Overlay Analysis: We identify and quantify overlap among different types of data to target potential conservation areas, or otherwise characterize important spatial relationships among wildlife, industrial sites, agricultural land, and boundary layers (among other datasets). We help clients and regulatory agencies characterize the extent of potential offsite chemical transport using existing models and data that are reflective of real-world conditions. We model aerial drift, field runoff, and down-the-drain exposure to produce chemical- and landscape-specific “action areas” that are useful for regulatory and health, climate, and conservation efforts.

Change Detection Analysis: CSI performs change detection analysis to characterize and contextualize updates to existing datasets. This enables us to identify areas of significant change and uncertainty. It also provides valuable information about the utility of older versions of a given dataset.

Land Cover Analysis: We incorporate high-value publicly available land use and land cover datasets, such as the Cropland Data Layer (CDL) and National Land Cover Database (NLCD), into much of our geospatial work. We use GIS tools, metadata, and other datasets to refine these layers at national, regional, and local scales to produce more reliable datasets that can better inform industry or conservation projects.

Hydrographic Modeling: CSI employs Digital Elevation Models (DEMs) and related datasets to generate custom stream network layers. This is necessary when publicly available streams layers are insufficiently accurate or too coarse for project decision-making at local scales.