Remote sensing image classification: A comprehensive review and applications

M Mehmood, A Shahzad, B Zafar… - Mathematical …, 2022 - Wiley Online Library
Remote sensing is mainly used to investigate sites of dams, bridges, and pipelines to locate
construction materials and provide detailed geographic information. In remote sensing …

Machine learning assisted remote forestry health assessment: a comprehensive state of the art review

JS Estrada, A Fuentes, P Reszka… - Frontiers in plant …, 2023 - frontiersin.org
Forests are suffering water stress due to climate change; in some parts of the globe, forests
are being exposed to the highest temperatures historically recorded. Machine learning …

Land use and land cover map** using Sentinel-2, Landsat-8 Satellite Images, and Google Earth Engine: A comparison of two composition methods

V Nasiri, A Deljouei, F Moradi, SMM Sadeghi, SA Borz - Remote sensing, 2022 - mdpi.com
Accurate and real-time land use/land cover (LULC) maps are important to provide precise
information for dynamic monitoring, planning, and management of the Earth. With the advent …

[HTML][HTML] Improved estimation of aboveground biomass in rubber plantations by fusing spectral and textural information from UAV-based RGB imagery

Y Liang, W Kou, H Lai, J Wang, Q Wang, W Xu… - Ecological …, 2022 - Elsevier
Aboveground biomass (AGB), as a crucial indicator of forest growth and quality, plays an
important role in monitoring the global carbon cycle and forest health. Rapid, accurate, and …

[HTML][HTML] UAV-based remote sensing using visible and multispectral indices for the estimation of vegetation cover in an oasis of a desert

N Wang, Y Guo, X Wei, M Zhou, H Wang, Y Bai - Ecological Indicators, 2022 - Elsevier
Natural vegetation is an important indicator for the maintenance of symbiosis in an oasis in
extremely arid zones. Unmanned aerial vehicles have advantages of high resolution and …

[HTML][HTML] From simple linear regression to machine learning methods: Canopy cover modelling of a young forest using planet data

A Gyawali, H Adhikari, M Aalto, T Ranta - Ecological Informatics, 2024 - Elsevier
Accurate canopy cover estimation is essential for mature and early-stage young forests, as it
guides forest management and silvicultural activities necessary for their growth and …

[HTML][HTML] Estimation of coastal wetland vegetation aboveground biomass by integrating UAV and satellite remote sensing data

X Niu, B Chen, W Sun, T Feng, X Yang, Y Liu, W Liu… - Remote Sensing, 2024 - mdpi.com
Aboveground biomass (AGB) serves as a crucial indicator of the carbon sequestration
capacity of coastal wetland ecosystems. Conducting extensive field surveys in coastal …

[HTML][HTML] Ensemble Learning for the Land Cover Classification of Loess Hills in the Eastern Qinghai–Tibet Plateau Using GF-7 Multitemporal Imagery

F Shi, X Gao, R Li, H Zhang - Remote Sensing, 2024 - mdpi.com
The unique geographic environment, diverse ecosystems, and complex landforms of the
Qinghai–Tibet Plateau make accurate land cover classification a significant challenge in …

[HTML][HTML] A novel approach for surveying flowers as a proxy for bee pollinators using drone images

M Torresani, D Kleijn, JPR de Vries, H Bartholomeus… - Ecological …, 2023 - Elsevier
The abundance and diversity of plants and insects are important indicators of biodiversity,
overall ecosystem health and agricultural production. Bees in particular are interesting …

Biomass estimation and saturation value determination based on multi-source remote sensing data

R Sa, Y Nie, S Chumachenko, W Fan - Remote Sensing, 2024 - mdpi.com
Forest biomass estimation is undoubtedly one of the most pressing research subjects at
present. Combining multi-source remote sensing information can give full play to the …