Improved land cover map of Iran using Sentinel imagery within Google Earth Engine and a novel automatic workflow for land cover classification using migrated …

A Ghorbanian, M Kakooei, M Amani, S Mahdavi… - ISPRS Journal of …, 2020 - Elsevier
Accurate information about the location, extent, and type of Land Cover (LC) is essential for
various applications. The only recent available country-wide LC map of Iran was generated …

Sentinel-1 and 2 time-series for vegetation mapping using random forest classification: A case study of Northern Croatia

D Dobrinić, M Gašparović, D Medak - Remote Sensing, 2021 - mdpi.com
Land-cover (LC) mapping in a morphologically heterogeneous landscape area is a
challenging task since various LC classes (eg, crop types in agricultural areas) are …

[HTML][HTML] Assessing SAR C-band data to effectively distinguish modified land uses in a heavily disturbed Amazon forest

AP Nicolau, A Flores-Anderson, R Griffin… - International Journal of …, 2021 - Elsevier
The Amazon is the largest expanse of tropical rainforest globally and deforestation resulting
from land use changes poses a major concern for sustainable resource management …

Comparative assessment of machine learning methods for urban vegetation mapping using multitemporal sentinel-1 imagery

M Gašparović, D Dobrinić - Remote Sensing, 2020 - mdpi.com
Mapping of green vegetation in urban areas using remote sensing techniques can be used
as a tool for integrated spatial planning to deal with urban challenges. In this context …

3D gray level co-occurrence matrix and its application to identifying collapsed buildings

L Moya, H Zakeri, F Yamazaki, W Liu, E Mas… - ISPRS journal of …, 2019 - Elsevier
With the remarkable progress in access to remote sensing imagery data, nowadays
research very often utilizes more than one image. We are often able to use multitemporal …

Land cover mapping of the Mekong Delta to support natural resource management with multi-temporal Sentinel-1A synthetic aperture radar imagery

KD Ngo, AM Lechner, TT Vu - Remote Sensing Applications: Society and …, 2020 - Elsevier
Synthetic aperture radar (SAR) has great potential for land cover mapping, especially in
tropical regions, where frequent cloud cover obstructs optical remote sensing. The aim of …

Decision-level fusion of Sentinel-1 SAR and Landsat 8 OLI texture features for crop discrimination and classification: case of Masvingo, Zimbabwe

S Chen, J Useya, H Mugiyo - Heliyon, 2020 - cell.com
Radar imagery have few polarization bands which can limit the ability to do traditional digital
classification. Harmonization of Sentinel-1 and Landsat 8 data despite having …

Irrigated rice crop identification in Southern Brazil using convolutional neural networks and Sentinel-1 time series

PP de Bem, OA de Carvalho Júnior… - Remote Sensing …, 2021 - Elsevier
Rice is one of the world's staple food sources, with millions of tonnes produced and
consumed every year. Therefore, mapping rice paddies is essential for agricultural …

Multi-sensor heterogeneous data-based online tool health monitoring in milling of IN718 superalloy using OGM (1, N) model and SVM

MS Babu, TB Rao - Measurement, 2022 - Elsevier
Cutting tool health monitoring (THM) is of great practical significance to estimate the tool life
to enhance productivity, machining efficiency and reduce machine tool downtime. Therefore …

A Spatial Distribution Extraction Method for Winter Wheat Based on Improved U-Net

J Liu, H Wang, Y Zhang, X Zhao, T Qu, H Tian, Y Lu… - Remote Sensing, 2023 - mdpi.com
This paper focuses on the problems of omission, misclassification, and inter-adhesion due to
overly dense distribution, intraclass diversity, and interclass variability when extracting …