|
|
|
题名
|
作者
|
年代
|
出处
|
被引量
|
| 1 | Measurement of ecological capital of Chinese terrestrial ecosystem based on remote sensing显示文摘The biosphere of the Earth is essential to human survival and development. The services of ecosystems are critical to the functioning of the Earth’s life-support system. They contribute to human welfare both directly and indirectly. Ecological capital refers to the sum of the direct biological resources value and the indirect ecosystem services value. It is necessary to estimate the ecological capital in order to bring it to the society and market economic system, and draw the social attention to ecological environment constructions. An estimation model for eco-logical capital based on remote sensing is presented in this paper. The parameters in the model are quantitatively measured using NOAA/AVHRR and other ancillary data, including the land cover types, the vegetation coverage, and the vegetation net primary productivity (NPP) of ter-restrial ecosystem. Based on the economic parameters in previously published studies and a few original calculations, the annual ecological capital of the entire terrestrial ecosystem of China is quantitatively estimated at 6.44 trillion (1012) yuan (RMB), and the spatial distribution of the eco-logical capital is also analyzed. Traditional ecological methods to ecological capital measurement are based on homogeneous plot scales, and the regional scaling is a key problem in their appli-cations. As the proposed remote sensing approach, it provides a new method to ecological capital measurement completely based on observation data. It can not only overcome the re-gional scaling problem easily, but also allows the ecological capital to be estimated objectively and spatial-explicitly. | PAN Yaozhong SHI Peijun ZHU Wenquan GU Xiaohe FAN Yida LI Jing | 2005 | Science China Earth Sciences2005，48，6： | 14 |
| 2 | Optimum segmentation of simple objects in high-resolution remote sensing imagery in coastal areas显示文摘The optimum segmentation of ground objects in a landscape is essential for interpretation of high-resolution remotely sensed imagery and detection of objects; and it is also a technical foundation to efficiently use spatial information in remote sensing imagery. Landscapes are complex system composed of a large number of heterogeneous components. There are many explicit homogeneous image objects that have similar spectral character and yet differ from surrounding objects in high-resolution remote sensing imagery. Thereby, a new concept of Distinctive Feature of fractal is put forward and used in deriving Distinctive Feature curve of fractal evolution in multiscale segmentation. Through distinguishing the extremum condition of Distinctive Feature curve and the inclusion relationship of fractals in multiscale representation the Scalar Order is built. This can help to determinate the optimum scale in image segmentation for simple-objects, and the potential meaningful image-object fitting the intrinsic scale of the dominant landscape object can be obtained. Based on the application in high-resolution remote sensing imagery in coastal areas, a satisfactory result was acquired. | CHEN Jianyu1,2, PAN Delu1 & MAO Zhihua1 1. State Key Laboratory of Satellite Ocean Environment Dynamics, Second Institute of Oceanography, State Oceanic Admini- stration, Hangzhou 310012, China 2. Shanghai Institute of Technical Physics, Chinese Academy of Science, Shanghai 200083, China | 2006 | Science China Earth Sciences2006，49，11： | 11 |
| 3 | Estimation of chlorophyll-a concentration in the Zhujiang Estuary from SeaWiFS data显示文摘The chlorophyll-a concentration is generally overestimated for the southem China coastal waters if the default algorithm of the SeaDAS is employed. An algorithm is developed for retrieval of chlorophyll-a concentration in the Zhujiang Estuary, Guangdong Province, China, by using simulated reflectance data. The simulated reflectance is calculated corresponding to the SeaWiFS wavelength bands, via a general model by inputting measured water components, I.e., the suspended sediment,chlorophyll-a, and yellow substance (DOC) concentration data of 130 samples. Empirical relationships of the chlorophyll-a concentration to 240 different band combinations are investigated based on the simulated reflectance data, and the band combination, R5R6/R3R4, is found to be the optimum one for the development of an algorithm valid for the Zhujiang Estuary. This algorithm is then employed to determine the chlorophyll-a concentration from SeaWiFS data. The estimated concentrations have a better accuracy than those obtained from the SeaDAS default algorithm when comnpared with sea truth data. The new algorithm is demonstrated to work well and is used to derive a series of image maps of the chlorophyll-a concentration distribution for the Zhujiang Estuary and adjacent coastal areas. | MagnusLarson Lennartjnsson | 2002 | Acta Oceanologica Sinica2002，21，1： | 10 |
| 4 | Genetic inverse algorithm for retrieval of component temperature of mixed pixel by multi-angle thermal infrared remote sensing data显示文摘After carefully studying the results of retrieval of land surface temperature(LST) by multi-channel thermal infrared remote sensing data, the authors of this paper point out that its accuracy and significance for applications are seriously damaged by the high correlation coefficient among multi-channel information and its disablement of direct retrieval of component temperature. Based on the model of directional radiation of non-isothermal mixed pixel, the authors point out that multi-angle thermal infrared remote sensing can offer the possibility to directly retrieve component temperature, but it is also a multi-parameter synchronous inverse problem. The results of digital simulation and field experiments show that the genetic inverse algorithm (GIA) is an effective method to fulfill multi-parameter synchronous retrieval. So it is possible to realize retrieval of component temperature with error less than 1K by multi-angle thermal infrared remote sensing data and GIA. | 徐希孺 陈良富 庄家礼 | 2001 | Science China Earth Sciences2001，44，4： | 7 |
| 5 | Spatial scaling of net primary productivity model based on remote sensing显示文摘Spatial scaling for net primary productivity (NPP) refers to the transferring process of establishing quantitative correlation between simulated NPP derived from data at different spatial resolutions. How to transfer NPP at one scale by the algorithm with smaller error to at another is the urgent problem. Nonlinearity and effects from land cover type are two main problems in NPP scaling. In this paper, the contextural approach based on mixed pixels and support vector machine (SVM) algorithm are used to make the scaling model from the fine resolution (TM) to the coarse resolution (MODIS). Spatial scaling from NPP retrieved from fine resolution data to NPP derived from coarse resolution images is performed, and the correction of scale effect to NPP retrieved from coarse resolution data of MODIS is accomplished. The result shows that the correlation between Rj_coereted of the correction factor for scale effect and 1-Fmiddle dessity grassland estimated by SVM regression model is higher (R2=0.81). Before the correction for scale effect, the correlation between NPPMODIS and NPPTM is lower (R2=0.69; RMSE=3.47), while the correlation between NPPTM and corrected NPPMODIS_corrected is higher (R2=0.84; RMSE= 1.87). Therefore, NPP corrected for scale effect has been greatly improved in both correlation and error. | WANG Liwen WEI Yaxing NIU Zheng | 2010 | 遥感学报2010，14，6： | 5 |
| 6 | Remote sensing analysis of desert vegetation and its landscape changes: The case in middle reaches of Tarim River Basin, Xinjiang, China显示文摘Based on remote sensing information sources including B/W aerial photos of 1983,pseudo-color aerial photos of 1992 and JERS-1/OPS VNIR image of 1996, vegetation types ofYingbazha, in the middle reaches of the Tarim River Basin in Xinjiang, China are mapped usingARC/INFO and related software. The changes in vegetation areas and distribution conditions areanalyzed. As a result of natural and human influences, vegetation changes have temporal andspatial characteristics. According to the principles of landscape ecology and geographical informa-tion science, the landscape changes are indicated. Moreover, the remote sensing and GIS tech-niques are integrated to study vegetation and its landscape. | 王让会 樊自立 张慧芝 陈亚萍 马映军 | 2002 | Science China Earth Sciences2002，45，z1： | 4 |
| 7 | Monitoring on soil erosion and sediment delivery at a typical basin of the middle and lower reaches of the Jialing River by remote sensing显示文摘The monitoring work was performed on soil erosion in Lizixi drainage area respectively in 1986 and 1999 by multiple methods with the information extracted from the Landsat TM imagery and Spot imagery. The variation of erosion quantity in this area is calculated based on the monitoring result of the erosion intensity and area in these two years. The change of sediment delivery is also analyzed. The research result shows that compared to 1986, in 1999, the erosion area reduced, especially for the area of moderate intensity and above, and the intensity and quantity of erosion decreased. Compared to this period from 1965 to 1986, the sediment delivery ratio has been changed from 0.27 to 0.11 after 1986. The research result could help the decision-making for further water and soil conversation work in Lizixi drainage area, and it also offers reference for monitoring,evaluating and predicting soil erosion in other drainage areas. | FAN Jianrong, ZHONG Xianghao & LIU Shuzhen Institute of Mountain Hazards and Environment, Chinese Academy of Sciences and Ministry of Water Resources, Chengdu 610041, China | 2003 | Science China(Technological Sciences)2003，46，z1： | 4 |
| 8 | Determination of regional distribution of crop transpiration and soil water use efficiency using quantitative remote sensing data through inversion显示文摘A two-layer model used to get the estimated values of crop transpiration by inversion using remote sensing data, which has been proved effective at some agricultural-ecological sta-tions, is first discussed. An important part of it is the temperature separation model (in which thesurface temperature in a mixed pixel is separated into soil surface temperature and crop canopysurface temperature) on the basis of bi-temporal radiometric temperature in a mixed pixel and its thermal inertia. To improve the inversion, the authors put forward some new algorithms, including an algorithm for the estimation of regional emissivities, a static feedback algorithm using surfacetemperature for the extension of air temperature at ecological stations to the region surroundingthem and a spatial extension algorithm for calculating the wind speed 2 m above the ground withsurface roughness and radiometric temperature. Finally, regional distributions of crop transpiration (CT) and soil water use efficiency (SWUE) in North China were calculated pixel by pixel usingNOAA-AVHRR data and surface measurements and calibrations. The results provide a way toassess the effects of various agricultural practices on SWUE by using remote sensing data inNorth China in spring. | 张仁华 孙晓敏 刘纪远 苏红波 唐新斋 朱治林 | 2003 | Science China Earth Sciences2003，46，1： | 4 |
| 9 | Principle and application of three-band gradient difference vegetation index显示文摘Vegetation index is a simple, effective and experiential measurement of terrestrial vegetation activity, and plays a very important role in qualitative and quantitative remote sensing. Aiming at shortages of current vegetation indices, and starting from the analysis of vegetation spectral characteristics, we put forward a new vegetation index, the three-band gradient difference vegetation index (TGDVI), and established algorithms to inverse crown cover fraction and leaf area index (LAI) from it. Theoretical analysis and model simulation show that TGDVI has high saturation point and the ability to remove the influence of background to some degree, and the explicit functional relation with crown cover fraction and LAI can be established. Moreover, study shows that TGDVI also has the ability to partly remove the influence of thin cloud. Experiment in the Shunyi District, Beijing, China shows that reasonable result can be reached using the vegetation index to retrieve LAI. We also theoretically analyzed the reason why the normalized difference vegetation index (NDVI) owns the low saturation point, and show that it is determined by the definition of NDVI and the characteristic of vegetation spectra, and is unavoidable to some degree. Meanwhile, through model simulation, we also indicate that the relationship between simple ratio vegetation index (SR) and LAI closes to a piecewise linear one instead of a linear one, which is mainly caused by the influence of background and different change rates of reflectance in red and infrared bands with LAI increasing. | TANG Shihao, ZHU Qijiang, WANG Jindi, ZHOU Yuyu & ZHAO Feng Research Center for Remote Sensing and GIS, Department of Geography, Beijing Normal University, Beijing 100875, China National Satellite Meteorological Center, China Meteorological Administration, Beijing 100081, China | 2005 | Science China Earth Sciences2005，48，2： | 4 |
| 10 | Mapping forest fire risk zones with spatial data and principal component analysis显示文摘By integrating forest inventory data with remotely sensed data, new data layers for factors that affect forest fire potentials were generated for Baihe Forestry Bureau in Jilin Province of China. The principle component analysis was used to sort out the relationships between forest fire potentials and environmental factors. The classifications of these factors were performed with GIS, generating three maps: a fuel-based fire risk map, a topography-based fire risk map, and an anthropogenic-factor fire risk map. These three maps were then synthesized to generate the final fire risk map. The linear regression method was used to analyze the relationship between an area-weighted value of forest fire risks and the frequency of historical forest fires at each forest farm. The results showed that the most important factor contributing to forest fire ignition was topography, followed by anthropogenic factors. | XU Dong, Guofan Shao, DAI Limin, HAO Zhanqing, TANG Lei & WANG Hui Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016, China Graduate University of Chinese Academy of Sciences, Beijing 100039, China Department of Forestry and Natural Resources, Purdue University, West Lafayette, IN 47907, USA Department of Management, Shenyang Institute of Aeronautical Engineering, Shenyang 110034, China Department of City Development, Jinan University, Jinan 250002, China | 2006 | Science China(Technological Sciences)2006，49，z1： | 3 |
| 11 | Digital earth, Virtual Reality and urban seismic disaster simulation显示文摘US Vice President Al Gore’s vision of Digital Earth applies us with prospects for brand-new ways of solving problems the earth is facing such as seismic disaster. ms paper first briefly introduces the concept of Digital Earth. Then in the context of Digital Earth. the Origin, concept and application of Virtual Reality technology are reviewed. After that we present in detail our preliminary case study--CVR-USD (Computer Virtual Reality for Urban Seismic Disaster Simulation) System which aims to simulate and manage seismic disaster through integrating RS, GIS and VR technologies. For this system, we’ve built USD subsystem, developed SMVR software to implement CVR. and also developed a Spatial Dare Analysis Package to handle spatial data related to earthquake disaster. | HE Jian-bang, HU Zhi-yong, YE Ze-tian, LI Hui-guo, WANG Jin-feng (State Key Laboratory of Resources & Environment Information Systems, Chinese Academy of Sciences, Beijing 100101, China) | 2000 | Journal of Geographical Sciences2000，10，2： | 2 |
| 12 | An experiment using mid and thermal infrared in quantum remote sensing显示文摘The concept of quantum remote sensing and the differences between quantum remote sensing and remote sensing is introduced, an experiment about the uses of mid and thermal infrared in quantum remote sensing is described and results are analyzed. | BI Siwen HAN Jixia | 2006 | Science China(Technological Sciences)2006，49，z2： | 2 |
| 13 | SST diurnal warming in the China seas and northwestern Pacific Ocean using MTSAT satellite observations显示文摘Hourly sea surface temperature(SST) observations from the geostationary satellite are increasingly used in studies of the diurnal warming of the surface oceans. The aim of this study is to derive the spatial and temporal distribution of diurnal warming in the China seas and northwestern Pacific Ocean from Multi-functional Transport Satellite(MTSAT) SST. The MTSAT SST is validated against drifting buoy measurements firstly. It shows mean biases is about –0.2°C and standard deviation is about 0.6°C comparable to other satellite SST accuracy. The results show that the tropics, mid-latitudes controlled by subtropical high and marginal seas are frequently affected by large diurnal warming. The Kuroshio and its extension regions are smaller compared with the surrounding regions. A clear seasonal signal, peaking at spring and summer can be seen from the long time series of diurnal warming in the domain in average. It may due to large insolation and low wind speed in spring and summer, while the winter being the opposite. Surface wind speed modulates the amplitude of the diurnal cycle by influencing the surface heat flux and by determining the momentum flux. For the shallow marginal seas, such as the East China Sea, turbidity would be another important factor promoting diurnal warming. It suggests the need for the diurnal variation to be considered in SST measurement, air-sea flux estimation and multiple sensors SST blending. | TU Qianguang PAN Delu HAO Zengzhou YAN Yunwei | 2016 | Acta Oceanologica Sinica2016，35，12： | 1 |
| 14 | Calculating soil moisture by remote sensing and analyzing hydrologic cycle process in the Yellow River basin显示文摘Based on the AVHRR pathfinder remote sensing data, soil moisture, precipitation and evaporation during the period of 1982—1998, soil moisture of all layers of soil-profile (0—1 m) in the Yellow River basin over the 17 years are calculated by the remote sensing model of calculating soil water. The Yellow River basin is divided into seven subcatchments as control sections at the location of six hydrologic stations (Lanzhou, Toudaoguai, Longmen, Sanmenxia, Huayuankou and Lijin). After calculating soil moisture and obtaining runoff data and precipitation data, the dynamical features of hydrological cycle in the Yellow River basin are analyzed for the period from 1982 to 1988 using water balance method. The conclusions are as follows: It is feasible to calculate the soil water on the macro-scale, in the soil profile with temporal continuity by means of remote sensing and survey in land. Some values of the key water cycle factors in the Yellow River are obtained, which include the annual precipitation of 4000 km3, the evapotranspiration of 3000-3500 km3, and the soil moisture transformation of ?500- 500 km3. Consequently, we analyzed the process of the water cycle in the Yellow River over the 17 years, and the results show that the segment upstream of Lanzhou city is a relatively humid region, and the area of internal waters and the reaches of Shanshan is the most desiccated region. Therefore, the runoff in the depth process is intensive and the runoff-generating process is weak in more arid regions. | YANG Shengtian1 & LIU Changming1, 2 1. School of Environmental Sciences, Beijing Normal University, Beijing 100875, China 2. Institute of Geographic Science and Natural Resources Research, Beijing 100101, China | 2004 | Science China(Technological Sciences)2004，47，z1： | 1 |
| 15 | Study of Sand Dunes and Their Effect on Desertification of Cultivated Lands in Shaanxi Province, China Using Remote Sensing Techniques显示文摘About half of the arid and semi arid lands in the world are deserts that comprise various types of aeolian sand dunes deposits. In Shaanxi Province, aeolian sand dunes cover considerable areas of the Yulin desert and northern Jinbian. Sand dunes are moving in the main wind direction and converting some agricultural area to wasteland. Remote sensing of sand dunes helps in the understanding of aeolian process and desertification. Remote sensing data combined with field studies are valuable in studying sand dunes, regional aeolian depositional history. In particular, active and inactive sand dunes of the north Shaanxi Province were studied using remote sensing and geographic information system. In this study, we describe the Landsat thematic mapper (TM) images, covering north Shaanxi Province, which were used to study the distribution, shape, size, trends, density and movement of sand dunes and their effect on desertification of cultivated lands. Estimation was made depending on soil erodibility factor ( Ⅰ ) and local climatic factor ( C ) during the period (June to September). The result indicates that soil erosion caused sand drift of 8.957 5, 7.03 ton for Yulin and Jinbian, respectively. The mean sand dunes movement rate were 4.37, 3.11 m, whereas, monthly sand dune advance rate were 1.092 5, 0.777 5 m, for the two locations, respectively. The study reveals that cultivated lands extended obliquely to the direction of sand dune movement are extremely affected, while other segments that extend parallel to the direction of the movement are not affected. Accordingly the north Shaanxi Province was divided into areas of different classes of potential risk. Moreover, blown sands and sand movement from neighboring highlands also affect the area of western desert. | Mushtak Talib Jabbar Hu Guangdao Chen Jianguo Faculty of Earth Resources, China University of Geosciences, Wuhan 430074 | 2002 | Journal of China University of Geosciences2002，13，3： | 1 |
| 16 | Study on spectral structure of quantum remote sensing显示文摘A study of the use of fine spectral structure in quantum remote sensing, including an expression, begins with a summary of present-day applications of spectrum remote sensing, which is followed by a theoretical discussion of the influence of electronic spin upon hydrogen-like atom energy levels and the calculation of spectral line in the absence of a circumstance field. | BI Siwen HAN Jixia | 2006 | Science China(Technological Sciences)2006，49，z2： | 0 |
| 17 | Study on thermal infrared remote sensing of Yarlung Zangbo River and Bangong Co-Nujiang River suture belt in Qinghai-Tibet Plateau显示文摘The area change of heat abnormity is not in accordance with conclusions of former thermal infrared remote sensing studies of the Qinghai-Tibet Plateau, which were that the temperature of Yarlung Zangbo River suture belt of the southern Plateau is high and the northern temperature is low. The study result in this paper shows that the highest temperature is found in the Bangong Co-Nujiang River suture belt, the Yarlung Zangbo River suture belt temperature is the second highest, and the northern Tibet temperature is the lowest. The study demonstration area was the suture belt areas of the Yarlung Zangbo River and the Bangong Co-Nujiang River in the Qinghai-Tibet Plateau, where the land temperature of the Qinghai-Tibet Plateau and the bore temperature of field land surface were measured and the emissivity of land surface was calculated. In addition, the authors explore the mechanism of the relationship between thermal infrared remote sensing and constructing thermodynamics and reach four new conclusions about the thermodynamics of the Tibet Plateau. | BI Siwen, YAN Hao & WANG Changyao State Key Laboratory of Remote Sensing Sciences, Institute of Remote Sensing Application, Chinese Academy of Sciences, Beijing 100101, China Key Laboratory of Three-Dimensional Information Acquisition and Application, Ministry of Education, Capital Normal University, Beijing 100037, China | 2006 | Science China(Technological Sciences)2006，49，z2： | 0 |
| 18 | Technology Progress Report for Microwave Remote Sensing显示文摘In this presentation, technological progress for China's microwave remote sensing is introduced. New developments of the microwave remote sensing instruments for China's lunar exploration satellite (Chang'E-1), meteorological satellite FY-3 and ocean dynamic measurement satellite (HY-2) are reported. | JIANG Jingshan DONG Xiaolong LIU Heguang | 2004 | 空间科学学报2004，24，z1： | 0 |
| 19 | Study on retrieve specified objects in massive remote sensing data显示文摘In this paper, we show that to retrieve specified objects in massive remote sensing data set is very important in both practice and theory. An algorithm-based content retrieval in the massive data set is studied. To avoid the loss of information, the algorithm based on the Support Vector Machine classification is proposed. Also, the experiment on the real data set is made. | WANG Rongjing CHEN Ping ZHANG Wei | 2005 | Science China Earth Sciences2005，48，z2： | 0 |
| 20 | Study on the damage of the “91.7” rainstorm in Sihu drainage area with remote sensing application technique显示文摘Studyonthedamageofthe“91.7”rainstorminSihudrainageareawithremotesensingapplicationtechniqueYuGuangming(DepartmentofGeography,... | Yu Guangming(Department of Geography, Central China Normal Univerrity, Wuhan 430070, China)Chen Ping Wu Xuejin Wang Chaonan(Department of Geography, Xianning Teachero’ College, Xianning 437005, Hubei Province, China) | 1994 | Journal of Environmental Sciences1994，6，2： | 0 |
您所在的机构暂未开通此部分的功能，请联系管理员