Published: Jan. 1, 2024
Language: Английский
Published: Jan. 1, 2024
Language: Английский
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
5Science of Remote Sensing, Journal Year: 2025, Volume and Issue: unknown, P. 100195 - 100195
Published: Jan. 1, 2025
Language: Английский
Citations
0Elsevier eBooks, Journal Year: 2025, Volume and Issue: unknown
Published: Jan. 1, 2025
Language: Английский
Citations
0Remote 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
0Remote Sensing of Environment, Journal Year: 2025, Volume and Issue: 323, P. 114716 - 114716
Published: April 2, 2025
Language: Английский
Citations
0Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown
Published: Oct. 23, 2024
Language: Английский
Citations
1Published: Jan. 1, 2024
Language: Английский
Citations
0