Results 31 to 40 of about 4,893 (212)

Modeling Aboveground Biomass in Hulunber Grassland Ecosystem by Using Unmanned Aerial Vehicle Discrete Lidar

open access: yesSensors, 2017
Accurate canopy structure datasets, including canopy height and fractional cover, are required to monitor aboveground biomass as well as to provide validation data for satellite remote sensing products.
Dongliang Wang   +5 more
doaj   +1 more source

Elevation and Distribution of Freshwater and Sewage Canals Regulate Canopy Structure and Differentiate Hurricane Damages to a Basin Mangrove Forest

open access: yesRemote Sensing, 2021
The coastal mangrove forest bears important ecosystem functions and services, including the protection of shorelines and coastal communities. While coastal mangroves often suffer severe damage during storms, understanding the vulnerability and resistance
Qiong Gao, Mei Yu
doaj   +1 more source

Improving GEDI Forest Canopy Height Products by Considering the Stand Age Factor Derived from Time-Series Remote Sensing Images: A Case Study in Fujian, China

open access: yesRemote Sensing, 2023
Forest canopy height plays an important role in forest resource management and conservation. The accurate estimation of forest canopy height on a large scale is important for forest carbon stock, biodiversity, and the carbon cycle. With the technological
Xiaocheng Zhou   +7 more
doaj   +1 more source

Effects of UAV flight height on biomass estimation of desert shrub communities

open access: yesEcological Indicators, 2023
Accurate estimation of desert vegetation biomass is crucial for monitoring changes in carbon stocks and productivity status. Unmanned aerial vehicle (UAV) remote sensing allows large-scale biomass surveys at the individual or patch scale.
Peng Mao   +5 more
doaj   +1 more source

Estimating Canopy Height at Scale

open access: yesCoRR
ICML Camera-Ready, 17 pages, 14 figures, 7 ...
Jan Pauls   +8 more
openaire   +4 more sources

Estimating Forest Canopy Height Using MODIS BRDF Data Emphasizing Typical-Angle Reflectances

open access: yesRemote Sensing, 2019
Forest-canopy height is an important parameter for the estimation of forest biomass and terrestrial carbon flux and climate-change research at regional and global scales.
Lei Cui   +9 more
doaj   +1 more source

Correction of Terrain Effects on Forest Canopy Height Estimation Using ICESat-2 and High Spatial Resolution Images

open access: yesRemote Sensing, 2022
The Ice, Cloud, and Land Elevation Satellite–2 (ICESat–2) carries the Advanced Topographic Laser Altimeter System (ATLAS), enabling global canopy height measurements from forest canopy height models (CHMs). Topographic slope is a crucial factor affecting
Bin Li   +6 more
doaj   +1 more source

Deep learning-driven forest canopy height mapping in boreal regions through multi-source remote sensing fusion: Integrating Sentinel-1/2, PALSAR, and ICESat-2/LVIS data

open access: yesInternational Journal of Applied Earth Observations and Geoinformation
Forest canopy height is a key indicator for estimating forest carbon sinks and managing vegetation growth. Existing methods for fusing optical and Light Detection and Ranging (LiDAR) data still have limitations in canopy height estimation for boreal ...
Chenxi Liu   +6 more
doaj   +1 more source

Mapping Canopy Heights of Poplar Plantations in Plain Areas Using ZY3-02 Stereo and Multispectral Data

open access: yesISPRS International Journal of Geo-Information, 2019
Forest canopy height plays an important role in forest management and ecosystem modeling. There are a variety of techniques employed to map forest height using remote sensing data but it is still necessary to explore the use of new data and methods.
Mingbo Liu   +3 more
doaj   +1 more source

Spaceborne canopy height products should be complemented with airborne laser scanning data: Towards a European canopy height model

open access: yesEarth and Space Science
Measuring and mapping vegetation structure is essential for understanding the functioning of terrestrial ecosystems and for informing environmental policies. Recent years have seen a growing demand for high-resolution data on vegetation structure, driving their prediction at fine resolutions (1 m - 30 m) at state, continental, and global spatial ...
Vítězslav Moudrý   +39 more
openaire   +7 more sources

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