Remote Sensing Extraction Method, Device and Equipment for Rice Planting Information and Multiple Cropping Index

Abstract

The present invention provides a method, device and equipment for remotely sensing and extracting rice planting information and multiple cropping index. The method includes: determining a crop phenological curve and a median point corresponding to the crop phenological curve according to a remote sensing image of a planting area; determining the number of crop planting seasons according to the crop phenological curve, the median point and a target preset threshold; determining the multiple cropping index according to the number of crop planting seasons to obtain the planting information of the planting area, wherein the planting information includes the number of crop planting seasons and the multiple cropping index. By obtaining the remote sensing image of the planting area, determining the crop phenological curve and its corresponding median point, then determining the number of crop planting seasons according to the crop phenological curve, the median point and the target preset threshold, and finally determining the multiple cropping index according to the number of crop planting seasons to obtain the crop planting information including the number of crop planting seasons and the multiple cropping index, the present invention realizes the accurate acquisition of farmland planting information and multiple cropping index.

Description

Technical Field

[0001] The present invention relates to the field of remote sensing technology, and in particular to a method, device and equipment for remotely extracting rice planting information and multiple cropping index. Background Art

[0002] Rice is a major food crop in China. Rice planting information includes information such as the spatio-temporal distribution of rice and the multiple cropping index. Among them, the multiple cropping index refers to the average number of times of planting crops on the cultivated land area of the same plot within a certain period, and numerically is equal to the ratio of the total sown area of crops on the cultivated land within a year to the cultivated land area. The multiple cropping index is an indicator reflecting the degree of cultivated land utilization. Obtaining the multiple cropping index and distribution information of farmland is very important for aspects such as estimating the growth and yield of crops and farmland management. Therefore, the spatio-temporal distribution of the accurate multiple cropping index of farmland is crucial for crop yield estimation, scientific management and scientific allocation of water resources.

[0003] Currently, the method for obtaining the spatio-temporal distribution of rice farmland planting information and its multiple cropping index information is mainly manual statistics, and this method has the problems of being less objective and difficult to obtain the spatio-temporal dynamic multiple cropping index distribution information. Summary of the Invention

[0004] The present invention provides a method, device and equipment for remotely extracting rice planting information and multiple cropping index, so as to solve the technical problem that the farmland planting information and multiple cropping index obtained by the existing method are not objective and accurate enough.

[0005] The present invention provides a method for remotely extracting rice planting information and multiple cropping index, including:

[0006] Determining a crop phenological curve and a median point corresponding to the crop phenological curve according to a remote sensing image of a planting area;

[0007] Determining the number of crop planting seasons according to the crop phenological curve, the median point and a target preset threshold;

[0008] Determining the multiple cropping index according to the number of crop planting seasons, and obtaining the planting information of the planting area, wherein the planting information includes the number of crop planting seasons and the multiple cropping index.

[0009] According to the method for remotely extracting rice planting information and multiple cropping index provided by the present invention, before the step of determining a crop phenological curve and a median point corresponding to the crop phenological curve according to a remote sensing image of a planting area, it includes:

[0010] Obtaining a remote sensing image of an area to be identified, and determining a normalized difference vegetation index corresponding to each remote sensing image;

[0011] Calculating a crop recognition index according to each remote sensing image and the normalized difference vegetation index corresponding to each remote sensing image;

[0012] When the crop recognition index is greater than or equal to the first preset threshold, determine that the area to be recognized is a planting area.

[0013] According to a method for remotely sensing and extracting rice planting information and multiple cropping index provided by the present invention, the step of determining the crop phenological curve and the median point corresponding to the crop phenological curve based on the remote sensing image of the planting area includes:

[0014] Based on the remote sensing image of the planting area, determine the normalized water index and the normalized vegetation index corresponding to the planting area;

[0015] Based on the normalized water index, the normalized vegetation index, and the time series, determine the crop phenological curve and the median point corresponding to the crop phenological curve.

[0016] According to a method for remotely sensing and extracting rice planting information and multiple cropping index provided by the present invention, the step of determining the number of crop planting seasons based on the crop phenological curve, the median point, and the target preset threshold includes:

[0017] Determine the planting phenological curve, the maturity phenological curve, and the germination phenological curve in the crop phenological curve;

[0018] Based on the median point corresponding to the crop phenological curve, the planting phenological curve, the maturity phenological curve, the germination phenological curve, the target preset threshold, and the historical vegetation index, determine the number of crop planting seasons.

[0019] According to a method for remotely sensing and extracting rice planting information and multiple cropping index provided by the present invention, the step of determining the number of crop planting seasons based on the median point corresponding to the crop phenological curve, the planting phenological curve, the maturity phenological curve, the germination phenological curve, the target preset threshold, and the historical vegetation index includes:

[0020] Determine the first water index corresponding to the planting phenological curve, the first vegetation index, the second vegetation index corresponding to the maturity phenological curve, and the second water index and the third vegetation index corresponding to the germination phenological curve;

[0021] Based on the first water index, the first vegetation index, the second vegetation index, the second water index, the third vegetation index, the target preset threshold, and the historical vegetation index, determine the number of crop planting seasons.

[0022] According to a method for remotely sensing and extracting rice planting information and multiple cropping index provided by the present invention, the step of determining the multiple cropping index based on the number of crop planting seasons includes:

[0023] Obtain the total number of crop planting seasons corresponding to the preset time period;

[0024] Determine the multiple cropping index according to the preset time period and the total number of crop planting seasons.

[0025] The present invention also provides a device for remotely sensing and extracting rice planting information and multiple cropping index, including:

[0026] A crop phenological curve determination module, configured to determine a crop phenological curve and a median point corresponding to the crop phenological curve according to a remote sensing image of a planting area;

[0027] A crop planting season determination module, configured to determine the number of crop planting seasons according to the crop phenological curve, the median point, and a target preset threshold;

[0028] A planting information acquisition module, configured to determine the multiple cropping index according to the number of crop planting seasons, and obtain the planting information of the planting area, where the planting information includes the number of crop planting seasons and the multiple cropping index.

[0029] The present invention also provides an electronic device, including a memory, a processor, and a computer program stored on the memory and executable on the processor, where when the processor executes the program, it implements the method for remotely sensing and extracting rice planting information and multiple cropping index as described in any one of the above.

[0030] The present invention also provides a non-transitory computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, it implements the method for remotely sensing and extracting rice planting information and multiple cropping index as described in any one of the above.

[0031] The present invention also provides a computer program product, including a computer program, and when the computer program is executed by a processor, it implements the method for remotely sensing and extracting rice planting information and multiple cropping index as described in any one of the above.

[0032] The method, device, and equipment for remotely sensing and extracting rice planting information and multiple cropping index provided by the present invention obtain a remote sensing image of a planting area, determine a crop phenological curve and a median point corresponding thereto, then determine the number of crop planting seasons according to the crop phenological curve, the median point, and a target preset threshold, and finally determine the multiple cropping index according to the number of planting seasons, and obtain crop planting information including the number of crop planting seasons and the multiple cropping index, realizing the accurate acquisition of farmland planting information and multiple cropping index. Description of the Drawings

[0033] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, the following drawings are some embodiments of the present invention, and for those of ordinary skill in the art, other drawings can be obtained according to these drawings without creative efforts.

[0034] Figure 1 It is one of the flow schematic diagrams of the method for remotely sensing extraction of rice planting information and multiple cropping index provided by the present invention;

[0035] Figure 2 It is the second of the flow schematic diagrams of the method for remotely sensing extraction of rice planting information and multiple cropping index provided by the present invention;

[0036] Figure 3 It is the structural schematic diagram of the device for remotely sensing extraction of rice planting information and multiple cropping index provided by the present invention;

[0037] Figure 4 It is the structural schematic diagram of the electronic device provided by the present invention. Detailed implementation manners

[0038] To make the objectives, technical solutions and advantages of the present invention clearer, the technical solutions in the present invention will be clearly and completely described below with reference to the accompanying drawings in the present invention. Obviously, the described embodiments are some, but not all, of the embodiments of the present invention. All other embodiments obtained by those of ordinary skill in the art based on the embodiments in the present invention without making creative efforts shall fall within the protection scope of the present invention.

[0039] The following combines Figure 1 - Figure 2 to describe the method for remotely sensing extraction of rice planting information and multiple cropping index of the present invention.

[0040] Please refer to Figure 1 , the present invention provides a method for remotely sensing extraction of rice planting information and multiple cropping index, including:

[0041] Step 100, determining a crop phenological curve and a median point corresponding to the crop phenological curve according to a remote sensing image of a planting area;

[0042] Specifically, obtaining multiple scenes of remote sensing images of a planting area, establishing a two-dimensional rectangular coordinate system with the normalized difference vegetation index as the vertical axis and time as the horizontal axis, so as to obtain the relationship between the normalized difference vegetation index and time in different crop growth periods based on time series, and obtaining the crop phenological curve of the normalized difference vegetation index of the time series. Applying remote sensing data with high temporal resolution, obtaining the crop phenological curve of the time series, and determining the initial value, maximum value and median value of the curves of different crop types in the time series, that is, the median point corresponding to the crop phenological curve in this embodiment.

[0043] Step 200, determining the number of crop planting seasons according to the crop phenological curve, the median point and a target preset threshold;

[0044] Specifically, the initial value of the crop phenology curve is NDWI-NDVI, where NDWI (Normalized Difference Water Index) is the normalized water index. The initial value of the crop phenology curve is calculated according to formula (1), where R g is the reflectivity of the green band.

[0045]

[0046] Assume that the median point of the crop phenology curve is NDVI p10 NDVI p11 NDVI p20 and NDVI p21 , in the planting period of crop phenology, if condition 1, the normalized water index of the initial value of the planting period is greater than or equal to a1; the normalized vegetation index of the initial value of the planting period is less than or equal to a2; and the following relationship is met:

[0047]

[0048] t p11 and t p10 The maximum value of NDVI between |NDVI max1 -NDVI max2 |≤a4, where a1~a4 are preset thresholds, NDVI max1 The highest NDVI value for the first crop, NDVI max2 The NDVI is the highest value of crops according to the statistics of previous years. max is the maximum value of the crop phenology planting period curve, NDVI mix is the minimum value of the crop phenology planting period curve, t10 and t11 are t p1 The time points of the remote sensing images obtained before and after the point (the midpoint of the first crop planting period); t20 and t21 are t p11 The time point of the remote sensing image obtained before and after the point (the midpoint of the first crop maturity period). The number of crop crops that meet the above conditions is 1.

[0049] Step 300, determining a multiple cropping index according to the number of crop planting stubbles, and obtaining planting information of the planting area, wherein the planting information includes the number of crop planting stubbles and the multiple cropping index.

[0050] Specifically, after obtaining the number of cropping stubbles, the multiple cropping index can be calculated according to formula (2), where FI is the multiple cropping index, k ij is the planting situation of the jth crop in the i-th year. If the jth crop is planted in the i-th year, then k ijIt takes the value of 1, otherwise 0. Here, n is the number of years counted, and m is the number of crop planting seasons. After determining the multiple cropping index, the planting information of the planting area including the number of crop planting seasons and the multiple cropping index can be obtained.

[0051]

[0052] In this embodiment, by obtaining the remote sensing image of the planting area, determining the crop phenological curve and its corresponding median point, and then determining the number of crop planting seasons according to the crop phenological curve, the median point and the target preset threshold, and finally determining the multiple cropping index according to the number of planting seasons, the crop planting information including the number of crop planting seasons and the multiple cropping index is obtained, realizing the accurate acquisition of farmland planting information and the multiple cropping index.

[0053] Please refer to Figure 2 , in one embodiment, the method for remotely extracting rice planting information and multiple cropping index provided by the embodiments of the present application may further include:

[0054] Step 10: Obtain the remote sensing image of the area to be identified, and determine the normalized difference vegetation index corresponding to each remote sensing image;

[0055] Step 20: Calculate the crop recognition index according to each remote sensing image and the normalized difference vegetation index corresponding to each remote sensing image;

[0056] Step 30: When the crop recognition index is greater than or equal to the first preset threshold, determine that the area to be identified is a planting area.

[0057] Specifically, obtain multiple scenes of remote sensing images of the area to be identified, and then calculate the NDVI (Normalized Difference Vegetation Index) value of the area to be identified according to the multiple scenes of remote sensing images, that is, the normalized difference vegetation index in this embodiment. Then calculate the CRI (Color Rendering Index) value according to each remote sensing image and the normalized difference vegetation index corresponding to each remote sensing image, that is, the crop recognition index in this embodiment. The NDVI value can be calculated according to formula (3); the crop recognition index can be calculated according to formula (4). Wherein, R nir is the reflectance of the near-infrared band, R n is the reflectance of the red band, NDVI i is the NDVI value of the i-th scene data covering the same area, i is the i-th scene data of the remote sensing images participating in the calculation, n1 is the number of scenes of the remote sensing images, is the mean value of NDVI of the time series.

[0058]

[0059]

[0060] When the CRI value corresponding to the area to be recognized is greater than or equal to a4 (i.e., the first preset threshold in this embodiment), it is determined that the area to be recognized is a planting area.

[0061] In this embodiment, the planting area is determined by the normalized difference vegetation index and the crop recognition index.

[0062] In one embodiment, the method for remotely sensing and extracting rice planting information and multiple cropping index provided by the embodiments of the present application may further include:

[0063] Step 110, determining the normalized difference water index and the normalized difference vegetation index corresponding to the planting area according to the remote sensing image of the planting area;

[0064] Step 120, determining the crop phenological curve and the median point corresponding to the crop phenological curve according to the normalized difference water index, the normalized difference vegetation index and the time series.

[0065] Specifically, obtain multiple scenes of remote sensing images of the planting area, and determine the crop phenological curve of the normalized difference vegetation index of the time series. Apply remote sensing data with high time resolution to obtain the crop phenological curve of the time series, and determine the initial value (NDWI-NDVI), maximum value and median value of the curves of different crop type time series, that is, the median point corresponding to the crop phenological curve in this embodiment, where NDWI is the normalized difference water index in this embodiment.

[0066] In this embodiment, the crop phenological curve is determined by the normalized difference water index, the normalized difference vegetation index and the time series.

[0067] In one embodiment, the method for remotely sensing and extracting rice planting information and multiple cropping index provided by the embodiments of the present application may further include:

[0068] Step 210, determining the planting phenological curve, the maturity phenological curve and the germination phenological curve in the crop phenological curve;

[0069] Step 220, determining the number of crop planting seasons according to the median point corresponding to the crop phenological curve, the planting phenological curve, the maturity phenological curve, the germination phenological curve, the target preset threshold and the historical vegetation index.

[0070] Specifically, the crop phenological curve includes the planting period phenological curve, the maturity period phenological curve and the germination period phenological curve. The initial value of the crop phenological curve is calculated according to formula (1), and the median point of the crop phenological curve is NDVI p10 、NDVI p11 、NDVI p20 and NDVI p21, during the planting period in crop phenology, on the basis of Condition 1 in the above embodiment, if Condition 2, t p21 and t p20 the maximum value of NDVI between |NDVI max3 -NDVI max4 |≤a2, where a1 to a5 are preset thresholds, and NDVI max3 is the highest NDVI value of the first crop, and t30 and t31 are the time points of the remote sensing images obtained before and after the t p20 point (the midpoint of the planting period of the second crop); t40 and t41 are the time points of the remote sensing images obtained before and after the t p21 point (the midpoint of the maturity period of the second crop). The number of crop planting seasons that meet the above conditions is 2.

[0071] In this embodiment, the number of crop planting seasons is determined through the crop phenology curve, preset thresholds, and historical vegetation indices.

[0072] In one embodiment, the method for remotely sensing the rice planting information and multiple cropping index provided by the embodiments of the present application may further include:

[0073] Step 221, determining the first water body index and the first vegetation index corresponding to the planting phenology curve, the second vegetation index corresponding to the mature phenology curve, and the second water body index and the third vegetation index corresponding to the germination phenology curve;

[0074] Step 222, determining the number of crop planting seasons according to the first water body index, the first vegetation index, the second vegetation index, the second water body index, the third vegetation index, the target preset threshold, and the historical vegetation index.

[0075] Specifically, according to the phenology curve of the germination period, if there is NDVI e -NDVI c ≥a7, NDWI c -NDWI e ≥a8, in the above formula, NDWI e , NDVI e , NDWI c and NDVI c are respectively the NDWI index and the NDVI index before the germination of the second crop, and the NDWI water body index and the NDVI value at the initial stage of the planting of the first crop. If the above Condition 2 in the embodiment is satisfied at the same time, it is determined that the number of crop planting seasons is 2.

[0076] In this embodiment, the number of crop planting seasons is determined through the water body index and the vegetation index.

[0077] In one embodiment, the method for remotely sensing and extracting rice planting information and multiple cropping index provided by the embodiments of the present application may further include:

[0078] Step 310: Obtain the total number of crop plantings corresponding to a preset time period;

[0079] Step 320: Determine the multiple cropping index according to the preset time period and the total number of crop plantings.

[0080] Specifically, after obtaining the number of crop plantings, the multiple cropping index can be calculated according to formula (2), where FI is the multiple cropping index, and k ij is the planting situation of the j-th crop in the i-th year. If the j-th crop is planted in the i-th year, then k ij takes a value of 1, otherwise 0. n is the number of years counted (i.e., the preset time period in this embodiment), and m is the number of crop plantings (i.e., the total number of crop plantings in this embodiment). After determining the multiple cropping index, the planting information of the planting area including the number of crop plantings and the multiple cropping index can be obtained.

[0081] In this embodiment, the multiple cropping index is determined based on the number of crop plantings, and the planting information of the planting area including the number of crop plantings and the multiple cropping index is obtained.

[0082] Next, the device for remotely sensing and extracting rice planting information and multiple cropping index provided by the present invention will be described. The device for remotely sensing and extracting rice planting information and multiple cropping index described below can be correspondingly referred to the method for remotely sensing and extracting rice planting information and multiple cropping index described above.

[0083] Please refer to Figure 3 , the present invention also provides a device for remotely sensing and extracting rice planting information and multiple cropping index, including:

[0084] A crop phenological curve determination module 301, configured to determine a crop phenological curve and a median point corresponding to the crop phenological curve according to a remote sensing image of a planting area;

[0085] A crop planting number determination module 302, configured to determine the number of crop plantings according to the crop phenological curve, the median point, and a target preset threshold;

[0086] A planting information acquisition module 303, configured to determine a multiple cropping index according to the number of crop plantings, and obtain the planting information of the planting area, where the planting information includes the number of crop plantings and the multiple cropping index.

[0087] Optionally, the device for remotely sensing and extracting rice planting information and multiple cropping index further includes:

[0088] A normalized difference vegetation index determination module, configured to obtain a remote sensing image of an area to be identified, and determine a normalized difference vegetation index corresponding to each remote sensing image;

[0089] A crop recognition index calculation module, which is used to calculate a crop recognition index according to each of the remote sensing images and the normalized difference vegetation index corresponding to each of the remote sensing images;

[0090] A planting area determination module, which is used to determine the area to be recognized as a planting area when the crop recognition index is greater than or equal to a first preset threshold.

[0091] Optionally, the crop phenological curve determination module includes:

[0092] An index determination unit, which is used to determine the normalized difference water index and the normalized difference vegetation index corresponding to the planting area according to the remote sensing image of the planting area;

[0093] A median point determination unit of the phenological curve, which is used to determine a crop phenological curve and the median point corresponding to the crop phenological curve according to the normalized difference water index, the normalized difference vegetation index and the time series.

[0094] Optionally, the crop planting number determination module includes:

[0095] A phenological curve determination unit, which is used to determine the planting phenological curve, the maturity phenological curve and the germination phenological curve in the crop phenological curve;

[0096] A crop planting number determination unit, which is used to determine the crop planting number according to the median point corresponding to the crop phenological curve, the planting phenological curve, the maturity phenological curve, the germination phenological curve, the target preset threshold and the historical vegetation index.

[0097] Optionally, the crop planting number determination unit includes:

[0098] A first determination unit, which is used to determine a first water index and a first vegetation index corresponding to the planting phenological curve, a second vegetation index corresponding to the maturity phenological curve, and a second water index and a third vegetation index corresponding to the germination phenological curve;

[0099] A second determination unit, which is used to determine the crop planting number according to the first water index, the first vegetation index, the second vegetation index, the second water index, the third vegetation index, the target preset threshold and the historical vegetation index.

[0100] Optionally, the planting information acquisition module includes:

[0101] A total crop planting number acquisition unit, which is used to acquire the total crop planting number corresponding to a preset time period;

[0102] A multiple cropping index determination unit for determining the multiple cropping index according to the preset time period and the total number of crop plantings.

[0103] Figure 4 An example of a schematic physical structure diagram of an electronic device is shown as Figure 4 shown. The electronic device may include: a processor 410, a communication interface 420, a memory 430, and a communication bus 440. Among them, the processor 410, the communication interface 420, and the memory 430 communicate with each other through the communication bus 440. The processor 410 can call the logical instructions in the memory 430 to execute the method for remotely extracting rice planting information and multiple cropping index.

[0104] In addition, when the logical instructions in the above-mentioned memory 430 are implemented in the form of a software functional unit and sold or used as an independent product, they can be stored in a computer-readable storage medium. Based on such an understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or a part of this technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in various embodiments of the present invention. The foregoing storage medium includes: various media such as a USB flash drive, a mobile hard disk, a read-only memory (ROM, Read-Only Memory), a random access memory (RAM, Random Access Memory), a magnetic disk, or an optical disc that can store program codes.

[0105] On the other hand, the present invention also provides a computer program product. The computer program product includes a computer program that can be stored on a non-transitory computer-readable storage medium. When the computer program is executed by a processor, the computer can execute the method for remotely extracting rice planting information and multiple cropping index provided by the above-mentioned various methods.

[0106] On yet another aspect, the present invention also provides a non-transitory computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, it is implemented to execute the method for remotely extracting rice planting information and multiple cropping index provided by the above-mentioned various methods.

[0107] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed to multiple network units. Some or all of the modules can be selected according to actual needs to achieve the purpose of the solution of this embodiment. Those of ordinary skill in the art can understand and implement it without creative efforts.

[0108] Through the description of the above embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus a necessary general hardware platform, and of course, it can also be implemented by hardware. Based on this understanding, the essence of the above technical solution, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., and includes several instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.

[0109] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions described in the foregoing embodiments, or perform equivalent replacements for some of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for remotely sensing and extracting rice planting information and multiple cropping index, characterized in that, including: determining a crop phenological curve and a median point corresponding to the crop phenological curve according to a remote sensing image of a planting area; determining the number of crop planting seasons according to the crop phenological curve, the median point and a target preset threshold; determining a multiple cropping index according to the number of crop planting seasons to obtain planting information of the planting area, where the planting information includes the number of crop planting seasons and the multiple cropping index; the step of determining a crop phenological curve and a median point corresponding to the crop phenological curve according to a remote sensing image of a planting area includes: determining a normalized water index and a normalized vegetation index corresponding to the planting area according to a remote sensing image of the planting area; determining a crop phenological curve and a median point corresponding to the crop phenological curve according to the normalized water index, the normalized vegetation index and a time series; the step of determining the number of crop planting seasons according to the crop phenological curve, the median point and a target preset threshold includes: determining a planting phenological curve, a maturity phenological curve and a germination phenological curve in the crop phenological curve; determining the number of crop planting seasons according to the median point corresponding to the crop phenological curve, the planting phenological curve, the maturity phenological curve, the germination phenological curve, the target preset threshold and a historical vegetation index; 2. The remote sensing extraction method of rice planting information and multiple cropping index according to claim 1, characterized in that before the step of determining a crop phenological curve and a median point corresponding to the crop phenological curve according to a remote sensing image of a planting area includes: acquiring a remote sensing image of an area to be identified, and determining a normalized vegetation index corresponding to each remote sensing image; calculating a crop recognition index according to each remote sensing image and the normalized vegetation index corresponding to each remote sensing image; when the crop recognition index is greater than or equal to a first preset threshold, determining the area to be identified as a planting area; 3. The method for remotely sensing extraction of rice planting information and multiple cropping index according to claim 1, characterized in that the step of determining the number of crop planting seasons according to the median point corresponding to the crop phenological curve, the planting phenological curve, the maturity phenological curve, the germination phenological curve, the target preset threshold and a historical vegetation index includes: determining a first water index and a first vegetation index corresponding to the planting phenological curve, a second vegetation index corresponding to the maturity phenological curve, and a second water index and a third vegetation index corresponding to the germination phenological curve; determining the number of crop planting seasons according to the first water index, the first vegetation index, the second vegetation index, the second water index, the third vegetation index, the target preset threshold and the historical vegetation index; 4. The remote sensing extraction method for rice planting information and multiple cropping index according to claim 1, characterized in that the step of determining a multiple cropping index according to the number of crop planting seasons includes: acquiring the total number of crop planting seasons corresponding to a preset time period; determining a multiple cropping index according to the preset time period and the total number of crop planting seasons; 5. A remote sensing extraction device for rice planting information and multiple cropping index, characterized in that, including: a crop phenological curve determination module, configured to determine a crop phenological curve and a median point corresponding to the crop phenological curve according to a remote sensing image of a planting area; a crop planting season number determination module, configured to determine the number of crop planting seasons according to the crop phenological curve, the median point and a target preset threshold; A planting information acquisition module, configured to determine a multiple cropping index according to the number of crop planting seasons, and obtain the planting information of the planting area, where the planting information includes the number of crop planting seasons and the multiple cropping index; The crop phenological curve determination module includes: An index determination unit, configured to determine a normalized water body index and a normalized vegetation index corresponding to the planting area according to a remote sensing image of the planting area; A phenological curve median point determination unit, configured to determine a crop phenological curve and a median point corresponding to the crop phenological curve according to the normalized water body index, the normalized vegetation index, and a time series; The crop planting season number determination module includes: A phenological curve determination unit, configured to determine a planting phenological curve, a maturity phenological curve, and a germination phenological curve in the crop phenological curve; A crop planting season number determination unit, configured to determine the number of crop planting seasons according to the median point corresponding to the crop phenological curve, the planting phenological curve, the maturity phenological curve, the germination phenological curve, the target preset threshold, and a historical vegetation index; 6. An electronic device, comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, characterized in that, When the processor executes the program, it implements the rice planting information and multiple cropping index remote sensing extraction method according to any one of claims 1 to 4.

7. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, it implements the rice planting information and multiple cropping index remote sensing extraction method according to any one of claims 1 to 4.

8. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by a processor, it implements the rice planting information and multiple cropping index remote sensing extraction method according to any one of claims 1 to 4.

Images