1. A method for identifying sustainable geographical areas comprising: obtaining remote sensing data for a geographical area; processing the remote sensing data to extract environmental variables; calculating a sustainability index based on the extracted environmental variables; and identifying areas of the geographical area that meet a predetermined sustainability threshold based on the calculated sustainability index.

2. The method of claim 1, wherein the remote sensing data comprises a multispectral imagery.

3. The method of claim 1, wherein the environmental variables include land use, vegetation cover, soil moisture, and temperature.

4. The method of claim 1, wherein the sustainability index is calculated based on a weighted average of the environmental variables.

5. The method of claim 1, wherein the predetermined sustainability threshold is determined based on expert knowledge, stakeholder input, or a combination thereof.

6. The method of claim 1, further comprising generating a map of the identified sustainable areas.

7. The method of claim 1, further comprising providing recommendations for sustainable land use practices based on the identified sustainable areas.

8. A system for identifying sustainable geographical areas comprising: a remote sensing device configured to obtain remote sensing data for a geographical area; a processor configured to process the remote sensing data to extract environmental variables and calculate a sustainability index based on the extracted environmental variables; and\ a memory device configured to store the sustainability threshold and the identified sustainable areas.

9. The system of claim 8, further comprising a user interface configured to display the identified sustainable areas and provide recommendations for sustainable land use practices.   REMOTE SENSING TECHNIQUE FOR IDENTIFYING SUSTAINABLE GEOGRAPHICAL AREAS Abstract The present disclosure relates to identification of sustainable geographical regions. The method may include; collecting remote sensing data for a geographical area; analysing the remote sensing data in order to extract environmental variables is another possible step included in embodiments; calculating a sustainability index by basing it on the environmental variables that were taken from the environment is another possible aspect of embodiments; identifying areas of the geographical area that satisfy a specified sustainability threshold based on the computed sustainability index. Fig. 1 , Claims:Claims :

1. A method for identifying sustainable geographical areas comprising: obtaining remote sensing data for a geographical area; processing the remote sensing data to extract environmental variables; calculating a sustainability index based on the extracted environmental variables; and identifying areas of the geographical area that meet a predetermined sustainability threshold based on the calculated sustainability index.

2. The method of claim 1, wherein the remote sensing data comprises a multispectral imagery.

3. The method of claim 1, wherein the environmental variables include land use, vegetation cover, soil moisture, and temperature.

4. The method of claim 1, wherein the sustainability index is calculated based on a weighted average of the environmental variables.

5. The method of claim 1, wherein the predetermined sustainability threshold is determined based on expert knowledge, stakeholder input, or a combination thereof.

6. The method of claim 1, further comprising generating a map of the identified sustainable areas.

7. The method of claim 1, further comprising providing recommendations for sustainable land use practices based on the identified sustainable areas.

8. A system for identifying sustainable geographical areas comprising: a remote sensing device configured to obtain remote sensing data for a geographical area; a processor configured to process the remote sensing data to extract environmental variables and calculate a sustainability index based on the extracted environmental variables; and\ a memory device configured to store the sustainability threshold and the identified sustainable areas.

9. The system of claim 8, further comprising a user interface configured to display the identified sustainable areas and provide recommendations for sustainable land use practices.

Description:REMOTE SENSING TECHNIQUE FOR IDENTIFYING SUSTAINABLE GEOGRAPHICAL AREAS
Field of the Invention
[0001] The present invention relates generally to identification of sustainable geographical areas. More specifically to system and method to utilize remote sensing for identification of the areas.

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] The rapid pace of urbanization and industrialization has resulted in significant environmental degradation and land use changes, leading to the loss of biodiversity and ecosystem services. Therefore, it is crucial to identify and protect areas that are ecologically sustainable for the long-term health of our planet. Remote sensing technology has been widely used for environmental monitoring and land use management, but its potential for identifying sustainable geographical areas has not been fully explored.
[0004] The development of a remote sensing technique for identifying sustainable geographical areas has significant implications for sustainable land use management and conservation efforts.
[0005] Various technological solutions for identifying sustainable geographical areas are disclosed in patent literature.
[0006] The CN114491494A (By: FUJIAN TUYU LIAOYUAN INFORMATION TECHNOLOGY) - The invention relates to a geographic information decision-making method and system based on AI remote sensing monitoring and a storage medium, relates to the field of geographic information data processing, and solves the problem that outsiders can also freely log in geographic information decision-making software based on AI remote sensing monitoring and use the geographic information decision-making software at will. The method comprises the following steps: forming a correct login password based on a mobile phone number of a user matched with an account of a geographic information decision platform monitored by AI remote sensing, a date of the day, a login time period and a randomly sent digital verification code; a login password input by a user and an information display mode which the user tends to present are obtained, the login password input by the user is compared with a correct login password, the information display mode comprises a static display mode and a dynamic display mode, the static display mode corresponds to a number 1, and the dynamic display mode corresponds to a number 2. According to the invention, the data security of the software platform is effectively improved, and outsiders are prevented from logging in and using.
[0007] The CN216468478U (By: ZHOU SHUTING) - The utility model discloses a geographic information remote sensing surveying and mapping device, and relates to the technical field of geographic information surveying and mapping devices, the geographic information remote sensing surveying and mapping device comprises an unmanned aerial vehicle body, the bottom of the unmanned aerial vehicle body is fixedly connected with an inclined supporting rod, and the bottom of the inclined supporting rod is provided with a buffer assembly. The end part of the buffer assembly is movably connected with a roller, the surface of the buffer assembly is fixedly connected with a connecting seat, the surface of a fixed shaft fixedly connected with the inner wall of the connecting seat is movably sleeved with a rotating rod, the surface of the rotating rod is movably connected with the surface of the roller, and the surface of the rotating rod is fixedly connected with a supporting leg. According to the remote sensing surveying and mapping unmanned aerial vehicle, the buffering assemblies, the rolling wheels, the rotating rods and the supporting legs are arranged, so that the problem that in the prior art, when a common remote sensing surveying and mapping unmanned aerial vehicle for geographic information is used, impact force generated when the remote sensing surveying and mapping unmanned aerial vehicle lands directly acts on the remote sensing surveying and mapping unmanned aerial vehicle, and the remote sensing surveying and mapping unmanned aerial vehicle is prone to being damaged after being used for a long time is solved.
[0008] The CN218068295U (By: SHANDONG HUIYU AVIATION REMOTE SENSING TECHNOLOGY) - The utility model discloses a geographic information remote sensing detection device, including the mobile jib, the top of mobile jib is fixed and is provided with the anemoscope, the data transceiver is installed to the below of anemoscope, the fixed solar panel that is provided with on the mobile jib, the solar panel below is provided with the battery, the carbon dioxide detector, smoke alarm and temperature and humidity meter are installed in proper order to the battery below, the mobile jib lower part fixed mounting has the signboard, the controller is fixed below the signboard on the mobile jib, the controller is all electrically connected with data transceiver, battery, carbon dioxide detector, smoke alarm, temperature and humidity meter; a plurality of anchor rods are fixedly arranged on the periphery of the main rod on the ground, the top ends of the anchor rods are connected with steel wire ropes, and the other ends of the steel wire ropes are fixedly connected to the main rod; through the setting of stock and wire rope, solved the fixed problem under the soft condition of soil and realized the detachability of fixed mode again, promoted the portability of device, be convenient for dismantle and the transportation.
[0009] The proposed research project will contribute to the development of sustainable land use practices and policies and provide a framework for future research in this field.
[00010] All references, including publications, patent applications, and patents, cited herein are hereby incorporated by reference to the same extent as if each reference were individually and specifically indicated to be incorporated by reference and were set forth in its entirety herein.
Summary
[00011] Various objects, features, and advantages of the disclosed subject matter can be more fully appreciated with reference to the following detailed description of the disclosed subject matter when considered in connection with the following drawings, in which like reference numerals identify like elements.
[00012] The following paragraphs provide additional support for the claims of the subject application.
[00013] The present invention relates generally to identification of sustainable geographical areas. More specifically to system and method to utilize remote sensing for identification of the areas.
[00014] Embodiments of the present disclosure may include a method for identifying sustainable geographical areas including obtaining remote sensing data for a geographical area. Embodiments may also include processing the remote sensing data to extract environmental variables. Embodiments may also include calculating a sustainability index based on the extracted environmental variables. Embodiments may also include identifying areas of the geographical area that meet a predetermined sustainability threshold based on the calculated sustainability index.
[00015] In some embodiments, the remote sensing data may include multispectral imagery. In some embodiments, the environmental variables include land use, vegetation cover, soil moisture, and temperature. In some embodiments, the sustainability index may be calculated based on a weighted average of the environmental variables.
[00016] In some embodiments, the predetermined sustainability threshold may be determined based on expert knowledge, stakeholder input, or a combination thereof. In some embodiments, the method may include generating a map of the identified sustainable areas. In some embodiments, the method may include providing recommendations for sustainable land use practices based on the identified sustainable areas.
[00017] Embodiments of the present disclosure may also include a system for identifying sustainable geographical areas including a remote sensing device configured to obtain remote sensing data for a geographical area. Embodiments may also include a processor configured to process the remote sensing data to extract environmental variables and calculate a sustainability index based on the extracted environmental variables. Embodiments may also include a memory device configured to store the sustainability threshold and the identified sustainable areas. In some embodiments, the system may include a user interface configured to display the identified sustainable areas and provide recommendations for sustainable land use practices.

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 flowchart illustrating a method for identifying sustainable geographical areas, according to some embodiments of the present disclosure.
[00020] FIG. 2 is a block diagram illustrating a system for identifying sustainable geographical areas, according to some embodiments of the present disclosure.
Detailed Description
[00021] The following is a detailed description of exemplary embodiments to illustrate the principles of the invention. The embodiments are provided to illustrate aspects of the invention, but the invention is not limited to any embodiment. The scope of the invention encompasses numerous alternatives, modifications and equivalent; it is limited only by the claims.
[00022] In view of the many possible embodiments to which the principles of the present discussion may be applied, it should be recognized that the embodiments described herein with respect to the drawing figures are meant to be illustrative only and should not be taken as limiting the scope of the claims. Therefore, the techniques as described herein contemplate all such embodiments as may come within the scope of the following claims and equivalents thereof.
[00023] Following are more detailed descriptions of various concepts related to, and implementations of, methods, apparatuses, and systems of present disclosure. The various concepts introduced above and discussed in greater detail below may be implemented in any of numerous ways.
[00024] The detailed description is described with reference to the accompanying figures. In the figures, the left-most digit(s) of a reference number identifies the figure in which the reference number first appears. The use of the same reference numbers in different instances in the description and the figures may indicate similar or identical items.
[00025] The present invention relates generally to identification of sustainable geographical areas. More specifically to system and method to utilize remote sensing for identification of the areas.
[00026] FIG. 1 is a flowchart that describes a method for identifying sustainable geographical areas, according to some embodiments of the present disclosure. In some embodiments, at 110, the method may include obtaining remote sensing data for a geographical area. At 120, the method may include processing the remote sensing data to extract environmental variables. At 130, the method may include calculating a sustainability index based on the extracted environmental variables. At 140, the method may include identifying areas of the geographical area that meet a predetermined sustainability threshold based on the calculated sustainability index.
[00027] In some embodiments, the remote sensing data may comprise multispectral imagery. In some embodiments, the environmental variables may include land use, vegetation cover, soil moisture, and temperature. In some embodiments, the sustainability index may be calculated based on a weighted average of the environmental variables. In some embodiments, the predetermined sustainability threshold may be determined based on expert knowledge, stakeholder input, or a combination thereof. In some embodiments, the method may include generating a map of the identified sustainable areas. In some embodiments, the method may include providing recommendations for sustainable land use practices based on the identified sustainable areas.
[00028] FIG. 2 is a block diagram that describes a system 200 for identifying sustainable geographical areas, according to some embodiments of the present disclosure. In some embodiments, the system 200 may include a remote sensing device 210 configured to obtain remote sensing data for a geographical area, a processor 220 configured to process the remote sensing data to extract environmental variables and calculate a sustainability index based on the extracted environmental variables, and a memory device 230 configured to store the sustainability threshold and the identified sustainable areas. In some embodiments, the system 200 may include a user interface configured to display the identified sustainable areas and provide recommendations for sustainable land use practices.
[00029] A method for identifying sustainable geographical regions may be included as an embodiment of the present disclosure. This method may comprise gathering remote sensing data for a geographical area as one of its steps. Processing the data collected by remote sensing device 210 in order to extract environmental variables is another possible aspect of embodiments. In certain embodiments, there is also the possibility of computing a sustainability index based on the environmental variables that have been retrieved. Identifying parts of the geographical region that fulfil a pre-set sustainability threshold based on the computed sustainability index is another possible aspect of embodiments.
[00030] The data obtained from remote sensing device 210 may contain multispectral imaging in some implementations. Land usage, the kind of plants covering the land, the amount of moisture in the soil, and the temperature are all examples of environmental factors. A weighted average of the environmental factors may be used as the basis for the calculation of the sustainability index in certain implementations.
[00031] In some implementations, the pre-set sustainability threshold may be established based on the professional knowledge of a subject matter specialist, the input of relevant stakeholders, or a mix of the two. In certain implementations of the process, one of the steps may include creating a map of the sustainable regions that have been discovered. The technique may, in certain implementations, involve making suggestions for environmentally responsible land management procedures on the basis of the sustainable areas that have been identified.
[00032] The current disclosure may also include embodiments of a system for identifying sustainable geographical regions, which may comprise the remote sensing device 210 designed to gather remote sensing data for a geographical area. This system may also be included in embodiments of the present disclosure. The processor 220 that is capable of processing the remote sensing data to extract environmental factors and produce a sustainability index based on those environmental variables may also be included in embodiments. The memory device 230 that is capable of storing both the sustainability threshold as well as the identified sustainable regions may also be included in embodiments. A user interface that is capable of displaying the identified sustainable areas and providing suggestions for sustainable land use practises may be included in the system in certain implementations of the system.
[00033] Variations of those preferred embodiments may become apparent to those of ordinary skill in the art upon reading the foregoing description. The inventors expect skilled artisans to employ such variations as appropriate, and the inventors intend for the invention to be practiced otherwise than as specifically described herein. Accordingly, this invention includes all modifications and equivalents of the subject matter recited in the claims appended hereto as permitted by applicable law. Moreover, any combination of the above-described elements in all possible variations thereof is encompassed by the invention unless otherwise indicated herein or otherwise clearly contradicted by context.
[00034] As used herein, the term “wireless communication network” or “network interface” refers to a network following any suitable wireless communication standards, such as LTE-Advanced (LTE-A), LTE, Wideband Code Division Multiple Access (WCDMA), High-Speed Packet Access (HSPA), and so on. Furthermore, the communications between network devices in the wireless communication network may be performed according to any suitable generation communication protocols, including, but not limited to, the first generation (1G), the second generation (2G), 2.5G, 2.75G, the third generation (3G), the fourth generation (4G), 4.5G, the fifth generation (5G) communication protocols, and/or any other protocols either currently known or to be developed in the future.
[00035] As used herein, the term “network device” refers to a device in a wireless communication network via which a terminal device accesses the network and receives services therefrom. The network device may refer to a base station (BS) or an access point (AP), for example, a node B (NodeB or NB), an evolved NodeB (eNodeB or eNB), a Remote Radio Unit (RRU), a radio header (RH), a remote radio head (RRH), a relay, a low power node such as a femto, a pico, and so forth, depending on the applied terminology and technology. The “network device” or “terminal device” or “computing device” may represent any suitable device (or group of devices) capable, configured, arranged, and/or operable to enable and/or provide a terminal device access to the wireless communication network or to provide some service to a terminal device that has accessed the wireless communication network. The terminal device may include, but not limited to, a mobile phone, a cellular phone, a smart phone, a tablet, a wearable device, a personal digital assistant (PDA), portable computers, image capture terminal devices such as digital cameras, gaming terminal devices, music storage and playback appliances, wearable terminal devices, vehicle-mounted wireless terminal devices and the like. In the following description, the terms “terminal device”, “terminal”, “user equipment”, “computing device”, “network device” and “UE” may be used interchangeably.
[00036] Processing device may be provided by one or more processors such as 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).
[00037] In addition, the present disclosure may also provide a memory containing the computer program as mentioned above, which includes machine-readable media and machine-readable transmission media. The machine-readable media may also be called computer-readable media, and may include machine-readable storage media, for example, magnetic disks, magnetic tape, optical disks, phase change memory, or an electronic memory terminal device like a random access memory (RAM), read only memory (ROM), flash memory devices, CD-ROM, DVD, Blue-ray disc and the like. The machine-readable transmission media may also be called a carrier, and may include, for example, electrical, optical, radio, acoustical or other form of propagated signals—such as carrier waves, infrared signals, and the like.
[00038] Further, while operations are depicted in a particular order, this should not be understood as requiring that such operations be performed in the particular order shown or in sequential order, or that all illustrated operations be performed, to achieve desirable results. In certain circumstances, multitasking and parallel processing may be advantageous. Likewise, while several specific implementation details are contained in the above discussions, these should not be construed as limitations on the scope of the subject matter described herein, but rather as descriptions of features that may be specific to particular embodiments. Certain features that are described in this specification in the context of separate embodiments can also be implemented in combination in a single embodiment. Conversely, various features that are described in the context of a single embodiment can also be implemented in multiple embodiments separately or in any suitable sub-combination. Moreover, although features may be described above as acting in certain combinations and even initially claimed as such, one or more features from a claimed combination can in some cases be excised from the combination, and the claimed combination may be directed to a sub-combination or variation of a sub-combination.
[00039] All references to “a/an/the element, apparatus, component, means, step, etc.” are to be interpreted as referring to at least one instance of the element, apparatus, component, means, step, etc., unless explicitly stated otherwise. The steps of any method disclosed herein do not have to be performed in the exact order disclosed, unless explicitly stated. The discussion above and below in respect of any of the aspects of the present disclosure is also in applicable parts relevant to any other aspect of the present disclosure.
[00040] The wordings such as “include”, “including”, “comprise” and “comprising” do not exclude elements or steps which are present but not listed in the description and the claims.
[00041] It also shall be noted that as used herein and in the appended claims, the singular forms “a”, “an”, and “the” include plural referents unless the context clearly dictates otherwise. This invention can be achieved by means of hardware including several different elements or by means of a suitably programmed computer. In the unit claims that list several means, several ones among these means can be specifically embodied in the same hardware item. The use of such words as first, second, third does not represent any order, which can be simply explained as names.
[00042] Various techniques may be described herein in the general context of software, hardware elements, or program modules. Generally, such modules include routines, programs, objects, elements, components, data structures, and so forth that perform particular tasks or implement particular abstract data types. The terms “module,” “functionality,” and “component” as used herein generally represent software, firmware, hardware, or a combination thereof. The features of the techniques described herein are platform-independent, meaning that the techniques may be implemented on a variety of commercial computing platforms having a variety of processors
 

Claims
I/We Claim:
1. A method for identifying sustainable geographical areas comprising:
obtaining remote sensing data for a geographical area; processing the remote sensing data to extract environmental variables;
calculating a sustainability index based on the extracted environmental variables; and
identifying areas of the geographical area that meet a predetermined sustainability threshold based on the calculated sustainability index.
2. The method of claim 1, wherein the remote sensing data comprises a multispectral imagery.
3. The method of claim 1, wherein the environmental variables include land use, vegetation cover, soil moisture, and temperature.
4. The method of claim 1, wherein the sustainability index is calculated based on a weighted average of the environmental variables.
5. The method of claim 1, wherein the predetermined sustainability threshold is determined based on expert knowledge, stakeholder input, or a combination thereof.
6. The method of claim 1, further comprising generating a map of the identified sustainable areas.
7. The method of claim 1, further comprising providing recommendations for sustainable land use practices based on the identified sustainable areas.
8. A system for identifying sustainable geographical areas comprising:
a remote sensing device configured to obtain remote sensing data for a geographical area;
a processor configured to process the remote sensing data to extract environmental variables and calculate a sustainability index based on the extracted environmental variables; and\
a memory device configured to store the sustainability threshold and the identified sustainable areas.
9. The system of claim 8, further comprising a user interface configured to display the identified sustainable areas and provide recommendations for sustainable land use practices.
 

REMOTE SENSING TECHNIQUE FOR IDENTIFYING SUSTAINABLE GEOGRAPHICAL AREAS
Abstract
The present disclosure relates to identification of sustainable geographical regions. The method may include; collecting remote sensing data for a geographical area; analysing the remote sensing data in order to extract environmental variables is another possible step included in embodiments; calculating a sustainability index by basing it on the environmental variables that were taken from the environment is another possible aspect of embodiments; identifying areas of the geographical area that satisfy a specified sustainability threshold based on the computed sustainability index.

Fig. 1
, Claims:Claims
I/We Claim:
1. A method for identifying sustainable geographical areas comprising:
obtaining remote sensing data for a geographical area; processing the remote sensing data to extract environmental variables;
calculating a sustainability index based on the extracted environmental variables; and
identifying areas of the geographical area that meet a predetermined sustainability threshold based on the calculated sustainability index.
2. The method of claim 1, wherein the remote sensing data comprises a multispectral imagery.
3. The method of claim 1, wherein the environmental variables include land use, vegetation cover, soil moisture, and temperature.
4. The method of claim 1, wherein the sustainability index is calculated based on a weighted average of the environmental variables.
5. The method of claim 1, wherein the predetermined sustainability threshold is determined based on expert knowledge, stakeholder input, or a combination thereof.
6. The method of claim 1, further comprising generating a map of the identified sustainable areas.
7. The method of claim 1, further comprising providing recommendations for sustainable land use practices based on the identified sustainable areas.
8. A system for identifying sustainable geographical areas comprising:
a remote sensing device configured to obtain remote sensing data for a geographical area;
a processor configured to process the remote sensing data to extract environmental variables and calculate a sustainability index based on the extracted environmental variables; and\
a memory device configured to store the sustainability threshold and the identified sustainable areas.
9. The system of claim 8, further comprising a user interface configured to display the identified sustainable areas and provide recommendations for sustainable land use practices.