Results 41 to 50 of about 401 (164)

Pixel and Object-Based Machine Learning Classification Schemes for Lithological Mapping Enhancement of Semi-Arid Regions Using Sentinel-2A Imagery: A Case Study of the Southern Moroccan Meseta

open access: yesIEEE Access, 2021
Mapping lithological units of an area using remote sensing data can be broadly grouped into pixel-based (PBIA), sub-pixel based (SPBIA) and object-based (GEOBIA) image analysis approaches.
Imane Serbouti   +5 more
doaj   +1 more source

Mangrove changes over the past decade in South and Southeast Brazil using spaceborne optical and SAR imagery

open access: yesAnais da Academia Brasileira de Ciências, 2023
Mangroves occur in the tropics and subtropics. This region is constantly covered by clouds and therefore highly challenging to map and monitor. Technological advances in remote sensing have increased the flexibility of performing such analyses.
JOÃO PAULO N. LOPES   +3 more
doaj   +1 more source

Land Cover Changes in Open-Cast Mining Complexes Based on High-Resolution Remote Sensing Data

open access: yesRemote Sensing, 2020
Remote sensing technologies can play a fundamental role in the environmental assessment of open-cast mining and the accurate quantification of mine land rehabilitation efforts.
Filipe Silveira Nascimento   +5 more
doaj   +1 more source

GEOBIA, TREE DECISION AND HIERARCHICAL CLASSIFICATION FOR MAPPING GULLY EROSION

open access: yesRaega - O Espaço Geográfico em Análise, 2020
The gullies provoke environmental, social and financial damages. The application of corrective and preventive measures needs gullies mapping and monitoring. In this scope, this study proposes a methodology for gullies delimitation using object-oriented image analysis.
Andrea Tedesco   +1 more
openaire   +1 more source

Modelling Industrial Growth in The Coastal Area of Semarang Metropolitan Region Using GeOBIA

open access: yesIOP Conference Series: Earth and Environmental Science, 2021
AbstractCentral Java Province has the manufacturing industry sector as the largest economic contributor. This manufacturing industry sector growth is mainly supported by the strategic location and infrastructures on the northern coast of Central Java Province (Kendal-Semarang-Demak). However, the high increase of industrial built-up area in the coastal
T. I. Fariha, I. Buchori, A. W. Sejati
openaire   +1 more source

Spectral Patterns of Pixels and Objects of the Forest Phytophysiognomies in the Anauá National Forest, Roraima State, Brazil

open access: yesEcologies, 2023
Forest phytophysiognomies have specific spatial patterns that can be mapped or translated into spectral patterns of vegetation. Regions of spectral similarity can be classified by reference to color, tonality or intensity of brightness, reflectance ...
Tiago Monteiro Condé   +6 more
doaj   +1 more source

Multispectral Characteristics of Glacier Surface Facies (Chandra-Bhaga Basin, Himalaya, and Ny-Ålesund, Svalbard) through Investigations of Pixel and Object-Based Mapping Using Variable Processing Routines

open access: yesRemote 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
doaj   +1 more source

Building Detection using EO, Lidar, and GEOBIA

open access: yes, 2015
This presentation offers a framework for classifying and identifying buildings using EO, Lidar, and GEOBIA.
Paul Pope, Lakshman Prasad
openaire   +2 more sources

UAV-based classification of maritime Antarctic vegetation types using GEOBIA and random forest

open access: yesEcological Informatics, 2022
Development of vegetation communities in areas of Antarctica without permanent ice cover emphasizes the need for effective remote sensing techniques for proper monitoring of local environmental changes. Detection and mapping of vegetation by image classification remains limited in the Antarctic environment due to the complexity of its surface cover ...
Maria E. Sotille   +6 more
openaire   +2 more sources

Object-based image analysis supported by data mining to discriminate large areas of soybean

open access: yesInternational Journal of Digital Earth, 2019
This research aimed to analyze the possibility to estimate and automatically map large areas of soybean cultivation through the use of MODIS (Moderate-Resolution Imaging Spectroradiometer) images.
Carlos Antonio da Silva Junior   +8 more
doaj   +1 more source

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