Observation of maritime traffic in southern Iran during the Covid-19 outbreak using Sentinel-1 images In Google Earth Engine Platform

Excess irrigation may result in deep percolation and nitrate transport to groundwater. Furthermore, under Mediterranean climate conditions, heavy winter rains often high percolation, requiring the separate identification of two sources percolated water. An integrated methodology was developed estimate spatio-temporal dynamics with actual crop evapotranspiration (ETc act) being derived from sate...

Information on the spatial distribution of aquaculture ponds, especially inland brackish aquaculture, is crucial for effective and sustainable management. Google Earth Engine (GEE) has been utilized to quickly map ponds in different parts world, but application still limited tropical regions. Selection an optimal water index essential accurately from Landsat 8 satellite images that are availabl...

A preliminary version of a global automatic burned-area (BA) algorithm at medium spatial resolution was developed in Google Earth Engine (GEE), based on Landsat or Sentinel-2 reflectance images. The involves two main steps: initial burned candidates are identified by analyzing spectral changes around MODIS hotspots, and those then used to estimate the burn probability for each scene. burning da...

Due to its relation the Earth’s climate and weather phenomena like drought, flooding, or landslides, knowledge of soil moisture content is valuable many scientific professional users. Remote-sensing offers unique possibility for continuous measurements this variable. Especially agriculture, there a strong demand high spatial resolution mapping. However, operationally available products exist wi...

Land cover is the most critical information required for land management and planning because human interference on can be easily detected through it. However, mapping utilizing optical remote sensing not easy due to acute shortage of cloud-free images. Google Earth Engine (GEE) an efficient effective tool huge analysis by providing access large volumes imagery available within a few days after...