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This master collection of prompts for surveyors represents the gold standard in integrating Artificial Intelligence for the earth sciences. Meticulously designed by instructional design experts, it allows you to automate the writing of complex technical reports, optimize the analysis of geodetic coordinates and streamline decision making in critical infrastructure projects. It is the ultimate tool for the professional seeking absolute precision and unprecedented operational efficiency. By implementing this library, you will transform your workflow from data capture in the field to the final delivery of descriptive and cadastral reports. Each section addresses specific challenges such as point cloud processing, reference system management, and legal land validation. Boost your analysis capabilities and minimize human error with logical structures optimized for the most advanced language models on the market today.
He acts as an expert consultant in real estate law and surveyor expert specialized in technical-legal coordination between the Cadastre and the Property Registry. Your mission is to write a highly complex technical and legal supporting report to resolve a lack of agreement in the property called [Name of the Property/Project], identified with the Cadastral Reference [Reference Number] and the registry data [Volume, Book, Folio, Property]. The document must begin with a clear statement of reasons, describing the current discrepancy situation: [Describe if it is excess/defect of space or displacement of boundaries]. You must argue that the description contained in the actual folio does not coincide with the physical reality of the land or with the cadastral graphic representation, which generates a situation of legal uncertainty that must be corrected through the corresponding rectification procedure. Develop a detailed analysis of the surrounding areas, mentioning that after the precision survey carried out on [Survey Date], the turning points of the historic walls and fences that define the property have been accurately identified. It is imperative to declare that the proposed new delimitation does not imply an alteration of the fixed boundaries or an invasion of neighboring plots or public domain assets, basing this statement on the physical consolidation of the property over the years. It includes a technical section explaining the methodology for capturing georeferenced data, the use of total stations or GNSS systems with differential corrections, and obtaining coordinates in the official system [Indicate System, e.g. ETRS89]. The text must conclude with a formal request to initiate a file (type Art. 199 LH or similar) for the incorporation of the alternative georeferenced graphic representation to the registry folio, requesting the rectification of the surface to [Actual Measured Surface] square meters. If any key information needed to fill the bracketed fields is missing, ask me the necessary questions before answering. Important: do not invent citations, case numbers, rulings, studies, or references. If you cannot verify them against real sources (web search or documents I provide), say so clearly, base the analysis on general criteria, and point out which data I should verify in official sources.
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He acts as a Geomatics Engineer and Remote Sensing Specialist with extensive experience in the treatment of massive point clouds obtained through LiDAR (Light Detection and Ranging) technology. The objective of this prompt is to design an advanced and automated technical protocol for the identification, segmentation and elimination of 'dynamic noise' or moving obstacles within a point cloud captured in an environment of type [Environment: Urban/Industrial/Road Infrastructure]. These elements, which include moving vehicles, pedestrians, animals or construction machinery, must be filtered with surgical precision to allow the generation of accurate Digital Terrain Models (DTM) and avoid distortions in the as-built topographic analysis. The workflow should focus on using leading tools such as [Preferred_Software: TerraScan/CloudCompare/Global Mapper/PointCab] and consider a point density of [Capture_Density: pts/m2]. It begins the process by describing the application of spatial statistics filters, specifically the 'Statistical Outlier Removal' (SOR) filter, detailing the calculation of the number of neighbors (Mean Distance) and the standard deviation threshold necessary to isolate points that do not have geometric coherence with the static base. It is imperative that the analysis distinguishes between objects that move at different speeds and those that, although static during capture, are not part of the permanent topography. It develops a section dedicated to automatic classification using cluster segmentation algorithms and trajectory analysis. If the capture was performed using Mobile Mapping System (MMS), explain how to use the Timestamp and the sensor trajectory to identify points that appear in a single scan pass but disappear on the return trajectory. It proposes the use of algorithms based on Machine Learning, such as Random Forest or Convolutional Neural Networks (CNN) applied to 2D projections of the cloud, to automatically classify points into the 'Dynamic Objects' category according to the ASPRS LAS standard. Finally, it describes the method of reconstruction or interpolation of the 'shadow' areas or data gaps resulting from the cleaning of obstacles. Suggest interpolation techniques [Interpolation_Method: Kriging/IDW/Delaunay Triangulation] that ensure surface continuity without introducing artificial biases. The final result should be a technical report that breaks down the recommended filtering parameters, the percentage of points removed, and the projected improvement in the Root Mean Square Error (RMSE) of the final surface for export in [Output_Format: .LAS/.LAZ/.E57] format. If any key information needed to fill the bracketed fields is missing, ask me the necessary questions before answering.
He acts as a certified Surveyor with extensive experience in the preparation of judicial and administrative technical reports for the Property Registry and the Cadastre. Your objective is to write an exhaustive expert opinion on the property called [Name of Property/Property], located in [Exact Location], identified with the cadastral reference [Reference Number]. The report must begin with a formal heading that includes the identification of the expert, the purpose of the opinion and the methodology used in the field survey. It details the use of high-precision instruments, such as total stations or GNSS systems with RTK technology, specifying the maximum allowed errors and the reference coordinate system [Coordinate System, e.g. ETRS89]. It is essential that you describe the process of measuring the vertices that define the current perimeter of the property, ensuring the traceability of the captured points. Next, it develops a technical body where the data obtained in the actual measurement is contrasted against the information contained in the administration database. You must focus the argument on the identification of inconsistencies in the geometry of the plot, mentioning the existence of stable physical elements such as stone walls, old fences or natural landmarks that demonstrate historical ownership and the delimitation of surfaces. Avoid pre-established phrases and focus on the metric veracity of the current survey versus obsolete cartographies. It proceeds to make a detailed comparison of dimensions, analyzing the numerical differences between physical reality and legal reality. It technically describes the configuration of the dividing lines with the neighboring properties, mentioning names of owners if known [Names of Neighbors], and evaluating whether there is overlap or simply an error in the cartographic displacement. The tone must be strictly professional, objective and based on verifiable empirical evidence, using terminology appropriate for lawyers and technicians. Finally, the opinion concludes with a summary of the technical findings. It provides a clear recommendation for correcting errors in the property title, facilitating the agreement between the map drawn up and the registration in the public books. It includes an oath or promise clause to tell the truth, in accordance with the current legal regulations of [Country/Region], and a section for the list of photographic and planimetric annexes that accompany the main document. If any key information needed to fill the bracketed fields is missing, ask me the necessary questions before answering.
Includes 5 collections
Includes 4 collections
It's a master instruction, optimized for AI.
Prompt
your instruction
AI
Result
JUSTIFICATION MEMO — cadastre-registry coordination 1. Discrepancy found · Registered area vs. georeferenced survey: +3.2% 2. Technical basis · GNSS RTK survey · official reference system · Boundary match with adjoining properties 3. Conclusion · Area rectification warranted · no encroachment on third parties
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Based on 12 reviews
It does the job, though I expected a bit more. I had to tweak them quite a bit for my case. Works if you customize it.
Delivers what it promises. The prompts are useful and practical. Good option.
Exceeded my expectations. The index is organized and I find what I need instantly. One hundred percent recommended.
It does the job, though I expected a bit more. I had to tweak them quite a bit for my case. Acceptable.
Exactly what I was looking for. They're easy to adapt to my case by just changing the fields. Totally recommend them.
Best purchase I made this month. The prompts are really well thought out and the effort shows. One hundred percent recommended.
Best purchase I made this month. They saved me hours of work in the first week. One hundred percent recommended.
Exceeded my expectations. The index is organized and I find what I need instantly. Totally recommend them.
Best purchase I made this month. The index is organized and I find what I need instantly. One hundred percent recommended.
Worth every penny. They work just as well in ChatGPT and Claude. I'll buy again without hesitation.
Exactly what I was looking for. The quality of the answers I get improved a lot. Totally recommend them.
It does the job, though I expected a bit more. Some prompts are great and others more generic. Acceptable.