Optimization of Tecis Lidar Waveform Metrics for Forest Height Estimation DOI

Xiaojun Liang,

Yong Pang,

Canlong Wang

et al.

Published: Jan. 1, 2024

Language: Английский

Current and Near-Term Earth-Observing Environmental Satellites, Their Missions, Characteristics, Instruments, and Applications DOI Creative Commons
Susan L. Ustin,

Elizabeth M. Middleton

Sensors, Journal Year: 2024, Volume and Issue: 24(11), P. 3488 - 3488

Published: May 28, 2024

Among the essential tools to address global environmental information requirements are Earth-Observing (EO) satellites with free and open data access. This paper reviews those EO from international space programs that already, or will in next decade so, provide of importance sciences describe Earth’s status. We summarize factors distinguishing pioneering placed over past half century, their links modern ones, changing priorities for spaceborne instruments platforms. illustrate broad sweep instrument technologies useful observing different aspects physio-biological surface, spanning wavelengths UV-A at 380 nanometers microwave radar out 1 m. a background on technical specifications each mission its primary instrument(s), types collected, examples applications these observations. websites additional details instrument, history context behind measurements, about design, specifications, measurements.

Language: Английский

Citations

5

Using airborne LiDAR and enhanced-geolocated GEDI metrics to map structural traits over a Mediterranean forest DOI Creative Commons
Aarón Cárdenas-Martínez, Adrián Pascual, Emilia Guisado‐Pintado

et al.

Science of Remote Sensing, Journal Year: 2025, Volume and Issue: unknown, P. 100195 - 100195

Published: Jan. 1, 2025

Language: Английский

Citations

0

Remote Sensing of Leaf Area Index, FAPAR, and Clumping Index DOI
Hongliang Fang, Yinghui Zhang, Wenjuan Li

et al.

Elsevier eBooks, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 1, 2025

Language: Английский

Citations

0

Can Stereoscopic Density Replace Planar Density for Forest Aboveground Biomass Estimation? A Case Study Using Airborne LiDAR and Landsat Data in Daxing’anling, China DOI Creative Commons
Xuan Mu, Dan Zhao, Zhaoju Zheng

et al.

Remote Sensing, Journal Year: 2025, Volume and Issue: 17(7), P. 1163 - 1163

Published: March 25, 2025

Forest aboveground biomass (AGB) is a key indicator for evaluating carbon sequestration capacity and forest productivity. Accurate regional-scale AGB estimation crucial advancing research on global climate change, ecosystem cycles, ecological conservation. Traditional methods, whether based LiDAR or optical remote sensing, estimate using planar density (t/ha) multiplied by pixel area, which fails to account vertical structure variability. This study proposes novel “stereoscopic (stereo) × volume” approach, upgrading stereo (t/ha/m) integrating canopy height information, thereby improving accuracy exploring the feasibility of this new method. In Daxing’anling region, plot-scale models were developed stepwise linear regression (SLR) both “planar area” “stereo methods. Results indicated that model arithmetic mean (HAM) achieved comparable (R2 = 0.83, RMSE 2.77 t) with 2.52 t). At regional scale, high-precision estimates derived from airborne combined vegetation indices Landsat Thematic Mapper (TM), topographic factors DEM develop models, SLR random (RF) algorithms. The results 10-fold cross-validation demonstrated superiority method over method, RF outperforming SLR. optimal RF-based HAM 0.65, rRMSE 26.05%) significantly improved compared 0.59, 30.41%). Independent validation 75 field plots higher R2 0.45 model’s 0.35. These findings suggest approach mitigates underestimation caused variability in no significant differences observed across types. conclusion, use superior sensing. offers scalable solution stock assessment.

Language: Английский

Citations

0

Combining geometric-optical and spectral invariants theories for modeling canopy fluorescence anisotropy DOI
Yachang He, Yelu Zeng, Dalei Hao

et al.

Remote Sensing of Environment, Journal Year: 2025, Volume and Issue: 323, P. 114716 - 114716

Published: April 2, 2025

Language: Английский

Citations

0

Taller forests are globally more drought-resistant DOI Creative Commons
Jing M. Chen,

Xingmin Zhao,

Zhaoying Zhang

et al.

Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 23, 2024

Abstract Droughts exert a critical impact on forest growth, posing great challenges for sustainability globally. However, the mechanistic role of height (H) in modulating drought resistance remains poorly understood. Utilizing spaceborne observations H and solar-induced chlorophyll fluorescence as proxy photosynthesis, here we show that taller forests consistently demonstrate higher to stress globally, across varying levels severity. This suggests maintain stability under fluctuating climatic conditions. By synthesizing global root data, found this enhanced is closely tied deeper rooting systems forests. Our findings underscore ecosystem functioning advocate its inclusion key trait models improve simulations responses climate change.

Language: Английский

Citations

1

Optimization of Tecis Lidar Waveform Metrics for Forest Height Estimation DOI

Xiaojun Liang,

Yong Pang,

Canlong Wang

et al.

Published: Jan. 1, 2024

Language: Английский

Citations

0