1 resultado para CASE SERIES
em RUN (Repositório da Universidade Nova de Lisboa) - FCT (Faculdade de Cienecias e Technologia), Universidade Nova de Lisboa (UNL), Portugal
Filtro por publicador
- Abertay Research Collections - Abertay University’s repository (1)
- Aberystwyth University Repository - Reino Unido (1)
- Academic Archive On-line (Stockholm University; Sweden) (1)
- Acceda, el repositorio institucional de la Universidad de Las Palmas de Gran Canaria. España (1)
- AMS Tesi di Dottorato - Alm@DL - Università di Bologna (4)
- AMS Tesi di Laurea - Alm@DL - Università di Bologna (3)
- Aquatic Commons (3)
- ArchiMeD - Elektronische Publikationen der Universität Mainz - Alemanha (1)
- Archive of European Integration (12)
- Archivo Digital para la Docencia y la Investigación - Repositorio Institucional de la Universidad del País Vasco (3)
- Aston University Research Archive (21)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (32)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (BDPI/USP) (4)
- Biblioteca Digital de Teses e Dissertações Eletrônicas da UERJ (1)
- Bioline International (2)
- BORIS: Bern Open Repository and Information System - Berna - Suiça (164)
- Boston University Digital Common (1)
- Brock University, Canada (2)
- Brunel University (1)
- Bulgarian Digital Mathematics Library at IMI-BAS (4)
- CaltechTHESIS (1)
- CentAUR: Central Archive University of Reading - UK (33)
- Centro Hospitalar do Porto (1)
- Chinese Academy of Sciences Institutional Repositories Grid Portal (8)
- Cochin University of Science & Technology (CUSAT), India (1)
- Collection Of Biostatistics Research Archive (2)
- Comissão Econômica para a América Latina e o Caribe (CEPAL) (4)
- CORA - Cork Open Research Archive - University College Cork - Ireland (1)
- Corvinus Research Archive - The institutional repository for the Corvinus University of Budapest (3)
- Dalarna University College Electronic Archive (1)
- Deakin Research Online - Australia (44)
- DI-fusion - The institutional repository of Université Libre de Bruxelles (1)
- Digital Commons - Montana Tech (1)
- Digital Commons @ DU | University of Denver Research (1)
- Digital Commons at Florida International University (9)
- DigitalCommons@The Texas Medical Center (14)
- DigitalCommons@University of Nebraska - Lincoln (1)
- DRUM (Digital Repository at the University of Maryland) (1)
- Duke University (4)
- eResearch Archive - Queensland Department of Agriculture; Fisheries and Forestry (2)
- FUNDAJ - Fundação Joaquim Nabuco (1)
- Helda - Digital Repository of University of Helsinki (5)
- Hospitais da Universidade de Coimbra (2)
- Hospital Prof. Dr. Fernando Fonseca - Portugal (1)
- Indian Institute of Science - Bangalore - Índia (9)
- Instituto Politécnico de Castelo Branco - Portugal (1)
- Instituto Politécnico de Viseu (2)
- Memorial University Research Repository (1)
- Ministerio de Cultura, Spain (1)
- National Center for Biotechnology Information - NCBI (4)
- Nottingham eTheses (2)
- Plymouth Marine Science Electronic Archive (PlyMSEA) (3)
- Portal de Revistas Científicas Complutenses - Espanha (3)
- Publishing Network for Geoscientific & Environmental Data (20)
- QSpace: Queen's University - Canada (1)
- QUB Research Portal - Research Directory and Institutional Repository for Queen's University Belfast (44)
- Queensland University of Technology - ePrints Archive (161)
- RCAAP - Repositório Científico de Acesso Aberto de Portugal (4)
- ReCiL - Repositório Científico Lusófona - Grupo Lusófona, Portugal (1)
- Repositorio de la Universidad de Cuenca (1)
- Repositório digital da Fundação Getúlio Vargas - FGV (3)
- Repositório do Centro Hospitalar de Lisboa Central, EPE - Centro Hospitalar de Lisboa Central, EPE, Portugal (1)
- Repositório Institucional da Universidade Federal do Rio Grande do Norte (2)
- Repositório Institucional dos Hospitais da Universidade Coimbra (2)
- Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho" (62)
- Royal College of Art Research Repository - Uninet Kingdom (1)
- RUN (Repositório da Universidade Nova de Lisboa) - FCT (Faculdade de Cienecias e Technologia), Universidade Nova de Lisboa (UNL), Portugal (1)
- SAPIENTIA - Universidade do Algarve - Portugal (1)
- School of Medicine, Washington University, United States (2)
- Scientific Open-access Literature Archive and Repository (1)
- Universidad de Alicante (13)
- Universidad del Rosario, Colombia (37)
- Universidad Politécnica de Madrid (11)
- Universidade Complutense de Madrid (1)
- Universidade de Lisboa - Repositório Aberto (6)
- Universidade Estadual Paulista "Júlio de Mesquita Filho" (UNESP) (1)
- Universidade Federal do Pará (3)
- Universidade Federal do Rio Grande do Norte (UFRN) (6)
- Universidade Técnica de Lisboa (2)
- Universitat de Girona, Spain (1)
- Université de Lausanne, Switzerland (4)
- Université de Montréal (2)
- Université de Montréal, Canada (7)
- University of Canberra Research Repository - Australia (1)
- University of Connecticut - USA (1)
- University of Michigan (10)
- University of Queensland eSpace - Australia (15)
- University of Washington (1)
- WestminsterResearch - UK (2)
- Worcester Research and Publications - Worcester Research and Publications - UK (2)
Resumo:
The forest has a crucial ecological role and the continuous forest loss can cause colossal effects on the environment. As Armenia is one of the low forest covered countries in the world, this problem is more critical. Continuous forest disturbances mainly caused by illegal logging started from the early 1990s had a huge damage on the forest ecosystem by decreasing the forest productivity and making more areas vulnerable to erosion. Another aspect of the Armenian forest is the lack of continuous monitoring and absence of accurate estimation of the level of cuts in some years. In order to have insight about the forest and the disturbances in the long period of time we used Landsat TM/ETM + images. Google Earth Engine JavaScript API was used, which is an online tool enabling the access and analysis of a great amount of satellite imagery. To overcome the data availability problem caused by the gap in the Landsat series in 1988- 1998, extensive cloud cover in the study area and the missing scan lines, we used pixel based compositing for the temporal window of leaf on vegetation (June-late September). Subsequently, pixel based linear regression analyses were performed. Vegetation indices derived from the 10 biannual composites for the years 1984-2014 were used for trend analysis. In order to derive the disturbances only in forests, forest cover layer was aggregated and the original composites were masked. It has been found, that around 23% of forests were disturbed during the study period.