Selection of Spectral Bands for Recognizing Plant Species by Reflection Characteristics in the Optical Region

1998 ◽  
Vol 52 (10) ◽  
pp. 83-86
Author(s):  
D. M. Piza ◽  
S. V. Morshchavka
Keyword(s):  
Plant Species ◽  
Spectral Bands ◽  
Optical Region ◽  
Reflection Characteristics ◽  
Selection Of

scholarly journals Prioritization and Selection of High Biomass Energy Producing Plant Species at Boset District, Central Ethiopia: An Ethnobotanical Approach 

2021 ◽  
Author(s):  
Tinsae Bahru Yifru ◽  
Berhane Kidane ◽  
Amsalu Tolessa
Keyword(s):  
Plant Species ◽  
Sustainable Use ◽  
Biomass Energy ◽  
Calotropis Procera ◽  
Sampled Data ◽  
High Biomass ◽  
Structured Interviews ◽  
Acacia Senegal ◽  
Selection Of Species ◽  
Selection Of

Abstract Background: In Ethiopia, about 92.3% of all the biomass energy is consumed by domestic households and the demand is growing from 10-14%. However, there are little/no practical experiences or documented indigenous knowledge on how traditional people identify and select high biomass producing plant species with short rotation periods at Boset District. Therefore, the present study was aimed at: (1) selecting and documenting high biomass energy producing plant species at Boset District; (2) identifying major predictor variables that influence the prioritization and selection of species; and (3) develop a Generalized Linear Model (GLM) to predict the selection of species. Methods: A total of 96 informants comprising 59 men and 37 women between the ages of 18 and 81 were sampled. Data were collected using structured interviews, guided field walk, discussions and field observations. Results: Collected data indicated that 88.5% of the informants involved in firewood collection, while 90% practiced charcoal making. A total of 1533.60 Birr per household on average was earned annually from this activity. A total of 25 firewood and/or charcoal plant species were identified and documented at Boset District. Of these, Acacia senegal, Acacia tortilis and Acacia robusta were the three best prioritized and selected indigenous high biomass producing species. Prosopis juliflora, Parthenium hysterophorus, Azadirachta indica, Calotropis procera, Cryptostegia grandiflora, Lantana camara and Senna occidentalis further grouped under introduced fuelwood species. Prediction of GLM assured sampled Kebeles and source of income generated from fuelwood species positively and significantly (p<0.001) related to selection of species. Higher efficiency to provide energy and heat; little or no smoke or soot; easier to cut and split the wood and easier availability were some of the main selection criteria. Conclusions: This study provides valuable information in selection and documenting of high biomass producing plant species for proper management and sustainable use at Boset District. The three most selected species (A. senegal, A. tortilis and A. robusta) should be further evaluated at laboratory to determine their energy values.

scholarly journals Relationships of NDVI, Biomass, and Leaf Area Index (LAI) for six key plant species in Barrow, Alaska

2015 ◽  
Author(s):  
Santonu Goswami ◽  
John Gamon ◽  
Sergio Vargas ◽  
Craig Tweedie
Keyword(s):  
Leaf Area Index ◽  
Leaf Area ◽  
Plant Species ◽  
Vegetation Index ◽  
Plant Biomass ◽  
Plant Cover ◽  
Strongly Correlated ◽  
Area Index ◽  
Spectral Bands ◽  
Biomass Plant

Here we investigate relationships between NDVI, Biomass, and Leaf Area Index (LAI) for six key plant species near Barrow, Alaska. We explore how key plant species differ in biomass, leaf area index (LAI) and how can vegetation spectral indices be used to estimate biomass and LAI for key plant species. A vegetation index (VI) or a spectral vegetation index (SVI) is a quantitative predictor of plant biomass or vegetative vigor, usually formed from combinations of several spectral bands, whose values are added, divided, or multiplied in order to yield a single value that indicates the amount or vigor of vegetation. For six key plant species, NDVI was strongly correlated with biomass (R2 = 0.83) and LAI (R2 = 0.70) but showed evidence of saturation above a biomass of 100 g/m2 and an LAI of 2 m2/m2. Extrapolation of a biomass-plant cover model to a multi-decadal time series of plant cover observations suggested that Carex aquatilis and Eriophorum angustifolium decreased in biomass while Arctophila fulva and Dupontia fisheri increased 1972-2008.

Development of context specific sustainability criteria for selection of plant species for green urban infrastructure: The case of Singapore

2019 ◽  
Vol 20 ◽  
pp. 316-325 ◽  
Author(s):  
Mohanasundar Radhakrishnan ◽  
Indira Kenzhegulova ◽  
M.G. Eloffy ◽  
W.A. Ibrahim ◽  
Chris Zevenbergen ◽  
...  
Keyword(s):  
Plant Species ◽  
Urban Infrastructure ◽  
Sustainability Criteria ◽  
Context Specific ◽  
Criteria For Selection ◽  
Selection Of

scholarly journals Selection of potential Indonesian plant species for antioxidant

2020 ◽  
Vol 457 ◽  
pp. 012040
Author(s):  
K Kartini ◽  
F Setiawan ◽  
J Sukweenadhi ◽  
O Yunita ◽  
C Avanti
Keyword(s):  
Plant Species ◽  
Selection Of

scholarly journals Selection of plant species for permanent ground cover in vineyards: Looking for an agronomic and environmental optimum

2019 ◽  
Vol 15 ◽  
pp. 01007
Author(s):  
N. Delabays ◽  
A.F. Grogg ◽  
M. Mota ◽  
U. Piantini
Keyword(s):  
Plant Species ◽  
Plant Protection ◽  
Ground Cover ◽  
Plant Protection Products ◽  
Climatic Conditions ◽  
Soil Protection ◽  
Green Cover ◽  
Increased Risk ◽  
Seed Mixture ◽  
Selection Of

The installation of a permanent ground cover in vineyards offers numerous agronomic (soil protection, soil fertility) and environmental (reduced leaching of nutrients and of plant protection products, reduced use of herbicides, biodiversity) benefits. Nevertheless, such ground covers are not always free of drawbacks (competition for water and nitrogen, increased risk of frost, management). For the growers, the challenge is to manage the green ground covers in such a way as to preserve their advantages while limiting these drawbacks. Among the tools available to the winegrower is the sowing of a seed mixture composed of selected species: a choice depending of the soil and climatic conditions of the parcel, but also of the different, and sometime contradictory, objectives of the grower. This paper lists the agronomic and environmental issues addressed by the installation of a permanent ground cover in vineyards. It describes two concrete situations – ground cover for vineyards integrated in agro-ecological networks and green cover on the row of vines (as alternative to glyphosate) – for which, according to the objectives and the impacts, a choice of plant species is proposed. At last, it presents the trials now carried out to validate and optimize those selections, as well as the first observations and results gathered to date.

Threatened species not necessarily rare, rare species not necessarily threatened

1997 ◽  
Vol 24 (3) ◽  
pp. 207-209 ◽  
Author(s):  
ALF OREDSSON
Keyword(s):  
Plant Species ◽  
Vascular Plant ◽  
Threatened Plants ◽  
World Conservation ◽  
Red Data Book ◽  
Vascular Plant Species ◽  
Data Book ◽  
Selection Of Species ◽  
Of Greece ◽  
Selection Of

In the beautifully-illustrated book of rare and threatened plants of Greece (Phitos et al. 1995), the selection of species is based strictly on the four World Conservation Union (IUCN) categories of ‘extinct’, ‘endangered’, ‘vulnerable’ and ‘rare’ (Lucas & Synge 1978). The Swedish ‘red data’ book of plants (Aronsson et al. 1995) adds ‘care-demanding species’ to the list. Five percent of the total number of vascular plant species in Greece are included in the Greek book, while 23% of the vascular plant species in Sweden are in the Swedish book. This latter percentage may appear to be sufficiently large, but is it?

Evaluating the Potential of Clonal Selection Optimization Algorithm to Hyperspectral Image Feature Selection

2012 ◽  
Vol 500 ◽  
pp. 799-805 ◽  
Author(s):  
Farhad Samadzadegan ◽  
Shahin Rahmatollahi Namin ◽  
Mohammad Ali Rajabi
Keyword(s):  
Feature Selection ◽  
Optimization Algorithm ◽  
Hyperspectral Image ◽  
Clonal Selection ◽  
Fitness Function ◽  
Hyperspectral Images ◽  
Image Feature ◽  
Spectral Bands ◽  
Selection Algorithms ◽  
Selection Of

The great number of captured near spectral bands in hyperspectral images causes the curse of dimensionality problem and results in low classification accuracy. The feature selection algorithms try to overcome this problem by limiting the input space dimensions of classification for hyperspectral images. In this paper, immune clonal selection optimization algorithm is used for feature selection. Also one of the fastest Artificial Immune classification algorithms is used to compute fitness function of the feature selection. The comparison of the feature selection results with genetic algorithm shows the clonal selection’s higher performance to solve selection of features.

scholarly journals Response of Selected Nursery Crop Plants to Inoculation with Isolates of Phytophthora ramorum and Other Phytophthora Species

2006 ◽  
Vol 16 (2) ◽  
pp. 216-224 ◽  
Author(s):  
R.G. Linderman ◽  
E.A. Davis ◽  
J.L. Marlow
Keyword(s):  
Plant Species ◽  
The United States ◽  
Phytophthora Species ◽  
Phytophthora Ramorum ◽  
Experimental Conditions ◽  
Pathogen Virulence ◽  
Detached Leaves ◽  
Nursery Crops ◽  
Relative Differences ◽  
Selection Of

Many nursery crops are susceptible to root and foliage diseases caused by numerous species of Phytophthora. Phytophthora ramorum causes sudden oak death of trees and ramorum leaf blight and shoot dieback on numerous nursery plants, including rhododendron (Rhododendron spp.), viburnum (Viburnum spp.), pieris (Pieris spp.), and camellia (Camellia spp.) in Europe, the United States, and British Columbia, Canada. We sought to evaluate relative susceptibility of a selection of ornamental nursery crops by inoculating detached leaves with several species of Phytophthora known to infect rhododendrons, and to compare the relative virulence on those species to isolates of P. ramorum. The results indicated that many plants were susceptible under these experimental conditions, while others were not. On a given host, symptoms caused by all species of Phytophthora were identical except for differences in pathogen virulence. Plant species were identical except for differences in pathogen virulence. Plant species within genera or cultivars within species varied in susceptibility to isolates of P. ramorum and other species of Phytophthora. Phytophthora ramorum, P. citricola, P. citrophthora, and P. nicotianae were the most virulent pathogens on most of the host plants inoculated. Some plants were susceptible to several species of Phytophthora, while others were susceptible only to P. ramorum. Inoculation of detached leaves of `Nova Zembla' rhododendron, lilac (Syringa vulgaris), or doublefile viburnum (Viburnum plicatum var. tomentosum) under controlled conditions with different species of Phytophthora or isolates of P. ramorum (both mating types) indicated significant relative differences in species or isolate virulence.

Sign in / Sign up

Export Citation Format

Share Document