Results 61 to 70 of about 1,205,740 (288)

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

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

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

High-Resolution Canopy Height Mapping: Integrating NASA's Global Ecosystem Dynamics Investigation (GEDI) with Multi-Source Remote Sensing Data

open access: yesRemote Sensing
Accurate structural information about forests, including canopy heights and diameters, is crucial for quantifying tree volume, biomass, and carbon stocks, enabling effective forest ecosystem management, particularly in response to changing environmental ...
C. Alvites   +8 more
semanticscholar   +1 more source

Canopy Height Estimation in Mediterranean Forests of Spain With TanDEM-X Data

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021
Canopy height is an essential feature in forest inventory, and for the assessment of biomass and carbon budgets. Spatially explicit maps of forest height over large areas can be derived from satellite synthetic aperture radar data.
Cristina Gómez   +7 more
semanticscholar   +1 more source

Forest Canopy Height Estimation Using Polarimetric Interferometric Synthetic Aperture Radar (PolInSAR) Technology Based on Full-Polarized ALOS/PALSAR Data

open access: yesRemote Sensing, 2021
Forest canopy height is a basic metric characterizing forest growth and carbon sink capacity. Based on full-polarized Advanced Land Observing Satellite/Phased Array type L-band Synthetic Aperture Radar (ALOS/PALSAR) data, this study used Polarimetric ...
Wei Chen   +4 more
semanticscholar   +1 more source

Unmanned aerial vehicle based tree canopy characteristics measurement for precision spray applications

open access: yesSmart Agricultural Technology, 2023
The critical components for applying the correct amount of agrochemicals are fruit tree characteristics such as canopy height, canopy volume, and canopy coverage.
Md Sultan Mahmud   +4 more
doaj   +1 more source

Extreme‐Temperature Resistant, Flexible, and Sensitive Strain Sensor for Aerospace Parachute Deployment

open access: yesAdvanced Materials Technologies, EarlyView.
In this study, we report a resistive‐type strain sensor fabricated using single‐walled CNTs, are used layer using the pray technique to deposit as conductive, and UV‐resin was spin‐coated as a protection layer. The sensor functioned in harsh temperature variation conditions from −50°C to 125°C without deterioration.
Jagan Singh Meena   +4 more
wiley   +1 more source

Error Analysis and Accuracy Improvement in Forest Canopy Height Estimation Based on GEDI L2A Product: A Case Study in the United States

open access: yesForests
Various error factors influence the inversion of forest canopy height using GEDI full-waveform LiDAR data, and the interaction of these factors impacts the accuracy of forest canopy height estimation.
Yi Li   +6 more
semanticscholar   +1 more source

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