Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Light Acquisition02:16

Light Acquisition

8.6K
In order to produce glucose, plants need to capture sufficient light energy. Many modern plants have evolved leaves specialized for light acquisition. Leaves can be only millimeters in width or tens of meters wide, depending on the environment. Due to competition for sunlight, evolution has driven the evolution of increasingly larger leaves and taller plants, to avoid shading by their neighbors with contaminant elaboration of root architecture and mechanisms to transport water and nutrients.
8.6K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Riding toward Selectivity: Optimization of Covalent 7-Azaindole-Based BMX Kinase Inhibitors.

Journal of medicinal chemistry·2026
Same author

Computational Discovery and Optimization of a Potent, Selective, and Drug-Like Scaffold for p38α Inhibition.

Drug design, development and therapy·2026
Same authorSame journal

A cloud-computing framework for downscaled global 300 m SIF retrieval from Sentinel-3 and TROPOSIF.

International journal of applied earth observation and geoinformation : ITC journal·2026
Same author

Discriminative stimulus and locomotor activity profiles of nicotine and varenicline.

Pharmacology, biochemistry, and behavior·2026
Same author

Assessment of PlanetScope Spectral Data for Estimation of Peanut Leaf Area Index Using Machine Learning and Statistical Methods.

Sensors (Basel, Switzerland)·2026
Same author

Integrated, ultrafast all-optical polariton transistors with sub-wavelength grating microcavities.

Light, science & applications·2026

Related Experiment Video

Updated: Aug 29, 2025

RGB and Spectral Root Imaging for Plant Phenotyping and Physiological Research: Experimental Setup and Imaging Protocols
11:37

RGB and Spectral Root Imaging for Plant Phenotyping and Physiological Research: Experimental Setup and Imaging Protocols

Published on: August 8, 2017

16.3K

Estimating soil moisture content under grassland with hyperspectral data using radiative transfer modelling and

Veronika Döpper1, Alby Duarte Rocha1, Katja Berger2,3

  • 1Geoinformation in Environmental Planning Lab, Technische Universität Berlin (TUB), Berlin, Germany.

International Journal of Applied Earth Observation and Geoinformation : ITC Journal
|September 12, 2022
PubMed
Summary

This study tested hybrid and data-driven methods for soil moisture content (SMC) retrieval using drone-based hyperspectral data. Hybrid models struggled with grassland canopy complexity, while data-driven models showed promise but faced challenges with temporal transferability and plant trait variations.

Keywords:
Anthropogenic InfluenceGaussian ProcessesGrazingIrrigationLAILeaf Area IndexMowingPROSAILTime LagUnmanned Aerial Systems

More Related Videos

Author Spotlight: UAV Remote Sensing for Efficient Invasive Plant Biomass Estimation
08:47

Author Spotlight: UAV Remote Sensing for Efficient Invasive Plant Biomass Estimation

Published on: February 9, 2024

1.6K
In Situ Soil Moisture Sensors in Undisturbed Soils
08:20

In Situ Soil Moisture Sensors in Undisturbed Soils

Published on: November 18, 2022

6.5K

Related Experiment Videos

Last Updated: Aug 29, 2025

RGB and Spectral Root Imaging for Plant Phenotyping and Physiological Research: Experimental Setup and Imaging Protocols
11:37

RGB and Spectral Root Imaging for Plant Phenotyping and Physiological Research: Experimental Setup and Imaging Protocols

Published on: August 8, 2017

16.3K
Author Spotlight: UAV Remote Sensing for Efficient Invasive Plant Biomass Estimation
08:47

Author Spotlight: UAV Remote Sensing for Efficient Invasive Plant Biomass Estimation

Published on: February 9, 2024

1.6K
In Situ Soil Moisture Sensors in Undisturbed Soils
08:20

In Situ Soil Moisture Sensors in Undisturbed Soils

Published on: November 18, 2022

6.5K

Area of Science:

  • Remote Sensing
  • Precision Agriculture
  • Soil Science

Background:

  • High-resolution soil moisture content (SMC) monitoring using unmanned aerial systems (UAS) is crucial for precision agriculture and validating large-scale products.
  • Data-driven approaches for SMC retrieval from UAS data are common but suffer from limited spatial-temporal transferability and require extensive ground samples.
  • Physically-based approaches offer better transferability but are less common for UAS-borne data.

Purpose of the Study:

  • To explore the potential of a hybrid method (PROSAIL model with variational heteroscedastic Gaussian Processes regression - VHGPR) for SMC retrieval.
  • To evaluate a data-driven VHGPR method for SMC retrieval using UAS-borne VIS-NIR hyperspectral data.
  • To identify factors influencing SMC retrieval accuracy across three distinct grassland management types (mowing, grazing, irrigation).

Main Methods:

  • Applied a hybrid approach modifying the soil brightness factor of the PROSAIL model using VHGPR.
  • Employed a data-driven VHGPR approach for SMC retrieval using UAS-borne VIS-NIR hyperspectral data (399-1001 nm).
  • Collected data over three grassland sites with different management: mowing (Fendt), grazing (Grosses Bruch), and irrigation (Marquardt).

Main Results:

  • The hybrid approach showed encouraging results in Marquardt (RMSE = 1.5 Vol_%, R² = 0.2) but was hindered by grassland thatch and canopy structure in Fendt and Grosses Bruch.
  • The data-driven approach achieved high accuracy in Fendt (R² = 0.84, RMSE = 8.66) and moderate accuracy in Marquardt (R² = 0.4, RMSE = 10.52).
  • Data-driven model transferability was limited by mowing-induced changes in the LAI-SMC relationship (Fendt), altered plant traits (Grosses Bruch), and time lags between SMC and plant response (Marquardt).

Conclusions:

  • Grassland canopy structure significantly impacts hybrid SMC retrieval, while thatch layers impede its application.
  • Data-driven models demonstrate potential but require careful consideration of management-induced changes affecting the LAI-SMC relationship and plant traits.
  • Further research is needed to develop robust models for high-resolution SMC retrieval from UAS data, particularly addressing challenges in complex grassland environments.