Ramsar Convention (RC) is the first of modern intergovernmental agreement on conscious use and conservation natural resources. It provides a platform for contracting parties working together to develop best available data, advice, policy recommendations increase awareness benefits wetlands in nature society. Turkey became party RC 1994, years 1994 2013, 14 that reached criteria were recognized ...

As one of the widely concerned urban climate issues, heat island (UHI) has been studied using local zone (LCZ) classification scheme in recent years. More and more effort focused on improving LCZ mapping accuracy. It become a prevalent trend to take advantage multi-source images mapping. To this end, paper tried utilize freely available datasets: Sentinel-2 multispectral instrument (MSI), Senti...

Cropland expansion is expected to increase across sub-Saharan African (SSA) countries in the next thirty years meet growing food needs continent. These land transformations will have cascading social and ecological impacts that can be monitored using novel Earth observation techniques produce datasets complementary national cropland surveys. In this study, we present a flexible Bayesian data sy...

Seepage of geological methane through sediments Arctic lakes might contribute conceivably to the atmospheric budget. However, abundance and precise locations such seeps are poorly quantified. For Lake Neyto, one largest on Yamal Peninsula in Northwestern Siberia, temporally expanding regions anomalously low backscatter C-band SAR imagery acquired late winter spring have been suggested be relate...

Abstract. Sentinel-1 C-band synthetic aperture radar (SAR) images can be used to observe the drift of icebergs over Southern Ocean with around 1–3 d temporal resolution and 10–40 m spatial resolution. The Google Earth Engine (GEE) cloud-based platform allows processing a large quantity images, saving time computational resources. In this study, we process data via GEE detect track iceberg B43 d...

Accurate crop type mapping provides numerous benefits for a deeper understanding of food systems and yield prediction. Ever-increasing big data, easy access to high-resolution imagery, cloud-based analytics platforms like Google Earth Engine have drastically improved the ability scientists advance data-driven agriculture with algorithms using remote sensing, computer vision, machine learning. C...

Abstract. In recent decades, global warming and sea level rise, population growth, intensification of human activities, have directly affected the coasts as such, their monitoring for accretion retreat are among issues that considered by coastal countries. This study, compares two supervised classification algorithms classifying Sentinel-2 satellite imagery shoreline extraction. Median monthly ...