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Wiske Rotinsulu,Hengky Walangitan,Afandi Ahmad
Pág. 161 - 169
Monitoring land cover change is important to be done in order to understand changing mechanism and to model impacts of the change to environment and ecosystem in different scale. Research on change detection of the Tondano watershed for the period ...
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Alireza Hajiheidari, Mahmoud Reza Delavar and Abbas Rajabifard
Enriching and updating maps are among the most important tasks of any urban management organization for informed decision making. Urban cadastral map enrichment is a time-consuming and costly process, which needs an expert?s opinion for quality control. ...
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Long-Xiao Luo, Zhong-Yi Sun and Zheng-Hong Tan
Climatic seasonality has lacked research attention in terms of global tropical forests, where it impacts vegetation productivity, biodiversity, and hydrological cycles. This study employs two methods?climatological anomalous accumulation (CAA) and potent...
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Zhu Zhu, Tinggang Zhou, Jinsong Chen, Xiaoli Li, Shanxin Guo, Longlong Zhao and Luyi Sun
Change detection for remote sensing images.
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Lucrêncio Silvestre Macarringue, Édson Luis Bolfe, Soltan Galano Duverger, Edson Eyji Sano, Marcellus Marques Caldas, Marcos César Ferreira, Jurandir Zullo Junior and Lindon Fonseca Matias
Accurate land use and land cover (LULC) mapping is essential for scientific and decision-making purposes. The objective of this paper was to map LULC classes in the northern region of Mozambique between 2011 and 2020 based on Landsat time series processe...
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K. Lavanya, Anand Mahendran, Ramani Selvanambi, Manuel Mazzara and Jude D Hemanth
Every biological system on the planet is severely impacted by environmental change, and its primary driver is deforestation. Meanwhile, quantitative analysis of changes in Land Use and Land Cover (LULC) is one of the prominent ways to manage and understa...
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Flavo Elano Soares de Souza and José Inácio de Jesus Rodrigues
With the growing availability of remote sensing orbital spatial data, the applications of machine learning (ML) algorithms have been leveraging the field of process automation in image classification. The present work aimed to evaluate the precision and ...
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Sharanya Senthamil Selvan, Sridhar P. Arjunan, Ramakrishnan Swaminathan and Dinesh Kant Kumar
Early-stage detection of cardiac autonomic neuropathy (CAN) is important for better management of the disease and prevents hospitalization. This study has investigated the complex nature of PR, QT, RR, and ST time segments of ECG signals by computing the...
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Tautvydas Fyleris, Andrius Kri?ciunas, Valentas Gru?auskas, Dalia Calneryte and Rimantas Barauskas
Urban change detection is an important part of sustainable urban planning, regional development, and socio-economic analysis, especially in regions with limited access to economic and demographic statistical data. The goal of this research is to create a...
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Nooshin Mashhadi and Ugur Alganci
Time series analysis combined with remote sensing data allows for the study of abrupt changes in the environment due to significant and severe disturbances such as deforestation, agricultural activities, fires, and urban expansion, as well as gradual cha...
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