© Springer Nature Singapore Pte Ltd. 2019. Land use and land cover are important and useful geographic information system (GIS) layers that have been used for a wide range of geospatial applications. These layers are usually generated by applying digital image processing steps for a satellite image or images captured from an aircraft. Several methods are available in literature to produce such GIS layers. Image classification is the main method that has been used by many researchers to produce thematic maps. In the current study, a decision tree was used to develop rulesets at object level. These rules were applied and a thematic map of Karbala city was produced from SPOT image. The overall accuracy of the classification image was 96% and t...
The ground of Remote Sensing and Geographical Information System (GIS) has become interesting and at...
Land use land cover (LULC) classification is a valuable asset for resource managers; in many fields ...
The aim of the study was to examine the potential maximum likelihood classification in the mapping o...
Land use and land cover are important and useful geographic information system (GIS) layers that hav...
Land Use / Land Cover (LULC) classification is considered one of the basic tasks that decision maker...
Land use & land cover change detection in rapid growth urbanized area have been studied by many ...
This research aims to propose new rule sets to be used for object based classification of SPOT-5 ima...
Rapid growth in urbanized areas is a worldwide phenomenon. The rate of urban growth is very fast in ...
Abstract—The importance of mapping of land use and land cover is highlighted in this paper. The pape...
The availability of very high spatial and temporal resolution remote sensing data facilitates mappin...
This study discusses the applicability of remote sensing and GIS techniques to classify urban land u...
The majority of the study area lies within the Mesopotamia For deep of Outer (Unstable) Platform of ...
In order to investigate the terrain changed in areas of urban, vegetation, bare land, and water type...
As we know that when we use the colour bands that are pure in nature it will help some of the public...
As we know that when we use the colour bands that are pure in nature it will help some of the public...
The ground of Remote Sensing and Geographical Information System (GIS) has become interesting and at...
Land use land cover (LULC) classification is a valuable asset for resource managers; in many fields ...
The aim of the study was to examine the potential maximum likelihood classification in the mapping o...
Land use and land cover are important and useful geographic information system (GIS) layers that hav...
Land Use / Land Cover (LULC) classification is considered one of the basic tasks that decision maker...
Land use & land cover change detection in rapid growth urbanized area have been studied by many ...
This research aims to propose new rule sets to be used for object based classification of SPOT-5 ima...
Rapid growth in urbanized areas is a worldwide phenomenon. The rate of urban growth is very fast in ...
Abstract—The importance of mapping of land use and land cover is highlighted in this paper. The pape...
The availability of very high spatial and temporal resolution remote sensing data facilitates mappin...
This study discusses the applicability of remote sensing and GIS techniques to classify urban land u...
The majority of the study area lies within the Mesopotamia For deep of Outer (Unstable) Platform of ...
In order to investigate the terrain changed in areas of urban, vegetation, bare land, and water type...
As we know that when we use the colour bands that are pure in nature it will help some of the public...
As we know that when we use the colour bands that are pure in nature it will help some of the public...
The ground of Remote Sensing and Geographical Information System (GIS) has become interesting and at...
Land use land cover (LULC) classification is a valuable asset for resource managers; in many fields ...
The aim of the study was to examine the potential maximum likelihood classification in the mapping o...