scholarly journals The Influence of Seasonality on the Multi-Spectral Image Segmentation for Identification of Abandoned Land

2021 ◽  
Vol 13 (12) ◽  
pp. 6941
Author(s):  
Eglė Tumelienė ◽  
Jūratė Sužiedelytė Visockienė ◽  
Vida Malienė
Keyword(s):  
Image Segmentation ◽  
Minimum Distance ◽  
Agricultural Land ◽  
Agricultural Lands ◽  
Colour Intensity ◽  
Spectral Image ◽  
Segmentation Methods ◽  
Abandoned Land ◽  
Abandoned Lands ◽  
Sentinel 2

Areas of agricultural land in Lithuania have decreased from 2005 to 2021 by up to 2.4%. Agricultural lands that are no longer used for their main purpose are very likely to become abandoned and the emergence of such lands can cause a variety of social, economic, and environmental problems. Therefore, it is very important to constantly monitor changes of abandoned agricultural lands. The purpose of the research is to analyse the influence of seasonality on image segmentation for the identification of abandoned land areas. Multi-spectral Sentinel-2 images from different periods (April, July, and September) and three supervised image segmentation methods (Spectral Angle Mapping (SAM), Maximum_Likelihood (ML), and Minimum distance (MD)) were used with the same parameters in this research. Studies had found that the most appropriate time to segment abandoned lands was in September, according to the SAM and ML algorithms. During this period, the intensity of the green colour was the highest and the colour brightness of abandoned lands differed from the colour intensity of other lands.

scholarly journals Study of the Relationship between Abandoned Land and Different Indicators

2020 ◽  
Vol 12 ◽  
pp. 33-38
Author(s):  
Ruta Puziene ◽  
Asta Anikeniene
Keyword(s):  
Correlation Analysis ◽  
Agricultural Land ◽  
Agricultural Activities ◽  
State Control ◽  
Performance Score ◽  
Average Performance ◽  
Abandoned Land ◽  
The Relationship ◽  
Abandoned Lands ◽  
Over Time

One of the most pressing problems in land management is abandoned agricultural land. Abandoned land in Lithuania is unattended and not used for agricultural activities. These areas degrade the country's landscape and over time overgrow with shrubs or low-value plants. The article analyzes the change of abandoned agricultural land in 2015-2019. State control to reduce abandoned land is discussed. Relations with selected indicators are analyzed. Data visualization was performed with ArcGIS software. However from 2015 to 2019, a constant decrease of abandoned land has occurred. The analysis showed that the majority of abandoned land is found in Vilnius, Utena and Alytus counties. The results of the correlation analysis showed the highest dependence of abandoned lands on the average performance score in counties.

scholarly journals Multi-Spectral Image Segmentation Based on the K-means Clustering

2019 ◽  
Vol 9 (2) ◽  
pp. 1016-1019 ◽  
Keyword(s):  
Remote Sensing ◽  
Minimum Distance ◽  
Clustering Algorithm ◽  
Satellite Image ◽  
Vital Role ◽  
Spectral Image ◽  
Multispectral Remote Sensing ◽  
High Resolution Satellite Imagery ◽  
Crop Health ◽  
Sentinel 2

Agriculture is one of the oldest economic aspects of human civilisation, and it is still undergoing a dynamic makeover in the course of the application of IT innovative mechanisms in farming methodology. Remote sensing has vied a significant role in crop classification, crop health and yield assessment. Multispectral remote sensing plays a vital role in providing enhancement of more detailed analysis of crop segmentation. In this article, pixel-based clustering of 12 channels is carried out using the satellite image from Sentinel 2 remote sensing satellite via k-means clustering. K-means clustering algorithm is usually a better method of classifying high-resolution satellite imagery. The extracted regions are classified using a minimum distance decision rule.

scholarly journals Analysis of The Change of Derelict Lands in Ignalina District Municipality in 2013–2019

2021 ◽  
pp. 9-19
Author(s):  
Virginija Atkocevičienė ◽  
Jolanta Valčiukienė ◽  
Daiva Juknelienė ◽  
Laimutė Gasianec
Keyword(s):  
Land Management ◽  
Spatial Data ◽  
Agricultural Land ◽  
State Control ◽  
Economic Activities ◽  
Management Measures ◽  
Abandoned Land ◽  
Private And Public ◽  
Land Control ◽  
Abandoned Lands

Although the number of derelict and unused land in the country is declining every year, the problem of derelict land still remains. The reasons for the emergence of such land are various, usually the whole complex of circumstances that led to the abandonment of land in one area or another. Abandoned land is noticeable in both private and public land. The largest areas of derelict land are found in Vilnius district and north-eastern Lithuania. At the beginning of 2019, there were 4,783 abandoned land plots in Ignalina district. They occupied 2286,93 ha, which was 1.5 percent. district area. In the analyzed period of 2013–2019, the area of abandoned lands decreased by 1985.57 ha, i. y. 46 percent. After examining the reasons for the emergence of abandoned lands, it was established that they are complex – natural, economic, social, demographic, political, legal and human economic activities. The article examines land management measures that have influenced the reduction of brownfields - inspections of state control of land use, inspections of brownfields according to spatial data sets and application of RDP for afforestation on non-forest land. The maximum number of abandoned land inspections was determined during the state land control. There were 2239 inspections of derelict land, which is 79 percent. all land management measures applied. Keywords: land management, abandoned lands, Land Fund of the Republic of Lithuania, agricultural land, state control.

Conflicts caused by afforestations of agricultural land in densely populated areas

1991 ◽  
Vol 56 ◽  
Author(s):  
N. Lust ◽  
B. Muys
Keyword(s):  
Nature Conservation ◽  
Agricultural Land ◽  
Agricultural Lands ◽  
Biological Value ◽  
Ecological Problems ◽  
The Subject ◽  
Points Of View

In  densely populated areas, such as Flanders, serious conflicts arise due to the  afforestation of agricultural lands. Roughly speaking, three sectors are  involved: agriculture, forestry and nature conservation. These groups do not  always share the same points of view. But even within the different sectors  there are several subgroups with their own interests and approaches.  Generally speaking, agriculture is strongly opposed, forestry has a  relatively diversified meaning, whereas nature conservation is either opposed  or in favour, depending on the region's biological value.     The policy in this matter is not forest friendly. Legislation strongly  hampers the afforestation of agricultural lands. Moreover the subject leads  to a series of ecological problems, which have not really been considered up  to now.

scholarly journals PyConvU-Net: a lightweight and multiscale network for biomedical image segmentation

2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Changyong Li ◽  
Yongxian Fan ◽  
Xiaodong Cai
Keyword(s):  
Image Segmentation ◽  
Deep Learning ◽  
State Of The Art ◽  
Experimental Results ◽  
Actual Situation ◽  
Controlled Experiments ◽  
Biomedical Image ◽  
Segmentation Methods ◽  
Art Performance

Abstract Background With the development of deep learning (DL), more and more methods based on deep learning are proposed and achieve state-of-the-art performance in biomedical image segmentation. However, these methods are usually complex and require the support of powerful computing resources. According to the actual situation, it is impractical that we use huge computing resources in clinical situations. Thus, it is significant to develop accurate DL based biomedical image segmentation methods which depend on resources-constraint computing. Results A lightweight and multiscale network called PyConvU-Net is proposed to potentially work with low-resources computing. Through strictly controlled experiments, PyConvU-Net predictions have a good performance on three biomedical image segmentation tasks with the fewest parameters. Conclusions Our experimental results preliminarily demonstrate the potential of proposed PyConvU-Net in biomedical image segmentation with resources-constraint computing.

scholarly journals A NOVEL IMAGE SEGMENTATION APPROACH BASED ON NEUTROSOPHIC SET AND IMPROVED FUZZY C-MEANS ALGORITHM

2011 ◽  
Vol 07 (01) ◽  
pp. 155-171 ◽  
Author(s):  
H. D. CHENG ◽  
YANHUI GUO ◽  
YINGTAO ZHANG
Keyword(s):  
Image Segmentation ◽  
Point Of View ◽  
Neutrosophic Set ◽  
Convergence Criterion ◽  
Complex Objects ◽  
Fuzzy C Means ◽  
Segmentation Methods ◽  
Segmentation Algorithms ◽  
Segmentation Approach ◽  
Fuzzy C Means Algorithm

Image segmentation is an important component in image processing, pattern recognition and computer vision. Many segmentation algorithms have been proposed. However, segmentation methods for both noisy and noise-free images have not been studied in much detail. Neutrosophic set (NS), a part of neutrosophy theory, studies the origin, nature, and scope of neutralities, as well as their interaction with different ideational spectra. However, neutrosophic set needs to be specified and clarified from a technical point of view for a given application or field to demonstrate its usefulness. In this paper, we apply neutrosophic set and define some operations. Neutrosphic set is integrated with an improved fuzzy c-means method and employed for image segmentation. A new operation, α-mean operation, is proposed to reduce the set indeterminacy. An improved fuzzy c-means (IFCM) is proposed based on neutrosophic set. The computation of membership and the convergence criterion of clustering are redefined accordingly. We have conducted experiments on a variety of images. The experimental results demonstrate that the proposed approach can segment images accurately and effectively. Especially, it can segment the clean images and the images having different gray levels and complex objects, which is the most difficult task for image segmentation.

A Survey on Solar Image Segmentation Techniques

2014 ◽  
Vol 945-949 ◽  
pp. 1899-1902
Author(s):  
Yuan Yuan Fan ◽  
Wei Jiang Li ◽  
Feng Wang
Keyword(s):  
Image Processing ◽  
Pattern Recognition ◽  
Image Analysis ◽  
Image Segmentation ◽  
Image Retrieval ◽  
Fundamental Issue ◽  
Solar Image ◽  
Segmentation Methods

Image segmentation is one of the basic problems of image processing, also is the first essential and fundamental issue in the solar image analysis and pattern recognition. This paper summarizes systematically on the image segmentation techniques in the solar image retrieval and the recent applications of image segmentation. Then the merits and demerits of each method are discussed in this paper, in this way we can combine some methods for image segmentation to reach the better effects in astronomy. Finally, according to the characteristics of the solar image itself, the more appropriate image segmentation methods are summed up, and some remarks on the prospects and development of image segmentation are presented.

Denmark: experience of market turnover of agricultural land

Ekonomika APK ◽  
2021 ◽  
Vol 317 (3) ◽  
pp. 89-96
Author(s):  
Ihor Yurchenko
Keyword(s):  
Structural Model ◽  
Agricultural Land ◽  
Legal Framework ◽  
Empirical Method ◽  
Practical Significance ◽  
Agricultural Lands ◽  
Logical Scheme ◽  
Logical Method ◽  
Danish Experience ◽  
The Right

The purpose of the article is to reveal the experience of the functioning of the market circulation of agricultural land in Denmark, in order to further implement in Ukrainian practice, the positive and avoid negative aspects of this experience. Research methods. The study used an empirical method (comprehensive assessment of the modern model of market turnover of agricultural land in Denmark); generalization and systematization (construction of the concept and logical-structural model of economic turnover of lands); abstract-logical method (theoretical generalizations and formulation of conclusions). Research results. It was found that the tightly regulated market turnover of agricultural land in Denmark was changed to a more liberal one, with permission to buy land for foreigners, but this not only did not attract investment as expected, but on the contrary, led to even more negative and crisis phenomena in country. The main tools, mechanisms and conditions of land turnover in agriculture of this country are determined. Scientific novelty. The main purpose of regulating the market turnover of land in Danish agriculture has been established. The legal framework of Denmark for regulating the market circulation of agricultural land has been studied. The structural and logical scheme of market circulation of agricultural lands is formed. The provisions on the Ukrainian model of regulating the market turnover of agricultural lands were further developed, taking into account the experience of the studied country. Practical significance. The results of the study of the experience of the Kingdom of Denmark on the market turnover of land, in terms of granting non-residents access to the right to purchase agricultural land, is a clear practical answer and a caveat that should undoubtedly be taken into account in Ukraine. The application of the Danish experience should help to build an effective model of market turnover of agricultural land in our country. Tabl.: 1. Figs.: 1. Refs.: 18.

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