1. A system for utilizing geographic information system (GIS) and remote sensing techniques for archaeological surveys, comprising: a data acquisition module for collecting remote sensing data and geospatial information; a data processing module for integrating, analyzing, and processing the acquired data; and a visualization module for displaying the processed data in a GIS environment, thereby facilitating archaeological surveys.

2. The system of claim 1, wherein said data acquisition module obtains remote sensing data from various sources, including but not limited to, satellite imagery, aerial photography, and LiDAR.

3. The system of claim 1, wherein said data processing module employs machine learning algorithms and artificial intelligence techniques to identify potential archaeological sites, artifacts, and features within the collected data.

4. The system of claim 1, wherein said visualization module displays the processed data as layers within the GIS environment, allowing users to overlay and combine different types of data for analysis.

5. The system of claim 1, further comprising a user interface, enabling users to interact with the GIS environment, manipulate data layers, and perform spatial analyses.

6. The system of claim 1, further comprising a field data collection module, allowing users to capture and integrate field observations and measurements with remote sensing data within the GIS environment.

7. The system of claim 1, wherein said data processing module generates predictive models for archaeological site locations based on the analysis of remote sensing and geospatial data.

8. A method for utilizing geographic information system (GIS) and remote sensing techniques for archaeological surveys, comprising: collecting remote sensing data and geospatial information using a data acquisition module; integrating, analyzing, and processing the acquired data using a data processing module; and displaying the processed data in a GIS environment using a visualization module.

9. The method of claim 8, further comprising generating predictive models for archaeological site locations based on the analysis of remote sensing and geospatial data using the data processing module.

10. The method of claim 8, further comprising storing and managing acquired data, processed results, and generated models using a data storage module. GIS AND REMOTE SENSING IN ARCHAEOLOGICAL SURVEYS Abstract The present disclosure relates to a system that conducts archaeological surveys by using geographic information system (GIS) and remote sensing methodologies. A data collection module that may be used to collect geographical information and data gathered through remote sensing might also be included in this system. In certain implementations, there is also a data processing module that may be used to integrate, analyse, and process the data that has been acquired. This module is included in some implementations. It's feasible that some embodiments may contain a visualisation module that will exhibit the processed data in a GIS context. This is something that's possible but not guaranteed. Archaeological surveys will be less difficult to carry out as a result of this. , Claims:Claims :

1. A system for utilizing geographic information system (GIS) and remote sensing techniques for archaeological surveys, comprising: a data acquisition module for collecting remote sensing data and geospatial information; a data processing module for integrating, analyzing, and processing the acquired data; and a visualization module for displaying the processed data in a GIS environment, thereby facilitating archaeological surveys.

2. The system of claim 1, wherein said data acquisition module obtains remote sensing data from various sources, including but not limited to, satellite imagery, aerial photography, and LiDAR.

3. The system of claim 1, wherein said data processing module employs machine learning algorithms and artificial intelligence techniques to identify potential archaeological sites, artifacts, and features within the collected data.

4. The system of claim 1, wherein said visualization module displays the processed data as layers within the GIS environment, allowing users to overlay and combine different types of data for analysis.

5. The system of claim 1, further comprising a user interface, enabling users to interact with the GIS environment, manipulate data layers, and perform spatial analyses.

6. The system of claim 1, further comprising a field data collection module, allowing users to capture and integrate field observations and measurements with remote sensing data within the GIS environment.

7. The system of claim 1, wherein said data processing module generates predictive models for archaeological site locations based on the analysis of remote sensing and geospatial data.

8. A method for utilizing geographic information system (GIS) and remote sensing techniques for archaeological surveys, comprising: collecting remote sensing data and geospatial information using a data acquisition module; integrating, analyzing, and processing the acquired data using a data processing module; and displaying the processed data in a GIS environment using a visualization module.

9. The method of claim 8, further comprising generating predictive models for archaeological site locations based on the analysis of remote sensing and geospatial data using the data processing module.

10. The method of claim 8, further comprising storing and managing acquired data, processed results, and generated models using a data storage module.

Description:GIS AND REMOTE SENSING IN ARCHAEOLOGICAL SURVEYS
Field of the Invention
[0001] The present invention relates generally to the use of Geographic Information Systems (GIS) and remote sensing technologies to support archaeological survey and data collection. More particularly, the system and method for utilizing geographic information system (GIS) and remote sensing techniques for archaeological surveys.
Background
[0002] The background description includes information that may be useful in understanding the present invention. It is not an admission that any of the information provided herein is prior art or relevant to the presently claimed invention, or that any publication specifically or implicitly referenced is prior art.
[0003] Archaeological surveys are an essential component of archaeological research. They are used to locate and document archaeological sites and features, and to gather data that can be used to understand past human behavior, culture, and society. Surveys can be conducted using a range of different methods, from traditional ground survey to advanced remote sensing technologies.
[0004] Ground surveys involve physically walking over an area to identify and map archaeological sites and features. This can involve looking for surface artifacts, such as pottery or stone tools, or identifying changes in the landscape, such as mounds or depressions, that may indicate the presence of buried structures. Ground surveys can be time-consuming and labor-intensive, but they provide a valuable way to gather detailed information about a specific area.
[0005] Remote sensing technologies, such as aerial photography, LiDAR, and satellite imagery, have become increasingly important tools in archaeological surveys. These technologies allow archaeologists to detect and map archaeological sites and features over large areas that may be difficult to access by traditional ground survey methods. For example, aerial photography can provide high-resolution images of the landscape that can be used to identify features such as crop marks or soil anomalies that may indicate the presence of buried archaeological structures.
[0006] Another important aspect of archaeological surveys is the use of Geographic Information Systems (GIS) technology. GIS allows archaeologists to integrate and analyze different data sources, such as topographic data, satellite imagery, and archaeological data, to create maps and models that provide a more comprehensive view of the archaeological landscape. This can help archaeologists to identify patterns and relationships between different sites and features and to understand the environmental context in which they were situated.
[0007] Overall, archaeological surveys are a critical component of archaeological research. They provide valuable information about past human behavior and culture and help archaeologists to locate and document archaeological sites and features. The use of advanced technologies such as remote sensing and GIS has revolutionized the way that archaeologists approach survey and data collection, allowing for a more comprehensive understanding of the archaeological landscape.
[0008] While remote sensing and GIS technologies have revolutionized archaeological surveys, there are still some limitations that need to be considered. These include environmental limitations, cost and technical expertise requirements, and limitations in resolution and accuracy of the data obtained. Thus, a further development in this area of technology is required.

Summary
[0009] The present invention relates generally to the use of Geographic Information Systems (GIS) and remote sensing technologies to support archaeological survey and data collection. More particularly, the system and method for utilizing geographic information system (GIS) and remote sensing techniques for archaeological surveys.
[00010] The following presents a simplified summary of various aspects of this disclosure in order to provide a basic understanding of such aspects. This summary is not an extensive overview of all contemplated aspects, and is intended to neither identify key or critical elements nor delineate the scope of such aspects. Its purpose is to present some concepts of this disclosure in a simplified form as a prelude to the more detailed description that is presented later.
[00011] The following paragraphs provide additional support for the claims of the subject application.
[00012] Embodiments of the present disclosure may include a system for utilizing geographic information system (GIS)and remote sensing techniques for archaeological surveys, including a data acquisition module for collecting remote sensing data and geospatial information. Embodiments may also include a data processing module for integrating, analyzing, and processing the acquired data. Embodiments may also include a visualization module for displaying the processed data in a GIS environment, thereby facilitating archaeological surveys.
[00013] In some embodiments, the data acquisition module obtains remote sensing data from various sources, including but not limited to, satellite imagery, aerial photography, and LiDAR. In some embodiments, the data processing module employs machine learning algorithms and artificial intelligence techniques to identify potential archaeological sites, artifacts, and features within the collected data.
[00014] In some embodiments, the visualization module displays the processed data as layers within the GIS environment, allowing users to overlay and combine different types of data for analysis. In some embodiments, the system may include a user interface, enabling users to interact with the GIS environment, manipulate data layers, and perform spatial analyses.
[00015] In some embodiments, the system may include a field data collection module, allowing users to capture and integrate field observations and measurements with remote sensing data within the GIS environment. In some embodiments, the data processing module generates predictive models for archaeological site locations based on the analysis of remote sensing and geospatial data.
[00016] Embodiments of the present disclosure may also include a method for utilizing geographic information system (GIS) and remote sensing techniques for archaeological surveys, including collecting remote sensing data and geospatial information using a data acquisition module. Embodiments may also include integrating, analyzing, and processing the acquired data using a data processing module.
[00017] In some embodiments, the method may include generating predictive models for archaeological site locations based on the analysis of remote sensing and geospatial data using the data processing module. In some embodiments, the method may include storing and managing acquired data, processed results, and generated models using a data storage module.
Brief Description of the Drawings
[00018] The features and advantages of the present disclosure would be more clearly understood from the following description taken in conjunction with the accompanying drawings in which:
[00019] FIG. 1 is a block diagram illustrating a system for utilizing geographic information system (GIS) and remote sensing techniques for archaeological surveys, according to some embodiments of the present disclosure.
[00020] FIG. 2 is a flowchart illustrating a method for utilizing geographic information system (GIS) and remote sensing techniques for archaeological surveys, according to some embodiments of the present disclosure.
Detailed Description
[00021] In the following detailed description of the invention, reference is made to the accompanying drawings that form a part hereof, and in which is shown, by way of illustration, specific embodiments in which the invention may be practiced. In the drawings, like numerals describe substantially similar components throughout the several views. These embodiments are described in sufficient detail to claim those skilled in the art to practice the invention. Other embodiments may be utilized and structural, logical, and electrical changes may be made without departing from the scope of the present invention. The following detailed description is, therefore, not to be taken in a limiting sense, and the scope of the present invention is defined only by the appended claims and equivalents thereof.
[00022] The use of the terms “a” and “an” and “the” and “at least one” and similar referents in the context of describing the invention (especially in the context of the following claims) are to be construed to cover both the singular and the plural, unless otherwise indicated herein or clearly contradicted by context. The use of the term “at least one” followed by a list of one or more items (for example, “at least one of A and B”) is to be construed to mean one item selected from the listed items (A or B) or any combination of two or more of the listed items (A and B), unless otherwise indicated herein or clearly contradicted by context. The terms “comprising,” “having,” “including,” and “containing” are to be construed as open-ended terms (i.e., meaning “including, but not limited to,”) unless otherwise noted. Recitation of ranges of values herein are merely intended to serve as a shorthand method of referring individually to each separate value falling within the range, unless otherwise indicated herein, and each separate value is incorporated into the specification as if it were individually recited herein. All methods described herein can be performed in any suitable order unless otherwise indicated herein or otherwise clearly contradicted by context. The use of any and all examples, or exemplary language (e.g., “such as”) provided herein, is intended merely to better illuminate the invention and does not pose a limitation on the scope of the invention unless otherwise claimed. No language in the specification should be construed as indicating any non-claimed element as essential to the practice of the invention.
[00023] The present invention relates generally to the use of Geographic Information Systems (GIS) and remote sensing technologies to support archaeological survey and data collection. More particularly, the system and method for utilizing geographic information system (GIS) and remote sensing techniques for archaeological surveys.
[00024] The image that is given in figure 1 is a block diagram that illustrates a system 100 (for utilizing geographic information system (GIS) and remote sensing techniques for archaeological surveys) in line with specific implementations of the present disclosure. In some implementations of the system 100, a data gathering module 110 may be included into the structure. The acquisition of geographical data and information gleaned through remote sensing is the major purpose of the data gathering module 110. Another component that may be included into the system 100 is a data processing module 120, which has the capacity to integrate, analyse, and process the information that has been obtained. It's possible that the system 100 will also come equipped with a visualisation module 130 so that it may simplify the process of conducting archaeological surveys. Displaying the processed data on a graphical information system would be the responsibility of the visualisation module 130.
[00025] In certain implementations, the data collecting module 110 is designed to be capable of receiving remote sensing data from a wide range of sources. The list does not include every possible example; for instance, satellite pictures, aerial photography, and LiDAR scans are only few of them. The data processing module 120 may, in certain implementations, make use of machine learning algorithms and other methods of artificial intelligence in order to identify potentially important archaeological sites, objects, and characteristics that are hidden within the data that was gathered. This is done in order to recognise potentially important archaeological sites, objects, and characteristics hidden within the data.
[00026] Within the context of the geographic information system (GIS), the data that has been processed may, in certain implementations, be seen being shown by the visualisation module 130 in the form of layers. Users are given the opportunity to combine and overlay many types of data for the goal of conducting analysis as a result of this. The system 100 may, in certain implementations, further feature a user interface that allows users to interact with the GIS environment, modify data layers, and carry out geographic analysis. This functionality may be found in some implementations of the system. Its feature is discussed in further depth in the following paragraphs. Users will have the ability to record field observations and measurements within the GIS environment, as well as integrate those with data from remote sensing, if the system 100 includes a field data collection module in certain implementations. The data processing module 120 of certain implementations is able to produce prediction models for the locations of archaeological sites based on the study of data collected from remote sensing and geospatial sources.
[00027] Figure 2 illustrates a flowchart that describes a method for utilising a geographic information system, and this method (for utilizing geographic information system (GIS) and remote sensing techniques for archaeological surveys) is in line with some embodiments of the current disclosure. An optional step that may be included in certain configurations of the method at 210 is the gathering of remote sensing data and geographic information using a data collection module. If the method specifies that this is to be done at step 220, then the collected data may be integrated, analysed, and processed with the help of a data processing module as part of the method. In the 230th step of the procedure, one of the available choices is to use a visualisation module to present the processed data in a GIS environment. Utilizing the data processing module, the method may, in some implementations, include the step of developing predictive models for archaeological site locations based on the analysis of remote sensing and geospatial data. These models are built on the basis of the location of archaeological sites. The data are analysed first, and then these models are constructed using that information. In certain implementations of the method, the use of a data storage module may be necessary in order to preserve and manage the acquired data, in addition to the processed results and constructed models.
[00028] A system that uses geographic information system (GIS) and remote sensing methods for archaeological surveys may be included in certain embodiments of the present disclosure. This system may also comprise a data collection module for gathering remote sensing data and geospatial information. In certain implementations, there is also a data processing module that may be used to integrate, analyse, and process the data that has been gathered. It's possible that certain embodiments may incorporate a visualisation module that will present the processed data in a GIS environment.
[00029] In certain implementations, the data collection module is responsible for gathering remote sensing data from a variety of sources, such as satellite images, aerial photography, and LiDAR, among others. In certain implementations, the data processing module makes use of machine learning algorithms and other forms of artificial intelligence technology in order to sift through the acquired data in search of possible archaeological sites, artefacts, and characteristics.
[00030] In some implementations, the visualisation module presents the processed data in the form of layers inside the GIS environment. This gives users the ability to superimpose and mix various kinds of data for the purposes of analysis. The system may, in certain implementations, contain a user interface that gives users the ability to interact with a geographic information system (GIS) environment, alter data layers, and carry out spatial analytics.
[00031] A field data collection module may be included in some implementations of the system. This module enables users to record and combine field observations and measurements with remote sensing data within the context of a geographic information system (GIS). The data processing module, in certain implementations, is responsible for producing prediction models for the locations of archaeological sites based on the analysis of data obtained from remote sensing and geospatial sources.
[00032] The present disclosure may also include a method for using geographic information system (GIS) and remote sensing techniques for archaeological surveys. This method may include collecting remote sensing data and geospatial information using a data acquisition module. A data processing module may also be used in certain embodiments in order to integrate, analyse, and process the data that has been gathered. In certain embodiments, the processed data may also be shown in a graphical information system (GIS) environment utilising a visualisation module.
[00033] Using the data processing module, the technique may, in certain implementations, comprise the step of building predictive models for archaeological site locations based on the analysis of remote sensing and geospatial data. These models are generated on the basis of the analysis of the data. Using a data storage module may be required in some implementations of the approach in order to save and manage the gathered data, as well as the processed findings and created models.
[00034] The system and method described involve utilizing GIS and remote sensing techniques for archaeological surveys. The system comprises three main modules: a data acquisition module, a data processing module, and a visualization module. The data acquisition module is responsible for collecting remote sensing data and geospatial information from various sources, including but not limited to, satellite imagery, aerial photography, and LiDAR.
[00035] The collected data is then processed using the data processing module, which integrates, analyzes, and processes the acquired data. This module employs machine learning algorithms and artificial intelligence techniques to identify potential archaeological sites, artifacts, and features within the collected data. Additionally, the data processing module generates predictive models for archaeological site locations based on the analysis of remote sensing and geospatial data.
[00036] The visualization module displays the processed data as layers within the GIS environment, allowing users to overlay and combine different types of data for analysis. This module provides a user interface, enabling users to interact with the GIS environment, manipulate data layers, and perform spatial analyses. The system also includes a field data collection module, which allows users to capture and integrate field observations and measurements with remote sensing data within the GIS environment.
[00037] The method for utilizing GIS and remote sensing techniques for archaeological surveys involves three main steps. First, remote sensing data and geospatial information are collected using a data acquisition module. Second, the acquired data is integrated, analyzed, and processed using a data processing module. Finally, the processed data is displayed in a GIS environment using a visualization module. The method may also involve generating predictive models for archaeological site locations based on the analysis of remote sensing and geospatial data and storing and managing acquired data, processed results, and generated models using a data storage module.
[00038] Overall, this system and method provide a comprehensive approach to archaeological surveys, utilizing advanced technologies to gather, process, and analyze data. By integrating remote sensing data, geospatial information, and field observations, users can gain a deeper understanding of archaeological sites and make more informed decisions about future excavations and preservation efforts.
[00039] Example embodiments herein have been described above with reference to block diagrams and flowchart illustrations of methods and apparatuses. It will be understood that each block of the block diagrams and flowchart illustrations, and combinations of blocks in the block diagrams and flowchart illustrations, respectively, can be implemented by various means including hardware, software, firmware, and a combination thereof. For example, in one embodiment, each block of the block diagrams and flowchart illustrations, and combinations of blocks in the block diagrams and flowchart illustrations can be implemented by computer program instructions. These computer program instructions may be loaded onto a general purpose computer, special purpose computer, or other programmable data processing apparatus to produce a machine, such that the instructions which execute on the computer or other programmable data processing apparatus create means for implementing the functions specified in the flowchart block or blocks.
[00040] Throughout the present disclosure, the term ‘processing means’ or ‘microprocessor’ or ‘processor’ or ‘processors’ includes, but is not limited to, a general purpose processor (such as, for example, a complex instruction set computing (CISC) microprocessor, a reduced instruction set computing (RISC) microprocessor, a very long instruction word (VLIW) microprocessor, a microprocessor implementing other types of instruction sets, or a microprocessor implementing a combination of types of instruction sets) or a specialized processor (such as, for example, an application specific integrated circuit (ASIC), a field programmable gate array (FPGA), a digital signal processor (DSP), or a network processor).
[00041] The term “non-transitory storage device” or “storage” or “memory,” as used herein relates to a random access memory, read only memory and variants thereof, in which a computer can store data or software for any duration.
[00042] Operations in accordance with a variety of aspects of the disclosure is described above would not have to be performed in the precise order described. Rather, various steps can be handled in reverse order or simultaneously or not at all.
[00043] While several implementations have been described and illustrated herein, a variety of other means and/or structures for performing the function and/or obtaining the results and/or one or more of the advantages described herein may be utilized, and each of such variations and/or modifications is deemed to be within the scope of the implementations described herein. More generally, all parameters, dimensions, materials, and configurations described herein are meant to be exemplary and that the actual parameters, dimensions, materials, and/or configurations will depend upon the specific application or applications for which the teachings is/are used. Those skilled in the art will recognize, or be able to ascertain using no more than routine experimentation, many equivalents to the specific implementations described herein. It is, therefore, to be understood that the foregoing implementations are presented by way of example only and that, within the scope of the appended claims and equivalents thereto, implementations may be practiced otherwise than as specifically described and claimed. Implementations of the present disclosure are directed to each individual feature, system, article, material, kit, and/or method described herein. In addition, any combination of two or more such features, systems, articles, materials, kits, and/or methods, if such features, systems, articles, materials, kits, and/or methods are not mutually inconsistent, is included within the scope of the present disclosure.

 

Claims
I/We Claim:
1. A system for utilizing geographic information system (GIS) and remote sensing techniques for archaeological surveys, comprising: a data acquisition module for collecting remote sensing data and geospatial information; a data processing module for integrating, analyzing, and processing the acquired data; and a visualization module for displaying the processed data in a GIS environment, thereby facilitating archaeological surveys.

2. The system of claim 1, wherein said data acquisition module obtains remote sensing data from various sources, including but not limited to, satellite imagery, aerial photography, and LiDAR.

3. The system of claim 1, wherein said data processing module employs machine learning algorithms and artificial intelligence techniques to identify potential archaeological sites, artifacts, and features within the collected data.

4. The system of claim 1, wherein said visualization module displays the processed data as layers within the GIS environment, allowing users to overlay and combine different types of data for analysis.

5. The system of claim 1, further comprising a user interface, enabling users to interact with the GIS environment, manipulate data layers, and perform spatial analyses.

6. The system of claim 1, further comprising a field data collection module, allowing users to capture and integrate field observations and measurements with remote sensing data within the GIS environment.

7. The system of claim 1, wherein said data processing module generates predictive models for archaeological site locations based on the analysis of remote sensing and geospatial data.

8. A method for utilizing geographic information system (GIS) and remote sensing techniques for archaeological surveys, comprising: collecting remote sensing data and geospatial information using a data acquisition module; integrating, analyzing, and processing the acquired data using a data processing module; and displaying the processed data in a GIS environment using a visualization module.

9. The method of claim 8, further comprising generating predictive models for archaeological site locations based on the analysis of remote sensing and geospatial data using the data processing module.

10. The method of claim 8, further comprising storing and managing acquired data, processed results, and generated models using a data storage module.

GIS AND REMOTE SENSING IN ARCHAEOLOGICAL SURVEYS
Abstract
The present disclosure relates to a system that conducts archaeological surveys by using geographic information system (GIS) and remote sensing methodologies. A data collection module that may be used to collect geographical information and data gathered through remote sensing might also be included in this system. In certain implementations, there is also a data processing module that may be used to integrate, analyse, and process the data that has been acquired. This module is included in some implementations. It's feasible that some embodiments may contain a visualisation module that will exhibit the processed data in a GIS context. This is something that's possible but not guaranteed. Archaeological surveys will be less difficult to carry out as a result of this. , Claims:Claims
I/We Claim:
1. A system for utilizing geographic information system (GIS) and remote sensing techniques for archaeological surveys, comprising: a data acquisition module for collecting remote sensing data and geospatial information; a data processing module for integrating, analyzing, and processing the acquired data; and a visualization module for displaying the processed data in a GIS environment, thereby facilitating archaeological surveys.

2. The system of claim 1, wherein said data acquisition module obtains remote sensing data from various sources, including but not limited to, satellite imagery, aerial photography, and LiDAR.

3. The system of claim 1, wherein said data processing module employs machine learning algorithms and artificial intelligence techniques to identify potential archaeological sites, artifacts, and features within the collected data.

4. The system of claim 1, wherein said visualization module displays the processed data as layers within the GIS environment, allowing users to overlay and combine different types of data for analysis.

5. The system of claim 1, further comprising a user interface, enabling users to interact with the GIS environment, manipulate data layers, and perform spatial analyses.

6. The system of claim 1, further comprising a field data collection module, allowing users to capture and integrate field observations and measurements with remote sensing data within the GIS environment.

7. The system of claim 1, wherein said data processing module generates predictive models for archaeological site locations based on the analysis of remote sensing and geospatial data.

8. A method for utilizing geographic information system (GIS) and remote sensing techniques for archaeological surveys, comprising: collecting remote sensing data and geospatial information using a data acquisition module; integrating, analyzing, and processing the acquired data using a data processing module; and displaying the processed data in a GIS environment using a visualization module.

9. The method of claim 8, further comprising generating predictive models for archaeological site locations based on the analysis of remote sensing and geospatial data using the data processing module.

10. The method of claim 8, further comprising storing and managing acquired data, processed results, and generated models using a data storage module.