Monitoring seasonal effects in vegetation areas with Sentinel-1 SAR and Sentinel-2 optic satellite images

Polat, Ahmet Batuhan; Akçay, Özgün; Şanlı, Füsun Balık

doi:10.1007/s12517-022-09947-x

Cited by 2 publications

(2 citation statements)

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“…Although there are other methods to evaluate the vegetation, such as the use of LiDAR (Light Detection and Ranging) images, in this study the most feasible was the use of satellite images, due to the scale to be evaluated; and it is suitably viable since it provides us with information on areas with and without timber forest management. Using Sentinel 2 satellite images in vegetated areas significantly increases estimate accuracy ( Polat, Akcay & Balik Sanli, 2022 ).…”

Section: Discussionmentioning

confidence: 99%

“…Through remote sensing, it is possible to extract information about the vegetation in pine-oak forests that are unmanaged and classify the vegetation more easily that through observation methods ( Ancira-Sánchez & Treviño Garza, 2015 ; Polat, Akcay & Balik Sanli, 2022 ). However, factors such as topography, altitude, slope, precipitation, and temperature must always be considered, as indicated in Olthoff, Martinez-Ruiz & Alday (2016) .…”

Section: Discussionmentioning

confidence: 99%

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Carbon mapping in pine-oak stands under timber management in southern Mexico

Ambrosio-Lazo,

Rodríguez-Ortiz,

Rincón-Ramírez

et al. 2023

PeerJ

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The destructive and empirical methods commonly used to estimate carbon pools in forests managed timber are time-consuming, expensive and unfeasible at a large scale; satellite images allow evaluations at different scales, reducing time and costs. The objective of this study was to evaluate the tree biomass (TB) and carbon content (CC) through satellite images derived from Sentinel 2 in underutilized stands in southern Mexico. In 2022, 12 circular sites of 400 m2 with four silvicultural treatments (STs) were established in a targeted manner: 1st thinning (T1), free thinning (FT), regeneration cut (RC) and unmanaged area (UA). A tree inventory was carried out, and samples were obtained to determine their TB based on specific gravity and CC through the Walkey and Black method. The satellite image of the study area was downloaded from Sentinel 2 to fit a simple linear model as a function of the Normalized Difference Vegetation Index (10 m pixel−1) showing significance (p ≤ 0.01) and a adjusted R2 = 0.92. Subsequently, the TB and CC (t ha−1) were estimated for each ST and managed area. The total managed area (3,201 ha−1) had 126 t TB ha−1 and 57 t C ha−1. Of the areas with STs, the area with FT showed the highest accumulation of TB (140 t ha−1) and C (63 t ha−1) without showing differences (p > 0.05) with respect to those of the UA, which presented 129 t TB ha−1 and 58 t C ha−1. The satellite images from Sentinel 2 provide reliable estimates of the amounts of TB and CC in the managed stands. Therefore, it can be concluded that an adequate application of STs maintains a balance in the accumulation of tree C.

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Section: Discussionmentioning

confidence: 99%