Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Remote sensing image classification: A comprehensive review and applications
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 …
construction materials and provide detailed geographic information. In remote sensing …
Machine learning assisted remote forestry health assessment: a comprehensive state of the art review
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 …
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
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 …
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 …
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 …
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
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 …
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
Aboveground biomass (AGB) serves as a crucial indicator of the carbon sequestration
capacity of coastal wetland ecosystems. Conducting extensive field surveys in coastal …
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 …
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
The abundance and diversity of plants and insects are important indicators of biodiversity,
overall ecosystem health and agricultural production. Bees in particular are interesting …
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 …
present. Combining multi-source remote sensing information can give full play to the …