resolution) and provided multispectral images and derivative vegetation indices such as the normalized difference vegetation index (NDVI) and red-edge chlorophyll index (Cl<sub>re</sub>). This fine-scale imagery extended our morphometric assessment of post-restoration channel bedform patterns and sinuosity related to <i>Carex</i>-influenced soil properties and <i>Salix</i> influence, and also documented groundwater-related effects via <i>Carex</i> patterns evident from spring snowmelt images, as well as NDVI and Cl<sub>re</sub> (derived from spring and summer images) in growing to senescent phenological stages. <i>Carex</i> was significantly associated with low bulk density and high soil moisture, NDVI, and Cl<sub>re</sub> in low-lying areas, and channel sinuosity was significantly associated with willow influence. Our methods can be applied by restoration managers to assess where projects are threatened by renewed incision and to document levels of carbon sequestration significant to addressing climate change.https://www.mdpi.com/2072-4292/12/11/1828UASUAVmeadowNDVIgeomorphologyrestoration
collection DOAJ
language English
format Article
sources DOAJ
author Jerry Davis
Leonhard Blesius
Michelle Slocombe
Suzanne Maher
Michael Vasey
Peter Christian
Philip Lynch
spellingShingle Jerry Davis
Leonhard Blesius
Michelle Slocombe
Suzanne Maher
Michael Vasey
Peter Christian
Philip Lynch
Unpiloted Aerial System (UAS)-Supported Biogeomorphic Analysis of Restored Sierra Nevada Montane Meadows
Remote Sensing
UAS
UAV
meadow
NDVI
geomorphology
restoration
author_facet Jerry Davis
Leonhard Blesius
Michelle Slocombe
Suzanne Maher
Michael Vasey
Peter Christian
Philip Lynch
author_sort Jerry Davis
title Unpiloted Aerial System (UAS)-Supported Biogeomorphic Analysis of Restored Sierra Nevada Montane Meadows
title_short Unpiloted Aerial System (UAS)-Supported Biogeomorphic Analysis of Restored Sierra Nevada Montane Meadows
title_full Unpiloted Aerial System (UAS)-Supported Biogeomorphic Analysis of Restored Sierra Nevada Montane Meadows
title_fullStr Unpiloted Aerial System (UAS)-Supported Biogeomorphic Analysis of Restored Sierra Nevada Montane Meadows
title_full_unstemmed Unpiloted Aerial System (UAS)-Supported Biogeomorphic Analysis of Restored Sierra Nevada Montane Meadows
title_sort unpiloted aerial system (uas)-supported biogeomorphic analysis of restored sierra nevada montane meadows
publisher MDPI AG
series Remote Sensing
issn 2072-4292
publishDate 2020-06-01
description The benefits of meadow restoration can be assessed by understanding the connections among geomorphology, hydrology, and vegetation; and multispectral imagery captured from unpiloted aerial systems (UASs) can provide the best method in terms of cost, resolution, and support for vegetation indices. Our field studies were conducted on northern Sierra montane meadows (with ≤70 km<sup>2</sup> watershed area). The meadows exist in various stages of ecological restoration. Field survey methods included GPS + laser-leveling channel survey, cross-sections, LiDAR, vegetation sampling, soil measurements, and UAS imaging. A sensor captured calibrated blue (465–485 nm), green (550–570 nm), red (663–673 nm), near infrared (NIR) (820–860 nm), and red-edge (712–722 nm) bands at 5.5 cm resolution (as well as thermal at 81 cm resolution) and provided multispectral images and derivative vegetation indices such as the normalized difference vegetation index (NDVI) and red-edge chlorophyll index (Cl<sub>re</sub>). This fine-scale imagery extended our morphometric assessment of post-restoration channel bedform patterns and sinuosity related to <i>Carex</i>-influenced soil properties and <i>Salix</i> influence, and also documented groundwater-related effects via <i>Carex</i> patterns evident from spring snowmelt images, as well as NDVI and Cl<sub>re</sub> (derived from spring and summer images) in growing to senescent phenological stages. <i>Carex</i> was significantly associated with low bulk density and high soil moisture, NDVI, and Cl<sub>re</sub> in low-lying areas, and channel sinuosity was significantly associated with willow influence. Our methods can be applied by restoration managers to assess where projects are threatened by renewed incision and to document levels of carbon sequestration significant to addressing climate change.
topic UAS
UAV
meadow
NDVI
geomorphology
restoration
url https://www.mdpi.com/2072-4292/12/11/1828
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