Comparing Deep Recurrent Learning and Convolutional Learning for Multi-Temporal Vegetation Classification

2021 ◽  
Author(s):  
Khadidja Bakhti ◽  
Mohammed El Amin Larabi
Keyword(s):  
Vegetation Classification ◽  
Multi Temporal

Vegetation classification of East China with multi-temporal NOAA-AVHRR data

2006 ◽  
Vol 1 (3) ◽  
pp. 303-309
Author(s):  
Junxiang Li ◽  
Liangjun Da ◽  
Yujie Wang ◽  
Yongchang Song
Keyword(s):  
Vegetation Classification ◽  
East China ◽  
Noaa Avhrr ◽  
Avhrr Data ◽  
Multi Temporal

scholarly journals VEGETATION CLASSIFICATION OF EAST CHINA USING MULTI-TEMPORAL NOAA-AVHRR DATA

2005 ◽  
Vol 29 (3) ◽  
pp. 436-443
Author(s):  
LI Jun-Xiang ◽  
◽  
DA Liang-Jun ◽  
WANG Yu-Jie ◽  
SONG Yong-Chang
Keyword(s):  
Vegetation Classification ◽  
East China ◽  
Noaa Avhrr ◽  
Avhrr Data ◽  
Multi Temporal

The Relationship Between Leader–Member Exchange and Employees’ Proactive Behaviors

2019 ◽  
Vol 18 (2) ◽  
pp. 106-111
Author(s):  
Fong-Yi Lai ◽  
Szu-Chi Lu ◽  
Cheng-Chen Lin ◽  
Yu-Chin Lee
Keyword(s):  
Hierarchical Linear Modeling ◽  
Future Research ◽  
Leader Member Exchange ◽  
Voice Behavior ◽  
Linear Modeling ◽  
Team Members ◽  
Member Exchange ◽  
Multi Temporal ◽  
The Relationship ◽  
Practical Implications

Abstract. The present study proposed that, unlike prior leader–member exchange (LMX) research which often implicitly assumed that each leader develops equal-quality relationships with their supervisors (leader’s LMX; LLX), every leader develops different relationships with their supervisors and, in turn, receive different amounts of resources. Moreover, these differentiated relationships with superiors will influence how leader–member relationship quality affects team members’ voice and creativity. We adopted a multi-temporal (three wave) and multi-source (leaders and employees) research design. Hypotheses were tested on a sample of 227 bank employees working in 52 departments. Results of the hierarchical linear modeling (HLM) analysis showed that LLX moderates the relationship between LMX and team members’ voice behavior and creative performance. Strengths, limitations, practical implications, and directions for future research are discussed.

Multi-temporal Hyperspectral Images Unmixing and Classification Based on 3D Signature Model and Matching

PIERS Online ◽  
2010 ◽  
Vol 6 (5) ◽  
pp. 480-484 ◽  
Author(s):  
Imed Riadh Farah ◽  
Selim Hemissi ◽  
Karim Saheb Ettabaa ◽  
Bassel Souleiman
Keyword(s):  
Hyperspectral Images ◽  
Multi Temporal

The problem of the primary reduction of species in the analysis of general geobotanical tables and the elaboration of analytic programs

2001 ◽  
pp. 99-106 ◽  
Author(s):  
Yu. N. Neshatayev
Keyword(s):  
Vegetation Classification ◽  
Sample Plot ◽  
Herb Layer ◽  
Huge Amount ◽  
Species List ◽  
Community Types ◽  
Primary Reduction

If one processes a huge amount of data when es­tabli­shing the vegetation classification, it appears necessary to use the uniform algorithms of analysis. Such goals as distinguishing the reliable community types (associations or other syntaxa) involve the operational reduction of either the species list, or (more seldom) the sample plot set. This is especially useful for the analysis of multi­specific communities of meadows, steppes, or another types of markedly continuous polydominant vegetation with «fuzzy» structure of the herb layer.

Second International scientific conference «Vegetation of Eastern Europe and Northern Asia» (Bryansk, 12­–13 October 2020)

2020 ◽  
pp. 149-153
Author(s):  
V. V. Neshataev ◽  
D. D. Karsonova ◽  
A. A. Kurka
Keyword(s):  
Eastern Europe ◽  
Vegetation Classification ◽  
Scientific Conference ◽  
State University ◽  
Research Projects ◽  
Joint Research ◽  
Northern Asia ◽  
Oral Presentations ◽  
Made In ◽  
Second International

On October 12th and 13th, 2020, Bryansk State University held an international scientific online conference "Vegetation of Eastern Europe and Northern Asia". The Proceedings of abstracts includes 66 reports by 118 authors and co-authors from 5 countries, 34 localities and 51 organizations. During the meeting, 41 oral presentations were made. In conclusion, it was noted that it is necessary to promote an integration of geobotanists and florists from different regions in order to implement joint research projects. In particular, this concerns a project of making a vegetation classification in Russia.

Second international scientific conference «Present fundamental problems of vegetation classification» (Yalta, 15–20 September 2019)

2019 ◽  
pp. 135-142
Author(s):  
K. V. Ivanova ◽  
A. M. Lapina ◽  
V. V. Neshataev
Keyword(s):  
Plant Communities ◽  
National Archive ◽  
Botanical Garden ◽  
Vegetation Classification ◽  
Scientific Conference ◽  
Scientific Journals ◽  
Time Dynamics ◽  
The Past ◽  
Research Organizations

The 2nd international scientific conference «Fundamental problems of vegetation classification» took place at the Nikitskiy Botanical Garden (Yalta, Republic of Crimea, Russia) on 15–20 September 2019. There were 56 participants from 33 cities and 43 research organizations in Russia. The conference was mostly focused on reviewing the success in classification of the vegetation done by Russian scientists in the past three years. The reports covered various topics such as classification, description of new syntaxonomical units, geobotanical mapping for different territories and types of vegetation, studies of space-time dynamics of plant communities. The final discussion on the last day covered problems yet to be solved: establishment of the Russian Prodromus and the National archive of vegetation, complications of higher education in the profile of geobotany, and the issue of the data leakage to foreign scientific journals. In conclusion, it was announced that the 3rd conference in Nikitskiy Botanical Garden will be held in 2022.

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