利用ETM多光谱数据与SPOT5全色数据相融合进行森林资源调查

以ETM多光谱数据与SPOT5全色数据融合的遥感图像为对象,利用遥感图像和地面调查相结合的方法对吉林省东部山区进行森林资源调查,既可节约成本,又可提高调查精度,为遥感技术应用于森林资源调查设计探索了经验。     

基于SPOT5多光谱影像和近期航摄影像的土地利用动态监测方法研究

在国内外土地利用动态监测研究与应用中,受遥感影像分辨率的限制,能满足较大比例尺的土地利用动态遥感监测的还较少.该文以浙江省宁波市鄞州区区域内一块试验区为例,利用SPOT5多光谱影像,结合近期航片,通过特征变异法,进行1∶1万土地利用动态遥感监测.试验结果表明,应用航片与卫片融合的新方法,进行土地利用动态监测是可行的.     

西南地区立枯丝核菌菌丝融合群及其生态学研究

从川、滇、黔、藏的代表地区，采集植物及土壤样品８１２份，分离出具丝核菌特征的菌株３６１株。根据菌丝细胞宽度，细胞核数目等，鉴定出立枯丝核菌（ＲｈｉｚｏｃｔｏｎｉａｓｏｌａｎｉＫｕｈｎ）２２９株，双核丝核菌１３２株。将立枯丝核菌分离菌与已知融合群菌株分别配对进行菌丝融合试验，结果有２０７株分属于ＡＧ－１，ＡＧ－２，ＡＧ－３，ＡＧ－４，ＡＧ－５，ＡＧ－６，ＡＧ－７７个菌丝融合群。其中ＡＧ－４频率最高（６７．７），ＡＧ－１次之（２２．７）。ＡＧ－６，ＡＧ－７为我国首次记录。还有２２株不与现有已和融合群发生融合。立枯丝核菌在西南地区地理分布很广，寄主或基物种类多。在海拔３００－３７６０ｍ的高度范围及ｐＨ５－８的土壤中都有发现，但在３００－１０００ｍ的高度，ｐＨ６－７．５及０－１０ｃｍ的土壤中分布更丰富。季节变化对土壤中主要融合群的分布无显著影响。     

子叶与外施蔗糖对豌豆幼苗生长及插条生根的影响

将豌豆（ＰｉｓｕｍｓａｔｉｖｕｍＬｉｎ．）种子播种在纯石基质中，于４０μｍｏｌｍ~（－２）Ｓ~（－１）光强、１６小时光周期和２２℃恒温条件下发芽和幼苗生长。分别于播种后４—１１天除去子叶。取１１天苗龄的插条在水培营养液中诱导生根。结果表明：幼苗高度、第三节长度、鲜重及干重均随去子叶的时间推迟而显著增加，插条生根力随幼苗生长量的增加而提高。去子叶后幼苗外施蔗糖表明：第５天去子叶的，幼苗高度和第三节长度随蔗糖浓度升高而明显增加，但过高的蔗糖浓度（４．０％）显著降低幼苗第三节长度，插条根量在２．０％蔗糖的浓度下最高。第８天去子叶的，幼苗外施蔗糖的效果显著高于未施蔗糖的，但不同蔗糖浓度间差异不明显。第５天去子叶的插条根量在０．５—０．７％的蔗糖生根液中显著高于其它处理，但平均根长度以０．９％的蔗糖浓度最高。第８天去子叶的，插条根量在０．３％蔗糖生根液下最高，平均根长随蔗糖浓度升高（０—０．９％）而显著增加。本文就子叶与外施蔗糖对豌豆生长及插条不定根形成的影响进行了讨论。     

小麦品种对土传小麦黄色花叶病毒病抗性遗传的初步研究

本试验通过杂交、回交和抗病性鉴定等方法,测定了14个组合的F_1代对土传小麦黄色花叶病毒病的抗性遗传。根据双亲正反杂交表现型一致的结果,可以确定控制小麦品种对该病毒病的抗性为细胞核遗传。通过对F_1、F_2、BC_1及BC_2各代群体抗病株和感病株分离比值的分析,初步确定有关土传小麦黄色花叶病毒病的抗性遗传可能受两对致病显性基因(S_1、S_2),和一对抑制基因(I)所控制,作者并对这一问题与前人工作作了比较和讨论。     

浅谈中职农业学校猪病防治教学改革

在新形势下,为了使学生掌握扎实的猪病防治理论知识和熟练的操作技能,适应社会需要,本文对目前一些中职农业学校猪病防治课程教学现状及存在问题做了一些分析,并提出了一些改革设想。     

基于EOS/MODIS数据的抚远县水稻面积提取技术研究

为获取黑龙江省大范围的水稻种植空间分布及面积等信息,指导水稻生产,以抚远县为研究区域,利用EOS/MODIS数据进行水稻面积提取研究。结果表明:抚远县水稻面积309 513.32hm2。水稻种植区域精度较高的图框区域集中在抚远县中部及南部地区,这些地区水稻种植比较集中,且所占比例很高,其它作物较少,对混合像元的精度影响小;精度较低的图框主要集中在北部地区,这与实际情况相符合,水稻种植较零散且其它混种作物种类及荒草类别比较复杂,混合像元分类精度较低。     

A method for mapping the distribution of willow at a catchment scale using bi-seasonal SPOT5 imagery

This study showed that seasonal imagery acquired at specific stages of phenology can be used to improve the mapping accuracy of invasive willow at a catchment scale. SPOT5 XI (10 m) satellite imagery was acquired for early autumn and winter to represent the phenological stages of leaf cover and leaf fall respectively. Four classification regimes were evaluated using single‐ and bi‐seasonal composite imagery to determine the most accurate method. Significant spectral noise was found in willow populations, especially in the winter image, due to the effects of undergrowth exposure, shadowing, topography and boundary‐mixed pixels. Two noise reduction techniques were applied to the bi‐seasonal composite image to improve the classification results. The noise‐reduced bi‐seasonal composite image was classified using the spectral angle mapper (SAM) algorithm before importation into a geographical information system. Aerial photography was used to reduce the errors of commission associated with misclassification of pastures. The class accuracy achieved for willow using the method described in this study was 77.5% (Kappa =0.87). The high cost of eradicating willow means that managers must establish priorities for control; this technique can provide a powerful tool for prioritizing control programmes and for monitoring results at a catchment scale.     

Seasonal chemical composition of wall barley (Hodreum murinum L.) under sub-humid Mediterranean climate

Wall barley (Hodreum murinum L.) is an annual cool-season grass species that grows in areas with a Mediterranean climate. It has potential as a forage source in Jordan. The objective was to determine seasonal chemical composition of wall barley grown under sub-humid Mediterranean conditions. A field trial was conducted during 2000 and 2001 growing seasons at Samta (32°23'N, 35°50'E) in the Ajloun Mountains, Jordan. Data were collected on 28 February, 15 March, 30 March, 15 April and 15 May. The lowest fibre content of leaves was on 28 February and 15 March, with a range of 19.5% to 23.3%. Fibre content of leaves (73.3%) and stems (79.9%) peaked when the plants were mature (15 May). In contrast to fibre, the protein content decreased gradually with age. Protein content of the leaves on 28 February was 25%, after which it declined gradually and reached 2.9% at maturity. The calcium content of the leaves was higher than that of the stems and was sufficient to meet ewes' maintenance requirements. The Ca content of leaves during the period from 28 February to 30 March was 1.2% to 1.1%, whereas, the content declined with age and reached the lowest value (0.01%) at maturity. The phosphorus content did not show significant variation. It is concluded that age and environmental conditions may affect the nutritive value of wall barley.     

基于星站差分GPS及DEM的林区SPOT5数据正射校正

通过星站差分GPS采集高精度的地面控制点(GCP),结合林区1∶1万DEM数据和SPOT5物理模型对SPOT5数据进行正射校正。结果表明,采用该方法校正所有GCP总体中误差为1.337个像元,能够满足林业资源调查规划设计的要求。