scholarly journals One-Class Classification of Natural Vegetation Using Remote Sensing: A Review

2021 ◽  
Vol 13 (10) ◽  
pp. 1892
Author(s):  
Sébastien Rapinel ◽  
Laurence Hubert-Moy
Keyword(s):  
Remote Sensing ◽  
Natural Vegetation ◽  
Open Source Data ◽  
Source Data ◽  
Good Classification ◽  
Long Term Monitoring ◽  
One Class Classification ◽  
Term Monitoring

Advances in remote sensing (RS) technology in recent years have increased the interest in including RS data into one-class classifiers (OCCs). However, this integration is complex given the interdisciplinary issues involved. In this context, this review highlights the advances and current challenges in integrating RS data into OCCs to map vegetation classes. A systematic review was performed for the period 2013–2020. A total of 136 articles were analyzed based on 11 topics and 30 attributes that address the ecological issues, properties of RS data, and the tools and parameters used to classify natural vegetation. The results highlight several advances in the use of RS data in OCCs: (i) mapping of potential and actual vegetation areas, (ii) long-term monitoring of vegetation classes, (iii) generation of multiple ecological variables, (iv) availability of open-source data, (v) reduction in plotting effort, and (vi) quantification of over-detection. Recommendations related to interdisciplinary issues were also suggested: (i) increasing the visibility and use of available RS variables, (ii) following good classification practices, (iii) bridging the gap between spatial resolution and site extent, and (iv) classifying plant communities.

scholarly journals Primary biliary cholangitis – a new nosological unit in the classification of liver diseases (literature review and own clinical observation)

2019 ◽  
pp. 76-82
Author(s):  
T. V. Penkina ◽  
E. A. Shikina ◽  
D. T. Dicheva ◽  
O. E. Berezutskaya ◽  
N. L. Golovkina ◽  
...  
Keyword(s):  
Biochemical Parameters ◽  
Clinical Observation ◽  
Primary Biliary Cholangitis ◽  
Routine Practice ◽  
Biliary Cirrhosis ◽  
Long Term Monitoring ◽  
Definition Of ◽  
Term Monitoring

Identification of changes in biochemical parameters of liver functional activity during screening studies requires additional examination of the patient in order to determine the genesis of the disease. In recent years, in routine practice, the most frequently used is an isolated definition of the level of transaminases (ALT, AST), which does not allow timely detection of latent cholestasis syndrome. Primary biliary cholangitis (PBC), previously referred to as primary biliary cirrhosis, is a relatively rare chronic autoimmune cholesthetic liver disease, predominantly affecting middle-aged women and prone to progressing liver cirrhosis. The recommendations of AASLD and EASL note the need for long-term monitoring of patients with ongoing UDCA therapy and regular diagnostic studies to identify signs of disease progression. A clinical example of successful treatment of a patient with PBC with the Russian drug Exhol® is described.

scholarly journals Long-term monitoring of NDVI changes by remote sensing to assess the vulnerability of threatened plants

2022 ◽  
Vol 265 ◽  
pp. 109428
Author(s):  
L. Matas-Granados ◽  
M. Pizarro ◽  
L. Cayuela ◽  
D. Domingo ◽  
D. Gómez ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Threatened Plants ◽  
Long Term Monitoring ◽  
Term Monitoring

LONG-TERM MONITORING OF WETLANDS VIA REMOTE SENSING AND GIS: A CASE STUDY FROM TURKEY

2018 ◽  
Author(s):  
Nebiye Musaoglu ◽  
◽  
Aysegul Tanik ◽  
M. Umit Gumusay ◽  
Adalet Dervisoglu ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Remote Sensing And Gis ◽  
Long Term Monitoring ◽  
Term Monitoring

Remote sensing data and field survey activities for monitoring the evolution of forest systems after coppicing and soil erosion: A case study in Sardinia (Italy)

2020 ◽  
Author(s):  
Filippo Giadrossich ◽  
Antonio Ganga ◽  
Sergio Campus ◽  
Ilenia Murgia ◽  
Irene Piredda ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Soil Erosion ◽  
Vegetation Indices ◽  
Monitoring Network ◽  
Remote Sensing Data ◽  
Forest Stands ◽  
Sensing Data ◽  
Long Term Monitoring ◽  
Term Monitoring

<p>The practice of coppicing is debated in the literature for the risk factors associated with soil erosion. Although erosion experiments provide useful data for estimating the susceptibility to soil erosion, there are many open questions that cannot be solved in isolated experiments, but which can be assessed by activating a long-term monitoring process. In this way, it is possible to correctly frame the spatial and temporal scale of soil erosion in coppice forests. </p><p>The aim of the work is to evaluate the effectiveness of the use of remote sensing data in combination with field data, for monitoring the evolution of forest stands interested by coppicing in relation to soil erosion. </p><p>We have installed a long-term monitoring network for erosion estimation, while Sentinel-2C satellite data were used for the period 2016-2018. Starting from this dataset, a selection of vegetation indices was calculated and compared to the morphological and topographical parameters of the study area, as well as the above-ground data collected during field activities. Using the Canonical Correspondences Analysis (CCA) the relationships between the matrix of vegetation indices, topographic and vegetational parameters and the respective performances of this protocol have been explored in order to describe the evolution of the forest stands in the study area associated to soil losses.</p>

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