Applications of Sar Data to Estimate Forest Biophysical Variables in Brazil

Abstract

Increasing number of articles presenting the use SAR remote sensing for forestry studies in Brazil.Most of articles presenting the use SAR remote sensing for forestry studies have Brazilian Amazonia as study site or Eucaliptus plantations elsewhere.L and P bands data are the most indicated for biomass estimates, although still subject to the backscatter saturation effect.Polarimetric and interferometric studies are becoming a reality with adequate free SAR data and processing systems available.

Estimating Forest Above-Ground Biomass in Central Amazonia Using Polarimetric Attributes of ALOS/PALSAR Images

“…In tropical regions, the use of radar systems allows for acquiring data independent of the time of the day, cloud coverage, and atmospheric conditions [7]. SAR in L-and P-band datasets are the most appropriate sensor for forest studies, particularly the estimation of biomass and forest biophysical variables [8], allowing us to understand the interaction between emitted energy and tree structure at different ecological stages [9]. These types of sensors not only provide valuable information on the spatial distribution and quantification of forest biomass and carbon [10] but also have promising results [11] because of the frequency and polarization that they operate [12] as well as the improved spatial and temporal resolution of the system [13].…”

Ocean surface change detection from remote sensing image based on stochastic similarity measure

“…Due to its independence from sunshine conditions, the processing of synthetic aperture radar (SAR) images has furthered important advances in the scientific research of the remote sensing community. Examples include segmentation and identification of oil patches in the sea (Marques et al, 2012;Huang et al, 2005;Ivanov & Ermoshkin, 2004), mapping of the extent of natural disasters such as floods (Long et al, 2014), mapping of underground rivers in arid areas (Skonieczny et al, 2015), mapping of terrestrial surface waters (Xu et al, 2016), mapping of various biophysical properties in forests (Jesus & Kuplich, 2020), changes detection (Yang et al, 2006;Barreto et al, 2016;Jia et al, 2019Jia et al, , 2020Li et al, 2021), and other fields. The large number of applications of SAR systems is mainly due to the unique characteristics of this type of radar since it provides high-resolution two-dimensional images, independent of daylight, cloud cover and climatic conditions (Moreira et al, 2013).…”