Little research has been conducted on how differing spatial resolutions or classification techniques affect image-driven identification and categorization of slum neighborhoods in developing nations. This study assesses the correlation between satellite-derived land cover and census-derived socioeconomic variables in Accra, Ghana to determine whether the relationship between these variables is ...

Spatial, Temporal, and Spectral Resolution (STSR) are three key characteristics of Earth observation satellite sensors; however, any single satellite sensor cannot provide Earth observations with high STSR simultaneously because of the hardware technology limitations of satellite sensors. On the other hand, a conflicting circumstance is that the demand for high STSR has been growing with the re...

Trees used in agroforestry practices, such as windbreaks, provide a variety of ecosystem benefits and are recognized globally as an important land use. However, efforts to inventory and monitor agroforestry land use have been sporadic, short-lived, or focused on small spatial extents. There are a variety of satellite-derived datasets that provide information about tree cover over broad spatial ...

in the present research land use changes modeling in the urmia city is considered in order to detect changes in agricultural lands. in this regard, landsat satellite images were used and then the object base processing satellite images was performed by applying the process segmentation and in the next stage, the optimization of scale segmentation and image analysis to its constituent elements, ...

Many researchers conducted the effort for improving the classification accuracy of satellite image. Most of the study has used optical spectrum information of each pixel for image classification. By applying this method for high resolution satellite image, number of class becomes increase. This situation is remarkable for urban area. Most of the case, we need the information about land use. In ...

The study of agricultural land uses in karma district relied on a range ideas using modern geographical techniques to build model simulation spatial distribution uses, which used sensor data after key sources detections cover through reliance satellite (Land Sat-8) and (OLI) For 2020, achieve the study's objective, normalized Difference Vegetation Index (NDVI), Normalized Built Up (NDBI), Water...

Automatic detection of landslides from very high resolution satellite images is a prerequisite for rapid damage assessment and supporting disaster management activities. In this study, a novel method using open source tools was developed for extracting landslides from bi-temporal satellite images based on Object Based Image Analysis (OBIA). The methodology employed involves image segmentation f...

The aim of this study is to cross-verify of multiple logistic model at Korea using a Geographic Information System (GIS). Landslide locations were identified in the 3 study areas from interpretation of aerial photographs and satellite image, field surveys, and maps of the topography, soil type, forest cover and land cover were constructed to spatial data-sets. The factors that influence landsli...

Detection of urban objects in very high resolution (VHR) satellite imagery is challenging due to the similarities in the spectral and textural characteristics of urban land cover classes. Therefore, additional information such as elevation data is required for a proper classification. In this study, instead of LiDAR data, elevation information generated from satellite stereo images is used to a...