Multispectral data mining: A focus on remote sensing satellite images

SL Lim, J Sreevalsan‐Nair… - … Reviews: Data Mining …, 2024 - Wiley Online Library
This article gives a brief overview of various aspects of data mining of multispectral image
data. We focus on specifically the remote sensing satellite images acquired using …

[HTML][HTML] A bibliometric analysis of tropical mangrove forest land use change from 2010 to 2020

S Mohd Razali, MA Radzi, A Marin… - Environment, Development …, 2021 - Springer
Mangrove land use changes of varied intensities have long been a problem in tropical
mangrove forests. This has resulted in various degrees of mangrove land use modification …

Monitoring land use land cover changes and its impacts on land surface temperature over Mardan and Charsadda Districts, Khyber Pakhtunkhwa (KP), Pakistan

R Khan, H Li, M Basir, YL Chen, MM Sajjad… - Environmental …, 2022 - Springer
Land use/land cover (LULC) changes due to urban growth on the regional scale affect land
surface temperature (LST). The present study aims to assess the LULC changes and their …

[HTML][HTML] Automatic mapping of burned areas using Landsat 8 time-series images in Google Earth engine: A case study from Iran

H Gholamrezaie, M Hasanlou, M Amani… - Remote Sensing, 2022 - mdpi.com
Due to the natural conditions and inappropriate management responses, large part of plains
and forests in Iran have been burned in recent years. Given the increasing availability of …

[HTML][HTML] A change detection method based on multi-scale adaptive convolution kernel network and multimodal conditional random field for multi-temporal multispectral …

S Feng, Y Fan, Y Tang, H Cheng, C Zhao, Y Zhu… - Remote Sensing, 2022 - mdpi.com
Multispectral image change detection is an important application in the field of remote
sensing. Multispectral images usually contain many complex scenes, such as ground …

[HTML][HTML] Detection of historical landscape changes in Lake Victoria Basin, Kenya, using remote sensing multi-spectral indices

DO Onyango, SB Opiyo - Watershed Ecology and the Environment, 2022 - Elsevier
Abstract The Kenyan Lake Victoria basin has been experiencing land degradation and
overexploitation as seen in various landscape changes. Quantifying and understanding the …

[HTML][HTML] Consensus techniques for unsupervised binary change detection using multi-scale segmentation detectors for land cover vegetation images

FJ Cardama, DB Heras, F Argüello - Remote Sensing, 2023 - mdpi.com
Change detection in very-high-spatial-resolution (VHR) remote sensing images is a very
challenging area with applicability in many problems ranging from damage assessment to …

[HTML][HTML] RSEI or MRSEI? Comment on Jia et al. Evaluation of Eco-Environmental Quality in Qaidam Basin Based on the Ecological Index (MRSEI) and GEE. Remote Sens. 2021 …

H Xu, W Duan, W Deng, M Lin - Remote Sensing, 2022 - mdpi.com
Recently, Jia et al. employed the index, modified remote sensing ecological index (MRSEI),
to evaluate the ecological quality of the Qaidam Basin, China. The MRSEI made a …

Assessment of Heavy Metal Contamination in Wetlands Soils Around an Industrial Area Using Combined GIS-Based Pollution Indices and Remote Sensing …

T Anthony - Air, Soil and Water Research, 2023 - journals.sagepub.com
Understanding variations of heavy metals and their anthropogenic influence on wetland
soils are very imperative and crucial for environmental planning and sustainability. To …

Spatial-temporal evolution guided change detection network for remote sensing images

Q Wang, Z Hong, J Huang, X Zhao… - IEEE Journal of …, 2024 - ieeexplore.ieee.org
With the rapid advancement of remote sensing technology, bitemporal remote sensing
change detection (CD) techniques have also seen significant progress. However, existing …