Best ChatGPT prompts for Cartographers and Photogrammetrists

Given a set of satellite images with varying levels of distortion and a digital elevation model (DEM) of the area, develop a step-by-step workflow to orthorectify the images using a combination of geometric and radiometric corrections, taking into account the sensor's calibration parameters and the atmospheric conditions at the time of acquisition, and output a set of orthorectified images with associated metadata and quality control metrics.

Using a set of control points with known coordinates and a network of observed distances and angles between them, apply a least-squares adjustment algorithm to estimate the optimal coordinates of the control points, taking into account the uncertainties associated with each observation and the constraints imposed by the geodetic datum, and output a set of adjusted coordinates with associated covariance matrices and residual plots.

Develop a machine learning-based workflow to automatically extract features such as buildings, roads, and vegetation from a LiDAR point cloud dataset, using a combination of point cloud filtering, segmentation, and classification algorithms, and output a set of extracted features in a GIS-compatible format, along with associated metadata and quality control metrics, and taking into account the point density, scanner settings, and environmental conditions.

Given a set of mapping products, including topographic maps, 3D models, and geospatial databases, develop a comprehensive quality control checklist to evaluate the accuracy, completeness, and consistency of the products, taking into account the specifications and standards of the relevant mapping authorities, and output a set of quality control metrics, including error rates, accuracy assessments, and compliance reports, and recommend corrective actions to address any identified deficiencies.