Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
612-822-4611

  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Spatial Distribution of Forest Biomass in the Terai Region of Nepal

Spatial Distribution of Forest Biomass in the Terai Region of Nepal

K. C., Yam Bahadur

Paperback

Botany & Horticulture

ISBN10: 620844067X
ISBN13: 9786208440671
Publisher: LAP Lambert Academic Publishing
Published: Jul 4 2025
Pages: 160
Weight: 0.49
Height: 0.37 Width: 6.00 Depth: 9.00
Language: English
Forests play a vital role in global carbon cycles, necessitating accurate above-ground biomass (AGB) estimation for climate strategies. This study focuses on Nepal's Central Terai, integrating airborne LiDAR, field inventory, and multisource satellite imagery (PlanetScope, Sentinel-2) for AGB estimation. LiDAR data (32 metrics) and field measurements (110 plots) were used, with Random Forest (RF) outperforming stepwise linear regression (R = 0.85, RMSE = 60.9 ton/ha). Further integration with Sentinel-2 improved accuracy (R = 0.92, RMSE = 44.58 ton/ha). AGB distribution was influenced by climate, topography, and human activity, with land use, temperature, and precipitation explaining 64% of variability. Higher AGB was linked to moderate climate conditions, elevation, and river proximity, while roads negatively impacted biomass. The study highlights LiDAR's utility, machine learning's role in enhancing AGB estimation, and the need for integrated remote sensing approaches for sustainable forest management and climate adaptation in biodiversity-rich regions.

Also from

K. C., Yam Bahadur

View All

Also in

Botany & Horticulture

View All