Techniques of classification for landuse/landcover with special reference to forest type mapping in Jaldapara Wildlife Sanctuary, Jalpaiguri District, West Bengal—a case study

1999 ◽  
Vol 27 (4) ◽  
pp. 217-224 ◽  
Author(s):  
S. Sudhakar ◽  
G. Sridevi ◽  
I. V. Ramana ◽  
V. Venkateswara Rao ◽  
A. K. Raha
Keyword(s):  
Special Reference ◽  
West Bengal ◽  
Forest Type ◽  
Wildlife Sanctuary ◽  
Type Mapping

scholarly journals Leveraging Machine Learning to Extend Ontology-Driven Geographic Object-Based Image Analysis (O-GEOBIA): A Case Study in Forest-Type Mapping

2019 ◽  
Vol 11 (5) ◽  
pp. 503 ◽  
Author(s):  
Sachit Rajbhandari ◽  
Jagannath Aryal ◽  
Jon Osborn ◽  
Arko Lucieer ◽  
Robert Musk
Keyword(s):  
Machine Learning ◽  
Image Analysis ◽  
Classification Accuracy ◽  
Forest Type ◽  
Rule Based ◽  
Object Based Image Analysis ◽  
Type Mapping ◽  
Object Based ◽  
Geographic Object

Ontology-driven Geographic Object-Based Image Analysis (O-GEOBIA) contributes to the identification of meaningful objects. In fusing data from multiple sensors, the number of feature variables is increased and object identification becomes a challenging task. We propose a methodological contribution that extends feature variable characterisation. This method is illustrated with a case study in forest-type mapping in Tasmania, Australia. Satellite images, airborne LiDAR (Light Detection and Ranging) and expert photo-interpretation data are fused for feature extraction and classification. Two machine learning algorithms, Random Forest and Boruta, are used to identify important and relevant feature variables. A variogram is used to describe textural and spatial features. Different variogram features are used as input for rule-based classifications. The rule-based classifications employ (i) spectral features, (ii) vegetation indices, (iii) LiDAR, and (iv) variogram features, and resulted in overall classification accuracies of 77.06%, 78.90%, 73.39% and 77.06% respectively. Following data fusion, the use of combined feature variables resulted in a higher classification accuracy (81.65%). Using relevant features extracted from the Boruta algorithm, the classification accuracy is further improved (82.57%). The results demonstrate that the use of relevant variogram features together with spectral and LiDAR features resulted in improved classification accuracy.

scholarly journals A Case Study on E-Commerce: An Emerging Business Practice and Trend during and Post COVID-19 with a Special Reference to Development of North East India with the Help of E-commerce Sector

2021 ◽  
pp. 186-192
Author(s):  
Dr. Pradipta Mukhopadhyay
Keyword(s):  
Supply Chains ◽  
Special Reference ◽  
West Bengal ◽  
Secondary Data ◽  
Sampling Technique ◽  
Electronic Network ◽  
North East India ◽  
North East ◽  
Massive Growth

E-commerce or electronic commerce refers to the exchange of goods, services, funds or information between business and consumers using the electronic network where all the activities like purchasing, selling, ordering, and paying are performed over the internet. During Covid-19 Pandemic while supply chains and logistics sectors have undergone major disruptions several persons logged on to various e-commerce websites to make safe virtual purchases of various items including basic essentials such as groceries, medicines, food items along with luxury and lifestyle purchases. In this way it is observed that in-spite of various challenges such as manufacturing slowdown, transportation problem, unavailabilty of labour and disruption of national and international supply chains there has been a massive growth in the e-commerce sector during COVID-19. In this paper we will study the challenges and aspects of e-commerce during and post Covid-19 along with a Special Reference to the development of North East India with the help of e-commerce sector. In order to conduct the study both primary and secondary data have been collected by two stage sampling technique in the cities of Kolkata (West Bengal ) and Guwahati (Assam).

Deprivation of Women Migrants: A Case Study of Titagarh,Municipality, North 24 Pargana,West Bengal

2011 ◽  
Vol 3 (10) ◽  
pp. 1-6
Author(s):  
Shatarupa Dey Neogi Shatarupa Dey Neogi ◽  
◽  
Rumela Dutta
Keyword(s):  
West Bengal ◽  
Women Migrants
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