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Mapping Crops Using Hyperspectral Data Jean Woods, Simon Eching, Ramesh Gautam, Scott Hayes, Mohammad Mostafavi, Tom Hawkins Land Use Program California.

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Presentation on theme: "Mapping Crops Using Hyperspectral Data Jean Woods, Simon Eching, Ramesh Gautam, Scott Hayes, Mohammad Mostafavi, Tom Hawkins Land Use Program California."— Presentation transcript:

1 Mapping Crops Using Hyperspectral Data Jean Woods, Simon Eching, Ramesh Gautam, Scott Hayes, Mohammad Mostafavi, Tom Hawkins Land Use Program California Department of Water Resources

2 Potential Study Areas Sacramento – San Joaquin Delta Oxnard Plain / Ventura County Salinas Valley / Monterey County Imperial Valley

3 Objectives Determine which crops can be accurately differentiated from each other using hyperspectral imagery Gain experience and skill in the analysis of hyperspectral data Integrate the analysis of hyperspectral imagery with the analysis of time series Landsat data to identify crops

4 Preliminary Information Needed Final map of the flightlines Image acquisition dates for each flight area Resolution of imagery Image format File sizes and data storage space requirements Level of correction/processing of data (geometric, radiometric and atmospheric) Could a July or August flight be included next year to capture data on summer crops? Will flightlines change next year?

5 Potential DWR Land Use Projects Map winter/spring crops, primarily in the Delta. Classify orchard crops, vineyards, pasture, grain, alfalfa, asparagus, cabbage, lettuce, broccoli, onions/leeks, garbanzo beans, sugar beets, safflower, fallowed fields and other crops identified through ground truth collection. Classify hyperspectral imagery to map crops in other study areas if ground truth data is available.

6 Changes that Would Benefit Crop Mapping Midsummer flights Flights over additional agricultural areas such as the Salinas Valley or the entire Oxnard Plain

7 Processes to Develop Identify the specific bands of the HyspIRI data that are useful for differentiating between individual crops produced in the Delta. Use hyperspectral data in conjunction with Landsat 8 time series data to map crops.

8 Other Potential Applications of Hyperspectral Imagery Identify soil types with high and low albedo values to improve the delineation of hot pixels for estimating evapotranspiration with SEBAL or RESET Create a surface temperature map of the Delta and examine its relationship to soil types and seepage


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