Study on model for remote sensing estimation of maize yield

Through analysis of perpendicular vegetation index (PVI) from combination of visible and near-infrared spectrums reflecting the feature of crop reflectance, we come to the conclusion that the index can better indicate crop instantaneous photosynthesis whereas people generally regard it as the representation of crop leaf area index (LAI). Exploration of crop photosynthesis within a day and its period of duration leads to production of photosynthetic vegetation index (PST) that can reflect the whole crop accumulated photosynthesis, which means the total biomass produced by crop, moreover the method simulating PST is put forward by employment of multi-temporal spectrum parameters. On the basis of the achievements mentioned above, a new comprehensive model for remote sensing estimation of maize yield is established, which can comprehensively show major physiological actions of maize and the course of its yield formation, organically integrate various effective ways of crop yield estimation. It lays a solid foundation for carrying out remote sensing estimation of maize yield on a large scale.     

STUDY ON GIS FOR YIELD ESTIMATION BY REMOTE SENSING IN JILIN MAIZE BELT

ＳＴＵＤＹ　ＯＮ　ＧＩＳ　ＦＯＲ　ＹＩＥＬＤ　ＥＳＴＩＭＡＴＩＯＮ　ＢＹ　ＲＥＭＯＴＥ　ＳＥＮＳＩＮＧ　ＩＮ　ＪＩＬＩＮ　ＭＡＩＺＥ　ＢＥＬＴＳＴＵＤＹＯＮＧＩＳＦＯＲＹＩＥＬＤＥＳＴＩＭＡＴＩＯＮＢＹＲＥＭＯＴＥＳＥＮＳＩＮＧＩＮＪＩＬＩＮＭＡＩＺ...     

APPLICATION OF REMOTE SENSING TECHNOLOGY TO POPULATION ESTIMATION

This paper attempts to explore a new avenue of urban small-regional population estimation by remote sensing technology, creatively and comprehensively for the first time using a residence count method, area (density)method and model method, incorporating the application experienqe of American scholars in the light of the state of our country. Firstly, the author proposes theoretical basis for population estimation by remote sensing, on the basis of analysing and evaluating the history and state quo of application of methods of population estimation by remote sens-ing. Secondly, two original types of mathematical models of population estimation are developed on the basis of remote sensing data, taking Tianjin City as an example. By both of the mathematical models the regional population may be estimated from remote sensing variable values with high accuracy. The number of the independent variables in the lat-ter model is somewhat smaller and the collection of remote sensing data is somewhat easier, but the deviation is a little larger. Finally, some viewpoints on the principled problems about the practical application of remote sensing to popu-lation estimation are out forward.     

Remote sensing based estimation system for winter wheat yield in North China Plain

1IN~IOXChinaisabigagriculturalcountrywithaverylargePOPulation.ChinesegovernmentattacheSgreatimportancetomdproduction.Anobviousapplicationofsatelliteremotesensing,withitsregularsynOPticcoverage,istOmonitoragriculturalpefforrnance.CropyieldestimationhaSbeenoneofthemainapplicationsofspaceremotesensingtechnologysincethelaunchingofhighrefutionsatellite-Landsat.Forgaininginformationofcropsproductionintime,StatePlanning~ssionsetupanationalkeyprojectduringtheeighthfiveyearplanPened(1991--1995)c…     

A method for surface roughness parameter estimation in passive microwave remote sensing

Surface roughness parameter is an important factor and obstacle for retrieving soil moisture in passive microwave remote sensing.Two statistical parameters,root mean square (RMS) height (s) and correlation length (l),are designed for describing the roughness of a randomly rough surface.The roughness parameter measured by traditional way is independence of frequency,soil moisture and soil heterogeneity and just the ″geometric″ roughness of random surface.This ″geometric″ roughness can not fully explain the scattered thermal radiation by the earth's surface.The relationship between ″geometric″ roughness and integrated roughness (contain both ″geometric″ roughness and ″dielectric″ roughness) is linked by empirical coefficient.In view of this problem,this paper presents a method for estimating integrated surface roughness from radiometer sampling data at different frequencies,which mainly based on the flourier relationship between power spectral density distribution and spatial autocorrelation function.We can obtain integrated surface roughness at different frequencies by this method.Besides "geometric" roughness,this integrated surface roughness not only contains "dielectric" roughness but also includes frequency dependence.Combined with Q/H model the polarization coupling coefficient can also be obtained for both H and V polarization.Meanwhile,the simulated numerical results show that radiometer with a sensitivity of 0.1 K can distinguish the different surface roughness and the change of roughness with frequency for the same rough surface.This confirms the feasibility of radiometer sampling method for estimating the surface roughness theoretically.This method overcomes the problem of ″dielectric″ roughness measurement to some extent and can achieve the integrated surface roughness within a microwave pixel which can serve soil moisture inversion better than the ″geometric″ roughness.     

Study on forest fire danger model with remote sensing based on GIS

1　ＩＮＴＲＯＤＵＣＴＩＯＮＡｓａｎｉｍｐｏｒｔａｎｔｃｏｍｐｏｎｅｎｔｏｆｔｈｅｇｌｏｂａｌｔｅｒｒｅｓ ｔｒｉａｌｅｃｏｓｙｓｔｅｍｓ ,ｆｏｒｅｓｔｌｉｎｋｓｔｈｅａｔｍｏｓｐｈｅｒｅ ,ｓｏｉｌａｎｄｗａｔｅｒｔｏｇｅｔｈｅｒｔｈｒｏｕｇｈｉｔｓｐｏｗｅｒｆｕｌｅｃｏｌｏｇｉｃａｌｆｕｎｃ ｔｉｏｎ .Ｉｎｒｅｃｅｎｔｙｅａｒｓ,ｏｗｉｎｇｔｏｔｈｅｇｌｏｂａｌｗａｒｍｉｎｇａｎｄｈｕｍａｎｉｎｆｌｕｅｎｃｅ ,ｆｏｒｅｓｔｆｉｒｅｏｃｃｕｒｍｕｃｈｍｏｒｅｆｒｅｑｕｅｎｔｌｙ .Ｔｈｅａｎｎｕａｌｆ…     

Regionalization for large area crop estimates by remote sensing

The crop estimates by remote sensing, developing quickly in recent decades, is a up-to-date technique. Regionalization for large area crop estimates by remote sensing, a special applied regionalization, is the foundation of crop estimates in a large area by remote sensing. According to the actual demands of wheat yield estimation by remote sensing and wheat agroclimatic demarcation of China, this paper first puts forward some principles upheld in this regionalization and analyses its main bases. Secondly, it works out the classificatory schemes about the optimum temporal for estimating wheat yield by remote sensing, information sources of space remote sensing and landuse structure in China. Finally, According to the regionalization indices, this study divides the wheat plantable region of China into 14 regions of crop yield estimates and 31 subregions of crop yield estimates.     

Literature analysis of Dendrolimus disasters based on remote sensing monitoring

Due to global climate change, Dendrolimus pests and diseases seriously threaten the protection of forestry plants and the safety of crops all over the world. This paper aims to discuss the research results and frontier progress of Dendrolimus disasters based on remote sensing monitoring, trying to find the occurrence characteristics of pests. In this paper, bibliometric methods and CiteSpace knowledge graphs were used to analyze the publication trend, highly cited documents, key research institu...     

Study on the correlation between chlorophyll maximum and remote sensing data

Based on the in situ optical measurements in the Bohai Sea of China, which belongs to a typical case-2 water area, we studied the characteristics of DCM （deep chlorophyll maximum） such as its spatial distribution, vertical profile, etc. We found that when the depth of the chlorophyll maximum is comparatively small, even in turbid coastal water regions, there is always a good correlation between the concentrations of chlorophyll maximum and the satellite-received signals in blue-green spectral bands; the correlation is even better than that between the surface chlorophyll concentrations and the satellite-received signals. The strong correlation existing even in turbid coastal water regions indicates that an ocean color model to retrieve the concentration of DCM can be constructed for coastal waters if a comprehensive knowledge of the vertical distribution of chlorophyll concentration in the Bohai Sea of China is available.     

A study on wetland classification model of remote sensing in the Sangjiang plain

1　ＩＮＴＯＤＵＣＴＩＯＮＷｅｔｌａｎｄｃａｎｐｅｒｆｏｒｍｅｎｏｒｍｏｕｓｆｕｎｃｔｉｏｎｓｉｎｒｅ ｓｏｕｒｃｅａｎｄｅｎｖｉｒｏｎｍｅｎｔａｄｊｕｓｔｍｅｎｔ ,ａｎｄｉｔｉｓｏｎｅｏｆｔｈｅｉｍｐｏｒｔａｎｔｅｃｏｌｏｇｉｃａｌｅｎｖｉｒｏｎｍｅｎｔｓｔｈａｔｈｕｍａｎｂｅ ｉｎｇｓｒｅｌｙｏｎ .Ｉｎｔｅｒｎａｔｉｏｎａｌｃｏｍｍｕｎｉｔｉｅｓｈａｖｅａｌｒｅａｄｙｐａｉｄ ｇｒｅａｔａｔｔｅｎｔｉｏｎｔｏｔｈｅｗｅｔｌａｎｄｒｅｓｅａｒｃｈ ,ａｎｄｓｏｍｅｆｏｒｅｉｇｎｅｒｓｈａｖｅｄｏｎｅ…     

ANALYSIS ON SPATIAL FEATURES OF LUCC BASED ON REMOTE SENSING AND GIS IN CHINA

In view of the large quantities of areas,complex landform and dynamic change of resources and environ-ment in China,China has already funded abundantly a series of macro remote sensing investigation projects in land use cover change(LUCC) since 1990.Supported by the achievements of such projects,Chinese resources,environmental and remote sensing database(CRERS) was created.In this paper,we standardized the LUCC dataset of CRERS at scale of 1km,which facilitated the study of spatial features of LUCC in China.The analysis on the spatial features of LUCC and their causes of formation in China are based on the CRERS supported by the technologies of Geographic Information System(GIS) .The whole research was based on the grade index of land use,ecological environmental index and index of population density.Based on the correlation analysis,we found that the special features of LUCC were closely related with those of ecological environment and population density,which resulted form that areas with better ecological environ-ment and high production potential of land were easy and convenient for human being to live,which,furthermore,led to the aggravation of excessive exploitation of land resources there.     

Advances in Research on Soil Moisture by Microwave Remote Sensing in China

Soil moisture is an important factor in global hydrologic circulation and plays a significant role in the research of hydrology, climatology, and agriculture. Microwave remote sensing is less limited by climate and time, and can measure in large scale. With these characteristics, this technique becomes an effective tool to measure soil moisture. Since the 1980s, Chinese researchers have investigated the soil moisture using microwave instruments. The active re- mote sensors are characteristic of high spatial resolution, thus with launch of a series of satellites, active microwave remote sensing of soil moisture will be emphasized. The passive microwave remote sensing of soil moisture has a long research history, and its retrieval algorithms were developed well, so it is an important tool to retrieve large scale moisture information from satellite data in the future.     

基于遥感资料的陕北黄土高原植被覆盖率时空特征分析

选取黄土高原的典型区域--陕北作为监测区域,以MODIS和TM资料作为主要数据源,从可业务化的角度采用植被指数法进行了植被覆盖率的遥感反演,对4种生态气候区植被覆盖率季相变化特征进行了分析,并对陕北生态环境治理前后植被覆盖率的变化进行了对比,结果表明:生态治理后陕北黄土高原的植被覆盖率绝大多数地区都是正增长,各生态气候区植被覆盖状况都有了不同程度的改善,生态治理效果最明显的区域在陕北南部.     

SHALLOW SEAWATER DEPTH RETRIEVAL BASED ON BOTTOM CLASSIFICATION FROM REMOTE SENSING IMAGERY

Remote sensing technique, replacing conventional sonar bathymetry technique, has become an effective complementary method of mapping submarine terrain where special conditions make the sonar technique difficult to be carried out. At the same time, as one kind of data set, multispectral remote sensing data has the disadvantage of being influenced by the variable bottom types in shallow seawater, when it is applied in bathymetry. This paper puts forward a new method to extract water depth information fi‘om multispectral data, considering the bottom classification and the true water depth accuracy. That is the Principal Component Analysis (PCA) technique based on the bottom classification. By the least square regression with significance, the experiment near Qingdao City has obtained more satisfactory bathymetry accuracy than that of the traditional single-band method, with the mean absolute error about 2.57m.     

Study on transmission mechanism of thermal infrared remote sensing for abrupt geothermal anomaly in volcanic region

Ｇｅｏｔｈｅｒｍａｌａｎｏｍａｌｙｉｓａｐｈｅｎｏｍｅｎｏｎｔｈａｔｕｎｄｅｒｇｒｏｕｎｄｔｅｍｐｅｒａｔｕｒｅａｎｄｇｅｏｔｈｅｒｍａｌｇｒａｄｉｅｎｔｉｎｃｒｅａｓｅｓｍｕｃｈｍｏｒｅｉｎｔｈｅａｒｅａｔｈａｎｉｔｓｓｕｒｒｏｕｎｄｉｎｇｓ（Ｘｉａ,１９７９）．Ａｂｒｕｐｔｇｅｏｔｈｅｒｍａｌａｎｏｍａｌｙｍｅａｎｓｔｈａｔｕｎｄｅｒｇｒｏｕｎｄｔｅｍｐｅｒａｔｕｒｅｏｎｓｏｍｅｓｐｏｔｓａｓｗｅｌｌａｓｔｈｅａｆｆｅｃｔｅｄｔｅｍｐｅｒａｔｕｒｅｏｆｓｕｒｒｏｕｎｄｉｎｇａｒｅａａｂｒ…     

Object-oriented crop classification based on UAV remote sensing imagery

UAV remote sensing images have the advantages of high spatial resolution, fast speed, strong realtime performance, and convenient operation, etc., and have become a recently developed, vital means of acquiring surface information. It is an important research task for precision agriculture to make full use of the spectrum, texture, color and other characteristic information of crops, especially the spatial arrangement and structure information of features, to explore effective methods for the cla...     

Atmospheric radiative transfer simulation for atmospheric correction of remote sensing data

IntroductionThe radiance leaving the earth-atmosphere sys-tem which can be sensed by a satellite borne ra-diometer is the sum of radiation emission fromtheearth surface and each atmospheric level that aretransmittedtothe top of the atmosphere.The radia-tion emissionfromthe earthsurface andthe radianceof each atmospheric level can be separated fromtheradiance at the top the atmospheric level a satellitemeasured.Thus,the earth surface parameters willbe retrieved from the surface radiance after a…     

Atmospheric radiative transfer simulation for atmospheric correction of remote sensing data

The radiance leaving the earth-atmosphere system which can be sensed by a satellite borne radiometer is the sum of radiation emission from the earth surface and each atmospheric level that are transmitted to the top of the atmosphere. The radiation emission from the earth surface and the radiance of each atmospheric level can be separated from the radiance at the top the atmospheric level measured by a satellite borne radiometer. However, it is very difficult to measure the atmospheric radiance, especially the synchronous measurement with the satellite. Thus some atmospheric radiative transfer models have been developed to provide many options for modeling atmospheric radiation transport, such as LOWTRAN, MODTRAN, 6S, FASCODE, LBLRTM, SHARC, and SAMM. Meanwhile, these models can support the detailed detector system design, the optimization and evaluation of satellite mission parameters, and the data processing procedures. As an example, the newly atmospheric radiative transfer models, MODTRAN will be compared with other models after the atmospheric radiative transfer is described. And the atmospheric radiative transfer simulation procedures and their applications to atmospheric transmittance, retrieval of atmospheric elements, and surface parameters, will also be presented.     

FRAME DESIGN OF REMOTE SENSING MONITORING FOR VOLCANIC ACTIVITIES IN CHANGBAI MOUNTAINS

Volcanic eruption is one of the most serious geological disasters, however, a host of facts have proven that the Changbai Mountains volcano is a modem dormant one and has ever erupted disastrously. With the rapid development of remote sensing technology, space monitoring of volcanic activities has already become possible, particularly in the application of thermal infrared remote sensing. The paper, through the detailed analysis of geothermal anomaly factors such as heat radiation, heat conduction and convection, depicts the monitoring principles by which volcano activities would be monitored efficiently and effectively. Reasons for abrupt geothermal anomaly are mainly analyzed, and transmission mechanism of geothermal anomaly in the volcanic regions is explained. Also, a variety of noises disturbing the transmission of normal geothermal anomaly are presented. Finally, some clues are given based on discussing thermal infrared remote sensing monitoring mechanism toward the volcanic areas.     

THE DYNAMIC MONITORING OF HORQIN SAND LAND USING REMOTE SENSING

Hurqin Sand Land is regarded as the typical region for studying the problem of desertification.The integra-tion of 3S(GIS,GPS and RS)techniques offer a most helpful method to study and monitor the dynamics of desertification.Based on the data derived from 3 periodsˊmultitemporal Landsat TM imagery of the 1990s,the regional land use and dynamo-ics of desertification in Horqin Sand Land were studied.The main results revealed that :1)as long as the general change tendency was concerned,the desertification of Horqin Sand Land would continue to spread;2)there was a gradual de-crease in the area of both moving sand dunes and semi-stabilized ones,which meant that fruitful progress had been made to control the desertification during the 1990s;3)as a result of unreasonable cultivation,the total area of stabilized sand dunes and grassland in the middle and western region decreased obviously.It suggested that the increasing damage caused by human was leading to the hazard of further desertification.So in the future,it is necessary to take more effect-tive measures to control the spread of desertification and restore the degraded ecosystems for the purpose of optimizing the global eco-environment in Horqin Sand Land.