Abstract:
The present art applies a unique conceptual model that uses image statistics of top-of-atmosphere reflectance to assess and then reverse atmospheric effects. The workflow first calibrates the method for an Earth observation satellite pre-operationally. Then, for operational conversion of each image of the satellite, the degree of atmospheric effect is mapped across an image to be converted and then reversed to deliver surface reflectance data for each pixel of the image. The resulting surface reflectance images have haze and thin clouds removed, are clarified for viewing and appropriate for automated analyses.
Abstract:
A method for correcting top-of-atmosphere reflectance data in high altitude imagery to a ground surface reflectance data. Transmission of light through Earth's atmosphere and its suspended load of aerosol particles degrades light within the visible through near infrared portion of the spectrum. This can severely affect the quality of the data recorded by orbiting Earth observation satellites. The method first measures the degree of atmospheric effects upon reflectance, then reverses these effects to deliver surface reflectance data and imagery cleaned of haze and thin clouds.
Abstract:
The present art applies a unique conceptual model that uses image statistics of top-of-atmosphere reflectance to assess and then reverse atmospheric effects. The workflow first calibrates the method for an Earth observation satellite pre-operationally. Then, for operational conversion of each image of the satellite, the degree of atmospheric effect is mapped across an image to be converted and then reversed to deliver surface reflectance data for each pixel of the image. The resulting surface reflectance images have haze and thin clouds removed, are clarified for viewing and appropriate for automated analyses.
Abstract:
Prevented planting occurs when fields cannot be planted during a time window due to wet conditions—this causes crop losses covered by insurance. Field visits to verify each prevented planting insurance claim seldom can be used to map the loss because fields too wet to plant are also too wet for loss adjusting. PP claims occur in wet years often in magnitudes straining crop loss-adjusting resources and preventing field visits to many claims. Statistical- and physical-based analysis employing weather, topography and satellite-based mapping of historic surface wetness rates the relative probability for PP claims throughout huge geographic regions. The method provides decision support that focuses adjuster attention to claims of low relative probability, possible fraud or unusual circumstances that require on-site documentation and establishes a safe threshold, above which claims can correctly be accepted as valid. The method provides digital documentation for the decision support process.
Abstract:
Prevented planting (PP), where wet conditions during the planting season prevent access to farmed fields, costs the United States an average of many hundreds of millions of dollars in crop losses each year. Crop insurance indemnifies most of the losses of PP on farmed land in the US. This system, method, and product uses Earth observation satellite data and geographic information system technology to provide automated PP crop-loss adjusting performed digitally to enhance crop loss adjusting efficiency, reduce loss-adjusting costs, assess crop losses across large geographic regions to forecast financial set asides to meet claim payouts, and parse data to all interested parties.
Abstract:
Prevented planting (PP), where wet conditions during the planting season prevent access to farmed fields, costs the United States an average of many hundreds of millions of dollars in crop losses each year. Crop insurance indemnifies most of the losses of PP on farmed land in the US. This system, method, and product uses Earth observation satellite data and geographic information system technology to provide automated PP crop-loss adjusting performed digitally to enhance crop loss adjusting efficiency, reduce loss-adjusting costs, assess crop losses across large geographic regions to forecast financial set asides to meet claim payouts, and parse data to all interested parties.
Abstract:
A system and method to use remote sensing to estimate crop water use that is forecasted and is updated as weather and new satellite data become available. From these data the system and method uses a water accounting algorithm to prescribe irrigation differentially for regions of a field or for the entire field as an average. Irrigation prescription is delivered remotely through Internet technology.
Abstract:
A method for controlling dust on a saline lakebed is disclosed comprising several methods such as a Brine Membrane method, an Interim method and a Springtime Conservation method. A Master method for determining which of the three methods to use under certain circumstances is described. Prospective application of the methods is for dry lakebeds, such as the Owens Lakebed in California.