检索结果-南通市图书馆

Species Distribution Modelling performance and its implication for Sentinel-2-based prediction of invasive Prosopis juliflora in lower Awash River basin, Ethiopia

引用

Ecological Processes 2021年第1期10卷 250-265页

作者： Nurhussen Ahmed Clement Atzberger Worku Zewdie Department of Remote Sensing Entoto Observatory and Research CenterEthiopian Space Science and Technology Institute(ESSTI)Addis AbabaEthiopia. Department of Geography and Environmental Studies Wollo UniversityDessieEthiopia. Institute of Geomatics University of Natural Resources and Life SciencesVienna(BOKU)Peter JordanStraße 821190 ViennaAustria.

Background:Species Distribution Modelling(SDM)coupled with freely available multispectral imagery from Sentinel-2(S2)satellite provides an immense contribution in monitoring invasive ***,attempts to evaluate the performances of SDMs using S2 spectral bands and S2 radiometric indices(S2-RIs)and biophysical variables,in particular,were ***,this study aimed at evaluating the performance of six commonly used SDMs and one ensemble model for S2-based variables in modelling the current distribution of Prosopis juliflora in the lower Awash River basin,***-five variables were computed from Sentinel-2B level-2A,and out of the variables,twelve significant variables were selected using Variable Inflation Factor(VIF).A total of 680 presence and absence data were collected to train and validate variables using the tenfold bootstrap replication approach in the R software“sdm”*** performance of the models was evaluated using sensitivity,specificity,True Skill Statistics(TSS),kappa coefficient,area under the curve(AUC),and ***:Our findings demonstrated that except bioclim all machine learning and regression models provided successful *** the tested models,Random Forest(RF)performed better with 93%TSS and 99%AUC followed by Boosted Regression Trees(BRT),ensemble,Generalized Additive Model(GAM),Support Vector Machine(SVM),and Generalized Linear Model(GLM)in decreasing *** relative influence of vegetation indices was the highest followed by soil indices,biophysical variables,and water indices in decreasing *** to RF prediction,16.14%(1553.5 km^(2))of the study area was invaded by the alien ***:Our results highlighted that S2-RIs and biophysical variables combined with machine learning and regression models have a higher capacity to model invasive species ***,the use of machine learning algorithms such as RF algorithm is highly essential for remote sensing-based inva

关键词： Biophysical processors Prosopis juliflora radiometric indices Remote sensing Sentinel-2 Species Distribution Modelling

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Combined radiometric Analysis Related to Guava Leaf Phenology in Response to Soil Application of Paclobutrazol (PBZ)

引用

International Journal of Geosciences 2022年第8期13卷 681-694页

作者： Victor Manuel Rodríguez-Moreno Victor Manuel Rodríguez-Moreno José Saúl Padilla-Ramírez Guillermo Medina-García Arturo Reyes-González Experimental Field Station “Pabellón” Km 32.5 highway Ags-Zac Pabellón de Arteaga Aguascalientes México Experimental Field Station “Zacatecas” Km 24.5 highway Zacatecas-Fresnillo Calera de Victor Rosales Zac. México Experimental Field Station “La Laguna” Boulevard José Santos Valdez 1200 Pte Matamoros Coahuila México

The leaf-response to three-soil applied treatments of Paclobutrazol (PBZ;1000, 2000 and 0 ppm-control) was studied in a high-density plantation of eight guava (Psidium guajava) genotypes trees. All materials were prunned in vase form, with two to three major branches, yearly prunning for triggering the annual production cycle, and average height of 2.0 m. The dataset comprises fourth radiometric indices highly related to plant physiological activities. The dataset model took into account data collection dates, guava genotypes, and the positional effect of sun radiation on leaves based on their proximity to the canopy level and downward to the base of the woody seasonal-branch. Unexpectedly, there were no significant differences (NS) in PBZ treatments for genotypes, leaf position and radiometric indices. Analysis of the radiometric indices data revealed that anthocyanin (ARI index) and chlorophyll (PRI index) have a strong inverse relationship. Significant differences (P ≤ 0.05) were found between guava genotypes, and anthocyanin content;these results show that guava genotypes have varied responses, which could derive in their classification based-on drought resistance or low water requirements, however, it is important to note that additional research is required to determine the scope of these indications.

关键词： radiometric indices PBZ Guava High-Density Plantation Climate Change

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

欢迎您,

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

请选择保存的检索档案：

请选择收藏分类：

通借通还

欢迎您,

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：