Estimation Methodology for Forest Biomass in Mongolia Using Remote Sensing

Abstract

Abstract. The forest biomass is one of the most important parameters for the global carbon stock. Information on the forest volume, coverage and biomass are important to develop the global perspective on the CO2 concentration changes. Objective of this research is to estimate forest biomass in the study area. The study area is Hangal sum, Bulgan province, Mongolia. Backscatter coefficients for vertical transmit and vertical receive (VV), for vertical transmit and horizontal receive (VH) from Sentinel data and Leaf Area Index (LAI) from Landsat data were used in the study area. We developed biomass estimation approach using ground truth data which is DBH, height and soil moisture. The coefficient α, β, δ, γ were found from the approach. The output map from the approach was compared with VV and VH, LAI data. The relationship between output map and VH data shows a positive result R2 = 0.61. This study suggests that the biomass estimation using Remote sensing data can be applied in forest region in the North.

Estimation of forest above ground biomass using Sentinel-1 data

“…Монгол орны газрын дээрх биомассыг тооцоход хиймэл дагуулын мэдээ ашиглан Ренчин нар [8] JERS-1 SAR хиймэл дагуулын мэдээ ашиглан ойн биомасс тооцох, Загдаа нар [9] Сэлэнгэ аймаг дахь ойн биомассын мониторинг, Норовсүрэн нар [10] Хиймэл дагуулын мэдээ ашиглан ойн биомасс хамрах хүрээг тооцох, Алтанчимэг нар [11] Булган аймгийн биомасс тооцох аргачлал, зэрэг судалгаануудыг тус тус хийсэн байна.…”

Forest, Forestry and Energy in Mongolia toward Cleaner Production

“…According to Renchin et al [20], the forest biomass cannot be measured directly from space for the time being, but the remotely sensed greenness can be applied to measure biomass on decadal and long-term scales in regions of distinct seasonality, as in the north. Altanchimeg et al [21], developed an approach using ground truth measurements in which the species-specific coefficients of various trees can be used to further estimate the forest biomass resources.…”