Supervised Classification Techniques

doi:10.1007/3-540-29711-1_8

Cited by 2 publications

(1 citation statement)

References 33 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…) is a simple concept, which assumes that similar pixels close in proximity are likely to belong to the same class. In this method, an unknown pixel is labelled by examining the training pixels and choosing the class that is most represented among a specified number of nearest neighbours (Richards and Jia, 2005). K-NN can be effective especially when the boundaries between the classes are clearly distinguished (Ose et al, 2016).…”

Section: K-nearest Neighbour (K-nnmentioning

confidence: 99%

Multispectral satellite imagery and machine learning for the extraction of shoreline indicators

McAllister

Payo

Novellino

et al. 2022

Coastal Engineering

View full text Add to dashboard Cite

Section: K-nearest Neighbour (K-nnmentioning

confidence: 99%

Multispectral satellite imagery and machine learning for the extraction of shoreline indicators

McAllister

Payo

Novellino

et al. 2022

Coastal Engineering

View full text Add to dashboard Cite

Assessment of land use/land cover dynamics of Tso Moriri Lake, a Ramsar site in India

Gupta

Shukla

2016

Environ Monit Assess

View full text Add to dashboard Cite

Wetlands accounts for 6% area of the Earth's land cover and nearly 17% of the Hindu Kush Himalayan region. They are of utmost importance to climate dynamics and are critical links between terrestrial and aquatic ecosystems. Despite the need of high attention towards conserving and managing wetland resources, mapping them is a least practiced activity. This study shows the temporal change in land use and land cover pattern of Tso Moriri Lake, the highest altitude lake in India and designated as Ramsar site in year 2002, using multi-sensor and multi-date imagery. Due to change in hydro-meteorological conditions of the region, this lake area has been reduced. Since the lake recharge is dependent on snowmelt, hence change in climatic conditions (less snowfall in winters), to a certain extent, is also responsible for the decrease in water level and water spread of the lake. The result shows that the lake area has reduced approximately 2 km in the last 15 years, and also, agriculture, grasslands, and vegetation cover have increased to a significant extent. Agricultural land and grasslands have doubled while the vegetation cover has increased more than six times, showing the coupled effect of climate change and anthropogenic activities. Trend of temperature and precipitation corroborates the effects of climate change in this region.

show abstract

Supervised Classification Techniques

Cited by 2 publications

References 33 publications

Multispectral satellite imagery and machine learning for the extraction of shoreline indicators

Multispectral satellite imagery and machine learning for the extraction of shoreline indicators

Assessment of land use/land cover dynamics of Tso Moriri Lake, a Ramsar site in India

Contact Info

Product

Resources

About