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Remote Sensing

Land IQ leverages a full range of satellite and airborne remote sensing products to match client needs, including:

  • Commercially available satellite data products
  • Multispectral and hyperspectral imagery
  • Thermal products
  • LiDAR
  • Other specialty products such as GPR (ground penetrating radar) and EM (electromagnetic field sensor)

We combine these products with our understanding of agricultural and other natural systems, landscape processes, plant communities, land management, production agriculture, and plant phenology to guide our analytical approaches. Our data products can be delivered in both traditional and interactive formats, and include maps showing crop types, irrigated and non-irrigated lands, vegetative cover types, and soils and soil surfaces. Land IQ's team of statisticians, remote sensing specialists, soil scientists and agronomists have also developed tools used for in-season precision agriculture, market assessments, and resource management.

Coldwater Mitigation with the California Department of Water Resources and Rice Growers

crop yield geospatial analysis Agriculture Remote Sensing Water Resources

Beginning in 2006, Land IQ personnel were instrumental in developing, negotiating, and implementing a settlement agreement between three rice-growing irrigation districts and the California Department of Water Resources (collectively the Parties). The Parties sought an agreeable means to determine fair compensation for rice crop yield loss (valued between $1M and $3M/year) due to lower water temperatures caused by operation of the State’s Oroville Reservoir. District diversions pre-dated the reservoir’s construction. The agreed technical methods had to be specific enough to provide the Parties certainty, defensible and credible enough to gain stakeholders’ financial support, and sufficiently flexible to allow future innovations to improve efficiency and/or accuracy. The agreement was signed in April 2008.

Land IQ has provided diverse technical support to the Parties during implementation by overseeing water temperature and yield monitoring, developing monitoring methods and databases, coordinating with growers, and conducting sophisticated geospatial analyses to identify and quantify fields, irrigation system features, and rice crop extent and yield. We developed a unique and accurate method of estimating rice yield loss from cold water damage using geospatial analytical techniques. Our success on this project is the result of a highly integrated team of scientists working together to create innovative and meaningful solutions for our client.

Owens Playa Surface Characterization

dust control native vegetation wetlands GIS soil classification salt crust Remote Sensing

Land IQ staff have been instrumental throughout the development of the Owens Lake Dust Mitigation Program, which now consists of 43 square miles of dust control facilities (including shallow flooding, gravel, native vegetation and mitigated wetlands). These facilities are successfully controlling what was one of the largest sources of PM10 (windblown dust) in the world.

Land IQ’s remote sensing specialists have assisted the Los Angeles Department of Water and Power (LADWP) in developing dust control and monitoring technologies, including innovative remote ground characterization and monitoring tools for the over 100 square mile project area.

Our advanced and customized remote sensing analyses assist operational personnel in facility management and optimization. These remote monitoring methods also serve as the basis for dust control compliance tracking and determinations. Satellite imagery, remote sensing and GIS techniques are used to map, analyze, and monitor the following characteristics on up to 100 square miles of playa surface:

  • Playa surface characteristics including salt crust and soil classification, moisture and relief
  • Surface wetness classes including standing water, saturated, and moist surfaces
  • Vegetative cover including specific vegetative conditions (plant community and phenological status)
  • Surface feature identification including traffic paths, stormflows, and sand and dune extents

Our remote sensing and science team has provided accurate and cost-effective monitoring data over a broad expanse that would otherwise be infeasible. Land IQ continues to develop new remote sensing methods to address evolving client and project needs.

Invasive Species Mapping

invasive species monitoring Remote Sensing

Land IQ worked in Ventura County on a program to control giant reed (Arundo donax) along the Santa Clara River. This effort was the first part of a 233-acre comprehensive habitat restoration plan. A Hydro-Ax was initially used to shred dense stands of giant reed, followed by herbicide application to treat root ball re-growth. Difficult access and time constraints made field monitoring difficult.

Therefore, we applied remote sensing to develop monitoring techniques for the area. Utilizing freely-available natural color photography and advanced remote sensing techniques, A. Donax cover was successfully quantified over the 223-acre site for the years 2005, 2007 and 2009. Remote sensing methodology makes it possible to efficiently delineate this invasive species in otherwise impenetrable areas of the project site and dramatically increases efficiency of the project’s 7-year monitoring program.

Imperial Irrigation District Crop Mapping and Sea Floor Exposure Analysis

dust control air quality crop identification Remote Sensing Agriculture

Land IQ is working with the Imperial Irrigation District (IID) on water operations and technologies for dust mitigation on expanding exposed Salton Sea floor. Land IQ conducted multiple remote sensing analyses to support IID's water delivery operations and Air Quality Mitigation Program. Our agricultural scientists and remote sensing specialists used advanced, object-based methods to identify crops and cropping patterns for over 20,000 acres of this diverse agricultural district. In addition, we have prepared an analysis of sea floor exposure rates and extent to support development of air quality monitoring networks, inform air quality monitoring data interpretation, and help in locating air quality pilot mitigation study areas.

Our specialized analysis and ground verification methods allow for greater detail and accuracy in crop identification/surface mapping than other traditional or remote methods and provide cost-effective solutions for assessment of large land areas.