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The Egyptian Journal of Remote Sensing and Space Science is a peer-reviewed journal published by Elsevier, covering Remote-Sensing Image Classification, Remote Sensing in Agriculture, Land Use and Ecosystem Services.
| Publisher | Elsevier |
|---|---|
| Reference style | Author–year (Harvard) Author–year — (Smith, 2023) in the text Smith, A., Jones, B. and Lee, C. (2023) 'A representative article title', The Egyptian Journal of Remote Sensing and Space Science, 12(3), pp. 45–58.
Formats any DOI in The Egyptian Journal of Remote Sensing and Space Science style. No sign-up. |
| Publishes research in | Remote-Sensing Image Classification Remote Sensing in Agriculture Land Use and Ecosystem Services Geochemistry and Geologic Mapping Remote Sensing and Land Use |
| ISSN | 1110-9823 |
| Citation impact (2-yr) | 3.79 |
| h-index | 73 |
| i10-index | 434 |
| Total citations | 23,153 |
| Article processing charge | $900 |
| Open access | Yes |
| Top institutions publishing here | National Authority for Remote Sensing and Space Sciences |
| Journal website | www.journals.elsevier.com |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Citations each year’s papers have accumulated so far — the most recent years are still building up.
Digital change detection techniques by using multi-temporal satellite imagery helps in understanding landscape dynamics. The present study illustrates the spatio-temporal dynamics of land use/cover of Hawalbagh block of district Almora, Uttarakhand, India. Landsat satellite imageries of two different time periods, i.e., Landsat Thematic Mapper (TM) of 1990 and 2010 were acquired by Global Land Cover…
Present paper tends to capture the impact of land use land cover (LULC) on land surface temperature (LST) in English Bazar Municipality of Malda District using multi spectral and multi temporal satellite data. Seasonal and temporal LST is extracted in three phases e.g. in 1991, 2010 and 2014. Results show that LST increases 0.070 °C/year…
Evaluation of watersheds and development of a management strategy require accurate measurement of the past and present land cover/land use parameters as changes observed in these parameters determine the hydrological and ecological processes taking place in a watershed. This study applied supervised classification-maximum likelihood algorithm in ERDAS imagine to detect land cover/land use changes observed…
The food shortage and the population growth are the most challenges facing sustainable development worldwide. Advanced technologies such as artificial intelligence (AI), the Internet of Things (IoT), and the mobile internet can provide realistic solutions to the challenges that are facing the world. Therefore, this work focuses on the new approaches regarding smart farming (SF)…
Owing to its severe effect on productivity of rain-fed crops and indirect effect on employment as well as per capita income, agricultural drought has become a prime concern worldwide. The occurrence of drought is mainly a climatic phenomenon which cannot be eliminated. However, its effects can be reduced if actual spatio-temporal information related to crop…
