Lake Urmia is the 20th largest lake and the second largest hyper saline lake (before September 2010) in the world. It is also the largest inland body of salt water in the Middle East. Nevertheless, the lake has been in a critical situation in recent years due to decreasing surface water and increasing salinity. This study modeled the spatiotemporal changes of Lake Urmia in the period 2000–2013 ...

17 Abstract—This study outlines a method for generating an 18 automated micro-landform map of an alluvial plain for 19 further flood hazard assessment by combining Shuttle Radar 20 Topographic Mission Digital Elevation Model (SRTM DEM) 21 and satellite images. Average elevation and channel features 22 extracted from DEM are associated with soil moist condition 23 (thresholds of Modified Normali...

Qilu Lake is one of the nine plateau lakes in Yunnan Province, China. In recent years, under influence extreme climate and human activities, area has shrunk significantly, water level dropped, problem shortage become increasingly serious. Based on Landsat MODIS image data from 2000 to 2020, this study applied ESTARFM spatiotemporal fusion model unify images used February, three kinds body index...

Accurate monitoring of water bodies is essential for the management and regulation resources. Traditional methods measuring quality are always time-consuming expensive; furthermore, it can be very difficult capture full spatiotemporal variations across regions. Many studies have shown possibility remote-sensing-based work in many areas, especially monitoring. However, use optical remotely sense...

Based on the spectral reflection characteristics analysis of muddy coastline in Jiangsu, an improved water index (IWI) combined with Otsu algorithm is proposed to extract coastlines from Landsat Operational Land Imager (OLI) images. The IWI-extracted results are compared those extracted by modified normalized difference (MNDWI), (NDWI), enhanced (EWI), revised different (RNDWI) and automated ex...

Landsat remote sensing image is a widely used data source in water sensing. Normalized difference index (NDWI), modified normalized (MNDWI) and automated extraction (AWEI) are commonly classifiers. In the process of their application, because threshold varies with location time research object, how to select highest classification accuracy time-consuming challenging task. The purpose this study...

Continuous monitoring of water surfaces is essential for resource management. This study presents a nonparametric unsupervised automatic algorithm the identification inland pixels from multispectral satellite data using multidimensional clustering and high-performance subsampling approach large scenes. Clustering analysis technique that used to identify similar samples in space. The spectral in...

The flooded areas of corn cultivation were determined by means satellite images in order to know the economic losses due floods. As a case study, flood that occurred in 2016 affected 4 municipalities in State Tabasco, Mexico, was analyzed. methodology included use Landsat (L8), calculation spectral indices (water, vegetation and humidity), identification growing through supervised classificatio...