A method for detecting a change in an area of interest, the method comprising: 1) forming a pointcloud, the pointcloud comprising: a first set of points derived from a first set of one or more images, wherein each image included in the first set of images was obtained during a first period of time, t1, and each image included in the first set of images is an image of at least a portion of the area of interest; and a second set of points derived from a second set of one or more images, wherein each image included in the second set of images was obtained during a second period of time, t2, and each image included in the second set of images is an image of at least a portion of the area of interest, wherein each point of the pointcloud is associated with a location within the area of interest, and t1 is different than t2; 2) for each point included in the pointcloud, assigning a similarity score to the point, wherein the similarity score assigned to the point indicates a degree of similarity between the point and points within the first set of points; 3) for at least each point from the pointcloud that is included in a particular set of points: determining a value Nt and a value Nnew, wherein Nt is the total number of points within the pointcloud that are associated with a location that is within a defined geometrical volume in which the location to which said point is associated is also within, and Nnew is the total number of points within the pointcloud that are i) associated with a location that is within the defined geometrical volume and ii) included in the second set of points; and adjusting the similarity score assigned to the point based on Nt and Nnew; and 4) using the adjusted similarity scores to determine whether the area of interest has changed. 1) forming a pointcloud, the pointcloud comprising: a first set of points derived from a first set of one or more images, wherein each image included in the first set of images was obtained during a first period of time, t1, and each image included in the first set of images is an image of at least a portion of the area of interest; and a second set of points derived from a second set of one or more images, wherein each image included in the second set of images was obtained during a second period of time, t2, and each image included in the second set of images is an image of at least a portion of the area of interest, wherein each point of the pointcloud is associated with a location within the area of interest, and t1 is different than t2; a first set of points derived from a first set of one or more images, wherein each image included in the first set of images was obtained during a first period of time, t1, and each image included in the first set of images is an image of at least a portion of the area of interest; and a second set of points derived from a second set of one or more images, wherein each image included in the second set of images was obtained during a second period of time, t2, and each image included in the second set of images is an image of at least a portion of the area of interest, wherein each point of the pointcloud is associated with a location within the area of interest, and t1 is different than t2; 2) for each point included in the pointcloud, assigning a similarity score to the point, wherein the similarity score assigned to the point indicates a degree of similarity between the point and points within the first set of points; 3) for at least each point from the pointcloud that is included in a particular set of points: determining a value Nt and a value Nnew, wherein Nt is the total number of points within the pointcloud that are associated with a location that is within a defined geometrical volume in which the location to which said point is associated is also within, and Nnew is the total number of points within the pointcloud that are i) associated with a location that is within the defined geometrical volume and ii) included in the second set of points; and adjusting the similarity score assigned to the point based on Nt and Nnew; and determining a value Nt and a value Nnew, wherein Nt is the total number of points within the pointcloud that are associated with a location that is within a defined geometrical volume in which the location to which said point is associated is also within, and Nnew is the total number of points within the pointcloud that are i) associated with a location that is within the defined geometrical volume and ii) included in the second set of points; and adjusting the similarity score assigned to the point based on Nt and Nnew; and 4) using the adjusted similarity scores to determine whether the area of interest has changed.