With the continuous improvement of the performance and the increasing variety of optical mapping and remote sensing satellites,they have become an important support for obtaining global accurate surveying and mapping ...With the continuous improvement of the performance and the increasing variety of optical mapping and remote sensing satellites,they have become an important support for obtaining global accurate surveying and mapping remote sensing information.At present,optical mapping and remote sensing satellites already have sub-meter spatial resolution capabilities,but there is a serious lag problem in mapping and remote sensing information services.It is urgent to develop intelligent mapping and remote sensing satellites to promote the transformation and upgrading to real-time intelligent services.Firstly,based on the three imaging systems of the optical mapping and remote sensing satellites and their realization methods and application characteristics,this paper analyzes the applicable system of the intelligent mapping and remote sensing satellites.Further,according to the application requirements of real-time,intelligence,and popularization,puts forward the design concept of integrated intelligent remote sensing satellite integrating communication,navigation,and remote sensing and focuses on the service mode and integrated function composition of intelligent remote sensing satellite.Then expounds on the performance and characteristics of the Luojia-301 satellite,a new generation of intelligent surveying and mapping remote sensing scientific test satellite.And finally summarizes and prospects the development and mission of intelligent mapping remote sensing satellites.Luojia-301 satellite integrates remote sensing and communication functions.It explores an efficient and intelligent service mode of mapping and remote sensing information from data acquisition to the application terminal and provides a real service verification platform for on-orbit processing and real-time transmission of remote sensing data based on space-ground internet,which is of great significance to the construction of China’s spatial information network.展开更多
There are many crop yield estimation techniques which are used in countries around the world,but the most effective is the one based on remote sensing data and technologies.However,remote sensing data which are needed...There are many crop yield estimation techniques which are used in countries around the world,but the most effective is the one based on remote sensing data and technologies.However,remote sensing data which are needed to estimate crop yield is incomplete most of the time due to many obstacles such as climate conditions(percentage of cloud cover),and low temporal resolution.These problems reduce the effectiveness of the known crop yield estimation techniques and render them obsolete.There was many attempts to solve these problems by using high temporal resolution and low spatial resolution images.However,this type of images are suitable for very large homogeneous crop fields.To compensate for the lack of high spatial resolution satellite images,a new mathematical model is created.Based on the new mathematical model an intelligent system is implemented that includes the use of energy balance equation to improve the crop yield estimation.To verify the results of the intelligent system,several farmers are interviewed and information about their crops yield is collected.The comparison between the estimated crop yield and the actual production in different fields proves the high accuracy of the intelligent system.展开更多
基金National Natural Science Foundation of China(Nos.91738302,91838303)。
文摘With the continuous improvement of the performance and the increasing variety of optical mapping and remote sensing satellites,they have become an important support for obtaining global accurate surveying and mapping remote sensing information.At present,optical mapping and remote sensing satellites already have sub-meter spatial resolution capabilities,but there is a serious lag problem in mapping and remote sensing information services.It is urgent to develop intelligent mapping and remote sensing satellites to promote the transformation and upgrading to real-time intelligent services.Firstly,based on the three imaging systems of the optical mapping and remote sensing satellites and their realization methods and application characteristics,this paper analyzes the applicable system of the intelligent mapping and remote sensing satellites.Further,according to the application requirements of real-time,intelligence,and popularization,puts forward the design concept of integrated intelligent remote sensing satellite integrating communication,navigation,and remote sensing and focuses on the service mode and integrated function composition of intelligent remote sensing satellite.Then expounds on the performance and characteristics of the Luojia-301 satellite,a new generation of intelligent surveying and mapping remote sensing scientific test satellite.And finally summarizes and prospects the development and mission of intelligent mapping remote sensing satellites.Luojia-301 satellite integrates remote sensing and communication functions.It explores an efficient and intelligent service mode of mapping and remote sensing information from data acquisition to the application terminal and provides a real service verification platform for on-orbit processing and real-time transmission of remote sensing data based on space-ground internet,which is of great significance to the construction of China’s spatial information network.
基金The authors would like to thank CNRS for facilitating the achievement of this research as part of a project supported and financed by CEDRE 2018.
文摘There are many crop yield estimation techniques which are used in countries around the world,but the most effective is the one based on remote sensing data and technologies.However,remote sensing data which are needed to estimate crop yield is incomplete most of the time due to many obstacles such as climate conditions(percentage of cloud cover),and low temporal resolution.These problems reduce the effectiveness of the known crop yield estimation techniques and render them obsolete.There was many attempts to solve these problems by using high temporal resolution and low spatial resolution images.However,this type of images are suitable for very large homogeneous crop fields.To compensate for the lack of high spatial resolution satellite images,a new mathematical model is created.Based on the new mathematical model an intelligent system is implemented that includes the use of energy balance equation to improve the crop yield estimation.To verify the results of the intelligent system,several farmers are interviewed and information about their crops yield is collected.The comparison between the estimated crop yield and the actual production in different fields proves the high accuracy of the intelligent system.
