RETRACTED: Water surface area detection using remote sensing temporal data  processed using MATLAB

Mustafa, Faten Azeez; Bayat, Oğuz

doi:10.1177/0020720919851500

Cited by 4 publications

(2 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Remote sensing and GIS technique are powerful tools to detect changes in natural resources in comparison with conventional methods (Al-Quraishi & Negm, 2020;Kaoje & Ishiaku, 2017;Mohamad et al, 2016;Mustafa & Bayat, 2019;Sameen et al, 2014).…”

Section: Remote Sensing Applicationmentioning

confidence: 99%

See 1 more Smart Citation

Surface Area Evaluation of Mosul Dom Lake Using Satellite Imagery Technique

Mahmod

Abbood²,

Hanoon

2020

mijst

View full text Add to dashboard Cite

Due to water resources such as Tigris and Euphrates rivers, tributaries branches, marshlands and lakes, Iraq is considered, generally in the world and especially in Middle East, as one of the richest countries. These resources are already affected by the consequences of climate change increasingly.One of the most vital projects in Iraq is Mosul Dam (in the northern of Iraq), thus, Mosul Dam lake (MDL), in term of surface area, was observed and studied during the prior 35 years to detect the effects of historical climate changes on surface area. Satellite data of Landsat has been used in this study based on route 170 and line 35. Best and cloud-free satellite images were downloaded from US Geological Survey. Eventually, ArcGIS technique was used to process and analyze the satellite images. The result displayed that average surface area and parameter of study area was about 242 km 2 and 432 km consecutively. Relationship between surface area (A) and parameter (P) of study area has been generated and formulated. Furthermore, the correlation coefficient between surface area and parameter was about 71%. Coefficient of variance (COV) was found also to be about

show abstract

Section: Remote Sensing Applicationmentioning

confidence: 99%

“…Landsat 5, 7 and 8 offer a good calibrated continuous data set of moderate spatial resolution (30 m). satellite images are significant for the researches of natural resources(M. F. Khattab & Merkel, 2014;Moran et al, 2001;Mustafa & Bayat, 2019;Rogan & Chen, 2004;Wu et al, 2009;Yaseen et al, 2018).…”

Section: Introductionmentioning

confidence: 99%