Uncertainties continue to prevail in the potential of natural forests and plantations in carbon stock assessment. The present study was carried out to assess the carbon stock in natural and plantation forests of Manipur using geo-informatics in Imphal East and West districts. The integrated approach of geospatial technology, along with field inventory based data, was used in spatial modeling of biomass carbon of selected natural and plantation forests. The stand density was similar for both LNG and TRS forests (680 individuals ha⁻¹) and lowest for KHP forest (640 individuals ha⁻¹). Paulownia fortunei (770 individuals ha⁻¹) showed highest density among tree species while Tectona grandis (54.07 m² ha⁻¹) followed by Gmelina arborea (42.18 m² ha⁻¹) had higher basal area compared to other tree species. The soil moisture content (%) in the natural forest ranged from 19.13 ± 0.47 to 26.9 ± 0.26%. The soil moisture content in the plantation forest ranged from 19.16 ± 0.98 to 25.83 ± 0.06%. The bulk density of natural forests ranged from 1.27 g cm⁻³ to 1.37 g cm⁻³ while for plantation forests it ranged from 1.18 g cm⁻³ to 1.34 g cm⁻³. Among the studied sites of natural forest, TRS forest had both the highest AGBC value of 132.74 t ha⁻¹ as well as the BGBC value of 38.49 t ha⁻¹. Similarly, among the plantations, T. grandis plantation showed the highest AGBC (193 t ha⁻¹) and BGBC (55.97 t ha⁻¹). On the other hand, Tharosibi forest and T. grandis plantation had the highest total carbon stock for natural and plantation forest with values of 274.824 t ha⁻¹ and 390.88 t ha⁻¹, respectively. The total above-ground carbon stock estimated for the natural forest of KHP, LNG and TRS were 109.60 t ha⁻¹, 79.49 t ha⁻¹ and 132.74 t ha⁻¹, respectively. On the other hand, the estimated total above-ground carbon stock in plantation of GA, PD, PF and TG were 62.93 t ha⁻¹ 62.81 t ha⁻¹, 45.85 t ha⁻¹ and 193.82 t ha⁻¹. In the present study, the relationship with the biomass was observed to be better in SAVI compared to NDVI and TVI. The linear regression analysis performed to determine the relationship between the estimated and predicted biomass resulted in a correlation coefficient of R² = 0.85 for the present study area, which is an indication of a good relationship between the estimated and predicted biomass.

This study was conducted to estimate the Carbon stock potential of roadside trees growing along two important roads of Guwahati, Assam, India viz., Maniram Dewan Road (MDR) and Guwahati Shillong Road (GSR). Total density, total basal cover (TBC), total biomass (TB), total Carbon stock (TCS), and CO₂ equivalent (CO₂ eqv.) of all the tree species growing along the roadsides of MDR and GSR ranged between 32.06 to 32.40 stem ha^–1, 2.14 to 29.02 m² ha^–1, 12.59 to 29.18 Mg ha^–1, 5.04 to 11.67 Mg C ha^–1, and 18.49 to 42.85 Mg ha^–1 respectively. The study revealed that Carbon stock potential of trees from the study sites were comparatively less. Nevertheless, the roadside trees were lessening the effects of CO₂ to some extent, thus mitigating climate change. Therefore, there is a need to increase roadside plantations in both study sites to maximize the amount of Carbon stock potential.