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.     

STUDY ON THE INTERACTION BETWEEN NDVI PROFILE AND THE GROWING STATUS OF CROPS

Daily and ten-day Normalized Difference Vegetation Index(NDVI) of crops were retrieved from meteorological statellite NOAA AVHRR images ,The temporal variations of the NDVI were analyzed during the whole growing season,and thus the principle of the interaction between NDIV profile and the growing status of crops was discussed,As a case in point,the relationship between integral NDVI and winter wheat yield of Henan Province in 1999 had been analyzed.By putting integral NDVI values of 60 sample counties into the winter wheat yield-integral NDVI coordination,scattering map was plotted. It demonstrated that integral NDVI had a close relation with winter wheat yield.These relation could be described with linear,cubic polynomial ,and exponential regression,and the cubic polynomial regression was the best way,In general ,NDVI reflects growing status of green vegetation ,so crop monitoring and crop yield estimation could be realized by using remote sensing technique on the basis of time serial NDVI data together with agriculture calendars.     

TEMPORAL TRENDS IN SOIL PRODUCTIVITY EVALUATIONS*

Studies of soil productivity must compensate for the effects of temporal trends in order to examine the pattern of crop yields along spatial gradients. An analysis of the published yield estimates for 30 soils in 233 counties, however, did not find consistent yield increases over the past three decades. On the contrary, the yield estimates for many soils were markedly uniform since 1972. The uniformity appears to have two causes: the acknowledged difficulty of making yield estimates in a time of increasing variability in soil and crop management, both within and between regions, and surveyors' awareness of data stored in a national soils data base. The effect is to cast doubt on soil productivity data reported in county soil surveys published between 1973 and 1988.     

Water use, growth and yield of green gram under rainfed upland crop sequences in Gangetic Plains of Indian sub-tropics

A field experiment was conducted to study the effect of different crop sequences on water use, growth and yield of green gram (Vigna radiata (L) Wilezek) during 1992-93 and 1993-94 under rainfed upland condition in Indo-Gangetic plains of West Bengal. Green gram sown in the month of March as pre-rainy (summer) season crop, as and when the winter crops vacated the land, produced highest dry matter of 372 gm-2 which was significantly highest in black gram-yellow sarson sequence.The results of the field experimentation revealed that green gram gave highest grain yield to the extent of 10.80 q/ha when sown after black gram (rainy season) followed by yellow sarson (winter season) while the crop produced 10.63 q/ha under sesame-yellow sarson sequence. Highest water use of 267mm was achieved in green gram under black gram-yellow sarson sequence and the crop gave water use efficiency of 4.07 kg ha-1mm-1 under black gram-yellow sarson sequences.     

Water use, growth and yield of green gram under rainfed upland crop sequences in Gangetic Plains of Indian sub-tropics

A field experiment was conducted to study the effect of different crop sequences on water use, growth and yield of green gram (Vigna radiata (L) Wilezek) during 1992-93 and 1993-94 under rainfed upland condition in Indo-Gangetic plains of West Bengal. Green gram sown in the month of March as pre-rainy (summer) season crop, as and when the winter crops vacated the land, produced highest dry matter of 372 gm-2 which was significantly highest in black gram-yellow sarson sequence. The results of the field experimentation revealed that green gram gave highest grain yield to the extent of 10.80 q/ha when sown after black gram (rainy season) followed by yellow sarson (winter season) while the crop produced 10.63 q/ha under sesame-yellow sarson sequence. Highest water use of 267 mm was achieved in green gram under black gram-yellow sarson sequence and the crop gave water use efficiency of 4.07 kg ha-1mm-1 under black gram-yellow sarson sequences.     

行播冬小麦热辐射方向性的影响因子

混合像元的热辐射方向性由于受到多种因素的影响而变得极为复杂。该文以行播冬小麦为例，建立矩阵模型，研究混合像元热辐射方向性问题。结果表明，混合像元热辐射方向性主要受到混合像元内部各组分在三维上分布的不均一、像元比辐射率的方向性以及由外界影响造成的各组分温度差异的影响。在这三个主要影响因子中，各组分的比辐射率是地物固有的特征，不随外界条件而发生变化。在同温条件下，像元热辐射方向性完全由像元比辐射率的方向性决定。而各组分温度虽然没有方向性，但可以通过组分空间分布对其产生调制作用。     

我国部分市郊农田的重金属污染与防治途径

分析了我国部分主要城市农田土壤及农作物重金属污染状况，以了解土壤中与农作物中重金属污染物间的相互关系、变化趋势及造成污染的影响因素。结果表明，我国各大城市的农田土壤及农作物都存在不同程度的重金属污染，北方地区的土壤及农作物受重金属污染程度普遍高于南方。重金属在农作物与土壤中的含量一般呈正相关关系，受多种因素影响。对于已污染的土壤，可采用农业工程措施、生物修复法和施用改良剂等予以治理。     

农产物产量预报模式管理应用系统的软件设计

为更加系统有效地开展农作物产量预报工作，研制了《农作物产量预报模式管理咨询应用服务系统》，可将各种类型的已建产量预报模式归入档入库，为用户提供咨询服务并自动实现预报结果输出     

PELIMINARY ANALYSES FOR CROP WATER CONSUMPTION BY USING LYSIMETER

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深基坑排桩—圈梁支护结构协同作用研究

排桩－圈梁的协同作用对深基坑支护结构的变形和内力有着重要的影响，为此对深基坑排极支护结构进行了弹性地基梁有限元分析，得出一些有意义的结论。