Zhongguo ren min kang Ri zhan zheng ji nian guan cang zhen xi kang zhan wen xian hui kan

Table of contents for "Zhongguo ren min kang Ri zhan zheng ji nian guan cang zhen xi kang zhan wen xian hui kan

Study on LAI estimation of broadleaf forests in arid areas using digital hemispherical photography

The values of leaf area index (LAI) were optically measured with digital hemispherical photography in deciduous Populus euphratica Oliv forests in the Tarim River Basin, China, and then they are estimated and analyzed. Circular fisheye photography was compared with another alternative indirect method (cover photography) for estimating LAI,. The purpose of the study was to develop a practical estimation mode for measuring and estimating LAI in arid areas. The results derived by the rapid and automatic analysis of cover images using WinSCANOPY 2006 are similar to that derived by the manual image analysis using Adobe Photoshop. Estimated results of LAI from cover photography are more ideal than that from circular fisheye photography to correlate with LAI from destructive sampling

China’s Scientific & Technological Actions on Climate Change

Text outlining a plan distributed by a number of agencies in China describing how the government will address specific science and technological actions related to China's National Climate Change Programme (CNCCP). The sections detail the current status of climate change; China's achievements in science and technology on this issue; guidelines, principles, and targets; key tasks to address the issue; and measures to enforce the actions

Assimilation of sparse crown by using GO and GORT model with Remotely Sensed in the Tarim River Basin, Xinjiang, China - art. no. 67492G

The sparse crown along both riversides of the Tarim River plays an important role in firming the sand and restraining the desertification. It is very difficult to obtain the spectrum information from the remotely sensed data because of the low percentage of coverage of the sparse vegetation, which affects the classification accuracy of the identification of ground objects and the extraction of vegetation biophysics. It is a key obstruction in developing the quantification of the RS technology. Taking the sparse vegetation at the Tarim River Basin as the research object, this paper predicts the surface bidirectional reflectance of the discontinuous plant canopies in the extremely and based on the observed ground spectrum. Two different approaches are presented for the tree and the shrub. The first is to simulate the spectrum of the tree with the Geometric Optical-Radiative Transfer model based on ground observation. In the second approach,the spectral responses of sparse shrub and bare soil have been simulated using the linear Geometric Optical (GO) model. Comparing the simulated bidirectional reflectance with actual remote sensing data (EO-I), the spectral differences of these data are analyzed

Hyperspectral indices for leaf and pixel chlorophyll estimation in open-canopy tree - art. no. 675222

In this paper, the goal is to found indices; best for Cab estimation with leaves and heperion pixels. There are several indices chosen, which showed best results for Cab estimation at both leaf and canopy levels in other studies. Forty-eight typical leaves were sampled in middle and lower reach of the Tarim River, Xinjiang, China. Leaf reflectance and Chlorophyll of leaves collected. Result demonstrated that Indices such as red edge and derivative indices R750/R710, R740/R720, (R734-R747)/(R715+R720), Blog(1/R737), D715/D705,(R734-R747)/(R715+R726), (R694-R680)/(R732-R760) were shown to be the good indicators for Cab estimation at leaf. Hyperion data were acquired for Aqike section in the middle reaches of the Tarim River in Nine 28, 2006. Field data were collected at same day to coincide with the Hyperion, including Chlorophyll of each tree, LAI, green vegetation cover. LAI derived from scanopy 2006. Inventory field plots were 120mx120m quadrants, and Chlorophyll of pixel is deduced from field data of 360 trees. Generally good results are found for Cab estimation at pixel level with indices such as, (R734-R747)/(R715+R726), Blog(1/R737), (R694-R680)/(R732-R760), TCARI, TCARI/OSAVI, MCARI/OSAVI and so on. It was found that (R734-R747)/(R715+R720), Blog(1/R737), D715/D705, (R734-R747)/(R715+R726), (R694-R680)/(R732-R760),R740/R720 were successfully test on leaves and piexls. On the other hand, the "modified" indices (TCARI, MCAVI, TCARI/OSAVI, MCARI/OSAVI) already give good results at. the piexl level

Estimation on Aesthetic Value of Tourist Landscapes in a Natural Heritage Site: Kanas National Nature Reserve, Xinjiang, China

Most world natural heritage sites are designated partly by reason of their prominent aesthetic values in accordance with Article VII of World Natural Heritage Convention. In this paper, the aesthetic values of Kanas National Nature Reserve, which has potential for Such designation, was analyzed quantitatively using scenic beauty estimation (SBE). The landscapes of 19 representative scenic spots in the Kanas National Nature Reserve in summer and autumn were selected as the objects of evaluation. The contributions of different landscape factors to the aesthetic value of the Kanas National Nature Reserve were revealed using a multivariate quantitative model. The main factors affecting the aesthetic value were waterscapes, vegetation, mountains, folk culture and the tourist environment. The t-test and F-test results are extremely significant. According to the results, some suggestions were given for conserving the landscapes in the Kanas National Nature Reserve

Analysis of the spectral response of flourishing-withering vegetation changes based on ground spectral measurements

A structural mode was used to characterize vegetation composition at the plant leaf level and a flourishing-withering ratio was developed. The spectral responses of vegetation with different flourishing-withering ratios were analyzed,: the change rates of the chlorophyll and moisture content indices of vegetation with different flourishing-withering ratios were compared, and correlations between the chlorophyll and moisture content indices were analyzed. The results reveal that leaves with an intermediate flourishing-withering ratio can increase the absorption signatures of vegetation and that band ranges of 570-700 nm and 1300-1540 nm can play a role in indicating changes in the flourishing-withering ratios of vegetation; NPQI, NPCI, R-695/R-420, R-695/R-760, R-750/R-700, the peak-value area of red: selvedge, the red selvedge amplitude, the ratio between the red selvedge amplitude and the minimum, amplitude, and the NDVI of vegetation change regularly with the change in flourishing-withering ratios, and these nine vegetation indices are highly related to the chlorophyll content. Vegetation indexes of NDWI and PRI are very sensitive to the flourishing-withering change in vegetation and are closely related to the moistures content, and the correlation coefficient is higher than 0.9. The derivative of the spectra is more effective in describing changes in the structural mode of vegetation with different! flourishing-withering ratios, especially at band ranges of 552-628 nm and 630-686 nm, and it is more, sensitive to the mixed flourishing-withering ratios of leaves rather than to the vegetation indices. The red selvedge position in the spectrum is highly related to the chlorophyll content and is not sensitive to: changes in the structural mode of mixed flourishing-withering leaves. The red selvedge parameters are sensitive to changes in the flourishing-withering ratio at the peak-value area of the red selvedge amplitude and the ratio between the red selvedge amplitude and the minimum amplitude. The effect of a sand background on the spectrum of withering leaves is higher than that of flourishing leaves; the effect of a sand background increases with increasing proportions of withering leaves, the superposition effect of the sand background on mixed flourishing-withering leaves is about 7% at visible light bands of 400-700 nm and 1300-1540 nm, and is over 10% at the near infrared band range of 700-1300 nm