Abstract: A powerful very strong commercial grade hand operated tool for removing weeds intact from a standing position. The tool includes cushions on the handles that are firm and pleasant to use and are replaceable. There are bolts contained in the retaining device that are also replaceable. A completely serviceable tool. There is an ejector disc contained within the retaining device on the bottom end used to expel the weed debris from the tool into a refuse container, this action is spring loaded from the top end of the tool.

Abstract: System and method for compressing electronic data such as, for example topological data (altitude/depth) or geospatial data (latitude/longitude) with constrained loss of fidelity. With respect to altitude/depth data, the system and method allow for a mixture of shoreline and deep water to be thinned within the same mesh without appreciable loss of information in either region. System and method retain underlying grid values, opening RTIN functionality for any sphere where original grid positions must be preserved. System and method provide for encryption/decryption of electronic data.

Abstract: System and method for compressing electronic data such as, for example topological data (altitude/depth) or geospatial data (latitude/longitude) with constrained loss of fidelity. With respect to altitude/depth data, the system and method allow for a mixture of shoreline and deep water to be thinned within the same mesh without appreciable loss of information in either region. System and method retain underlying grid values, opening RTF N functionality for any sphere where original grid positions must be preserved. System and method provide for encryption/decryption of electronic data.

Abstract: System and method for estimating uncertainty by obtaining conditional probability densities of bathymetric uncertainty due to navigation error and bottom slope using a Monte Carlo technique, using the Monte Carlo results to train a Bayesian Network to provide the causal relationships of navigation error and bottom slope to bathymetric uncertainty, producing a histogram of bathymetric uncertainty from the Bayesian Network of the uncertainty for an area similar to the training set area, and estimating the uncertainty based on the histogram produced by the Bayesian Network.

Abstract: System and method for improving the accuracy of a numerical model by estimating uncertainty for gridding algorithms. An extra uncertainty term is added to the zeroth-order CUBE uncertainty estimator to compute uncertainty which can be provided to a numerical model. The system and method can estimate the uncertainty for any spatial data, for example, but not limited to, bathymetry data.

Abstract: System and method for improving the accuracy of a numerical model by estimating uncertainty for gridding algorithms. An extra uncertainty term is added to the zeroth-order CUBE uncertainty estimator to compute uncertainty which can be provided to a numerical model. The system and method can estimate the uncertainty for any spatial data, for example, but not limited to, bathymetry data.

Abstract: System and method for estimating uncertainty by obtaining conditional probability densities of bathymetric uncertainty due to navigation error and bottom slope using a Monte Carlo technique, using the Monte Carlo results to train a Bayesian Network to provide the causal relationships of navigation error and bottom slope to bathymetric uncertainty, producing a histogram of bathymetric uncertainty from the Bayesian Network of the uncertainty for an area similar to the training set area, and estimating the uncertainty based on the histogram produced by the Bayesian Network.