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.     

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...     

多源遥感影像数据融合方法在地学中的应用

应用遥感影像数据融合理论，研究了光学遥感、热红外遥感、微波遥感卫星在地质学中的应用，论述了不同类型的遥感数据及其他地学数据在不同层次上的同一传感器多波段数据融合、不同SAR图像数据融合、HIS变换、遥感影像与地球物理、地质和航磁等数据的融合。结果表明，数据融合技术在突出地质特征信息方面具有能突出线性构造、断裂构造、地形地貌的优势。     

Estimating fraction of photosynthetically active radiation of corn with vegetation indices and neural network from hyperspectral data

The fraction of photosynthetically active radiation(FPAR) is a key variable in the assessment of vegetation productivity and land ecosystem carbon cycles.Based on ground-measured corn hyperspectral reflectance and FPAR data over Northeast China,the correlations between corn-canopy FPAR and hyperspectral reflectance were analyzed,and the FPAR estimation performances using vegetation index(VI) and neural network(NN) methods with different two-band-combination hyperspectral reflectance were investigated.The results indicated that the corncanopy FPAR retained almost a constant value in an entire day.The negative correlations between FPAR and visible and shortwave infrared reflectance(SWIR) bands are stronger than the positive correlations between FPAR and near-infrared band reflectance(NIR).For the six VIs,the normalized difference vegetation index(NDVI) and simple ratio(SR) performed best for estimating corn FPAR(the maximum R2 of 0.8849 and 0.8852,respectively).However,the NN method esti-mated results(the maximum R2 is 0.9417) were obviously better than all of the VIs.For NN method,the two-band combinations showing the best corn FPAR estimation performances were from the NIR and visible bands;for VIs,however,they were from the SWIR and NIR bands.As for both the methods,the SWIR band performed exceptionally well for corn FPAR estimation.This may be attributable to the fact that the reflectance of the SWIR band were strongly controlled by leaf water content,which is a key component of corn photosynthesis and greatly affects the absorption of photosynthetically active radiation(APAR),and makes further impact on corn-canopy FPAR.     

陕西省地(市)级遥感应用系统的设计与实现

从拓宽地（市）局遥感应用服务产品的领域、改善服务产品的形式、提高服务产品水平的角度,提出了适合地（市）级遥感应用系统的建立方法和资料处理流程,使地、市遥感应用进入定量分析的阶段.开发的基于局地数据集的地（市）级遥感应用处理软件, 可同时处理EOS和NOAA、FY卫星接收的数据资料,并可进行植被长势、沙尘暴、干旱等监测.通过配发的遥感数据和应用处理软件将为我省各地（市）初步建立起遥感应用系统.     

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.     

Extraction of altered minerals from Aster remote sensing data in Gongchangling iron deposit of Liaoning,China

The precision of Aster data is higher than that of Landsat series of multispectral remote sensing data, which can more accurately reveal the distribution of altered minerals. It plays an important role in prospecting, but it is rarely used in areas with complex terrain and high vegetation coverage. Based on this purpose, this study used Aster remote sensing data, and took Gongchangling iron deposit as a case study. It combined the mineral spectrum theory and the basic geologic data of the study ...     

Study on model for remote sensing estimation of maize yield

ＳＴＵＤＹＯＮＭＯＤＥＬＦＯＲＲＥＭＯＴＥＳＥＮＳＩＮＧＥＳＴＩＭＡＴＩＯＮＯＦＭＡＩＺＥＹＩＥＬＤＬｉｕＺｈａｏｌｉ（刘兆礼）ＨｕａｎｇＴｉｅｑｉｎｇ（黄铁青）ＷａｎＥｎｐｕ（万恩璞）ＺｈａｎｇＹａｎｇｚｈｅｎ（张养贞）ＣｈａｎｇｃｈｕｎＩｎｓｔｉ...     

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...     

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

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