Based on the global quantitative remote sensing index system, key algorithm model, technical process and other typical application fields established in the first phase of research, the project organization and more than 30 units jointly developed a global quantitative remote sensing thematic product production system for typical application fields such as forestry, agriculture, minerals, water resources and ecological environment, and distributed it in relevant business departments such as forestry, agriculture, minerals, water resources and ecological environment throughout the country. It has formed the production capacity of more than 20 kinds of quantitative remote sensing special products in typical application fields and more than 20 kinds of monitoring and diagnosis products of ecological environment elements, and provided quantitative remote sensing special products to the government and public users relying on the service and operation system. After the system is completed, the second-phase forest biomass and carbon storage distribution map will be made in the global forest biomass and carbon storage remote sensing estimation, with national 100m grid and overseas key areas with 300-500m grid. In the remote sensing estimation of global crop yield, the monthly, quarterly and annual release ability of crop growth, drought and yield monitoring results has been realized, covering more than 90% of global crop yield; In terms of remote sensing detection and evaluation of important mineral resources and energy in the global giant metallogenic belt, the global remote sensing detection and evaluation system of mineral resources and energy is constructed, and the multi-scale remote sensing detection and evaluation of important mineral resources and energy in the giant metallogenic belt in South America is completed; For the international river regional hydrological simulation forecast and remote sensing monitoring information management platform, the monitoring report shall be submitted within 10 hour after the data is obtained; In terms of remote sensing monitoring of ecological environment, we have produced more than 20 kinds of demonstration products for the application of ecological environment elements in areas sensitive to global change.
2. The National Science and Technology Major Project "Research on Integrated Analysis of Multidimensional Information of Infectious Diseases and Prediction Technology of Transmission Risk", Project 7 "Visualization and Application Research of Multidimensional Information of Infectious Diseases"
Relying on the multidimensional information resources in Shenzhen, the project uses interdisciplinary theories and methods such as digital technology, information technology and network technology to describe the spatial distribution and spread dynamics of infectious diseases from the perspective of multidimensional visualization, and establishes a multidimensional visualization prediction and early warning system for infectious diseases in Shenzhen. The incidence trends of eight major infectious diseases, such as influenza, malaria, diarrhea and renal hemorrhagic fever, were predicted in Shenzhen. And completed the routine monitoring and early warning of these major infectious diseases, realized the * * * sharing of inter-departmental attribute data, and the spatio-temporal analysis of on-site manpower and resource allocation. The key technology of the system breakthrough lies in the organic integration of urban basic geographic information data, infectious disease data, medical station data, climate data and environmental quality data in the same platform system, which can show the characteristics and laws of infectious diseases from different angles in the form of multi-dimensional attributes. At the same time, through the analysis of climate and environmental dimensions, a discrete space division model for predicting the spread of infectious diseases is proposed in view of the increasingly complex interaction behavior in modern society. The model takes into account the complex spatial connection between individuals in modern society and the heterogeneity of population and distribution in reality. The multi-dimensional visual prediction and early warning system of infectious diseases in Shenzhen, the municipal simulation and analysis system of infectious diseases and the three-dimensional visual system of infectious diseases established in this project have very important social benefits for improving the monitoring and early warning ability of infectious diseases in Shenzhen and promoting the development of public health in Shenzhen.
3. National Natural Science Foundation "Model and Method of Collaborative Inversion of Interferometric SAR and LIDAR Forest Parameters"
In order to further strengthen the research on the mechanism of active microwave and active light radiation and the algorithm of forest structure parameters, realize the collaborative inversion of forest structure parameters by dual active remote sensing, and improve the accuracy of single sensor inversion of forest structure parameters, on the basis of interferometric SAR scattering model, small spot LIDAR parameter extraction and large spot lidar waveform simulation, the inversion model of vegetation vertical structure parameters under different terrain parameter settings was simulated by computer, and the sensitivity of interferometric SAR and lidar to forest structure and terrain parameters was quantitatively analyzed. According to prior knowledge and lidar data, the forest structure parameters and geometric light radiation transmission model are extracted, and the full waveform model of large spot lidar is established. Other forest structure parameters are extracted by waveform decomposition technology and interpolated to a large area, and the forest structure parameter inversion image of the whole image is obtained. Combined with the characteristics of high accuracy of SAR coverage area and elevation obtained by small spot LIDAR discrete points, the two technologies are combined to change the scattering model of SAR, and the accuracy of extracting forest structure parameters is improved by combining discrete LIDAR data, and finally the expansion of forest structure parameters in large areas is realized. Through the forward simulation of interferometric SAR backscattering signal and laser echo waveform in real three-dimensional forest distribution scene, the sensitivity of analog signals and their components or their characteristic description parameters of the two sensors to forest structure and terrain parameters is analyzed. Based on the geometric optical model of DEM and canopy, the optimal interference coherence, polarization target decomposition technology and lidar technology are used to realize the comprehensive inversion of forest parameters of interferometric SAR and lidar, taking into account the multi-scale effect, and the accuracy is 5-65438+ higher than that of single data inversion.
4. National Natural Science Foundation of China "Analysis and Research on Correlation between Tree Influenza Risk and Forest Health in China Based on Spatial Information Technology"
This project mainly studies the distribution of tree influenza pathogens in suitable areas in China, analyzes the correlation between tree influenza outbreak risk and forest health through simulation analysis and prediction and early warning, diagnoses and evaluates forest vegetation health, and protects forest vegetation resources in China to the maximum extent. This project focuses on the climatic factors with known geographical distribution in time and space, and analyzes the adaptability of arboreal influenza pathogens in different regions of China. At the same time, based on remote sensing, GIS and other spatial information technologies, the distribution area of its host trees in China was studied, and the observation factors of each tree species were obtained, including canopy structure parameters, LAI, biomass and so on. Taking these parameters as indicators, combined with prior knowledge and forest survey data, we can judge whether tree species may be infected with arboreal influenza, and analyze the outbreak risk of arboreal influenza through field verification and prediction. At the same time, the spread mode and direction of sudden death of oak trees in the case of "tree flu" in Britain were studied, and the risk of its introduction into China and further spread was analyzed, predicted and warned from the aspects of geography and management standards, the possibility of colonization and the possibility of post-colonial spread. On the basis of studying the risk of forest influenza outbreak in China, aiming at the impact of forest influenza outbreak on the physiological and ecological characteristics of trees, taking forest health assessment as the goal, the correlation between forest influenza risk and forest health was deeply analyzed by selecting appropriate indicators. Based on the forest parameters, national forestry survey data and tree influenza monitoring results obtained by remote sensing, GIS and other spatial information technologies, the forest health status in the pathogen-suitable area can be diagnosed, which can provide reference for forest resources monitoring and evaluation.
5. State Forestry Administration's "Study on Wetland Ecosystem Evaluation System" Project
Based on a large number of literature studies, this project takes "monitorable, reportable and operable" as the guiding principle, and establishes a scientific, reasonable and operable evaluation index system from three aspects of wetland ecosystem health, function and value through comprehensive investigation, expert consultation and field verification, and successfully passed the expert demonstration of the Science and Technology Committee of the State Forestry Administration on February 29, 2065438. For all wetland types in the classification system, the index system establishes the indexes at all levels of the evaluation index system of wetland ecosystem health, function and value and its calculation method, which can be used to evaluate the health status, functional intensity and economic value of a single wetland in the nature reserve or the smallest administrative region where the wetland is located, and can be used to compare the health, function and value of the same type of wetland ecosystem. According to the final draft of wetland ecosystem evaluation index system constructed by Wetland Project Implementation Plan, five categories 13 indicators of wetland ecosystem health evaluation index system, seven indicators of wetland ecosystem function evaluation index system and eight indicators of wetland ecosystem value evaluation index system were verified on the spot. In order to promote the transformation of wetland ecosystem evaluation system from scientific research to production, and further improve the scientificity and representativeness of national wetland value evaluation, the project carried out pilot application of wetland ecosystem evaluation on seven key wetlands in GEF5 planning project and different types of international key wetlands in different regions of China, and completed two batches of ***2 1 wetland pilot demonstration work, whose demonstration effect will promote the development of national wetland protection and provide timely and reasonable utilization for wetland management, scientific research and utilization.
6. Qinghai Province Science and Technology Key Project "Study on Characteristics of Eastern Kunlun Metallogenic Belt in Qinghai Province and Rapid Remote Sensing Detection Technology of Multi-scale Metallogenic Target Area under Complex Surface Conditions"
Based on the principle that the geometric properties of metallogenic geological targets with different spatial scales condensed by metallogenic models correspond to the physical properties of remote sensing information, and considering the complexity of the surface, the project has formed the matching and selection of aerospace remote sensing data sources on different platforms and the comprehensive formulation of target-oriented data processing schemes. Fully collect all kinds of geological data such as geology, minerals, geophysical and geochemical anomalies, remote sensing geology, comprehensive information and scientific research. , find out the main problems and breakthroughs in previous mineral work and anomaly verification work, and build a research platform based on this research work. At the same time, the genetic types, temporal and spatial distribution characteristics, regional metallogenic geological background, metallogenic environment and metallogenic controlling factors of known deposits (points) are studied. The focus of the research work is to summarize the metallogenic regularity through the anatomy of typical ore deposits and the theory of similarity and analogy, so as to play the role of taking points as areas. Finally, the metallogenic regularity is summarized, and the key technology of predicting the target area of large and medium-sized deposits and prospecting breakthrough by main mineral species and metallogenic types is put forward. At the same time, a comprehensive analysis system model integrating remote sensing image model, sensor model and processing model for rapid positioning of large-scale metallogenic target area is constructed, and Qinghai geological prospecting information service platform technology represented by East Kunlun metallogenic belt is formed. In this project, the uncertainty spatial data mining model is used to improve the accuracy of remote sensing to determine the target area, and the characteristics of known deposits (points) in the Middle East Kunlun area in the Crosta decorative image are clearly diagnosed, and 58 first-class, first-class and second-class target areas from East Kunlun to West Kunlun are delineated by using this remote sensing technology.
7.973 Project Sub-topic "Synthetic Inversion Model and Method of Interferometric SAR and Lidar Vegetation Parameters"
Through the forward simulation of SAR backscattering signal and laser echo waveform of real three-dimensional forest distribution scene, this project analyzes the sensitivity of simulated signals of two sensors and their components or their characteristic description parameters to forest structure and terrain parameters, and studies and puts forward a comprehensive inversion model and method of forest structure parameters that can give full play to their respective advantages. Firstly, the method of retrieving forest biomass from SAR data was studied. Combined with the regional forest biomass distribution generated by lidar, the response of SAR to extracting biomass from lidar at different scales was analyzed. Finally, an inversion method of forest biomass based on stand scale was established. Using LiDAR and SPOT5 to inverse forest biomass, normalized point cloud statistics and SPOT5 to extract indicators of forest biomass, a collaborative inversion model was established through multiple stepwise regression models. In this paper, SAR and SPOT5 are used to jointly retrieve forest biomass, and a neural network model is used to establish a collaborative inversion model based on neural network. The indicator factors selected when SPOT5 extracts forest biomass and SAR HH and HV polarization data are used as the input data of the neural network. Finally, combined with SAR, SPOT5-5, LiDAR and other multi-source remote sensing data, the forest biomass was co-inversed, and the structural parameters extracted by LiDAR and the leaf area index and coverage extracted by optical data were co-inversed into the microwave backscattering model from the model point of view, and a co-inversion model of multi-source remote sensing data based on physical mechanism was established.
8. The key deployment project of China Academy of Sciences "Research and Development of Dual-color Infrared Remote Sensing Diagnostic System for Environmental Health"
This project faces the application of infrared remote sensing in resource detection and environmental monitoring, breaks through the key technologies related to infrared focal plane physics, materials and devices, further improves the necessary basic technology platform, and develops a two-color infrared environmental health remote sensing diagnosis system on the basis of existing research. The research of 128× 128 medium/long wavelength dichroic focal plane detector module with specific requirements is carried out. Through the specific infrared absorption requirements of the detected target, the accurate positioning and stable repeatability of the detection wavelength of the device, the optimization of the effective pixels of the array and the improvement of the temperature resolution of the system, the application adaptability of the device is higher. At the same time, the related research and device verification of resource remote sensing application are carried out. Specifically, based on the application of infrared remote sensing in Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, a two-color infrared remote sensing diagnosis system for environmental health is developed, and the applicability of the two-color infrared optical detection system to environmental health factors such as surface temperature, forest fire and urban heat island, spectral range, spectral response function, working temperature and response consistency of each pixel of the system are analyzed and verified, thus contributing to the localization and upgrading of key infrared devices in infrared remote sensing. The project has realized the stable, repeatable and highly uniform preparation technology of the mid-wave/long-wave dual-color laminated quantum well infrared detector array chip, and the performance of similar devices is in the forefront of China, maintaining the leading position of infrared dual-color array in multi-field application research; Shorten the gap with the international level, and provide the basis for truly meeting the demand and the follow-up promotion plan through actual verification and evaluation.
9.CAS-TWAS "Scientific Cooperation Research Project on Space Disaster Reduction in Asia" and "Research on Disaster Reduction in Flood-prone Areas Based on Space Information Technology Cooperation between China and Southeast Asian Countries"
As one of the most destructive natural disasters, flood disaster has caused a large number of casualties and economic losses worldwide. Under the background of global climate change and economic development, the impact of global flood disasters is expected to be more serious, especially in Asia, which has been hit by major flood disasters all the year round. When floods occur, people in flooded areas will be at risk of contracting infectious diseases, especially some water-borne infectious diseases (water-borne infectious diseases). In recent decades, remote sensing technology has played an important role in flood disaster monitoring and disaster assessment, but its application in the study of dynamic changes of water-borne infectious diseases and other environment-related diseases is rare. In addition, the acquisition of remote sensing data during the flood period is limited by cloud and rain and return period, so it is difficult to meet the demand of rapid flood monitoring by relying on a single remote sensing data source, and it is urgent to solve it through data sharing mechanism and establishing a spatial database of flood-stricken areas.
In view of the characteristics and future development trend of flood disasters in Asian countries, the project aims to establish and improve the spatial database of typical disaster-stricken areas in Yom Basin in Thailand and Yangtze River Basin in China through the cooperation of spatial information technology between China and Southeast Asian countries, and on this basis, to build a comprehensive model integrating the rapid flood monitoring model and the risk assessment model of water-borne infectious diseases caused by floods. Make use of the existing good cooperative relationship between the research group and Southeast Asian countries, and carry out more in-depth cooperation through spatial data sharing, technical exchange of flood disaster reduction, personnel training and exchange, so as to contribute to the development of emerging interdisciplinary fields of Institute of Remote Sensing and Digital Earth of Chinese Academy of Sciences, cultivate senior technical personnel in the field of flood disaster space reduction for Asian developing countries, and further broaden the road of cooperation and exchange with other Asian countries in the field of space disaster reduction.
10, self-cultivation project
Since 2007, the laboratory led by researcher Cao Chunxiang has conducted self-funded field experiments of satellite-ground synchronization every two years in Mu Us Sandy Land, Inner Mongolia, and conducted four experiments (2007, 2009, 20 1 1, 20 13).