Results 31 to 40 of about 3,103,775 (206)

Testing a New Ensemble Vegetation Classification Method Based on Deep Learning and Machine Learning Methods Using Aerial Photogrammetric Images

Frontiers in Environmental Science, 2022
The objective of this research is to report results from a new ensemble method for vegetation classification that uses deep learning (DL) and machine learning (ML) techniques.
Siniša Drobnjak, M. Stojanović, Dejan Djordjevic, Saša Bakrač, Jasmina M. Jovanovic, Aleksandar Djordjević   +5 more
semanticscholar   +1 more source

Vegetation Classification in Urban Areas by Combining UAV-Based NDVI and Thermal Infrared Image

Applied Sciences, 2022
Vegetation has become very important decision-making information in promoting tasks such as urban regeneration, urban planning, environment, and landscaping.
Geunsang Lee, Gyeonggyu Kim, Gyeongjo Min, Minju Kim, Seunghyun Jung, Jeewook Hwang, Sangho Cho   +6 more
semanticscholar   +1 more source

Proposal (32) to conserve the name Agrostion castellanae with a conserved type [PDF]

Vegetation Classification and Survey (VCS), 2023
The alliance name Agrostion castellanae has been widely used for nearly sixty years to indicate a type of acidophilic perennial grasslands occurring in the Iberian Peninsula.
Massimo Terzi, Federico Fernández-González, Romeo Di Pietro, Jean-Paul Theurillat   +3 more
doaj   +3 more sources

Integration of vegetation classification with land cover mapping: lessons from regional mapping efforts in the Americas

Vegetation Classification and Survey, 2022
Aims: Natural resource management and biodiversity conservation rely on inventories of vegetation that span multiple management or political jurisdictions.
P. Comer, Jon C Hak, D. Dockter, Jim Smith   +3 more
semanticscholar   +1 more source

Xeric grasslands of the inner-alpine dry valleys of Austria – new insights into syntaxonomy, diversity and ecology [PDF]

Vegetation Classification and Survey (VCS), 2021
Aims: We studied the syntaxonomic position, biodiversity, ecological features, nature conservation value and current status of dry grasslands investigated by Josias Braun-Blanquet more than 60 years ago.
Martin Magnes, Wolfgang Willner, Monika Janišová, Helmut Mayrhofer, Elías Afif Khouri, Christian Berg, Anna Kuzemko, Philipp Kirschner, Riccardo Guarino, Harald Rötzer, Elena Belonovskaya, Asun Berastegi, Idoia Biurrun, Itziar García-Mijangos, Ermin Masic, Jürgen Dengler, Iwona Dembicz   +16 more
doaj   +3 more sources

Vegetation classification of Stipa steppes in China, with reference to the International Vegetation Classification

Vegetation Classification and Survey, 2022
Aims: The vegetation classification system of China (China-VCS) is not completed. Stipa steppes are the most important steppes in China. Here we made optimal use of available plot data to classify Stipa steppes into associations in a way that is consistent with International Vegetation Classification.
Changcheng Liu, Xianguo Qiao, Ke Guo, Liqing Zhao, Qingmin Pan   +4 more
openaire   +2 more sources

First vegetation-plot database of woody species from Huíla province, SW Angola [PDF]

Vegetation Classification and Survey (VCS), 2021
Angola is a country in south-central Africa, particularly rich in biodiversity. Despite the efforts recently made to document its biodiversity, there is a need for standardized sampling methods to document and compare the variety of ecosystems and plants
Francisco M.P. Gonçalves, António V. Chisingui, José C. Luís, Marina F.F. Rafael, José J. Tchamba, Manuel J. Cachissapa, Isaías M.C. Caluvino, Bernardino R. Bambi, José L.M. Alexandre, Magno D.G. Chissingui, Silva K.A. Manuel, Henrique D. Jacinto, Manfred Finckh, Paulina Meller, Norbert Jürgens, Rasmus Revermann   +15 more
doaj   +3 more sources

Climatic definitions of the world’s terrestrial biomes [PDF]

Vegetation Classification and Survey (VCS), 2022
Question: Is it feasible to establish a classification of large biotic units of the world related to climatic types? Study area: The world. Methods: A total of 616 localities have been selected, their climatic parameters calculated and subjected to a PCA.
Javier Loidi, Gonzalo Navarro-Sánchez, Denys Vynokurov   +2 more
doaj   +3 more sources

Comparison of silhouette‐based reallocation methods for vegetation classification

Journal of Vegetation Science, 2021
Aims: To introduce REMOS, a new iterative reallocation method (with two variants) for vegetation classification, and to compare its performance with OPTSIL.
A. Lengyel, D. Roberts, Z. Botta‐Dukát   +2 more
semanticscholar   +1 more source

Aligning quantitative vegetation classification and landscape scale mapping: updating the classification approach of the Regional Ecosystem classification system used in Queensland

Australian Journal of Botany, 2021
Vegetation classification systems form a base for conservation management and the ecological exploration of the patterns and drivers of species’ distributions. A standardised system crossing administrative and geographical boundaries is widely recognised
E. Addicott, V. Neldner, T. Ryan
semanticscholar   +1 more source