scholarly journals Remote sensing techniques for determining landcover features: applications for a species at risk

Rangifer ◽  
2017 ◽  
Vol 37 (1) ◽  
pp. 59-68
Author(s):  
Catherine Fauvelle ◽  
Rianne Diepstraten
Keyword(s):  
Remote Sensing ◽  
Conservation Biology ◽  
Supervised Classification ◽  
Landsat Imagery ◽  
Species At Risk ◽  
Telemetry Data ◽  
Future Studies ◽  
Remote Sensing Techniques ◽  
Bodies Of Water

Remote sensing techniques are becoming more advanced and commonplace in conservation biology, and are used to study spatial patterns of various taxa. The main objective of this study was to determine whether supervised classification of landcover types within Landsat imagery could be accurately used to find or locate islands on lakes that may have been overlooked during ground transects in central Saskatchewan. Additionally, we used telemetry data from collared female caribou to determine which islands were used and in which season(s), and to determine island char­acteristics that make caribou more likely to select them. We were able to successfully identify all islands within bodies of water relevant to collared caribou using a supervised classification method, which suggests that our methods were adequate. We also determined that none of the island characteristics significantly influenced caribou selection accord­ing to an occupancy model, however females tended to choose islands with a higher vegetation cover (NDVI) during the summer months and a proportionally lower snow cover during the winter months, likely as forage and predator avoidance strategies respectively. Finally, we suggest directions for future studies as well as implications for both wildlife managers and land-use planners in Saskatchewan, Canada.

scholarly journals A Machine Learning Approach to Study Glycosidase Activities from Bifidobacterium

2021 ◽  
Vol 9 (5) ◽  
pp. 1034
Author(s):  
Carlos Sabater ◽  
Lorena Ruiz ◽  
Abelardo Margolles
Keyword(s):  
Machine Learning ◽  
Supervised Classification ◽  
Machine Learning Algorithms ◽  
Learning Approach ◽  
Human Milk Oligosaccharides ◽  
Future Studies ◽  
High Fiber ◽  
Machine Learning Approach ◽  
Prebiotic Oligosaccharides

This study aimed to recover metagenome-assembled genomes (MAGs) from human fecal samples to characterize the glycosidase profiles of Bifidobacterium species exposed to different prebiotic oligosaccharides (galacto-oligosaccharides, fructo-oligosaccharides and human milk oligosaccharides, HMOs) as well as high-fiber diets. A total of 1806 MAGs were recovered from 487 infant and adult metagenomes. Unsupervised and supervised classification of glycosidases codified in MAGs using machine-learning algorithms allowed establishing characteristic hydrolytic profiles for B. adolescentis, B. bifidum, B. breve, B. longum and B. pseudocatenulatum, yielding classification rates above 90%. Glycosidase families GH5 44, GH32, and GH110 were characteristic of B. bifidum. The presence or absence of GH1, GH2, GH5 and GH20 was characteristic of B. adolescentis, B. breve and B. pseudocatenulatum, while families GH1 and GH30 were relevant in MAGs from B. longum. These characteristic profiles allowed discriminating bifidobacteria regardless of prebiotic exposure. Correlation analysis of glycosidase activities suggests strong associations between glycosidase families comprising HMOs-degrading enzymes, which are often found in MAGs from the same species. Mathematical models here proposed may contribute to a better understanding of the carbohydrate metabolism of some common bifidobacteria species and could be extrapolated to other microorganisms of interest in future studies.

scholarly journals Watershed Health Changes based on Vegetated Land Cover in the Upper Citarum Watershed, West Java, Province, Indonesia

2021 ◽  
Vol 940 (1) ◽  
pp. 012045
Author(s):  
K Marko ◽  
D Sutjiningsih ◽  
E Kusratmoko
Keyword(s):  
Remote Sensing ◽  
Land Cover ◽  
Supervised Classification ◽  
Agricultural Land ◽  
Landsat Imagery ◽  
West Java ◽  
Health Changes ◽  
The North ◽  
Health Level ◽  
Watershed Health

Abstract The increase in built-up land and the decrease in vegetated land due to human activities have worsened watershed health from time to time. This study aims to assess the watershed’s health and changes every ten years based on the percentage of vegetated land cover except agricultural land in the Upper Citarum watershed, West Java. Land cover information was obtained from the processing of Landsat imagery in 1990, 2000, 2010, and 2020 based on remote sensing using the supervised classification method. The watershed health level is determined by calculating the percentage of vegetated land cover of 173 catchments. The results show that the area of the vegetated land cover decreased from 1990 to 2000, then increased from 2000 to 2010, and decreased again from 2010 to 2020. Changes in the area of vegetated land in each period of the year affect the health level of the watershed in a spatiotemporal manner. Although these changes occur in a fluctuating manner, the number of unhealthy catchments in the Upper Citarum watershed is increasing, especially in the Ci Kapundung sub-watershed in the north and Ci Sangkuy in the south.

scholarly journals Remote sensing appraisal of Lake Chad shrinkage connotes severe impacts on green economics and socio-economics of the catchment area

2017 ◽  
Vol 4 (11) ◽  
pp. 171120 ◽  
Author(s):  
Olapeju Y. Onamuti ◽  
Emmanuel C. Okogbue ◽  
Israel R. Orimoloye
Keyword(s):  
Remote Sensing ◽  
Land Cover ◽  
Catchment Area ◽  
Supervised Classification ◽  
Economic Status ◽  
Land Use Land Cover ◽  
Economic Activities ◽  
Lake Chad ◽  
Border Communities

Lake Chad commonly serves as a major hub of fertile economic activities for the border communities and contributes immensely to the national growth of all the countries that form its boundaries. However, incessant and multi-decadal drying via climate change pose greater threats to this transnational water resource, and adverse effects on ecological sustainability and socio-economic status of the catchment area. Therefore, this study assessed the extent of shrinkage of Lake Chad using remote sensing. Landsat imageries of the lake and its surroundings between 1987 and 2005 were retrieved from Global Land Cover Facility website and analysed using Integrated Land and Water Information System version 3.3 (ILWIS 3.3). Supervised classification of area around the lake was performed into various land use/land cover classes, and the shrunk part of its environs was assessed based on the land cover changes. The shrinkage trend within the study period was also analysed. The lake water size reduced from 1339.018 to 130.686 km 2 (4.08–3.39%) in 1987–2005. The supervised classification of the Landsat imageries revealed an increase in portion of the lake covered by bare ground and sandy soil within the reference years (13 490.8–17 503.10 km 2 ) with 4.98% total range of increase. The lake portion intersected with vegetated ground and soil also reduced within the period (11 046.44–10 078.82 km 2 ) with 5.40% (967.62 km 2 ) total decrease. The shrunk part of the lake covered singly with vegetation increased by 2.74% from 1987 to 2005. The shrunk part of the lake reduced to sand and turbid water showed 5.62% total decrease from 1987 to 2005 and a total decrease of 1805.942 km 2 in area. The study disclosed an appalling rate of shrinkage and damaging influences on the hydrologic potential, eco-sustainability and socio-economics of the drainage area as revealed using ILWIS 3.3.

scholarly journals Mapeamento do Uso e Ocupação do Solo no Município de Belém de São Francisco-PE nos Anos de 1985 e 2010 (Mapping of Use and Occupancy of Soil in Town of Belém de São Francisco-PE in Years of 1985 and 2010)

2015 ◽  
Vol 7 (5) ◽  
pp. 859 ◽  
Author(s):  
Janaina Maria Oliveira de Assis ◽  
Ludmilla Oliveira Calado ◽  
Werônica Meira Souza ◽  
Maria do Carmo Sobral
Keyword(s):  
Remote Sensing ◽  
San Francisco ◽  
Supervised Classification ◽  
Bare Soil ◽  
Geographic Information ◽  
Gis And Remote Sensing ◽  
Landsat 5 Tm ◽  
Spatio Temporal ◽  
The City

R E S U M O Este artigo tem como objetivo mapear o uso e ocupação do solo no município de Belém de São Francisco, localizado na mesorregião do São Francisco, Pernambuco, na porção semiárida do nordeste brasileiro. Foram utilizadas ferramentas de Sistemas de Informações Geográficas (SIGs) e técnicas de sensoriamento remoto. Foi realizada uma classificação não-supervisionada do uso e ocupação do solo, onde foi feita a identificação de quatro temas: corpos d’água, vegetação densa, vegetação rasteira e solo exposto/área urbana, nos diferentes anos de 1985 e 2010. As imagens utilizadas foram do sensor Landsat 5 TM, coletadas no acervo de imagens do INPE. Os mapas foram elaborados no software ArcGIS 10.1, utilizando o sistema de coordenadas Sirgas2000, no fuso 24S. Os resultados mostraram diferentes fases de uso e ocupação do solo, apresentando diferentes causas de sua variação espaço-temporal, incluindo mudanças nos recursos hídricos, na vegetação e consequentemente na ocupação urbana do município.    A B S T R A C T This article aims to map the use and occupation of land in the city of Bethlehem in San Francisco , located in the middle region of the San Francisco PE in semiarid northeastern part of Brazil . Geographic Information Systems ( GIS ) and remote sensing tools were used . Water bodies , dense vegetation , low vegetation and bare soil / urban area in different years 1985 and 2010 : methodology as a non - supervised classification of the use and occupation of land , where the identification of four themes was done was done. The images used were from Landsat 5 TM , collected in the collection of images from INPE . The maps were drawn with ArcGIS 10.1 software , using SIRGAS2000 coordinate system , the spindle 24S . The results showed different phases of use and occupation of land , with different causes of their spatio-temporal variation , including changes in water resources , vegetation and consequently the urban occupation of the city .Keywords: Use and land cover, remote sensing, geographic information system.  

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