scholarly journals ỨNG DỤNG GIS VÀ VIỄN THÁM ĐÁNH GIÁ BIẾN ĐỘNG DIỆN TÍCH CÂY CAO SU DO ẢNH HƯỞNG CỦA BÃO SỐ 10 NĂM 2013 TẠI HUYỆN BỐ TRẠCH, TỈNH QUẢNG BÌNH GIAI ĐOẠN 2013-2019

2021 ◽  
Vol 5 (3) ◽  
pp. 2614-2623
Author(s):  
Phạm Hữu Tỵ ◽  
Nguyễn Ngọc Thanh ◽  
Lê Hải Minh ◽  
Nguyễn Văn Bình
Keyword(s):  
Maximum Likelihood ◽  
Rubber Tree ◽  
Rubber Plantation ◽  
Statistical Interpretation ◽  
Field Surveys ◽  
Local Staff ◽  
Report Data ◽  
The Impact ◽  
Tree Development

Nghiên cứu này sử dụng ảnh vệ tỉnh Landsat LC8 của các năm 2013, 2014, và 2019 để giải đoán phân loại lớp phủ cây cao su ở huyện Bố Trạch, tỉnh Quảng Bình và đánh giá biến động diện tích cao su sau ảnh hưởng của bão số 10 (tên là Wutip) năm 2013. Kết quả giải đoán còn sử dụng để đánh giá thiệt hại diện tích trồng cây cao su do ảnh hưởng của bão số 10 năm 2013 và biến động diện tích trồng cây cao su giai đoạn 2013-2019. Các số liệu điều tra thực địa, phỏng vấn cán bộ, số liệu báo cáo thứ cấp, tài liệu phục vụ các hội thảo về phát triển cây cao su ở Quảng Bình đã được thu thập để hỗ trợ cho công việc phân tích, giải đoán ảnh vệ tinh. Nghiên cứu này kết hợp phương pháp giải đoán ảnh theo định hướng đối tượng kết hợp với thuật toán Maximum Likelihood. Kết quả giải đoán đã được đánh giá, độ chính xác giải đoán tổng thể biến động từ 82-88% và hệ số Kappa biến động từ 0,8-0,87 trong các năm nghiên cứu. Qua thống kê kết quả giải đoán ảnh viễn thám Landsat LC8, diện tích trồng cây cao su tại huyện Bố Trạch, tỉnh Quảng Bình bị thiệt hại đáng kể do ảnh hưởng của bão số 10 năm 2013, hơn 1.500 ha bị thiệt hại. Tuy nhiên, mỗi năm diện tích cây sao su được khôi phục lại và trồng mới tại huyện Bố Trạch, do đó sau bão số 10 năm 2013, diện tích cây cao su tăng lên đáng kể từ năm 2014-2019, hơn 2.500 ha. ABSTRACT This study used Landsat LC8 satellite images of 2013, 2014, and 2019 to interpret the classification of rubber tree landcover in Bo Trach district, Quang Binh province and evaluate changes in rubber area after the impact of storms number 10 (named Wutip) in 2013. The results of interpretation were also used to assess the damage of rubber plantations due to the impact of typhoon number 10 in 2013 and changes in rubber plantation area in the period of 2013- 2019. Data from field surveys, interviews with local staff, secondary report data, and documents of conference on rubber tree development in Quang Binh was collected to support analysis and interpretation. This study combined the object-oriented image analysis method combined with the Maximum Likelihood algorithm. The interpretation results were evaluated, the overall interpretation overall accuracy varied from 82-88% and the Kappa coefficient varied from 0.8-0.87 in the studied years. Through the statistical interpretation results of the Landsat LC8 detective, the rubber plantation area in Bo Trach district, Quang Binh province was significantly damaged due to the impact of typhoon number 10 in 2013, over 1500 hectares were damaged. However, each year, the area of ​​​​the rubber tree is restored and newly replanted in Bo Trach district, so after the typhoon number 10 in 2013, the area of ​​rubber trees increased significantly from 2014-2019, over 2,500 ha.

scholarly journals Impact of removal of rubber plantation – a high altitude ecosystem for urbanization on CO2 mitigating capacity by loss of carbon sink.

2021 ◽  
Author(s):  
Ambily K K ◽  
A. Ulaganathan ◽  
G. C. Sathisha
Keyword(s):  
High Altitude ◽  
Carbon Content ◽  
Carbon Stock ◽  
Carbon Sink ◽  
Rubber Tree ◽  
Total Carbon ◽  
Rubber Plantation ◽  
Environment Friendly ◽  
Sequestration Potential ◽  
The Impact

Abstract Mitigating climate change and global warming through carbon sequestration of tree ecosystem is of prime importance due to cost effective, environment friendly and ecological sustainability. Urbanization is a part of development and generally rubber plantations were usually removed for this purpose especially in Kerala, the southern state of India. Besides commercially high yield of latex, the economic produce of rubber plant and the associated income, rubber tree is fairly good sink for carbon in its biomass with an average carbon content of 42 per cent and substantial carbon stock in soil. This study pointed out the serious carbon sink loss from the removal of rubber plantation for urbanization, one of the major development activities which resulted in the damage of the self-sustained carbon friendly and economically sound perennial rubber ecosystem. The present popular clone (RRII 105) existing in major share (85 %) of the total rubber cultivation in India accounts carbon sink loss 57t/ha, 57.5t/ha, 43.2t/ha for 23 years and 148t/ha, 75t/ha and 62.1t/ha for 30 years from biomass, litter fall and sheet rubber respectively. The establishing modern clones RRII 414, RRII 429 and RRII 417 having higher growth rate and biomass recorded still higher (44–50 per cent) carbon sink loss compared to the existing popular clone RRII 105. The carbon sink loss in the form of stored carbon in soil is 56.5 with soil carbon content between 1.2 to 2 per cent. Due to the growth variation in extreme climatic conditions, the clones recorded differences in carbon stock and thereby carbon sink loss. The central region of Kerala showed higher loss and lower loss was in the drought affected northern region than South region. The total carbon sink loss for 23, 30 years were 214.2 and 341.5 t/ha respectively. Maintenance of green spaces/areas including vegetation having higher C-sequestration potential and trees having higher lignin content to increase carbon capture for mitigating the impact of removal of plantations especially in high altitude to some extent in the scenario of inevitable developmental activities and urban developments to become environment friendly. From the study it was clear that the removal of rubber plantation affecting the carbon sink loss greatly and thereby the CO2 mitigating capacity and is a serious matter of concern.

scholarly journals Classification of healthy and white root disease infected rubber trees based on relative permittivity and capacitance input properties using LM and SCG artificial neural network

2020 ◽  
Vol 19 (1) ◽  
pp. 222
Author(s):  
Mohd Suhaimi Sulaiman ◽  
Zuraidi Saad
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Statistical Analysis ◽  
Relative Permittivity ◽  
Rubber Tree ◽  
Root Surface ◽  
Root Disease ◽  
Rubber Plantation ◽  
Single Input

<span>White root disease is one of the most serious diseases in rubber plantation in Malaysia that originally infects on the root surface of the rubber tree. So, prevention is important compared to treatment. The classification system proposed in the research had the ability of detecting the disease by classifying between healthy rubber trees and white root disease infected rubber trees. 600 samples of latex from healthy rubber trees and white root disease infected rubber trees were taken from the RRIM station in Kota Tinggi, Johor. These samples were measured based on its relative permittivity and capacitance. All of the measurement inputs from the experiment were tested using statistical analysis. These measurement input were then went through the process of classification in ANN to generate the optimized models by using LM and SCG algorithm. There were four optimized models selected from the classification process. The accuracy from the selected most optimized models were greater than 70%. The selected most optimized models were then used to classify between healthy trees and white root infected trees based on single input categories. </span>

ON THE CLASSIFICATION OF DIGITAL TECHNOLOGIES IN CIVIL PROCESS

2019 ◽  
pp. 27-35
Author(s):  
Alexandr Neznamov
Keyword(s):  
Information Processing ◽  
Scientific Community ◽  
Digital Technologies ◽  
Significant Feature ◽  
Legal Proceedings ◽  
Civil Process ◽  
Civil Proceedings ◽  
Processing Information ◽  
The Impact

Digital technologies are no longer the future but are the present of civil proceedings. That is why any research in this direction seems to be relevant. At the same time, some of the fundamental problems remain unattended by the scientific community. One of these problems is the problem of classification of digital technologies in civil proceedings. On the basis of instrumental and genetic approaches to the understanding of digital technologies, it is concluded that their most significant feature is the ability to mediate the interaction of participants in legal proceedings with information; their differentiating feature is the function performed by a particular technology in the interaction with information. On this basis, it is proposed to distinguish the following groups of digital technologies in civil proceedings: a) technologies of recording, storing and displaying (reproducing) information, b) technologies of transferring information, c) technologies of processing information. A brief description is given to each of the groups. Presented classification could serve as a basis for a more systematic discussion of the impact of digital technologies on the essence of civil proceedings. Particularly, it is pointed out that issues of recording, storing, reproducing and transferring information are traditionally more «technological» for civil process, while issues of information processing are more conceptual.

Influence of internal and external risks on sustainability of financial system of Аltai krai

2018 ◽  
Vol 35 (4) ◽  
pp. 133-136
Author(s):  
R. N. Ibragimov
Keyword(s):  
Sustainable Development ◽  
Financial Stability ◽  
Management Strategy ◽  
Financial System ◽  
Risk Management Strategy ◽  
The Sustainable Development ◽  
The Stability ◽  
The Impact

The article examines the impact of internal and external risks on the stability of the financial system of the Altai Territory. Classification of internal and external risks of decline, affecting the sustainable development of the financial system, is presented. A risk management strategy is proposed that will allow monitoring of risks, thereby these measures will help reduce the loss of financial stability and ensure the long-term development of the economy of the region.

Fish diversity

2017 ◽  
Author(s):  
Derek Burton ◽  
Margaret Burton
Keyword(s):  
Life Style ◽  
Fish Diversity ◽  
Additional Species ◽  
The Impact ◽  
Current Species

Fish diversity is considered in terms of variety of their morphological, taxonomic, habitat and population attributes. Fish, with over 30, 000 current species, represent the largest group of vertebrates. The complexity of classification of a group of this size and antiquity, together with recognition of additional species, demands continuous ongoing revision. The impact of the recent fundamental changes in fish classification in 2016 is discussed. Life in water involves adaptations to widely different habitats which can result in physiological morphological and life-style variations which are reviewed.

Why Ecological Momentary Assessment Surveys Go Incomplete?: When It Happens and How It Impacts Data

2020 ◽  
Author(s):  
Yu-Hsiang Wu ◽  
Jingjing Xu ◽  
Elizabeth Stangl ◽  
Shareka Pentony ◽  
Dhruv Vyas ◽  
...  
Keyword(s):  
Real Time ◽  
Self Report ◽  
Data Logging ◽  
Time Data ◽  
Real Time Data ◽  
Report Data ◽  
Self Report Data ◽  
Ecological Momentary ◽  
The Impact ◽  
Momentary Assessment

Abstract Background Ecological momentary assessment (EMA) often requires respondents to complete surveys in the moment to report real-time experiences. Because EMA may seem disruptive or intrusive, respondents may not complete surveys as directed in certain circumstances. Purpose This article aims to determine the effect of environmental characteristics on the likelihood of instances where respondents do not complete EMA surveys (referred to as survey incompletion), and to estimate the impact of survey incompletion on EMA self-report data. Research Design An observational study. Study Sample Ten adults hearing aid (HA) users. Data Collection and Analysis Experienced, bilateral HA users were recruited and fit with study HAs. The study HAs were equipped with real-time data loggers, an algorithm that logged the data generated by HAs (e.g., overall sound level, environment classification, and feature status including microphone mode and amount of gain reduction). The study HAs were also connected via Bluetooth to a smartphone app, which collected the real-time data logging data as well as presented the participants with EMA surveys about their listening environments and experiences. The participants were sent out to wear the HAs and complete surveys for 1 week. Real-time data logging was triggered when participants completed surveys and when participants ignored or snoozed surveys. Data logging data were used to estimate the effect of environmental characteristics on the likelihood of survey incompletion, and to predict participants' responses to survey questions in the instances of survey incompletion. Results Across the 10 participants, 715 surveys were completed and survey incompletion occurred 228 times. Mixed effects logistic regression models indicated that survey incompletion was more likely to happen in the environments that were less quiet and contained more speech, noise, and machine sounds, and in the environments wherein directional microphones and noise reduction algorithms were enabled. The results of survey response prediction further indicated that the participants could have reported more challenging environments and more listening difficulty in the instances of survey incompletion. However, the difference in the distribution of survey responses between the observed responses and the combined observed and predicted responses was small. Conclusion The present study indicates that EMA survey incompletion occurs systematically. Although survey incompletion could bias EMA self-report data, the impact is likely to be small.

scholarly journals Formation of an Export-Oriented Agricultural Economy and Regional Open Innovations

2021 ◽  
Vol 7 (1) ◽  
pp. 32
Author(s):  
Victor L. Shabanov ◽  
Marianna Ya Vasilchenko ◽  
Elena A. Derunova ◽  
Andrey P. Potapov
Keyword(s):  
Agricultural Economy ◽  
Institutional Management ◽  
Agricultural Exports ◽  
Modeling Methodology ◽  
Fixed Assets ◽  
Analysis Application ◽  
The Impact ◽  
The Relationship

The aim of the work is to find relevant indicators for assessing the relationship between investments in fixed assets in agriculture, gross output of the industry, and agricultural exports using tools for modeling the impact of innovation and investment development on increasing production and export potential in the context of the formation of an export-oriented agricultural economy. The modeling methodology and the proposed estimating and forecasting tools for diagnosing and monitoring the state of sectoral and regional innovative agricultural systems are used to analyze the relationship between investments in fixed assets in agriculture, gross output of the industry, and agricultural exports based on the construction of the classification of Russian regions by factors that aggregate these features to diagnose incongruence problems and to improve institutional management in regional innovative export-oriented agrosystems. Based on the results of the factor analysis application, an underestimated role of indicators of investment in agriculture, the intensity and efficiency of agricultural production, were established. Based on the results of the cluster analysis, the established five groups of regions were identified, with significant differences in the level of investment in agriculture, the volume of production of the main types of agricultural products, and the export and exported food. The research results are of practical value for use in improving institutional management when planning reforms and transformations of regional innovative agrosystems.

scholarly journals Minimization of the Line Resistance Impact on Memdiode-Based Simulations of Multilayer Perceptron Arrays Applied to Pattern Recognition

2021 ◽  
Vol 11 (1) ◽  
pp. 9
Author(s):  
Fernando Leonel Aguirre ◽  
Nicolás M. Gomez ◽  
Sebastián Matías Pazos ◽  
Félix Palumbo ◽  
Jordi Suñé ◽  
...  
Keyword(s):  
Pattern Recognition ◽  
Ex Situ ◽  
Multilayer Perceptrons ◽  
Spice Simulation ◽  
Large Dataset ◽  
High Line ◽  
Calibration Algorithm ◽  
The Impact ◽  
Line Resistance

In this paper, we extend the application of the Quasi-Static Memdiode model to the realistic SPICE simulation of memristor-based single (SLPs) and multilayer perceptrons (MLPs) intended for large dataset pattern recognition. By considering ex-situ training and the classification of the hand-written characters of the MNIST database, we evaluate the degradation of the inference accuracy due to the interconnection resistances for MLPs involving up to three hidden neural layers. Two approaches to reduce the impact of the line resistance are considered and implemented in our simulations, they are the inclusion of an iterative calibration algorithm and the partitioning of the synaptic layers into smaller blocks. The obtained results indicate that MLPs are more sensitive to the line resistance effect than SLPs and that partitioning is the most effective way to minimize the impact of high line resistance values.

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