Land surface temperature retrieval for arid regions based on Landsat-8 TIRS data:a case study in Shihezi,Northwest China

Scientific interest in geophysical information about land surface temperature （LST） is ever increasing, as such information provides a base for a large number of applications, including environmental and agricultural monitoring. Therefore, the research of LST retrieval has become a hot topic. Recent availability of Landsat-8 satel- lite imagery provides a new data source for LST retrieval. Hence, exploring an adaptive method with reliable ac- curacy seems to be essential. In this study, basing on features of Landsat-8 TIRS thermal infrared channels, we re-calculated parameters in the atmospheric transmittance empirical models of the existing split-window algorithm, and estimated the ground emissivity with the help of the land cover classification map of the study area. Further- more, a split-window algorithm was rebuilt by virtual of the estimation model of the updated atmospheric transmit- tance and the ground emissivity, and then a remote sensing retrieval for the LST of Shihezi city in Xinjiang Uygur autonomous region of Northwest China was conducted on the basis of this modified algorithm. Finally, precision validation of the new model was implemented by using the MODIS LST products. The results showed that the LST retrieval from Landsat-8 TIRS data based on our algorithm has a higher credibility, and the retrieved LST is more consistent with the MODIS LST products. This indicated that the modified algorithm is suitable for retrieving LST with competitive accuracy. With higher resolutions, Landsat-8 TIRS data may provide more accurate observation for LST retrieval.     

Monitoring desertification processes in Mongolian Plateau using MODIS tasseled cap transformation and TGSI time series

Most remote sensing studies assess the desertification using vegetation monitoring method. But it has the insufficient precision of vegetation monitoring for the limited vegetation cover of the desertification region. Therefore, it offers an alternative approach for the desertification research to assess sand dune and sandy land change using remote sensing in the desertification region. In this study, the indices derived from the well-known tasseled cap transformation(TCT), tasseled cap angle(TCA),disturbance index(DI), process indicator(PI), and topsoil grain size index(TGSI) were integrated to monitor and assess the desertification at the thirteen study sites including sand dunes and sandy lands distributed in the Mongolian Plateau(MP) from 2000 to 2015. A decision tree was used to classify the desertification on a regional scale. The average overall accuracy of 2000, 2005, 2010 and 2015 desertification classification was higher than 90%. Results from this study indicated that integration of the advantages of TCA, DI and TGSI could better assess the desertification. During the last 16 years, Badain Jaran Desert, Tengger Desert, and Ulan Buh Desert showed a relative stabilization. Otindag Sandy Land and the deserts of Khar Nuur, Ereen Nuur, Tsagan Nuur, Khongoryn Els, Hobq, and Mu Us showed a slow increasing of desertification, whereas Bayan Gobi, Horqin and Hulun Buir sandy lands showed a slow decreasing of desertification. Compared with the other 11 sites, the fine sand dunes occupied the majority of the Tengger Desert, and the coarse sandy land occupied the majority of the Horqin Sandy Land. Our findings on a three or four years' periodical fluctuated changes in the desertification may possibly reflect changing precipitation and soil moisture in the MP. Further work to link the TCA, DI,TGSI, and PI values with the desertification characteristics is recommended to set the thresholds and improve the assessment accuracy with field investigation.     

广西巨尾桉2年生人工幼林生物量及生产力研究

在对广西沙塘林场巨尾桉2年生人工林调查基础上，按标准木法测定巨尾桉人工幼林生物量，建立其估算模型，计算出巨尾桉人工林分的生物量和生产力，分析各器官生物量分配规律及林分生产力水平。结果表明，2年生巨尾桉人工林年生物量为16.57 t/hm^2，其中，干、根、叶、枝、皮各器官生物量所占比例依次为46.67％、16.85％、14.62％、12.16％、9.62％。应用建立的估算模型估测巨尾桉人工幼林生物量，其相关程度达显著水平。     

Maize/peanut intercropping increases photosynthetic characteristics, ~(13)C-photosynthate distribution,and grain yield of summer maize

Intercropping is used widely by smallholder farmers in developing countries to increase land productivity and profitability. We conducted a maize/peanut intercropping experiment in the 2015 and 2016 growing seasons in Shandong, China. Treatments included sole maize(SM), sole peanut(SP), and an intercrop consisting of four rows of maize and six rows of peanut(IM and IP). The results showed that the intercropping system had yield advantages based on the land equivalent ratio(LER) values of 1.15 and 1.16 in the two years, respectively. Averaged over the two years, the yield of maize in the intercropping was increased by 61.05% compared to that in SM, while the pod yield of peanut was decreased by 31.80% compared to SP. Maize was the superior competitor when intercropped with peanut, and its productivity dominated the yield of the intercropping system in our study. The increased yield was due to a higher kernel number per ear(KNE). Intercropping increased the light transmission ratio(LTR) of the ear layer in the maize canopy, the active photosynthetic duration(APD), and the harvest index(HI) compared to SM. In addition, intercropping promoted the ratio of dry matter accumulation after silking and the distribution of ~(13) C-photosynthates to grain compared to SM. In conclusion, maize/peanut intercropping demonstrated the potential to improve the light condition of maize, achieving enhanced photosynthetic characteristics that improved female spike differentiation, reduced barrenness, and increased KNE. Moreover, dry matter accumulation and ~(13) C-photosynthates distribution to grain of intercropped maize were improved, and a higher grain yield was ultimately obtained.     

基于模糊数学的洲滩人工林复合经营模式多功能评价

在资料查询、专家咨询获取各种模式林分相关信息的基础上,选择华容县5种当地典型的杨树人工林复合经营模式,共设置20块样地,对相应指标进行实地调查,从生态效益、经济效益、社会效益三个方面筛选评价指标,构建了洲滩人工林复合经营的综合评价指标体系,运用层次分析法和模糊数学综合评判法对5种杨树人工林经营模式进行了评价。评价结果表明:5种杨树人工林复合经营模式的生态、经济、社会综合效益评价优劣排序为林-菜模式(0.631 3)林-菌模式(0.611 8)林-药模式(0.488 3)林-草模式(0.475 2)纯林模式(0.456 7)。无论从生态功能、经济功能、社会功能还是从综合效益来看,研究区人工林复合经营模式都优于纯林模式。     

基于非线性假设的农业机械化综合评价——以四川地区为例

农业机械化水平受到自然、经济、社会等多重因素影响,区域性特征非常明显,对农机化的评价维度和方法目前也未形成共识。为此,以四川省农机发展水平为例,确定四川省农业机械化评价维度后,基于几个维度的非线性关系假设,使用三维空间向量对该地区农业机械化水平进行了综合评价。     

基于模糊评判法的长安区滑坡崩塌灾害易发性分区评价

在对长安区滑坡崩塌地质灾害发育现状及形成条件分析的基础上,结合地质灾害易发性分区评价方法,采用模糊综合评判法对长安区滑坡崩塌地质灾害进行了易发性区划评价。结果表明,长安区滑坡崩塌易发性分区分为6个高易发区域、3个中易发区、1个低易发区(C)和1个不易发区(D),高易发区总面积为190.94 km2,中易发区为382.93 km2,低易发区为299.21 km2,不易发区为707.56km2。     

宁夏中部生态移民区土地利用时空变化分析

通过解译宁夏中部红寺堡区1989年、1999年、2006年、2012年TM遥感影像,获取该区域生态移民前后4期土地利用数据,对1989~2012年以来土地利用变化情况进行了分析。结果表明,各个时间段的土地利用变化差异性显著。1989~1999年,由于大规模的土地开荒和红寺堡灌区的建设,耕地面积持续增加,同时该区域开始有了水浇地,而林草面积相应减少;1999~2006年,由于退耕还林还草政策的实施,耕地中的旱地被逐渐退耕为草地或发展为水浇地,林草面积开始由减少转为增加,区域土地利用开始合理化;2006~2012年,随着生态移民工程和生态建设工程的成熟发展,林草覆盖面积进一步增加,水浇地面积继续稳步增加,而未利用地和旱地面积持续下降。研究结果为区域土地资源的合理利用及生态移民工程的进一步顺利开展提供可靠依据。     

北京市公园绿地投资标准测算

公园绿地作为"唯一有生命力"的城市基础设施,一直以来其建设和投资标准不像道路、管线等基础睡设施那般明确,而随着近年来城市发展对生态环境的日益重视,各类公园绿地项目逐渐增多。为了加强公园绿地项目在前期设计和审批阶段的科学性、合理性,文章结合北京市当前园林绿化的实际情况,按照"一亩地公园"模型的思路,根据不同的投资工程,建立了投资标准测算模型,测算了投资指标,尝试为公园绿地的投资标准确定提供一种新的思路。     

永定县烟后作稻氮磷钾肥料效试验研究

采用“3414”田间肥效试验方案,在3个试验点进行烟后作稻田间试验,研究永定县烟后作稻的氮磷钾肥效和最挂施用量.试验结果表明：合理施用氮磷钾肥可有效提高烟后作稻的产量,烟后作稻施用适量氮磷钾肥即处理6,可分别增产20.3％、4.9％和9.0％.在试验条件下,烟后作稻的氮磷钾经济施肥量为N 1116 kg/hm2、P2O531 kg/hm,2、K2O 81 kg/hm2、预计产量7 926 kg/hm2.