Results 31 to 40 of about 401 (164)

Desempenho do Descritor Máxima Diferença na Classificação de Plantações de Eucalipto no Estado do Rio de Janeiro

open access: yesRevista Brasileira de Cartografia, 2019
O crescimento da área plantada de eucaliptos no Brasil vem sendo constatado por dados censitários, e a utilização de dados de sensoriamento remoto contribui para entender onde, quando e como este processo de crescimento acontece.
Debora da Paz Gomes Brandão Ferraz   +1 more
doaj   +1 more source

Spatiotemporal Changes in 3D Building Density with LiDAR and GEOBIA: A City-Level Analysis [PDF]

open access: yesRemote Sensing, 2020
Understanding how, where, and when a city is expanding can inform better ways to make our cities more resilient, sustainable, and equitable. This paper explores urban volumetry using the Building 3D Density Index (B3DI) in 2001, 2010, 2019, and quantifies changes in the volume of buildings and urban expansion in Luxembourg City over the last two ...
Karolina Zieba-Kulawik   +6 more
openaire   +4 more sources

Geographic object‐based image analysis (GEOBIA) of the distribution and characteristics of aeolian sand dunes in Arctic Sweden

open access: yesPermafrost and Periglacial Processes, Volume 34, Issue 1, Page 22-36, January/March 2023., 2023
Abstract Current climate change in the Arctic is unprecedented in the instrumental record, with profound consequences for the environment and landscape. In Arctic Sweden, aeolian sand dunes have been impacted by climatic changes since their initial formation after the retreat of the last glacial ice sheet.
Melanie Stammler   +2 more
wiley   +1 more source

COMPARATIVE ASSESSMENT BETWEEN PER-PIXEL AND OBJECT-ORIENTED FOR MAPPING LAND COVER AND USE [PDF]

open access: yesEngenharia Agrícola, 2017
: The traditional per-pixel classification methods consider only spectral information, and may be limited. Object-based classifiers, however, also consider shape and texture, firstly segmenting the image, and then classifying individual objects.
Victor H. R. Prudente   +4 more
doaj   +1 more source

Application of Geobia to map the seafloor [PDF]

open access: yesGEOBIA 2016: Solutions and synergies, 2016
Geographic Object-Based Image Analysis (GEOBIA) has been successfully employed to map terrestrial environments. However, 71% of Earth's surface is covered by seawater and standard optical methods suitable for mapping the land surface have limited application in such environments.
openaire   +1 more source

A Meta-Methodology for Improving Land Cover and Land Use Classification with SAR Imagery

open access: yesRemote Sensing, 2020
Per-point classification is a traditional method for remote sensing data classification, and for radar data in particular. Compared with optical data, the discriminative power of radar data is quite limited, for most applications.
Marinalva Dias Soares   +5 more
doaj   +1 more source

Object-Based Mangrove Mapping Comparison on Visible and NIR UAV Sensor

open access: yesIndonesian Journal of Geography, 2021
Mangrove ecosystems are natural resources that have potential value for development due to their high productivity. Mapping and identification of mangroves have always played a crucial role in mangrove ecosystem conservation efforts, especially to ...
Nurul Khakhim   +11 more
doaj   +1 more source

Optimization of urban land-cover classification workflow based on geographic-object analysis using very-high-resolution imagery

open access: yesDyna, 2022
A recurring problem in Geographic-Object Based Image Analysis (GEOBIA) is the need to tune each one of the three phases involved in the process, segmentation, feature selection, and classification.
Deybi Libardo Mora Castañeda   +2 more
doaj   +1 more source

Effect of Image-Processing Routines on Geographic Object-Based Image Analysis for Mapping Glacier Surface Facies from Svalbard and the Himalayas

open access: yesRemote Sensing, 2022
Advancements in remote sensing have led to the development of Geographic Object-Based Image Analysis (GEOBIA). This method of information extraction focuses on segregating correlated pixels into groups for easier classification.
Shridhar D. Jawak   +3 more
doaj   +1 more source

Detecting Atlantic forest patches applying GEOBIA and data mining techniques [PDF]

open access: yesGEOBIA 2016: Solutions and synergies, 2016
Brazilian Atlantic Forest is one of the most devastated tropical forests in the world. Considering that approximately only 12% of its original extent still exists, studies in this area are highly relevant. In this context, this study maps the land cover of Atlantic Forest within the Protected Area of ‘Macae de Cima’, in Rio de Janeiro State, Brazil ...
C D Girolamo Neto   +3 more
openaire   +1 more source

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