Monitoring erosion in tropical savannas from C-band radar coherence

Mapping Erosion Hotspots: Coherent Change Detection in the Quilpie Region, Queensland, Australia

“…This study represents a new method for generating such results; a method that has advantages over similar studies. This study uses only seven coherence pairs to calculate the background coherence, resulting in significantly fewer computation resources than the SBAS method similar to Castellazzi et al [28].…”

“…The laying water correction was only required in areas that were prone to laying water such as in the channel country; however, the soil moisture correction is vital to all CCD analyses that revolve around rain. Castellazzi et al [28] attempted to account for soil moisture using the stacking of coherence pairs with different temporal baselines; however, this did not completely explain how this removes soil moisture. As a result, the authors found that only 6 of the 13 identified areas could be attributed to erosion.…”

“…This study aimed to refine the approach of previous work by proposing a method more rigorous than that used by Cabre et al (2020) [20], but not as computationally heavy as Castellazzi et al, 2023 [28] and will provide a well-established validation of the results. This will be achieved by using fewer coherence pairs to estimate background coherence and correcting for still water and moisture changes while still utilising a streamlined approach.…”

“…To the best of the authors' knowledge, only a limited number of studies have been performed using CCD to measure erosion, with only one being completed in Australia [28] and one other being used in Chile to measure erosion from rain events [20]. These studies both used very different techniques.…”

Understanding the Temporal Dynamics of Coherence and Backscattering Using Sentinel-1 Imagery for Crop-Type Mapping

“…Considering both advantages, combining interferometric coherence with backscattering features were naturally concerned and successfully applied for the moisture estimation of soil and crop [37], [38] and land-cover classification, such as in wetland [39] and grassland areas [40], [41]. For crop classification, there are also some cases in previous studies.…”