This study aims to classify Landsat 8 satellite data using NDVI thresholds. Initially, visible
and near infrared bands of Landsat 8 satellite were used to derive Normalized Different …

The Normalized Difference Vegetation Index (NDVI) is one of the most widely used
numerical indicator that uses the visible (VIS) and near-infrared bands (NIR) of the …

Recently the sensing data for urban mapping used is in high demand together with the
accessible of very high resolution (VHR) satellite data such as Worldview and Pleiades. This …

This paper presents an improved method for the analysis of satellite image based on
Normalized Difference Vegetation Index (NDVI). The method employs the multi-spectral …

Classification of remotely sensed data requires the modelling of suitable image processing
algorithms. The rise of machine learning systems upgraded the viability of satellite image …

Various indices are used for assessing vegetation and soil properties in satellite remote
sensing applications. Some indices, such as normalized difference vegetation index (NDVI) …

Vegetation is one of the most important components of the ecosystems. Knowledge about
variations in vegetation species and community distribution patterns, alternations in …

Remote sensing and geographical information system methods are used frequently in field
use, planning and determination of land changes. The data types used in this study vary …

Agriculture plays a strategic role in the economic development of a country. Appropriate
classification of land cover images is vital for planning the right agricultural practices and …

Rapid urban development and increasing human activities in the city can affect the decline
in the Vegetation Index in Ambon City. The research aims to analyze the vegetation index …