An attempt of large-scale vegetation mapping in tundra of West Chukotka

1984 ◽  
pp. 45-54 ◽  
Author(s):  
S. S. Kholod
Keyword(s):  
Large Scale ◽  
Vegetation Mapping

Large-scale vegetation mapping of the Pinega river valley (the surroundings of Golubino village, Arkhangelsk oblast)

2018 ◽  
pp. 19-39
Author(s):  
M. A. Makarova
Keyword(s):  
Plant Communities ◽  
Indicator Species ◽  
Dominant Species ◽  
Large Scale ◽  
Vegetation Mapping ◽  
River Valley ◽  
Floodplain Forests ◽  
Floodplain Vegetation ◽  
Wet Meadows ◽  
Arkhangelsk Oblast

Geobotanical survey of floodplain natural complexes near gypsum outcrops in the Pinega river valley was done in 2015. Large-scale geobotanical map of the key polygon (scale 1 : 30 000) was composed. Typological units of vegetation were selected on the basis of the composition of dominant species and groups of indicator species. Homogeneous and heterogeneous territorial units of vegetation (serial series, combinations, environmental series) were used. 53 mapped unit types (25 homogeneous types and 28 heterogeneous types) were recognized. The floodplain vegetation consists of 17 homogeneous types of plant communities, 3 series, 14 combinations and 6 ecological series. The sites of old floodplain forests, such as willow forests with Urtica sondenii rare in the Arkhangelsk region and oxbow wet meadows with Scolochloa festucacea were identified.

Classification of woody-shrub vegetation of the forest-steppe complex of Privolzhskaya Upland

2009 ◽  
pp. 27-53
Author(s):  
A. Yu. Kudryavtsev
Keyword(s):  
Plant Community ◽  
Plant Communities ◽  
Dominant Species ◽  
Large Scale ◽  
Nature Reserve ◽  
Vegetation Mapping ◽  
Vegetation Classification ◽  
Forest Steppe ◽  
Mapping Data

Diversity of plant communities in the nature reserve “Privolzhskaya Forest-Steppe”, Ostrovtsovsky area, is analyzed on the basis of the large-scale vegetation mapping data from 2000. The plant community classi­fication based on the Russian ecologic-phytocoenotic approach is carried out. 12 plant formations and 21 associations are distinguished according to dominant species and a combination of ecologic-phytocoenotic groups of species. A list of vegetation classification units as well as the characteristics of theshrub and woody communities are given in this paper.

Vegetation classification and vegetation mapping in the Himalayas

1996 ◽  
pp. 45-50 ◽  
Author(s):  
J. F. Dobremez
Keyword(s):  
Large Scale ◽  
Vegetation Type ◽  
Vegetation Mapping ◽  
Small Areas ◽  
Botanical Exploration ◽  
Central Nepal ◽  
History Of Vegetation ◽  
History Of ◽  
Vegetation Maps ◽  
Vegetation Series

In the introduction the history of botanical exploration of the Himalayas is considered starting from the late XVIIIth century up to present time. The next part of the article is devoted to the history of vegetation mapping proper. Vegetation maps relating to the Himalayas as a whole and to its different parts are enumerated including the vegetation map of Nepal in 8 sheets at scale 1 : 2 500 000 by the author (1971 to 1985) and his two large-scale maps (1 : 50 000) covering small areas in Eastern and Central Nepal (1974 and 1977). The above vegetation maps have been constructed using the basic concepts of vegetation level and vegetation series by Gaussen and Ozenda along with the biogeographic concept taking into account the diversity of flora and vegetation. The concept of vegetation level reflects the altitudinal zonation of vegetation, 11 vegetation levels being distinguished in Central Himalayas. The other basic concept is that of vegetation series depicting the dynamics of vegetation cover with respect to human activity. One series includes all the vegetation types which terminate, by natural evolution, in one climax vegetation type (potential vegetation). For Nepal about 100 vegetation series have been described and mapped.

Dynamics of the protected ash-oak «Vorskla River Forest»

2001 ◽  
pp. 71-86 ◽  
Author(s):  
V. N. Ukhachova ◽  
E. I. Lomova
Keyword(s):  
Large Scale ◽  
Forest Type ◽  
Plant Cover ◽  
Vegetation Mapping ◽  
Forest Steppe ◽  
Mapping Data ◽  
Study Region ◽  
Vegetation Communities ◽  
Russian Forest ◽  
Dynamics Of Vegetation

The diversity and dynamics of vegetation communities of the ash-oak «Vorskla River Forest» which represents the zonal forest type of the Middle-Russian forest-steppe is analyzed on the basis of the large-scale vegetation mapping data of 1958, 1964, 1984, and 1996. The plant cover mesophylization trend, connected with the proper changes of the climate in the study region, can be traced through the period of observation.

Spatial structure of vegetation of the forb-feathergrass steppe subzone in the Southern West-Siberian Plain (Northern Kulunda)

1996 ◽  
pp. 16-33 ◽  
Author(s):  
B. B. Namzalov
Keyword(s):  
Spatial Structure ◽  
Vegetation Cover ◽  
Large Scale ◽  
Standard Sample ◽  
Arable Land ◽  
Vegetation Mapping ◽  
West Siberian Plain ◽  
Vegetation Map ◽  
Territorial Unit ◽  
Heterogeneous Vegetation

The standard sample area of 50 km2 for large-scale vegetation mapping has been taken on the water-shad of Bagan and Karasu rivers. Relief of the region is formed byelongate hills («griva») and depressions between them. The hills are occupied by arable land whereas the depressions are covered by natural vegetation. The main reguliarities of vegetation cover are presented on the vegetation map at 1 : 100 000 scale (fig. 1). 25 of the 31 numbers of the legend represent heterogeneous vegetation; these are territorial units, combinations sensu S. A. Gribova and T. I. Isachenko (1972) or phytocoenochoras after V. B. Sochava (1979). All the heterogeneous territorial units are subdivided into two categories – microcombinations and mezo-combinations. While the formers include complexes and microzonal series, the latters include ecological series and combinations. The inner diversity of territorial units is reflected in more details on the key plot of 100 x 100 m showing the vegetation of a small interhill depression with salt-rich soils. Through the comparison of different scale schematic pictures – 1 : 1000 (fig. 2a), 1 : 10 000 (fig. 2б), 1 : 50 000 (fig. 2в) – the process of generalization of territorial unit structures is illustrated, starting from the complexes, proceeding to microzonal series and, finally, to mezocombinations. The main territorial unit for large-scale and middle-scale maps is mezocombinations.

scholarly journals Sentinel-1 and 2 Time-Series for Vegetation Mapping Using Random Forest Classification: A Case Study of Northern Croatia

2021 ◽  
Vol 13 (12) ◽  
pp. 2321
Author(s):  
Dino Dobrinić ◽  
Mateo Gašparović ◽  
Damir Medak
Keyword(s):  
Time Series ◽  
Random Forest ◽  
Digital Elevation Model ◽  
Large Scale ◽  
Time Series Data ◽  
Vegetation Mapping ◽  
Series Data ◽  
Reference Dataset ◽  
Digital Elevation ◽  
Elevation Model

Land-cover (LC) mapping in a morphologically heterogeneous landscape area is a challenging task since various LC classes (e.g., crop types in agricultural areas) are spectrally similar. Most research is still mostly relying on optical satellite imagery for these tasks, whereas synthetic aperture radar (SAR) imagery is often neglected. Therefore, this research assessed the classification accuracy using the recent Sentinel-1 (S1) SAR and Sentinel-2 (S2) time-series data for LC mapping, especially vegetation classes. Additionally, ancillary data, such as texture features, spectral indices from S1 and S2, respectively, as well as digital elevation model (DEM), were used in different classification scenarios. Random Forest (RF) was used for classification tasks using a proposed hybrid reference dataset derived from European Land Use and Coverage Area Frame Survey (LUCAS), CORINE, and Land Parcel Identification Systems (LPIS) LC database. Based on the RF variable selection using Mean Decrease Accuracy (MDA), the combination of S1 and S2 data yielded the highest overall accuracy (OA) of 91.78%, with a total disagreement of 8.22%. The most pertinent features for vegetation mapping were GLCM Mean and Variance for S1, NDVI, along with Red and SWIR band for S2, whereas the digital elevation model produced major classification enhancement as an input feature. The results of this study demonstrated that the aforementioned approach (i.e., RF using a hybrid reference dataset) is well-suited for vegetation mapping using Sentinel imagery, which can be applied for large-scale LC classifications.

Large-Scale vegetation mapping in Norway

1975 ◽  
Vol 2 (3-4) ◽  
pp. 388-395
Author(s):  
Olav Hesjedal
Keyword(s):  
Large Scale ◽  
Vegetation Mapping
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