[Division of winter wheat yield estimation by remote sensing based on MODIS EVI time series data and spectral angle clustering].

Crop yield estimation division is the basis of crop yield estimation; it provides an important scientific basis for estimation research and practice. In the paper, MODIS EVI time-series data during winter wheat growth period is selected as the division data; JiangSu province is study area; A division method combined of advanced spectral angle mapping(SVM) and K-means clustering is presented, and tested in winter wheat yield estimation by remote sensing. The results show that: division method of spectral angle clustering can take full advantage of crop growth process that is reflected by MODIS time series data, and can fully reflect region differences of winter wheat that is brought by climate difference.

[Evaluation of remote sensing extraction methods for vegetation phenology based on flux tower net ecosystem carbon exchange data].

Taking the vegetation phenological metrics derived from the net ecosystem carbon exchange (NEE) data of 72 flux towers in North America as the references, a comprehensive evaluation was conducted on the three typical classes of remote sensing extraction methods (threshold method, moving average method, and function fitting method) for vegetation phenology from the aspects of feasibility and accuracy. The results showed that the local midpoint threshold method had the highest feasibility and accuracy for extracting vegetation phenology, followed by the first derivative method based on fitted Logistic function. The feasibility and accuracy of moving average method were determined by the moving window size.

[Winter wheat area estimation with MODIS-NDVI time series based on parcel].

Several attributes of MODIS (moderate resolution imaging spectrometer) data, especially the short temporal intervals and the global coverage, provide an extremely efficient way to map cropland and monitor its seasonal change. However, the reliability of their measurement results is challenged because of the limited spatial resolution. The parcel data has clear geo-location and obvious boundary information of cropland.

[Effects of Prostate Water Pellets on the number of colonies, NO concentration and NOS activity in the prostate tissue of CBP rats].

Objective: To investigate the effects of Prostate Water Pellets (PWP) on the number of colonies, NO concentration and NOS activity in the prostate tissues of rats with chronic bacterial prostatitis (CBP).

Methods: A total of 120 healthy adult male Wistar rats weighing 250-300 g were equally randomized into 6 groups: blank control, model control, positive control, high-dose PWP, medium-dose PWP and low-dose PWP. The CBP rat models were established by injecting colibacilli (10(7)/ml) into the prostate.

[Farmland parcel extraction based on high resolution remote sensing image].

A new method of farmland parcel extraction from high resolution remote sensing image based on wavelet and watershed segmentation was proposed in the present paper. First, classification results were used to enhance the contrast of gray-scale value of typical pixels in the original image using the high resolution remote sensing image's spectral information. Second, wavelet transform and watershed segmentation were applied to the enhanced image, then improved region merger algorithm was used to solve the problem of over-segmentation.

[Estimation of vegetation coverage based on an improved sub-pixel model].

Vegetation coverage is an important parameter in terrestrial ecological process, meteorological, and climatic models. By eliminating the errors from the precision of image classification and the noises of remote sensing images, and by using the actual data from fieldwork, this paper determined the maximum and minimum values of normalized difference vegetation index (NDVI), improved the sub-pixel model, and verified this model by calculating the vegetation coverage of Beijing. The results showed that the estimation value of the improved model was very close to the measurements, especially for the herbaceous plants whose vegetation types were the same but the densities were different.

[Biomass structure analysis of Atractylodes lancea in different ecological environments].

Objective: To study the ecological environments of Atractylodes lancea by biomass structural analysis.

Method: Through the scientific investigation in Maoshan, the sampling spots were set up, the relation between growth and ecological environments was researched and the ecological environments of A. lancea were divided as following: the vegetation layer, the shrub layer, the shrub-weed layer and the weed layer.

[Analysis in distribution of Atractylodes lancea at Maoshan regions].

Objective: To Investigate the distribution of Atractylodes lancea at Maoshan regions.

Methods: To combine the plot sampling with GIS technology in the analysis of distribution and its factors.

Results: The biomass of Atractylodes lancea was related to the growth of Ouercus serrata var.

[Comparing of different methods on habitat adaptive division of Chinese material medica].

Objective: To comparing two kinds habitat adaptive division of Chinese material medica with different models.

Method: The habitat adaptive divisions of A. lancea according essential oil accumulation with two kinds pattern, model pattern and template pattern were carrid and compared.

[Remote sensing resource monitoring on Atractylodes lancea].

Remote sensing technology was used for investigation of the resources of Atractylodes lancea. Firstly, the general situation of Jiangshu Maoshan and A. lancea in Maoshan was introduced; Secondly, the methods of remote sensing on the resource of the wild drugs were explained.

[Study on dynamical changes of Ginkgo biloba resources in Pizhou city of Jiangsu Province base on RS and GIS].

Objective: To analyse the dynamical changes of the Ginkgo biloba's resources from 2001 to 2006, in Pizhou city, Jiangshu province by useing spatial analytical function of GIS and RS technology.

Method: Use the GIS and RS technology, extracted the information of G. biloba by scientific investigation, researched the spatial distribution and dynamical changes of G.

[Remote sensing monitoring methods for medicinal plants resource in different types of ecological environment].

Different remote sensing monitoring methods are needed for the medicinal plant resource in different types of ecological environment. This paper explained remote sensing monitoring methods for the resource of the wild medicinal plants and cultivated plants, and analyzed the rare species, generous species and species in special ecological environment in detail. It provides a new method to all kind of medicinal plants resources' remote sensing monitoring.

[Optimizing management on degraded grassland in Xilin River Basin based on ecological risk assessment].

By the methods of remote sensing (RS) and geographic information system (GIS), and based on the estimations of degradation degree, risk degree and easy-restoration degree of degraded grasslands, an ecological management index (EMI) model of grassland was established to approach the practical ways of optimizing management of degraded grassland. A case study in the Xilin River Basin of Inner Mongolia showed that this model could quantitatively analyze the degradation degree, risk degree and easy-restoration degree of the grasslands under different optimizing management levels, which was of significance for applying rational measures with pertinence, and beneficial to the optimal allocation of resources during the management of degraded grassland. The EMI model could integrate most concerned information, which made it applicable widely.

[Measurement and dynamic analysis of ecological capital of terrestrial ecosystem in China].

Based on remote sensing and ecological principles, an estimation model of ecological capital was established in this paper. The estimation showed that the ecological capital of terrestrial ecosystem in China was 8.148, 10.