five

Eel River Critical Zone Observatory July 2014 Lidar Survey (532 nm)

收藏
DataONE2017-05-12 更新2024-06-26 收录
下载链接:
https://search.dataone.org/view/sha256:0fb8415e559eeaced9ff9fcf205a2db559669c8ef65d134796f7e3e9d0bdbb04
下载链接
链接失效反馈
官方服务:
资源简介:
This dataset was collected using the Optech Aquarius ALTM, a hybrid laser mapping system which collects simultaneous land and shallow water-depth measurements using a beam wavelength of 532 nm. <br><br>This dataset was collected by NCALM for PI Dr. William Dietrich, University of California, Berkeley. The Eel River CZO is a multi-disciplinary research collaborative based at the University of California, Berkeley. CZO research explores how biotic and abiotic factors interact in the near-surface environment (from bedrook to tree tops) and how these relationships impact environmental processes. <br><br> The requested survey area consisted of a 1 km wide corridor, running for approximately 115 km along the Eel river. This survey was performed with 3 airborne remote sensing mapping systems. Two of these systems are LiDAR systems: 1) Optech Gemini Airborne Laser Terrain Mapper (ALTM) (serial # 06SEN195) which is an infrared laser mapping sensor and 2) Optech Aquarius ALTM (serial # 11SEN279) which is a hybrid laser mapping system as it collects simultaneous land and shallow water-depth measurements. It operates in the green spectrum, thus enabling it to penetrate water. These two LiDAR mapping systems along with an Optech 12-bit full waveform digitizer were mounted consecutively in a twin-engine Piper PA-31-350 Navajo Chieftain (Tail Number N154WW). <br><br>The third airborne sensor was for Hyperspectral imaging. This portion of the survey was performed with a CASI-1500 - a push broom type hyperspectral imaging sensor sold by ITRES. It is mounted on a vibration isolated mount together with the Gemini LIDAR sensor. Hyperspectral data are available via <a href=\"https://cloud.sdsc.edu/v1/AUTH_opentopography/PC_Bulk/CA14_Dietrich_Hyperspectral/\">this link</a>.<p><br>Publications associated with this dataset can be found at <a href=\"http://calm.geo.berkeley.edu/ncalm/dtc.html\" target=\"_blank\">NCALM's Data Tracking Center</a></p>
创建时间:
2023-10-16
二维码
社区交流群
二维码
科研交流群
商业服务