This work introduces Sentinel-1 based Inland water dynamics Mapping System (SIMS), an open-source web application developed to enable automated mapping of inland using radar imagery. SIMS relies on a novel framework built Python and Google Earth Engine. The underlying algorithm involves simple binary thresholding technique outlier removal method tailored perform efficiently across complicated f...

Monitoring open water bodies accurately is important for assessing the role of ecosystem services in context human survival and climate change. There are many methods available body extraction based on remote sensing images, such as normalized difference index (NDWI), modified NDWI (MNDWI), machine learning algorithms. Based Landsat-8 this study focuses effects six algorithms three threshold us...

In this work, we aim to evaluate the feasibility and operational limitations of using Sentinel-1 synthetic aperture radar (SAR) data monitor water levels in Poço da Cruz reservoir from September 2016–September 2020, semi-arid region northeast Brazil. To segment water/non-water features, SAR backscattering thresholding was carried out via graphical interpretation backscatter coefficient histogra...

Currently, natural hazards are a significant concern as they contribute to increased vulnerability, environmental degradation, and loss of life, among other consequences. Climate change human activities key factors that various such floods, landslides, droughts, deforestation. Assam state in India experiences annual floods significantly impact the local environment. In 2022, flooding affected a...

Considering the global impact on society due to tailings storage facilities (TSFs) accidents, this article describes a study monitor mine management and prevent mining dam failures, considering analysis of different TSFs real cases. The spatial temporal dynamic behavior supernatant process water pond is studied as critical issue, using remote sensing techniques based multispectral satellite ima...

Uncontrolled tourism activities cause the destruction of nature and deterioration ecological balance. Since coastal areas are both economically socially important, monitoring shoreline changes has become one important research areas. Monitoring short-term long-term in is to prevent damages that may occur due natural human factors protect shorelines. In this study, which an tourist city Antalya,...

The accurate and efficient extraction of urban areas is great significance for better understanding sprawl, built environment, economic activities, population distribution. Night-Time Light (NTL) data have been widely used to extract areas. However, most the existing NTL indexes are incapable identifying non-luminous built-up high-resolution imagery derived from Luojia 1-01 satellite, with low ...

The change in land-use diversity is attributed to the anthropogenic factors sustaining life. surface water bodies and other crucial natural resources study area are being depleted at an alarming rate. This explored implications of changing on by using a random forest (RF) classifier machine-learning algorithm remote-sensing models Gauteng Province, South Africa. Landsat datasets from 1993 2022 ...