NCALM Seed Project. PI: James Kirchner, University of California, Berkeley. The survey area consisted of a 31 square kilometer polygon covering Lake Independence, CA, located about 50 kilometers west of Reno, NV. Publications associated with this dataset can be found at NCALM's Data Tracking Center

Axis Geospatial collected 1265 square miles in the South Carolina county of Berkeley, and 1124 sq miles in Charleston County. Precision Aerial Reconnaissance collected 965 square miles in Williamsburg county. The nominal pulse spacing for this project was 1 point every 0.7 meters. Dewberry used proprietary procedures to classify the LAS according to project specifications: 1-Unclassified, 2-G...

This dataset was collected using the Optech Gemini Airborne Laser Terrain Mapper (ALTM) using a beam wavelength of 1064 nm.

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.

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).

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 this link.

Publications associated with this dataset can be found at NCALM's Data Tracking Center

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.

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.

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).

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 this link.

Publications associated with this dataset can be found at NCALM's Data Tracking Center