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

GIS Software, Hardware, and Sources of GIS Data01:23

GIS Software, Hardware, and Sources of GIS Data

857
A Geographic Information System (GIS) combines specialized software and hardware to effectively manage, analyze, and present spatial and related data. GIS software includes critical functionalities such as a user interface for easy navigation, database management tools for handling spatial and attribute data, and data retrieval features for efficient access. Analytical tools transform raw data into insights, while display functions produce maps and reports in various formats for effective...
857
Softwoods and Hardwoods01:28

Softwoods and Hardwoods

619
Softwoods and hardwoods, derived from different types of trees, are distinguished by their leaf structures and cellular compositions, each serving unique purposes in construction and manufacturing. Softwoods come from cone-bearing trees with needle-like leaves and are predominantly composed of longitudinal cells called tracheids and a smaller proportion of radial cells known as rays. Due to their cellular structure, softwoods are commonly used in construction for structural frames, sheathing,...
619
Light Acquisition02:16

Light Acquisition

9.7K
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.
9.7K

You might also read

Related Articles

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

Sort by
Same author

SARS-CoV-2 infection during the first trimester leads to profound immune dysregulation at the maternal-fetal interface despite limited virus detection in placental tissues.

Nature communications·2026
Same author

Identification and validation of biomarkers associated with lactic acid metabolism in diabetic nephropathy.

PeerJ·2026
Same author

α-Parvin regulation of cell re-arrangement is critical for ureteric bud branching morphogenesis.

bioRxiv : the preprint server for biology·2025
Same author

Spatiotemporal control of SMARCA5 by a MAPK-RUNX1 axis distinguishes mutant KRAS-driven pancreatic malignancy from tissue regeneration.

Nature cancer·2025
Same author

Aqueous enzymatic extraction to woody oilseeds: principles, promoting oil release and demulsification methods, challenges and perspectives.

Critical reviews in food science and nutrition·2025
Same author

DDSUD: dynamically detecting subsequence uncertainty and diversity for active learning in imbalanced Chinese sentiment analysis.

PeerJ. Computer science·2025

Related Experiment Video

Updated: Feb 23, 2026

Collecting and Processing Drone-based Remotely Sensed Data for Use in Forest Recovery Monitoring
08:16

Collecting and Processing Drone-based Remotely Sensed Data for Use in Forest Recovery Monitoring

Published on: October 24, 2025

707

Combining Multi-Source Remotely Sensed Data and a Process-Based Model for Forest Aboveground Biomass Updating.

Xiaoman Lu1, Guang Zheng2, Colton Miller3

  • 1Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing 210023, China. luxmnju@163.com.

Sensors (Basel, Switzerland)
|September 9, 2017
PubMed
Summary

This study maps forest aboveground biomass (AGB) in China's Greater Khingan Mountains using a physical model. Combining satellite data with the Boreal Ecosystem Productivity Simulator (BEPS) model improved AGB estimation accuracy.

Keywords:
AGBALSBEPSNPPprocess-based model

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

2.1K
Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach
04:35

Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach

Published on: July 3, 2020

3.8K

Related Experiment Videos

Last Updated: Feb 23, 2026

Collecting and Processing Drone-based Remotely Sensed Data for Use in Forest Recovery Monitoring
08:16

Collecting and Processing Drone-based Remotely Sensed Data for Use in Forest Recovery Monitoring

Published on: October 24, 2025

707
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

2.1K
Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach
04:35

Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach

Published on: July 3, 2020

3.8K

Area of Science:

  • Forestry
  • Remote Sensing
  • Ecosystem Modeling

Background:

  • Accurate monitoring of forest aboveground biomass (AGB) is crucial for assessing ecosystem carbon sequestration.
  • Spatio-temporal variations in forest AGB require effective mapping and updating methodologies.

Purpose of the Study:

  • To develop and validate a physical-based approach for mapping and updating forest AGB in the Greater Khingan Mountains (GKM) of China.
  • To dynamically update annual forest AGB from 2009 to 2012 using simulated net primary productivity (NPP).

Main Methods:

  • Established a baseline forest AGB using Landsat ETM+ images from 2008.
  • Incorporated annual AGB increment (ABI) simulated by the Boreal Ecosystem Productivity Simulator (BEPS) model.
  • Validated the 2012 AGB estimates against field and aerial laser scanning (ALS) data.

Main Results:

  • The BEPS-model-based AGB explained 31% of field-based AGB variation and 85% of ALS-based AGB variation.
  • The model showed a tendency to underestimate/overestimate AGB in dense/sparse forests due to optical signal saturation and understory vegetation.
  • Remotely sensed AGB estimates can initialize process-based models for NPP simulation.

Conclusions:

  • The combination of baseline forest AGB and the BEPS model effectively updates the spatiotemporal distribution of forest AGB.
  • This approach provides a robust method for monitoring forest carbon stocks and dynamics.