CHESS 2025: Location data for field observations and sampling

This dataset represents geolocation data associated with field observations and sampling from the Colorado Headwaters Ecological Spectroscopy Study (CHESS) during June and July of 2025. Location data were collected using Trimble DA2 Global Navigation Satellite System (GNSS) receivers with Trimble Catalyst 2 centimeter (cm) positioning service and the Environmental Systems Research Institute (Esri) Field Maps mobile app. Files in this data package include meadow site polygons, shrub site polygons, tree site polygons and stem point locations, and Leaf Area Index (LAI) plot polygons (.geojson). The geojson files can be opened with open-source GIS software (e.g, QGIS). A csv file is also provided with point coordinates for all locations.
CHESS Project Description: The Colorado Headwaters Ecological Spectroscopy Study (CHESS) comprised a multi-week airborne remote sensing and field observation campaign in the Upper Gunnison Basin, Colorado, conducted in June and July of 2025. Airborne remote sensing was conducted by the National Ecological Observatory Network Airborne Observation Platform (NEON AOP), concurrent with a field campaign run by the Rocky Mountain Biological Laboratory (RMBL), the Lawrence Berkeley National Laboratory (LBNL) and SLAC National Accelerator Laboratory Watershed Function Science Focus Area (SFA), and NASA-JPL (Jet Propulsion Laboratory) Earth Surface Mineral Dust Source Investigation (EMIT) program. Between June 10 and July 18, 2025, the NEON AOP flight team collected high-resolution aerial imaging spectroscopy and Light Detection and Ranging (LiDAR) data over three domains: the Upper East River (CRBU), Almont Triangle (ALMO), and the Upper Taylor Basin (UPTA). In coordination with the flights, a field campaign acquired ground-truth observations, including observations of vegetation composition, foliar traits, forest demography, and subsurface properties in 18 core sampling areas within the domains. Additional surface water observations were taken at over 380 point locations. All CHESS campaign datasets can be found within the CHESS ESS-DIVE data portal: https://data.ess-dive.lbl.gov/portals/chess.
Funding Acknowledgment: Field and remote-sensing data acquisition was performed under a grant from the National Aeronautics and Space Administration (80NSSC24K1005). This work was also supported by the Watershed Function Science Focus Area at Lawrence Berkeley National Laboratory funded by the US Department of Energy, Office of Science, Biological and Environmental Research under Contract No. DE-AC02-05CH11231.

本数据集为2025年6月至7月期间，科罗拉多河源生态光谱研究（Colorado Headwaters Ecological Spectroscopy Study, CHESS）的野外观测与采样相关地理定位数据。
该数据集的位置信息通过Trimble DA2全球导航卫星系统（Global Navigation Satellite System, GNSS）接收机搭配Trimble Catalyst 2厘米（cm）定位服务，以及环境系统研究所（Environmental Systems Research Institute, Esri）的Field Maps移动应用程序采集获得。本数据包包含草甸样地多边形、灌丛样地多边形、林木样地多边形与样点坐标，以及叶面积指数（Leaf Area Index, LAI）样地多边形文件（格式为.geojson）。此类GeoJSON文件可通过开源地理信息系统（Geographic Information System, GIS）软件（如QGIS）打开，此外还提供了包含所有点位坐标的CSV格式文件。

CHESS项目说明：科罗拉多河源生态光谱研究（CHESS）是一项为期数周的航空遥感与野外观测项目，实施于2025年6月至7月的科罗拉多州甘尼森上游流域。本次航空遥感作业由国家生态观测站网络航空观测平台（National Ecological Observatory Network Airborne Observation Platform, NEON AOP）完成，同步开展的野外作业由落基山生物实验室（Rocky Mountain Biological Laboratory, RMBL）、劳伦斯伯克利国家实验室（Lawrence Berkeley National Laboratory, LBNL）与SLAC国家加速器实验室流域功能科学聚焦区（Watershed Function Science Focus Area, SFA），以及NASA-JPL（美国国家航空航天局喷气推进实验室）地球表面矿物粉尘源调查（Earth Surface Mineral Dust Source Investigation, EMIT）项目团队联合执行。2025年6月10日至7月18日期间，NEON AOP飞行团队在三个研究区域——东河上游（CRBU）、阿尔蒙特三角地带（ALMO）以及泰勒河上游流域（UPTA）采集了高分辨率航空成像光谱数据与激光雷达（Light Detection and Ranging, LiDAR）数据。配合航空飞行作业，野外作业团队在上述区域内的18个核心采样区获取了地面验证观测数据，包括植被组成、叶片性状、森林种群结构与地下属性观测。此外还在超过380个点位开展了地表水观测。所有CHESS项目数据集均可在CHESS ESS-DIVE数据门户获取：https://data.ess-dive.lbl.gov/portals/chess。

资助声明：本项目的野外与遥感数据采集工作由美国国家航空航天局（National Aeronautics and Space Administration, NASA）资助项目（编号80NSSC24K1005）支持。本研究同时得到劳伦斯伯克利国家实验室流域功能科学聚焦区的资助，该项目由美国能源部科学办公室生物与环境研究局资助，合同编号DE-AC02-05CH11231。