UAS imagery protocols to map vegetation are transferable between dryland sites across an elevational gradient

This dataset consists of UAS flight images from three sites along an elevation and precipitation gradient within Reynolds Creek Experimental Watershed collected between June 4 and July 9, 2019. The lowest elevation site ('wbs1', 1,425 m) was vegetated by shrub steppe dominated Wyoming big sage (Artemisia tridentata ssp. wyomingensis). Vegetation at the middle elevation site ('los1', 1,680 m) was shrub steppe dominated by low sage (Artemisia arbuscula). Shrub steppe at the highest elevation site ('mbs1', 2,110 m) was dominated by mountain big sage (Artemisia tridentata ssp. vaseyana) and Utah snowberry (Symphoricarpos oreophilus utahensis). A MicaSense RedEdge 3 sensor mounted on a DJI Matrice 600 Pro UAS platform was used to collect multispectral imagery of each site. The drone was flown by a Federal Aviation Administration (FAA) Part 107 certified remote pilot between June 5 and July 9 2019. All flights were completed within two hours of solar noon. The RedEdge is a broadband multispectral sensor: blue (475nm), green (560nm), red (668nm), red edge (717nm), and near-infrared (840nm). The RedEdge sensor was radiometrically calibrated using a reflectance panel before and after each flight. A DJI Phantom 4 with the stock FC330 Red Green Blue (sRGB) camera was flown over each site to collect imagery at a finer spatial resolution to assist with training and test data for vegetation type classification.Resources in this dataset:Resource Title: UAS Imagery and Location Data - SCINet.File Name: Web Page, url: https://app.globus.org/file-manager?origin_id=904c2108-90cf-11e8-9672-0a6d4e044368&origin_path=/LTS/ADCdatastorage/NAL/published/node424632/Folder containing imagery (.zip) and location (.csv) data. The .zip files contain unprocessed visual (RGB) imagery in .jpg format acquired with a 12-MP DJI (Sony) FC330 camera and unprocessed multispectral, 5-band imagery in .tif format acquired with a MicaSense RedEdge-M sensor. Camera settings and EXIF information are embedded in the imagery files. The .csv files contain ground control point (GCP) labels and coordinate information recorded with an RTK instrument for GCP target (black/white cross) locations at the relevant study areas.SCINet users: The files can be accessed/retrieved with valid SCINet account at this location: /LTS/ADCdatastorage/NAL/published/node424632/ See the SCINet File Transfer guide for more information on moving large files: https://scinet.usda.gov/guides/data/datatransferGlobus users: The files can also be accessed through Globus by following this data link. The user will need to log in to Globus in order to retrieve this data. User accounts are free of charge with several options for signing on. Instructions for creating an account are on the login page.

本数据集由雷诺兹溪流域实验性流域内沿海拔和降水量梯度分布的三个地点收集的无人驾驶飞机（UAS）飞行图像组成，数据采集时间介于2019年6月4日至7月9日之间。最低海拔地点（'wbs1'，海拔1,425米）被以怀俄明大蒿（Artemisia tridentata ssp. wyomingensis）为主的灌木草原植被所覆盖。中等海拔地点（'los1'，海拔1,680米）的植被则以低矮蒿（Artemisia arbuscula）为主的灌木草原。最高海拔地点（'mbs1'，海拔2,110米）的灌木草原则由高山大蒿（Artemisia tridentata ssp. vaseyana）和犹他雪果（Symphoricarpos oreophilus utahensis）主导。数据采集使用了一款配备于大疆Matrice 600 Pro无人机平台的MicaSense RedEdge 3传感器，以收集每个地点的多光谱图像。无人机由联邦航空管理局（FAA）107部分认证的远程飞行员在2019年6月5日至7月9日期间操控飞行。所有飞行任务均在正午前后两小时内完成。RedEdge是一款宽带多光谱传感器，包括蓝光（475nm）、绿光（560nm）、红光（668nm）、红边光（717nm）和近红外光（840nm）。在每次飞行前后，均使用反射面板对RedEdge传感器进行了辐射校正。此外，还使用配备标准FC330红绿蓝（sRGB）相机的DJI Phantom 4无人机在各个地点上空飞行，以收集更高空间分辨率的图像，以辅助植被类型分类的训练和测试数据。该数据集包含的资源：
资源标题：无人机图像和位置数据 - SCINet。
文件名：网页，网址：https://app.globus.org/file-manager?origin_id=904c2108-90cf-11e8-9672-0a6d4e044368&origin_path=/LTS/ADCdatastorage/NAL/published/node424632/Folder containing imagery (.zip) and location (.csv) data. The .zip files contain unprocessed visual (RGB) imagery in .jpg format acquired with a 12-MP DJI (Sony) FC330 camera and unprocessed multispectral, 5-band imagery in .tif format acquired with a MicaSense RedEdge-M sensor. Camera settings and EXIF information are embedded in the imagery files. The .csv files contain ground control point (GCP) labels and coordinate information recorded with an RTK instrument for GCP target (black/white cross) locations at the relevant study areas.
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