Subjects -> MATHEMATICS (Total: 1120 journals)
    - APPLIED MATHEMATICS (92 journals)
    - GEOMETRY AND TOPOLOGY (23 journals)
    - MATHEMATICS (822 journals)
    - MATHEMATICS (GENERAL) (45 journals)
    - NUMERICAL ANALYSIS (25 journals)

MATHEMATICS (822 journals)            First | 1 2 3 4 5     

Showing 401 - 538 of 538 Journals sorted alphabetically
Journal of Computational Physics     Hybrid Journal   (Followers: 71)
Journal of Computational Physics : X     Open Access   (Followers: 1)
Journal of Computer Engineering, System and Science (CESS)     Open Access  
Journal of Contemporary Mathematical Analysis     Hybrid Journal  
Journal of Cryptology     Hybrid Journal   (Followers: 5)
Journal of Difference Equations and Applications     Hybrid Journal  
Journal of Differential Equations     Full-text available via subscription   (Followers: 1)
Journal of Discrete Algorithms     Hybrid Journal   (Followers: 4)
Journal of Discrete Mathematics     Open Access   (Followers: 1)
Journal of Dynamics and Differential Equations     Hybrid Journal  
Journal of Engineering Mathematics     Hybrid Journal   (Followers: 2)
Journal of Evolution Equations     Hybrid Journal  
Journal of Experimental Algorithmics     Full-text available via subscription   (Followers: 1)
Journal of Flood Risk Management     Hybrid Journal   (Followers: 14)
Journal of Formalized Reasoning     Open Access   (Followers: 2)
Journal of Function Spaces     Open Access  
Journal of Functional Analysis     Full-text available via subscription   (Followers: 2)
Journal of Geochemical Exploration     Hybrid Journal   (Followers: 1)
Journal of Geological Research     Open Access   (Followers: 1)
Journal of Geovisualization and Spatial Analysis     Hybrid Journal  
Journal of Global Optimization     Hybrid Journal   (Followers: 7)
Journal of Global Research in Mathematical Archives     Open Access   (Followers: 1)
Journal of Group Theory     Hybrid Journal   (Followers: 2)
Journal of Homotopy and Related Structures     Hybrid Journal  
Journal of Honai Math     Open Access  
Journal of Humanistic Mathematics     Open Access   (Followers: 1)
Journal of Hyperbolic Differential Equations     Hybrid Journal  
Journal of Indian Council of Philosophical Research     Hybrid Journal  
Journal of Industrial Mathematics     Open Access   (Followers: 2)
Journal of Inequalities and Applications     Open Access  
Journal of Infrared, Millimeter and Terahertz Waves     Hybrid Journal   (Followers: 2)
Journal of Integrable Systems     Open Access   (Followers: 1)
Journal of K-Theory     Full-text available via subscription  
Journal of Knot Theory and Its Ramifications     Hybrid Journal   (Followers: 1)
Journal of Kufa for Mathematics and Computer     Open Access   (Followers: 1)
Journal of Liquid Chromatography & Related Technologies     Hybrid Journal   (Followers: 7)
Journal of Logical and Algebraic Methods in Programming     Hybrid Journal  
Journal of Manufacturing Systems     Full-text available via subscription   (Followers: 4)
Journal of Mathematical Analysis and Applications     Full-text available via subscription   (Followers: 5)
Journal of mathematical and computational science     Open Access   (Followers: 7)
Journal of Mathematical and Fundamental Sciences     Open Access  
Journal of Mathematical Behavior     Hybrid Journal   (Followers: 3)
Journal of Mathematical Chemistry     Hybrid Journal   (Followers: 3)
Journal of Mathematical Cryptology     Hybrid Journal   (Followers: 1)
Journal of Mathematical Extension     Open Access   (Followers: 3)
Journal of Mathematical Finance     Open Access   (Followers: 9)
Journal of Mathematical Imaging and Vision     Hybrid Journal   (Followers: 6)
Journal of Mathematical Logic     Hybrid Journal   (Followers: 3)
Journal of Mathematical Modelling and Algorithms     Hybrid Journal   (Followers: 1)
Journal of Mathematical Neuroscience     Open Access   (Followers: 10)
Journal of Mathematical Sciences     Hybrid Journal  
Journal of Mathematical Sciences and Applications     Open Access   (Followers: 2)
Journal of Mathematical Sociology     Hybrid Journal   (Followers: 3)
Journal of Mathematics     Open Access  
Journal of Mathematics and Statistics     Open Access   (Followers: 8)
Journal of Mathematics and Statistics Studies     Open Access   (Followers: 5)
Journal of Mathematics and the Arts     Hybrid Journal   (Followers: 2)
Journal of Mathematics Education at Teachers College     Open Access   (Followers: 3)
Journal of Mathematics in Industry     Open Access  
Journal of Mathematics Research     Open Access   (Followers: 6)
Journal of Metallurgy     Open Access   (Followers: 8)
Journal of Modern Mathematics Frontier     Open Access  
Journal of Multidisciplinary Modeling and Optimization     Open Access  
Journal of Multivariate Analysis     Hybrid Journal   (Followers: 13)
Journal of Natural Sciences and Mathematics Research     Open Access  
Journal of Nonlinear Analysis and Optimization : Theory & Applications     Open Access   (Followers: 4)
Journal of Nonlinear Mathematical Physics     Hybrid Journal   (Followers: 1)
Journal of Nonlinear Science     Hybrid Journal   (Followers: 1)
Journal of Numerical Cognition     Open Access   (Followers: 1)
Journal of Numerical Mathematics     Hybrid Journal   (Followers: 2)
Journal of Optimization     Open Access   (Followers: 5)
Journal of Peridynamics and Nonlocal Modeling     Hybrid Journal  
Journal of Problem Solving     Open Access   (Followers: 2)
Journal of Progressive Research in Mathematics     Open Access   (Followers: 5)
Journal of Pseudo-Differential Operators and Applications     Hybrid Journal  
Journal of Pure and Applied Algebra     Full-text available via subscription   (Followers: 4)
Journal of Quantitative Analysis in Sports     Hybrid Journal   (Followers: 9)
Journal of Quantitative Linguistics     Hybrid Journal   (Followers: 6)
Journal of Scientific Computing     Hybrid Journal   (Followers: 18)
Journal of Scientific Research     Open Access  
Journal of Symbolic Computation     Hybrid Journal   (Followers: 1)
Journal of the Australian Mathematical Society     Full-text available via subscription  
Journal of the Egyptian Mathematical Society     Open Access  
Journal of the European Mathematical Society     Full-text available via subscription   (Followers: 1)
Journal of the Indian Mathematical Society     Hybrid Journal   (Followers: 1)
Journal of the Institute of Mathematics of Jussieu     Hybrid Journal  
Journal of the London Mathematical Society     Hybrid Journal   (Followers: 2)
Journal of the Nigerian Mathematical Society     Open Access   (Followers: 1)
Journal of Theoretical and Applied Physics     Open Access   (Followers: 8)
Journal of Topology and Analysis     Hybrid Journal  
Journal of Transport and Supply Chain Management     Open Access   (Followers: 16)
Journal of Turbulence     Hybrid Journal   (Followers: 9)
Journal of Uncertainty Analysis and Applications     Open Access   (Followers: 1)
Journal of Universal Mathematics     Open Access  
Journal of Urban Regeneration & Renewal     Full-text available via subscription   (Followers: 11)
JRAMathEdu : Journal of Research and Advances in Mathematics Education     Open Access   (Followers: 6)
JUMLAHKU : Jurnal Matematika Ilmiah STKIP Muhammadiyah Kuningan     Open Access   (Followers: 3)
JURING (Journal for Research in Mathematics Learning)     Open Access   (Followers: 1)
Jurnal Ilmiah AdMathEdu     Open Access  
Jurnal Matematika     Open Access   (Followers: 1)
Jurnal Matematika Integratif     Open Access  
Jurnal Matematika, Sains, Dan Teknologi     Open Access  
Jurnal Natural     Open Access  
Jurnal Pendidikan Matematika Raflesia     Open Access  
Jurnal Penelitian Pembelajaran Matematika Sekolah     Open Access  
Jurnal Penelitian Sains (JPS)     Open Access  
Jurnal Riset Pendidikan Matematika     Open Access  
Jurnal Sains Matematika dan Statistika     Open Access  
Jurnal Tadris Matematika     Open Access  
Jurnal Teknologi dan Sistem Komputer     Open Access  
Kontinu : Jurnal Penelitian Didaktik Matematika     Open Access   (Followers: 3)
Kreano, Jurnal Matematika Kreatif-Inovatif     Open Access   (Followers: 6)
Le Matematiche     Open Access  
Learning and Teaching Mathematics     Full-text available via subscription   (Followers: 7)
Lettera Matematica     Hybrid Journal  
Lietuvos Matematikos Rinkinys     Open Access   (Followers: 3)
Limits : Journal of Mathematics and Its Applications     Open Access   (Followers: 1)
Linear Algebra and its Applications     Full-text available via subscription   (Followers: 23)
Linear and Multilinear Algebra     Hybrid Journal   (Followers: 8)
Lithuanian Mathematical Journal     Hybrid Journal  
LMS Journal of Computation and Mathematics     Free  
Lobachevskii Journal of Mathematics     Open Access  
Logic and Analysis     Hybrid Journal   (Followers: 1)
Logic Journal of the IGPL     Hybrid Journal   (Followers: 1)
Logica Universalis     Hybrid Journal  
manuscripta mathematica     Hybrid Journal  
MaPan : Jurnal Matematika dan Pembelajaran     Open Access  
Marine Genomics     Hybrid Journal   (Followers: 2)
Matemáticas, Educación y Sociedad     Open Access  
Matematicheskie Zametki     Full-text available via subscription  
Matematika     Open Access  
Matematychni Studii     Open Access  
Mathematica Eterna     Open Access  
Mathematica Scandinavica     Full-text available via subscription   (Followers: 1)
Mathematica Slovaca     Hybrid Journal   (Followers: 1)
Mathematical and Computational Forestry & Natural-Resource Sciences     Free  
Mathematical Communications     Open Access  
Mathematical Computation     Open Access   (Followers: 1)
Mathematical Geosciences     Hybrid Journal   (Followers: 3)
Mathematical Journal of Interdisciplinary Sciences     Open Access   (Followers: 1)
Mathematical Medicine and Biology: A Journal of the IMA     Hybrid Journal   (Followers: 1)
Mathematical Methods in the Applied Sciences     Hybrid Journal   (Followers: 4)
Mathematical Methods of Statistics     Hybrid Journal   (Followers: 4)
Mathematical Modelling and Analysis     Open Access   (Followers: 1)
Mathematical Modelling in Civil Engineering     Open Access   (Followers: 5)
Mathematical Modelling of Natural Phenomena     Full-text available via subscription   (Followers: 1)
Mathematical Models and Methods in Applied Sciences     Hybrid Journal   (Followers: 2)
Mathematical Models in Engineering     Open Access   (Followers: 2)
Mathematical Notes     Hybrid Journal  
Mathematical Proceedings of the Cambridge Philosophical Society     Full-text available via subscription   (Followers: 2)
Mathematical Programming Computation     Hybrid Journal   (Followers: 3)
Mathematical Sciences     Open Access  
Mathematical Social Sciences     Hybrid Journal   (Followers: 1)
Mathematical Theory and Modeling     Open Access   (Followers: 13)
Mathematical Thinking and Learning     Hybrid Journal   (Followers: 4)
Mathematics and Statistics     Open Access   (Followers: 5)
Mathematics Education Forum Chitwan     Open Access   (Followers: 2)
Mathematics Education Journal     Open Access   (Followers: 3)
Mathematics Education Research Journal     Partially Free   (Followers: 20)
Mathematics in Science and Engineering     Full-text available via subscription  
Mathematics of Control, Signals, and Systems (MCSS)     Hybrid Journal   (Followers: 5)
Mathematics of Quantum and Nano Technologies     Open Access  
Mathématiques et sciences humaines     Open Access   (Followers: 6)
Mathematische Annalen     Hybrid Journal   (Followers: 1)
Mathematische Nachrichten     Hybrid Journal   (Followers: 1)
Mathematische Semesterberichte     Hybrid Journal  
Mathematische Zeitschrift     Hybrid Journal   (Followers: 1)
MathLAB Journal     Open Access   (Followers: 5)
MATI : Mathematical Aspects of Topological Indeces     Open Access  
MATICS     Open Access   (Followers: 2)
Matrix Science Mathematic     Open Access   (Followers: 1)
Measurement Science Review     Open Access   (Followers: 3)
Mediterranean Journal of Mathematics     Hybrid Journal  
Memetic Computing     Hybrid Journal  
Mendel : Soft Computing Journal     Open Access  
Metaheuristics     Hybrid Journal  
Metals and Materials International     Hybrid Journal  
Metascience     Hybrid Journal   (Followers: 1)
Metrology and Instruments / Метрологія та прилади     Open Access  
Milan Journal of Mathematics     Hybrid Journal  
Mitteilungen der DMV     Hybrid Journal  
MLQ- Mathematical Logic Quarterly     Hybrid Journal   (Followers: 1)
MONA : Matematik- og Naturfagsdidaktik     Hybrid Journal   (Followers: 5)
Monatshefte fur Mathematik     Hybrid Journal  
Moroccan Journal of Pure and Applied Analysis     Open Access   (Followers: 4)
Moscow University Mathematics Bulletin     Hybrid Journal  
MSOR Connections     Open Access   (Followers: 1)
Multiscale Modeling and Simulation     Hybrid Journal   (Followers: 3)
MUST : Journal of Mathematics Education, Science and Technology     Open Access   (Followers: 2)
Nagoya Mathematical Journal     Hybrid Journal  
Nano Research     Hybrid Journal   (Followers: 4)
Nanotechnologies in Russia     Hybrid Journal   (Followers: 1)
Natural Resource Modeling     Hybrid Journal   (Followers: 1)
New Mathematics and Natural Computation     Hybrid Journal  
Nonlinear Analysis : Modelling and Control     Open Access   (Followers: 1)
Nonlinear Analysis : Theory, Methods & Applications     Hybrid Journal   (Followers: 1)
Nonlinear Analysis: Hybrid Systems     Hybrid Journal  
Nonlinear Analysis: Real World Applications     Hybrid Journal   (Followers: 2)
Nonlinear Differential Equations and Applications NoDEA     Hybrid Journal  
Nonlinear Engineering     Open Access  

  First | 1 2 3 4 5     

Similar Journals
Journal Cover
Mathematical and Computational Forestry & Natural-Resource Sciences
Journal Prestige (SJR): 0.391
Citation Impact (citeScore): 1
Number of Followers: 0  

  Free journal Free journal
ISSN (Print) 1946-7664 - ISSN (Online) 1946-7664
Published by Contemporary Journal Concept Press Homepage  [1 journal]
  • Reverse Causality in Size-Dependent Growth
    • Authors: Oscar Garcia
      Pages: 1 - 5(5)
      Abstract: Size-dependent growth is likely to be growth-dependent size instead. Larger organisms do not necessarily grow faster, but faster-growing ones always tend to be larger. This fact has been generally ignored. Correct causality structures are essential for plausible predictions outside the range of the data. Some techniques potentially useful for studying these issues are brie y described. In forestry, the relevance of multiple size measures like volume, height, diameter and basal area greatly complicates the picture. Additionally, purely mathematical sources of growth-size correlations arise. Physiological considerations suggest avoiding stem thickness measures as explanatory variables in growth equations.
      PubDate: 2018-04-03
      Issue No: Vol. 10, No. 1 (2018)
  • Are Models the Answer'
    • Authors: Kim Iles
      Pages: 6 - 8(3)
      Abstract: This note gives a short discussion about using models with or without correction by eld measurements in forest inventory. While modelling with LiDAR may be tempting, the author would argue that these inherently limited models are best used for their ability to distribute overall totals after the fact, or to assist a more general unbiased inventory approach using models as an initial estimate.
      PubDate: 2018-04-03
      Issue No: Vol. 10, No. 1 (2018)
  • Forks in my road toward more mathematics in forest dynamics models (An
           Invited Autobiographical Note)
    • Authors: Rolfe A Leary
      Pages: 9 - 12(4)
      Abstract: This note describes personal fits and starts in the author’s career seeking an education to permit a serious use of applied mathematics in forest dynamics research. The personal journey through mathematics, while maintaining roots in forest dynamics, was not very efficient, and the sought after goal of universal description remains only partially tested. It would appear that significant improvement has been made in representing sugar maple height growth, based on application of 14 different differential equation models found in the literature over the last 175 years, but causal environmental variables are not identified.
      PubDate: 2018-04-03
      Issue No: Vol. 10, No. 1 (2018)
  • Overview of the 2017 11th Southern Forestry and Natural Resources GIS
    • Authors: Chris Cieszewski
      Pages: 13 - 14(2)
      Abstract: This is a brief overview of the 11th Southern Forestry and Natural Resources GIS Conference (SOFOR GIS) and associated with it current submissions to this Special Section dedicated to the series of these repeated biannually SOFOR GIS conferences. In the current issue we have in this section two papers from this conference, one Research Summary of a Presentation, and two Research Summaries of Posters.
      PubDate: 2018-04-03
      Issue No: Vol. 10, No. 1 (2018)
  • Follow-up study of the importance of mapping technology knowledge and
           skills for entry-level forestry job positions, as deduced from recent job
    • Authors: Pete Bettinger, Krista Merry
      Pages: 15 - 23(9)
      Abstract: The purpose of this investigation is to assess the importance of mapping technology knowledge and skills for entry-level forestry job candidates, based on relevant job advertisements made available through the Internet. The study assumes that an expectation of the relevant details regarding educational background and desired work experience of an entry-level forestry position would be evident in a job advertisement. One hundred and seventy-two (172) job advertisements were collected from 91 employment and recruitment Internet sites over a six-month period of time beginning on March 30, 2017 and ending on September 30, 2017. Using a summative content analysis approach, we analyzed the word/phrase frequency of use of mapping technology requirements in these job advertisements. Employers placed greatest emphasis on knowledge and skill related to geographic information systems. The results indicate that over half of the entry-level forestry job advertisements required candidates to possess knowledge (24.4%) or skill (26.2%) related to geographic information systems (GIS). Over one-quarter of the advertisements suggested knowledge (10.5%) or skill (16.9%) of global positioning systems (GPS) was important. Only one GIS system was specifically mentioned in the job advertisements. Knowledge and skill related to the use of a compass, aerial images, and in a broader sense, remote sensing were mentioned in much lower frequencies. We observed some differences with respect to the type of forestry organization seeking job applicants (public and private), and the region in which the job being offered was situated.
      PubDate: 2018-04-03
      Issue No: Vol. 10, No. 1 (2018)
  • An assessment of invasive plants on Shorter University’s campus
    • Authors: Madelyn Anderson, Michael K. Crosby
      Pages: 24 - 29(6)
      Abstract: Invasive plant species have various negative impacts on the ecosystems they invade. Studies have shown that invasive species decrease species diversity, cause economic loss, and reduce forest health and productivity. A study was designed to determine the presence of invasive plant species on Shorter University’s campus in Rome, GA, using 50 (1 m x 1 m) randomly allocated plots. From the initial assessment, it was determined that invasive plants are most prevalent along the forest edge, extending into the forest. Therefore, a forest edge study, consisting of 25 (1 m x 1 m) plots, was developed to assess the effects of invasive plants within the forest edge. Plants were identified to the species level and percent cover was estimated for the plots. Simpson’s Diversity Index was calculated to assess plant diversity in the forest edge. The study indicated that as the percent cover of invasive plants increased, so did the diversity of the plot. While native plant species diversity did decline, overall diversity increased because of the high density of invasive plants in the forest edge. The invasive plant species identified in this study included, Chinese privet (Ligustrum sinense), tree of heaven (Ailanthus altissima), English ivy (Hedera helix), wisteria (Wisteria sinensis), Asiatic Jasmine (Trachelospermum asiaticum), nandina (Nandina domestica), mimosa (Albizia julibrissin), lespedeza (Lespedeza cuneate), and kudzu (Pueraria montana). These invasive species will continue to degrade the ecosystem through their rapid spread, necessitating the need to develop strategies for effective management on Shorter University’s campus.
      PubDate: 2018-04-03
      Issue No: Vol. 10, No. 1 (2018)
  • Geospatial Assessment of Potential American Chestnut (Castanea Dentata)
           Reestablishment -- Presentation Summary
    • Authors: Siyu Zhang
      Pages: 30 - 30(1)
      Abstract: The American chestnut (Castanea dentata) was once the dominant deciduous tree species of eastern North America forests. It produced a large amount of seed and lumber and was once regarded as the perfect tree species, having also a positive ecological impact on ecosystems.  At the beginning of 20th century, two exotic fungi, Phytophthora cinnamomi and Cryphonectria parasitica killed great many C. dentata bringing its population to near extinction. By the 1950s, C. dentata lost its historical position as a dominating tree species in the United States forests; and although, some sprouts of this species can still be discovered within its native range, they are usually quickly killed by the blight.  Thanks to breeding techniques, biological control and genetic engineering, advances has been made in effort to produce blight-resistance seedlings, which are projected to succeed in production during the upcoming decades.  Even in the presence of blight-resistance seedlings production the cultivation of C. dentata species requires a full site preparation and a range of intensive management plantation silvicultural treatments. Because of the high costs associated with C. dentata reestablishment, it is important to maximize its successful development by carefully choosing the most suitable sites for its growth.The presented here study used Multi-Criteria Decision Analysis (MCDA) method to produce a spatial distribution suitability map for the reestablishment of C. Dentata in northeast Georgia.  The results of the analysis suggest that in the investigated study area there is only 3.75% of sites either unsuitable or of low suitability for rebuilding the habitats for C. dentata, while there is 58.98% of sites with high or very high suitability for such habitats, and 37.27% of sites with medium suitability.  The results indicate that soil texture, slope and soil organic matter play the most important roles for C. dentata reestablishment suitability, while climatic factors and soil pH don't play any significant role in suitability of the sites for C. dentata reestablishment.  Although, most of the suitable sites for reestablishing C. dentata are present in forests, particularly with Deciduous tree species, the results of this analysis showed no clear preferences of this species towards any specific land cover types.  Furthermore, C. dentata showed also to be indifferent to most of the topographic condition, and only slope appeared to be potentially a limiting factor if it exceeds 70% on the reestablishment sites, when they become unsuitable for the restoration. This analysis also considers the ownership of the suitable sites to evaluate the potential of the C. dentata reestablishment on our study area.  Of all the suitable sites 72.56% fall within federal lands and 27.44% in private lands.  Deciduous Forest is the main land cover type of our suitable sites owned by both the federal government and the private landowners.  Since expensive treatments are required to successfully reestablish C. dentata, the 27.44% of the land base within the considered area will be subject to the landowners’ consideration of the economic versus ecological tradeoffs, which may affect the reestablishment rate on these lands.
      PubDate: 2018-04-03
      Issue No: Vol. 10, No. 1 (2018)
  • Object-based forest cover change mapping using remote sensing in Nuristan
           Province, Afghanistan -- Poster Summary
    • Authors: Shogufa Popal
      Pages: 31 - 31(1)
      Abstract: Deforestation and forest degradation are among significant environmental issues in Afghanistan but has not been studied intensively due to insecurity, confined budget, lack of expertise, and limited accessibility to new technology. In such a situation, remote sensing technology offers practical and economical means to acquire reliable, consistent, and up-to-date information for assessing forest cover and monitoring its spatial and temporal dynamics, especially in areas where field data collection is nearly impossible. Therefore, this study aims to detect deforestation in six districts of Nuristan Province over the past three decades using object-based classification of Landsat imagery. The specific objectives to achieve the overall objective of this study are: (i) ascertaining the current status of the forest cover, (ii) mapping forest cover in 1998, 2008, and 2016, and (iii) detecting forest cover change between 1988-2008 and 2008-2016. Overall, this study can be utilized as a baseline data of forest cover and its spatial and temporal dynamics of Nuristan Province, where the effort was to exploit the potential of freely available, medium-resolution Landsat data series that might contribute in future forest management, restoration, and conservation at a local, provincial, and national level in Afghanistan.This study utilized the Landsat satellite imageries acquired from United States Geological Survey (USGS) for the years 1998, 2008, and 2016 to produce a new set of land cover (1998, 2008 and 2016) and forest cover change (1998-2008 and 2008-2016) maps for the six districts of Nuristan Province based on the use of a consistent set of methods and datasets using TNTmips Pro 2016 and eCognition Developer 9.0 softwares. The land cover maps were used to depict the land cover areas and transitions within each year, whereas the forest cover change maps indicated the extent of forest loss (deforestation) and forest gain (forest recover) together with the land and forest cover dynamics between two successive years or time-series i.e. (1998 and 2008) and (2008 and 2016) using object-based classification approach. This combination was in order to estimate the forest loss and gains, produce accurate and stable classification results, and reduce the year-to-year inconsistencies through the use of adequate numbers of training sample data. Meanwhile, the current study attempted to characterize the forest cover mapping based on its types. Overall, the research methodology comprises of (i) preprocessing of Landsat images using TNTmips (ii) object-based image classification using eCognition Developer 9.0, (iii) mapping land and forest cover change, and (iv) quantifying land cover dynamics together with forest cover loss and gains. Altogether, 13 main classes were assigned in the land cover maps with the help of hyperspectral SPOT-7 images and Google and Bing maps, whereas 3 additional change classes were added in the forest cover change maps (i) forest loss, (ii) forest gain, and (iii) seasonal snow cover.Overall, the time series land cover mapping (1998, 2008, 2016) revealed that the dense broad-leaved forests have decreased (164.89 km2) from 1998 until 2016, whereas the sparse broad-leaved forests increased gradually within the same time duration. The increase (134.95 km2) in sparse broad-leaved forests during the study period was primarily attributed to a shift from dense broad-leaved forests to sparse broad-leaved forests, which can be defined as “forest degradation”. Furthermore, between 1998 and 2008, a large area of sparse broad-leaved forests have also been degraded and converted to other vegetation class which is not considered as forest. On the other hand, the district-based forest comparisons showed that Nurgeram district contained the highest amount of the forests (48.9% in 1998, 43.92% in 2008, and 45.24% in 2016) whereas, Parun district contained the lowest coverage of the forests (12.25% in 1998, 9.86% in 2008, and 11.07% in 2016) within the study area. In addition, the findings from the forest cover change maps revealed that deforestation did not occur in a large and alarming quantity (7.26 km2) in the study area from 1998 to 2016. The results showed that the forest loss was 5.92 km2 in 1998-2008 change map, whereas forest gain was only 0.31 km2. In contrast, forest loss was decreased (1.34 km2) in 2008-2016 change map with surprisingly increase in forest area (1.24 km2). Although deforestation has not occurred in a large scale, the results illustrated that the forests have been continuously degraded during the study period, converting from dense broad-leaved forest to sparse as well as sparse to other vegetation areas. Overall, the performed accuracy assessments on the final land cover and forest cover change maps showed that the utility of high-resolution images for choosing a sufficient number of training samples in Landsat images resulted in relatively high overall accuracies (>91 %). The maps indicated that most of the land cover classes have been better distinguished after applying the classification algorithms on the segmented images. However, some inconsistencies and misclassifications between the classes were encountered during data analysis, error matrices evaluation, and visual interpretation of the generated maps, where some are highlighted and exemplified as follows. Notably, the land cover and forest cover change maps failed to detect the settlement areas precisely (< 0.39 km2), which can be assumed due to the inadequate resolution of Landsat imagery in the identification of smaller areas, topographical features, and characteristics of the settlements. Moreover, some confusions were observed in the mixed forests with dense broad-leaved and coniferous forests, which were mainly assumed to be due to the dominance of coniferous or br...
      PubDate: 2018-04-03
      Issue No: Vol. 10, No. 1 (2018)
  • Estimation of forest stand disturbance through implementation of
           Vegetation Change Tracker algorithm using Landsat time series Stacked
           imagery in coastal Georgia -- Poster Summary
    • Authors: Shingo Obata
      Pages: 32 - 32(1)
      Abstract: Knowledge of forest disturbances is the key information relevant to forest resource management and distribution of forest ecosystem structures.  The objective of this research was to identify and date forest disturbances between 1984 and 2016 on 30 meter spatial resolution Landsat images of coastal Georgia through implementation of the modified Vegetation Change Tracker algorithm.  First, we created Landsat Time Series Stack (LTSS) by stacking annual Landsat 5 TM and 8 OLI imagery, which cover WRS2- Path 17/Row 38.  We calculated the inter-band Forest Z score (IFZ) for each imagery contained in LTSS.  IFZ is a vegetation index calculated for each pixel in each year to measure the likelihood that the land use of a pixel is a forest. We have tested an algorithm automatically detecting the specific year of forest disturbance at the pixel level.  To detect the disturbance the algorithm considers the time series changes in IFZ value for each pixel.  The result of such analysis was summarized in the form of a disturbance year map, in which each pixel is assigned specific year of disturbance as its value.  We used this analysis to estimate the areas of forest disturbances in each year.  We made an accuracy assessment for the disturbance map using test points determined by a stratified sampling method.  The results of this research provide a better age class description of our study area making possible to assess its location-specific information about forest disturbances and age structure. 
      PubDate: 2018-04-03
      Issue No: Vol. 10, No. 1 (2018)
School of Mathematical and Computer Sciences
Heriot-Watt University
Edinburgh, EH14 4AS, UK
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