Crop monitoring using satellite/UAV data fusion and machine learning
M Maimaitijiang, V Sagan, P Sidike, AM Daloye… - Remote Sensing, 2020 - mdpi.com
Non-destructive crop monitoring over large areas with high efficiency is of great significance
in precision agriculture and plant phenotyping, as well as decision making with regards to …
in precision agriculture and plant phenotyping, as well as decision making with regards to …
Examination of the potential of terrestrial laser scanning and structure-from-motion photogrammetry for rapid nondestructive field measurement of grass biomass
Above ground biomass (AGB) is a parameter commonly used for assessment of grassland
systems. Destructive AGB measurements, although accurate, are time consuming and are …
systems. Destructive AGB measurements, although accurate, are time consuming and are …
Portable LiDAR-based method for improvement of grass height measurement accuracy: comparison with SfM methods
H Obanawa, R Yoshitoshi, N Watanabe, S Sakanoue - Sensors, 2020 - mdpi.com
Plant height is a key indicator of grass growth. However, its accurate measurement at high
spatial density with a conventional ruler is time-consuming and costly. We estimated grass …
spatial density with a conventional ruler is time-consuming and costly. We estimated grass …
Crop height variability detection in a single field by multi-temporal terrestrial laser scanning
D Hoffmeister, G Waldhoff, W Korres, C Curdt… - Precision …, 2016 - Springer
Abstract Information on crop height, crop growth and biomass distribution is important for
crop management and environmental modelling. For the determination of these parameters …
crop management and environmental modelling. For the determination of these parameters …
Spatial controls of topsoil and subsoil organic carbon turnover under C3–C4 vegetation change
Soil organic carbon (SOC) is often heterogeneously distributed in arable fields and so is
probably its turnover. We hypothesized that the spatial patterns of SOC turnover are …
probably its turnover. We hypothesized that the spatial patterns of SOC turnover are …
[HTML][HTML] Monitoring biomass in two heterogeneous mountain pasture communities by image based 3D point cloud derived predictors
Primary productivity is a robust indicator of ecosystem functioning because of its close
relationships with the stability of the ecological systems. In ecological research, the above …
relationships with the stability of the ecological systems. In ecological research, the above …
Potential of multitemporal tandem-x derived crop surface models for maize growth monitoring
In this study, first results of retrieving plant heights of maize fields from multitemporal
TanDEM-X images are shown. Three TanDEM-X dual polarization spotlight acquisitions …
TanDEM-X images are shown. Three TanDEM-X dual polarization spotlight acquisitions …
Surveying pasture communities in diachronic analyses by 3D models: the diachronic canopy variation model
NG Passalacqua, M Muzzupappa, A Lagudi… - …, 2019 - Wiley Online Library
Aboveground biomass (AGB) is a parameter commonly used for assessing and monitoring
primary productivity of grassland communities. Destructive AGB measurements, although …
primary productivity of grassland communities. Destructive AGB measurements, although …
Multimodal Remote Sensing Data Fusion and Machine Learning for Crop Monitoring and Food Security
M Maimaitijiang - 2020 - search.proquest.com
Crop monitoring and yield prediction over agricultural fields are critical to grain policy
making and food security in the context of climate change and population growth. Monitoring …
making and food security in the context of climate change and population growth. Monitoring …