Detection of coffee berry necrosis by digital image processing of landsat 8 oli satellite imagery     

《International Journal of Applied Earth Observation and Geoinformation》2020

Coffee berry necrosis is a fungal disease that, at a high level, significantly affects coffee productivity. With the advent of surface mapping satellites, it was possible to obtain information about the spectral signature of the crop on a time scale pertinent to the monitoring and detection of plant phenological changes. The objective of this paper was to define the best machine learning algorithm that is able to classify the incidence CBN as a function of Landsat 8 OLI images in different atmospheric correction methods. Landsat 8 OLI images were acquired at the dates closest to sampling anthracnose field data at three times corresponding to grain filling period and were submitted to atmospheric corrections by DOS, ATCOR, and 6SV methods. The images classified by the algorithms of machine learning, Random Forest, Multilayer Perceptron and Naive Bayes were tested 30 times in random sampling. Given the overall accuracy of each test, the algorithms were evaluated using the Friedman and Nemenyi tests to identify the statistical difference in the treatments. The obtained results indicated that the overall accuracy and the balanced accuracy index were on an average around 0.55 and 0.45, respectively, for the Naive Bayes and Multilayer Perceptron algorithms in the ATCOR atmospheric correction. According to the Friedman and Nemenyi tests, both algorithms were defined as the best classifiers. These results demonstrate that Landsat 8 OLI images were able to identify an incidence of the coffee berry necrosis by means of machine learning techniques, a fact that cannot be observed by the Pearson correlation.  相似文献   

山地叶面积指数反演理论、方法与研究进展   总被引：2，自引：0，他引：2  

江海英  贾坤  赵祥  魏香琴  王冰  姚云军  张晓通  江波 《遥感学报》2020,24(12):1433-1449

叶面积指数LAI（Leaf Area Index）是表征叶片疏密程度和冠层结构特征的重要植被参数，在气候变化、作物生长模型以及碳、水循环研究中发挥着重要作用。遥感是获取区域及全球尺度LAI的一个重要手段，当前LAI产品主要基于遥感数据反演得到，但是多数LAI产品算法并未考虑地形特征的影响，导致山地LAI遥感反演精度不确定性大。提高山地LAI遥感反演精度亟需考虑地形因子对冠层反射率的影响，其中山地冠层反射率模型和遥感数据地形校正是提升山地LAI遥感反演精度的关键。本文围绕山地LAI遥感反演理论与方法，综合分析了国内外山地冠层反射率模型和地形校正模型的研究进展，总结了目前山地LAI遥感反演存在的问题，并讨论了未来研究的发展趋势。  相似文献   

SMAP卫星海表盐度产品的检验与校正     

秦思思  王辉  朱江  万莉颖  张宇  王昊运 《海洋学报(英文版)》2020,39(3):148-158

In this study, sea surface salinity(SSS) Level 3(L3) daily product derived from soil moisture active passive(SMAP)during the year 2016, was validated and compared with SSS daily products derived from soil Moisture and ocean salinity(SMOS) and in-situ measurements. Generally, the root mean square error(RMSE) of the daily SSS products is larger along the coastal areas and at high latitudes and is smaller in the tropical regions and open oceans. Comparisons between the two types of daily satellite SSS product revealed that the RMSE was higher in the daily SMOS product than in the SMAP, whereas the bias of the daily SMOS was observed to be less than that of the SMAP when compared with Argo floats data. In addition, the latitude-dependent bias and RMSE of the SMAP SSS were found to be primarily influenced by the precipitation and the sea surface temperature(SST). Then, a regression analysis method which has adopted the precipitation and SST data was used to correct the larger bias of the daily SMAP product. It was confirmed that the corrected daily SMAP product could be used for assimilation in high-resolution forecast models, due to the fact that it was demonstrated to be unbiased and much closer to the in-situ measurements than the original uncorrected SMAP product.  相似文献   

基于机器学习的海洋环境预报订正方法研究     

许立兵  王安喜  汪纯阳  陈悦  陈昱文  周峥  陈幸荣  邢建勇  刘克威  黄小猛 《海洋通报》2020,39(6):695-704

结合中尺度数值模式 WRF 预报数据和 ERA5 再分析资料，利用机器学习方法对 WRF 预报场的风场、温度、气压进行预报订正。采用 ERA5 作为真值，与原始 WRF 预报相比，利用随机森林模型可以将预报结果整体均方根误差降低 44%以 上，利用深度神经网络模型可以将预报结果整体均方根误差降低 34%以上。通过随机森林模型实验得到不同输入特征对预报要素的影响程度，分析了关键的预报订正因子。  相似文献   

顾及大气延迟效应的YG-13A斜距标定   总被引：2，自引：1，他引：1  

邓明军  张过  赵瑞山  李少宁  李建松 《遥感学报》2018,22(3):373-380

针对大气延迟时变误差影响遥感卫星十三号(YG-13A)斜距标定精度的问题,提出利用顾及大气延迟时变误差的斜距标定方法提高其斜距标定精度的策略。首先,利用基于NCEP气象资料和全球TEC数据的大气延迟改正方法来计算各标定景的大气延迟改正量。其次,将各标定景的大气延迟改正量代入斜距标定模型中。最后,在地面布设高精度角反射器控制点的情况下通过顾及大气延迟时变误差的斜距标定模型求解斜距测量系统误差,从而提高和验证斜距测量精度,角反射器控制点的平面和高程精度均优于0.1 m。利用嵩山遥感定标场地区的4组不同拍摄模式下获得的YG-13A卫星影像数据对比试验表明,相较于传统的斜距定标方法,在顾及大气延迟时变误差的情况下,4组数据的斜距改正值离散度均有所下降。利用太原、天津两个区域3景影像验证斜距改正后的精度,最小值为0.55 m,最大值为0.91 m,均值为0.70 m。试验结果证明了顾及大气延迟时变误差的斜距标定方法的有效性和可行性。  相似文献   

最优TS评分方法在逐时降水订正中的初步应用及评估          下载免费PDF全文

刘段灵  陈超 《热带气象学报》2022,38(4):611-620

使用2020年3—9月逐时更新的CMA广东短临3 km数值模式(CMA-GD(R3)模式)1~12 h逐小时降水量资料,利用最优TS评分订正方法(OTS)对逐小时降水量进行分级订正,并分别从整体和分类型降水过程预报订正效果进行了检验和对比评估。结果表明:从整体预报订正性能来看,通过OTS方法对CMA-GD(R3)模式订正后,对于≥1 mm/h及以上量级的降水,OTS均有较好的订正能力,并且随着雨强的增加,其TS评分的改善比率越大;同时,OTS可有效减少各个预报时效的漏报率和空报率,其中漏报率减小更加明显,表现出明显的湿偏差(空报偏多)。从三类暴雨过程逐时降水预报订正效果来看,通过OTS订正之后,对于≥1 mm/h的降水,OTS对三类暴雨类型均有正的订正能力。其中在0.1 mm、1 mm、10 mm、20 mm、35 mm、50 mm 6个量级上,季风型的逐时降水预报表现最好,6个量级的TS评分值分别为0.403、0.232、0.053、0.023、0.009和0.004;在5 mm量级上锋面型的逐时降水预报表现最优,其TS值为0.102。从改善效果来看,经过OTS订正后,在1 mm量级上台风型改善率最大,在5 mm和10 mm量级上锋面型改善率最大,在20 mm、35 mm和50 mm量级上季风型改善率最大。   相似文献   

Episodic crustal growth in the Tanzania Craton: evidence from Nd isotope compositions     

《China Geology》2018,1(2):210-224

The analysis of available Nd isotope data from the Tanzania Craton places important constraints on the crust-mantle separation ages, and events marking juvenile crustal addition and crustal recycling. Nd model ages date the oldest crust extraction to 3.16 Ga in the Tanzania Craton, although a rock record of such antiquity is yet to be found there. The most significant period of juvenile crustal addition as well as crustal recycling is 2.7–2.6 Ga. The Nd isotopes of mafic samples show that chemical heterogeneity existed in the mantle beneath the Tanzania Craton, with some samples originating from significantly depleted mantle, and most samples originating from the mixture of primitive mantle and depleted mantle. The Nd isotope section reveals significant differences in Nd isotopes between the north craton and central craton; compared to the north craton, the central craton yields a Nd model age that is approximately 100 Ma older, and its ε_Nd(t) values are more negative, indicating that the two parts of the craton have different mantle source regions. Different types of granitoids are distributed in the Tanzania Craton, such as high-K and low-Al granite, calc-alkaline granite, peraluminous granite and transitional types of tonalite-trondhjemite-granodiorites (TTGs). Most of the granitoids formed later than the mafic rocks in syn-collision and post-collision events.  相似文献   

四川地区多模式2m温度预报性能分析及集成方法研究          下载免费PDF全文

冯良敏  周秋雪  陈朝平  范江琳 《高原山地气象研究》2019,39(2):30-36

本文通过分析2017年9~12月四川地区ECMWF(European Centre for Medium-Range Weather Forecasting)细网格模式、GRAPES_GFS(Global and Regional Assimilation and Prediction System)全球模式和西南区域模式(South West Center-WRF ADAS Real-time Modeling System, SWCWARMS)2m温度168h预报时效内的系统性偏差特征,采用滑动双权重平均法分别对三种模式温度预报产品进行偏差订正,并集成得到各时效2m温度的订正场,结果表明:(1)三种模式的预报存在明显的日变化,整体上EC模式的预报最优。(2)三种模式对于低温和高温的预报,在全省均大致呈现负的系统性误差,特别在高原及过渡区表现的尤为明显。(3)订正后三种模式的预报准确率显著提高,均方根误差减小1.4~2.5℃,大部分地区平均误差维持在±0.5℃之间,在系统性偏差较大的地区,订正效果更好。(4)两种集成方案预报结果接近,且均优于三种模式的订正预报。  相似文献   

中国地区集合预报产品自适应递减平均偏差订正法的改进研究     

肖瑶  史一丛  王耸  王新伟 《气象与环境学报》2019,(2):9-14

基于中国地区T213集合预报产品2 m温度预报数据,采用卡尔曼滤波类型的自适应递减平均法进行偏差订正处理,原方案在剧烈降温天气订正效果表现不理想。通过对递减平均参数w的重新构建得到改进的订正方案w(i,p)(i为站点信息,p为天气过程信息),在此基础上进一步优化对历史信息的有效提取,得到改进的方案w(i,p)相似法和w(i,p)统计法,并进行效果检验。结果表明:改进为包含空间和天气过程信息的函数w(i,p)后方案的订正效果得到不同程度的提高,其中24 h剧烈降温预报各成员预报均方根误差平均减小了0. 15℃;而进一步改进的w(i,p)统计法在当前几种剧烈降温预报中订正效果最优,其集合平均偏差与w(i,p)方案相比减小2. 54℃。  相似文献   

基于频率匹配法的中国降水多模式预报订正研究          下载免费PDF全文

智协飞  吕游 《大气科学学报》2019,42(6):814-823

基于TIGGE资料中欧洲中期天气预报中心、日本气象厅、美国国家环境预报中心及英国气象局1～7 d日降水量预报以及中国自动站观测资料与CMORPH降水产品融合的逐时降水量网格数据集,利用频率匹配法(Frequency-Matching Method,FMM)对中国降水预报进行客观订正。首先利用卡尔曼滤波方法对降水频率进行调整,并根据不同区域降水强度差异将全国分为7个子区域分别进行频率匹配。结果表明,FMM可以有效减小降水量预报的误差。经过频率匹配法订正后各模式降水预报的平均绝对误差(Mean Absolute Error,MAE)大幅减小,且订正后各量级降水的雨区面积更加接近实际观测值。FMM对小于5 mm和大于15 mm的降水预报技巧改进明显。此外,FMM降低了模式预报的小雨空报率和大雨漏报率,并且明显提高了晴雨预报的准确率。FMM明显消除了大范围小雨空报区域,但是对强降水预报FMM仅能调整降水量大小,强降水落区预报并不能得到明显改善。  相似文献