Results 21 to 30 of about 212,434 (273)
Remote Sensing, 2022 Fundamental image processing methods, such as atmospheric corrections and pansharpening, influence the signal of the pixel. This morphs the spectral signature of target features causing a change in both the final spectra and the way different mapping ...
Shridhar D. Jawak +3 more
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GRAIN-SIZE MEASUREMENTS OF FLUVIAL GRAVEL BARS USING OBJECT-BASED IMAGE ANALYSIS
Revista Brasileira de Geomorfologia, 2018 Traditional techniques for classifying the average grain size in gravel bars require manual measurements of each grain diameter. Aiming productivity, more efficient methods have been developed by applying remote sensing techniques and digital image ...
Pedro Castro, Raúl Vicens
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Science of Remote Sensing, 2021 The classification of vegetation species is a fundamental technical task, necessary for the sustainable management of wetland ecosystems. GEographic-Object-Based Image Analysis (GEOBIA) and data mining have enabled classification and monitoring of ...
Luis Fernando Chimelo Ruiz +4 more
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Tropical Agrarian landscape classification using high-resolution GeoEYE data and segmentationbased approach [PDF]
, 2016 We examine the use of high spatial resolution ‘GeoEYE’ imagery for land use classification in a tropical landscape. Image objects (I-Os) derived from features identification provide a basis for segmentation process and the Geographic Object Based Image ...
Kühle, Peter, Nagabhatla, Nidhi
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Detection of Shelterbelt Density Change Using Historic APFO and NAIP Aerial Imagery
Remote Sensing, 2019 Grand Forks County, North Dakota, boasts the highest concentration of shelterbelts in the World. As trees age and reach their lifespan limits, renovations should have taken place with new trees being planted.
Morgen W.V. Burke +2 more
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GEOBIA Achievements and Spatial Opportunities in the Era of Big Earth Observation Data
ISPRS International Journal of Geo-Information, 2019 The primary goal of collecting Earth observation (EO) imagery is to map, analyze, and contribute to an understanding of the status and dynamics of geographic phenomena.
Stefan Lang +4 more
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Deep learning for land use and land cover classification from the Ecuadorian Paramo.
International Journal of Digital Earth, 2022 The paramo, plays an important role in our ecosystems as They balance the water resources and can retain substantial quantities of carbon. This research was carried out in the province of Tungurahua, specifically the Quero district. The aim is to develop
Marco Castelo-Cabay +2 more
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Trying to break new ground in aerial archaeology [PDF]
, 2016 Aerial reconnaissance continues to be a vital tool for landscape-oriented archaeological research. Although a variety of remote sensing platforms operate within the earth’s atmosphere, the majority of aerial archaeological information is still derived ...
Sevara, Christopher, Verhoeven, Geert
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Fine-scale mapping of vector habitats using very high resolution satellite imagery : a liver fluke case-study [PDF]
, 2014 The visualization of vector occurrence in space and time is an important aspect of studying vector-borne diseases. Detailed maps of possible vector habitats provide valuable information for the prediction of infection risk zones but are currently lacking
Charlier, Johannes +8 more
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ISPRS International Journal of Geo-Information, 2017 Image interpretation is a major topic in the remote sensing community. With the increasing acquisition of high spatial resolution (HSR) remotely sensed images, incorporating geographic object-based image analysis (GEOBIA) is becoming an important sub ...
Helingjie Huang +4 more
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