This paper intended to classify land cover of high-resolution satellite image using
supervised classification method. The object of this research was the land cover image of …

Regional land use planning and monitoring remain an issue in many developing countries.
Efficient solution for both tasks depended on remote sensing technology to capture and …

Remotely sensed images serve as a valuable source of present and archival information
since they provide the geographical distribution of natural and cultural features both spatially …

This article presents the comparative analysis of classification techniques to assign land use
and land cover classes from different strategies (pixel‐based, object‐based, rule‐based …

LAPAN-A3 is the 3 rd generation satellite for remote sensing developed by National Institute
of Aeronautics and Space (LAPAN). The camera provides imagery with 15 m spatial …

The current study used a combination of Sentinel-1A (SE-1A) radar and Sentinel-2A (SE-2A)
optical images in mapping land use/land cover (LULC) in Dak Nong province in 2018. The …

Remote sensing technology has experienced rapid development, especially in the field of
image classification method. Image classification is to detect and identify objects on the …

Accurate mapping of mangrove is necessary for effective planning and management of
ecosystem and resources, due to the function of mangrove as a provider of natural products …

Supervised classification of satellite images is performed based on utilization of reference
training data. Therefore, the availability and quality of reference data highly influences the …

Remote sensing data has been widely applied to classify the land cover more frequently and
on a near real-time basis for updating as it is more economic, less time consuming …