Institute for Spatial Analysis

Project Information

Mapping of Serpentine Soils in the Storrie Fire and Meadow Valley Regions of Plumas and Lassen National Forests, USFS, 2010-2012, Mahesh Rao (PI).The main goal of this project is to develop a serpentine soil map for the Storrie Fire region in the Lassen and Plumas National Forests using remote sensing data. Existing geologic maps were used as references to initially identify possible serpentine soil locations. An updated map of serpentine soils in the Storrie Fire Area would help researchers that are currently engaged in studying rare endemics in the region. ArcGIS online map of Study Area

Estimating Coarse Woody Debris in the Blacks Mountain Experimental Forest using LiDAR data, USFS-PSW, 2012, Mahesh Rao (PI).Our study investigates the application of LiDAR remote sensing in estimating Coarse Woody Debris, particularly standing snags within the field plots set up in the Blacks Mountain Experimental Forest (BMEF) located in Lassen County, CA. In order to study the ecological impacts of downed dead trees in the BMEF, especially pertaining to surface fuel loads and biomass accumulation, it is important the spatial distribution of CWD are mapped for purposes of accurate inventory.ArcGIS online map of Study Area

Spatio-Temporal Analysis of Carbon Dynamics in the Redwoods Ecosystem, USDA-McIntyre Stennis, 2010-2012, Mahesh Rao (PI). Accurate delineation of biomass distribution at scales from local and regional to global becomes significant in reducing the uncertainty of carbon emission and sequestration. The main goal of the project is to estimate long-term carbon sequestration potential of the redwoods ecosystem. The project involves using the USFS FUSION model to extract important forest structural paramters such as Canopy Height Model (CHM) from LiDAR data available for the study area located in the Prairie Creek Redwood State Park, CA.

Developing and Evaluating an Impervious Area Connectivity Map for Lake Tahoe Basin Using an Integrated LiDAR/GIS–Based Modeling Approach, Mahesh Rao (PI). Our proposed work will utilize the recent SNPLMA-funded acquisition of LiDAR and multispectral imagery for the basin to develop fine scale terrain surface models, flow network and impervious surface connectivity layers for the urban areas of the Lake Tahoe basin. Additionally, we will determine whether the performance of the Pollutant Load Reduction Model (PLRM) can be improved using the precise urban source area characterizations generated by this project.

Humboldt State University page for the Central and Northern California Ocean Observing System (CeNCOOS): ISA staff and student researchers developed and maintain the CICORE website, including support for plotting of data streams from real-time data loggers.