Detection and mapping of maize streak virus using RapidEye satellite imagery

The aim of this study was to detect and map MSV using RapidEye multispectral sensor in Ofcolaco farm. To achieve this objective, the acquired RapidEye sensor was classified using the robust Random Forest algorithm. Furthermore, the variable importance technique was used to determine the influence of each spectral band and indices on the mapping accuracy. For better performance of image data, the value of the commonly used vegetation indices in improving the classification accuracy was tested. The results revealed that the use of RapidEye spectral bands in detection and mapping of MSV yielded good classification results with an overall accuracy of 82.75%. The inclusion of vegetation indices computed from RapidEye sensor improved the classification accuracies by 3.4%. The most important RapidEye spectral bands in classifying MSV were near infrared, blue and red-edge. On the other hand, the most important vegetation indices were the Soil adjusted vegetation index, Enhanced vegetation index, Red index and Normalized Vegetation Index. The current study recommends future studies to assess the importance of multi-temporal remote sensing applications in detecting and monitoring the spread of MSV.     

Sentinel-2 red-edge spectral indices (RESI) suitability for mapping rubber boom in Luang Namtha Province,northern Lao PDR

Rubber (Hevea brasiliensis) tree cultivation is being continuously expanded northward by replacing evergreen forests and swidden-related regenerated vegetation across the uplands of mainland Southeast Asia (MSEA), e.g., Laos, a landlocked mountainous country. The non-native tree establishment in the northern tropical edge, or the non-traditional suitable planting area, provides stable supplies of natural latex, yet also leads to severe ecological degradation and environmental effects in water conservation, soil quality, rainforest fragmentation and biodiversity. Rubber plantations in the northern part of MSEA are normally characterized by periodic deciduous during the dry season, along with a lengthy defoliation-foliation duration, because of seasonal variations in temperature and precipitation. It thus lays a phenological and physiological base for dynamics monitoring with common multispectral (e.g., near-infrared and short-wave infrared bands) satellites, particularly Landsat. However, whether Sentinel-2 red-edge based algorithms are suitable for discriminating rubber plantations is not yet exclusively reported. Here, we developed a red-edge spectral indices (RESI) method through the normalization of three red-edge bands and applied it to identify and map rubber plantations in Luang Namtha Province of northern Laos, where a rubber boom begun in the mid-2000s. The RESI algorithm highlights the sensitivity of red-edge bands to the changes in moisture content and canopy density of rubber plantations. The area of mature rubber plantations was estimated to be 771.2 km² in this province bordering southwest China in 2018, which was nearly twice as much as that of 2011, with the overall accuracy and kappa coefficient up to 92.50% and 0.91, respectively. Our phenology-based RESI approach not only indicates that Sentinel-2 imagery holds significant potential for monitoring rubber plantations, but also improves the remotely-sensed methods of rubber boom mapping via introducing the red-edge channel.     

Assessing benthic ecological status in coastal area near Changjiang River estuary using AMBI and M-AMBI

The Changjiang （Yangtze） River estuary has been subject to a variety of anthropogenic pressures in recent decades. To assess the ecological health of the coastal benthic ecosystem adjacent to the estuary, three surveys were conducted in 2005, 2009, and 2010. The AZTI＇s Marine Biotic Index （AMBI） and multivariate-AMBI （M-AMBI） were used to analyse the benthic ecological status of this coast. The AMBI indicate that the ecological status of the coast adjacent to the Changjiang River estuary was only slightly degraded in all 3 years. In contrast, the M-AMBI indicated that the ecological status was seriously degraded, a result that is most likely due to pollution and eutrophication induced by human activities. The assessment of the coast＇s ecological status by the AMBI was not in agreement with that of the M-AMBI at some stations because of lower biodiversity values at those sites. The analysis of the two indices integrated with abiotic parameters showed that the M-AMBI could be used as a suitable bio-indicator index to assess the benthic ecological status of the coast adjacent to the Changjiang River estuary. The reference conditions proposed for the coast of the Changjiang River estuary should be further evaluated in future studies. Designation of local species could also provide an important reference for Chinese waters. To improve the reliability of AMBI and M-AMBI, further research into the ecology of local species is required to understand their arrangement in ecological groups.     

近50 a齐齐哈尔市极端气候事件特征分析

利用目前国际上较流行的极端气候指数方法对1951～2006年齐齐哈尔市24种极端气候指数进行计算和分析,得到了齐齐哈尔市极端气候事件的事实和变化特征。结果表明:齐齐哈尔市的年最低气温、暖夜、热夜日数和生长季长度呈显著上升趋势;冷夜、冷日、霜日、冰日和日平均温差均呈显著下降趋势。各种降水指数的变化趋势都不显著;极端气温和降水指数均存在阶段性特征和突变特征;最低气温的增暖主要发生在20世纪80年代中期以后,而最高气温则在90年代以后变暖明显,夜间气温的上升对增暖进程的贡献更大;极端降水事件的强度和频率呈增加趋势,2000年以后增加趋势尤为明显。     

国内东亚热带-副热带季风的研究进展

简要回顾了近年来国内在东亚热带-副热带季风方面的研究进展。涉及亚洲热带季风爆发特征、爆发机制、季风指数设计、东亚季风环流系统、低频振荡活动以及东亚季风年际和年代际变化等问题,并讨论了东亚热带-副热带季风研究中存在的问题及未来的研究前景。     

一种新的El Ni(n)o海气耦合指数

利用1980～2010年月平均Hadley中心海表温度、美国全球海洋资料同化系统(GODAS)海洋温度和NCEP/NCAR大气环流再分析资料,通过对2个海洋要素(海表温度SST、上层热含量HC)和5个大气要素(海平面气压SLP、850 hPa风场、200hPa速度势和对外长波辐射OLR)的多变量经验正交函数展开(multivariate EOF,简称MV-EOF)探讨了热带太平洋的主要海气耦合特征.结果表明,MV-EOF分析的前两个耦合模态分别很好地对应了传统型El Ni(n)o和ElNiloModoki的海气耦合特征:传统型El Ni(n)o期间,伴随着赤道中东太平洋SST的异常增温,HC、SLP、200 hPa速度势等要素总体呈东西反相的“跷跷板”变化,低层850hPa赤道中太平洋出现较强西风距平,西北太平洋上空为反气旋性异常环流;ElNi(n)o Modoki期间,SST持续增温和HC正异常中心均显著西移至中太平洋,低层SLP和高空200 hPa速度势均呈现纬向三极型异常分布,低层异常强西风向西移至暖池东部,西北太平洋上空呈现气旋性异常环流.两类El Ni(n)o的海气耦合特征存在显著差异,较优的El Ni(n)o指数应不仅可以客观描述和区分El Ni(n)o现象本身,更要紧密联系两类事件所产生的大气响应.以往定量表征El Ni(n)o年际变化的指标大多立足于SST或SLP,本文选取HC作为研究指标,定义了一组新的El Ni(n)o指数HCEI和HCEMI.较以往基于SST的El Ni(n)o指数,HCEI和HCEMI不仅能更清楚地表征和区分两类El Ni(n)o(如1993年的传统型El Ni(n)o和2006年的El Ni(n)o Modoki),而且能更好地反映和区分两类El Ni(n)o与大气间的海气耦合特征,为ElNi(n)o的监测和短期气候预测工作提供了一个新工具.     

金沙江金坪子堆积体地貌过程与稳定性研究

对金沙江乌东德河谷及临近河谷进行了详细的野外调查,对河谷中的金坪子堆积体不同部位进行钻孔、竖井、平硐勘探作业并取样,室内进行TL测年和重矿成分分析,运用地貌学、沉积学和年代学进行综合研究,获得了金坪子堆积体地貌过程和稳定性的初步认识,金坪子堆积体地貌过程可分为乌东德峡谷的贯通与老金沙江金坪子深槽的形成、老金沙江金坪子深槽被充填过程、金沙江改道和现代金沙江的发育3个阶段,金坪子堆积体形成于1979.70~86.617.36KaBP,是乌东德河谷地貌发育过程中的残留堆积体,属于老金沙江深潭岩壁的崩坡积物与金沙江流水带来的冲积物填充古深槽而成,堆积体深嵌在古深槽槽底基岩中,堆积体比较稳定不会影响乌东德水电站的选址。     

STATISTICAL RELATIONS BETWEEN GEOMORPHIC PARAMETERS- A CASE STUDY OF THE YUNNAN REACH OF THE LANCANGJIANG RIVER IN SOUTHWESTERN CHINA

The properties of rivers and their catchments can be expressed by statistical relationships between geomorphic parameters. These statistical relationships may reveal some inherent differences in geomorphic evolution for different reaches or different order tributaries of a river basin. A case study was undertaken of the Yunnan reach of the Langcangjiang River. The catchment area, channel length and gradient of the first-, second- and third-order tributaries all with catchment areas larger than 100 km2 in the Yunnan reach were the main geomorphic parameters evaluated. The correlation between catchment area and channel length as well as between catchment area and channel gradient with respect to the total tributaries, different reach tributaries, and different order tributaries were revealed using statistical methods. In general, the channel length as a function of catchment area, was best expressed by a quadratic function where channel length increases with increasing catchment area (half parabola), while the channel gradient as a function of catchment area is best expressed by an exponential decay function. Comparison of the best-fit formulas revealed the following phenomena: the lower Yunnan reach tributaries and the first-order tributaries have a dominant effect on geomorphic parameters of the total tributaries. In addition, the statistical relationships indicate that the river geomorphic system in the upper and lower Yunnan reaches evolved differently. This study method used to differentiate river characteristics by determining statistical relationships between geomorphic parameters may be extended to other rivers and their catchments.     

基于不确定性分析的遥感分类空间分层及评估方法

空间分层是准确度量遥感分类不确定性程度及其空间分布的基础与关键。本文提出了一种基于不确定性分析的遥感分类空间分层及评估方法,首先基于随机森林算法获取像元后验概率,确定分类不确定性度量指标;其次,采用模糊C均值进行空间分层;最后,对分层结果合理性进行定性与定量评估,并与同尺度数据产品精度评价结果及后验概率不确定性分层方法进行对比分析。以北京市顺义区Landsat 8 OLI遥感影像数据为例,研究结果表明：(1)基于最大概率、模糊混淆指数和概率熵指标将顺义区分为不确定性大、中、小3层,相应的遥感数据层分类精度分别为62.28%、74.96%、79.31%;(2)分类不确定性空间分层结果与度量指标大小的空间分布基本一致,错分地类图层与不确定性大层的地类空间分布基本一致;(3)遥感数据和数据产品的各层地类空间特征、层分类精度大小趋势一致,与总体分类精度相比,不确定性大层的层分类精度降低,不确定性小层的层分类精度提高;(4)与后验概率不确定性分层方法相比,本研究不确定性大层的层分类精度降低1.08%,不确定性中层提高3.58%,不确定性小层提高0.16%,q值由0.19提高到0.24,空间分异性...     

北疆绿洲农业区气象干旱指数的确定及干旱特征分析

气象干旱指数是衡量农业干旱程度的指标之一。选取降水距平百分率PA、标准化降水指数SPI、标准化降水蒸散指数SPEI、通过SPI和SPEI构建的综合指数nSPEI（新的标准化降水蒸散指数）四种干旱指数,利用北疆绿洲农业区1961－2020年的气象数据,进行相关性、回归拟合、不同等级干旱频率分布等方面的对比,优选出对旱情描述更符合实际的干旱指数,并进而分析研究区的干旱变化特征。结果表明：（1）PA的干旱标准低估了干旱程度,SPI对温度上升引起的干旱加剧不敏感,SPEI计算蒸散发选用的Thornthwaite方法会高估温度对干旱的影响,nSPEI克服了SPI和SPEI的不足,对研究区的适用性最优。（2）近60年,研究区季尺度气象干旱随时间呈波动性变化特征,进入21世纪以来,春、夏季表现为湿－干变化,秋季表现为弱的干－湿变化,在干旱强度上,春、夏季由弱增强,秋季略减弱,在干旱范围上,以全局性干旱为主,春季局域性干旱增多,夏、秋季局域性干旱减少,在干旱频次上,春季特旱多,夏季重旱多,要注意相伴随的大风灾害和高温灾害,都会进一步加重农业旱情和灾情。