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Voxel-Based Automatic Tree Detection and Parameter Retrieval from Terrestrial Laser Scans for Plot-Wise Forest Inventory
remote sensing forest inventory terrestrial laser scanning point cloud processing automatic tree extraction stem curve tree height TLS benchmarking
2023/12/6
This paper presents a fully automatic method addressing tree mapping and parameter extraction (tree position, stem diameter at breast height, stem curve, and tree height) from terrestrial laser scans ...
Spectral Retrieval of Eucalypt Leaf Biochemical Traits by Inversion of the Fluspect-Cx Model
eucalypt Fluspect leaf optical properties biochemical traits radiative transfer constrained inversion optical indices
2023/12/1
Leaf biochemical traits indicating early symptoms of plant stress can be assessed using imaging spectroscopy combined with radiative transfer modelling (RTM). In this study, we assessed the potential ...
SMSYNTH: AN IMAGERY SYNTHESIS SYSTEM FOR SOIL MOISTURE RETRIEVAL
Image Synthesis Soil Moisture Bayesian Framework Markov Random Field Model Oh Model
2018/5/11
Soil moisture (SM) is a important variable in various research areas, such as weather and climate forecasting, agriculture, drought and flood monitoring and prediction, and human health. An ongoing ch...
RETRIEVAL AND MAPPING OF HEAVY METAL CONCENTRATION IN SOIL USING TIME SERIES LANDSAT 8 IMAGERY
Soil heavy metal Time series Remote sensing imagery Landsat Retrieval Model selection
2018/5/14
Heavy metal pollution is a critical global environmental problem which has always been a concern. Traditional approach to obtain heavy metal concentration relying on field sampling and lab testing is ...
THE APPLICATION OF MODIFIED NORMALIZED DIFFERENCE WATER INDEX BY LEAF AREA INDEX IN THE RETRIEVAL OF REGIONAL DROUGHT MONITORING
Vegetation Coverage Relative Leaf Area Index (RLAI),
2015/5/6
The vegetation coverage is one of the important factors that restrict the accuracy of remote sensing retrieval of soil moisture. In order to effectively improve the accuracy of the remote sensing re...