Updating maps is a process where the main goal is to bring the content of spatial databases in their electronic and hardcopy versions up to the most current state. The three main tasks undertaken in updating maps are change detection, image interpretation, and metadata and geographic correction (i.e., georeferencing). However, an analysis of map update technology shows that the most time consum...

The increase in the number of remote sensing platforms, ranging from satellites to close-range Remotely Piloted Aircraft System (RPAS), is leading to a growing demand for new image processing and classification tools. This article presents a comparison of the Random Forest (RF) and Support Vector Machine (SVM) machine-learning algorithms for extracting land-use classes in RPAS-derived orthomosa...

The manual delineation of vegetation patches or forest stands is a costly and critical stage in any landcover mapping project or forest inventory based upon photointerpretation. Recent computer techniques have eased the task of the interpreter; however a good deal of craftsmanship is still required in the delineation. In an effort to contribute to the automation of this process, we introduce Si...

The relationships between hillslope and fluvial processes were studied in a mountainous area of the Northern Apennines (Italy) where intermittent landslide activity has interacted for long time with river morphodynamics. aim study was to analyse such two sites Scoltenna catchment. analysed detail monitored through time. A long-term analysis carried out based on multitemporal photointerpretation...

Changes in land use are mainly a consequence of anthropogenic actions. The current agricultural and urban transformations in Costa Rica have raised questions about the effectiveness of conservation and restoration within protected areas. Herein we analyzed the patterns of land use change between three periods: 1997, 2005 and 2010 in terms of magnitude, direction, and pace through categorical ma...

The goal of this study was the evaluation of agriculture parcel area measurement accuracy on Cartosat-1 imagery, and the determination of the technical tolerance appropriate for measurement using photointerpretation techniques. A further objective was to find out the influence of image type, land cover or parcel size on the area measurement variability. In our experiment, five independent opera...

In this paper, grid cell based spatial statistics were used to quantify the drivers of land-cover and land-use change (LCLUC) and habitat degradation in a tropical rainforest in Madagascar. First, a spectral database of various land-cover and land-use information was compiled using multi-year field campaign data and photointerpretation of satellite images. Next, residential areas were extracted...

Information on vegetation cover and soil management is used in hydrological erosion modeling, but most cases, reference values are solely based land use classification without considering the actual spatial temporal variation adopted at field scale. This work focused adoption of satellite optical data from Copernicus Sentinel-2 (S2) mission to evaluate both variations vineyard ground cover. Fir...

Climate change and natural disasters caused by hydrological, meteorological, climatic phenomena have a significant impact on cities. Russia, continental country with vast territory of complex geographic–ecological environments highly variable conditions, is subject to substantial frequent disasters. On 29 June 2019, an extreme precipitation event occurred in the city Tulun Irkutsk oblast, Russi...