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 …

Examination of the potential of terrestrial laser scanning and structure-from-motion photogrammetry for rapid nondestructive field measurement of grass biomass

SD Cooper, DP Roy, CB Schaaf, I Paynter - Remote Sensing, 2017 - mdpi.com
Above ground biomass (AGB) is a parameter commonly used for assessment of grassland
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 …

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 …

Spatial controls of topsoil and subsoil organic carbon turnover under C3–C4 vegetation change

H Schiedung, N Tilly, C Hütt, G Welp, N Brüggemann… - Geoderma, 2017 - Elsevier
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 …

[HTML][HTML] Monitoring biomass in two heterogeneous mountain pasture communities by image based 3D point cloud derived predictors

NG Passalacqua, S Aiello, L Bernardo, D Gargano - Ecological Indicators, 2021 - Elsevier
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 …

Potential of multitemporal tandem-x derived crop surface models for maize growth monitoring

C Hütt, N Tilly, H Schiedung… - … Archives of the …, 2016 - isprs-archives.copernicus.org
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 …

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 …

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 …