A review of spectral indices for mangrove remote sensing

TV Tran, R Reef, X Zhu - Remote Sensing, 2022 - mdpi.com
Mangrove ecosystems provide critical goods and ecosystem services to coastal
communities and contribute to climate change mitigation. Over four decades, remote …

[HTML][HTML] Panchromatic and multispectral image fusion for remote sensing and earth observation: Concepts, taxonomy, literature review, evaluation methodologies and …

K Zhang, F Zhang, W Wan, H Yu, J Sun, J Del Ser… - Information …, 2023 - Elsevier
Panchromatic and multispectral image fusion, termed pan-sharpening, is to merge the
spatial and spectral information of the source images into a fused one, which has a higher …

Sand and dust storm sources identification: A remote sensing approach

B Rayegani, S Barati, H Goshtasb, S Gachpaz… - Ecological …, 2020 - Elsevier
In recent years, the sand and dust storm (SDS) events have become one of the most critical
environmental challenges around the world. Identification of the sources not only helps to …

Impact of image-processing routines on mapping glacier surface facies from svalbard and the himalayas using pixel-based methods

SD Jawak, SF Wankhede, AJ Luis, K Balakrishna - Remote Sensing, 2022 - mdpi.com
Glacier surface facies are valuable indicators of changes experienced by a glacial system.
The interplay of accumulation and ablation facies, followed by intermixing with dust and …

Pan-sharpening framework based on multiscale entropy level matching and its application

J Tao, C Song, D Song, X Wang - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Current remote sensing hardware technology is not yet able to acquire multiband remote
sensing images with both high spatial and spectral resolution. As an important tool to …

Comparative analysis of deep learning-based pansharpening methods for improved image classification accuracy

V Yilmaz, D Asikoglu - Journal of Applied Remote Sensing, 2023 - spiedigitallibrary.org
Pansharpened images are frequently utilized as base data in image classification
applications. Nonetheless, the accuracy of image classification heavily relies on the …

[HTML][HTML] Участки с повышенным фиторазнообразием на пройденной пожарами части Керженского заповедника: значение, происхождение …

НГ Кадетов, АЕ Гнеденко - Географический вестник, 2021 - cyberleninka.ru
Положение территории Нижегородского Заволжья в схемах районирования
растительности долгое время является предметом дискуссий, что связано как с …

A simple model for PIFs extraction at digital change detection approach

B Rayegani, S Barati, H Sarkheil - Modeling Earth Systems and …, 2021 - Springer
The radiometric normalization using pseudo-invariant features (PIFs) is one of the best
methods of image-based atmospheric correction. However, one of the main challenges of …

The feasible study of spatial and temporal distribution patterns of Yellowfin tuna (Thunnus albacares) in the Oman Sea using Remote Sensing Data

N Ensafi, B Rayegani, B Saeedpour… - Journal of …, 2023 - jfisheries.ut.ac.ir
Most fishermen use traditional methods to identify areas with fishing potential. Increasing
demand for fish and the need to exploit marine resources in a cost-effective manner and …

Investigating the trend of vegetation change in the Central Plateau of Iran with the help of remotely sensed time series between 2002-2018

M Zolfaghary, B Rayegani, B Nezami Balouchi… - Journal of Natural …, 2022 - jne.ut.ac.ir
Vegetation consist of collections with spontaneous growing. MODIS vegetation index plays
an essential role in several studies about EOS (Earth Observation System). The aim of this …