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JournalISSN: 2226-4353

International Journal of Remote Sensing Applications 

Science and Engineering Publishing, Co.
About: International Journal of Remote Sensing Applications is an academic journal. The journal publishes majorly in the area(s): Land cover & Remote sensing (archaeology). It has an ISSN identifier of 2226-4353. Over the lifetime, 96 publications have been published receiving 622 citations.

Papers published on a yearly basis

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Journal Article
TL;DR: In this paper, the structural changes of forest cover using Landsat and ASTER imageries of the study area were analyzed and a supervised classification was performed on three multi-temporal satellite images and a total of eight major land use and land cover classes were identified and mapped.
Abstract: While the concepts of change detection analysis is not new, the emergence of new imaging sensors and geospatial technologies has created a need for image processing techniques that can integrate observation from a variety of different sensors and datasets to map, detect and monitor forest resources. In addition to timber, forests provide such resources as grazing land for animals, wildlife habitat, water resources and recreation areas and these are threatened constantly by both human impacts like forest fires, air pollution, clearing for agricultural uses, and illegal cutting. Farming activities, continued sand winning operations and the allocation of plots of land to prospective developers in and around the catchments of the Owabi dam pose a serious threat to the forest covers and the lifespan of the dam. The overall objective of this study is to map out and analyze the structural changes of forest cover using Landsat and ASTER imageries of the study area. A supervised classification was performed on three multi-temporal satellite imageries and a total of eight major land use and land cover (LULC) classes were identified and mapped. By using post-classification techniques, from 1986 to 2002 and 2002 to 2007 the forest cover has decreased by an amount of 2136.6 ha and 1231.56 ha respectively representing 24.7% and 14.2%. Generally, the results indicate that from 1986 to 2007, forest cover reduced by 3368.16 ha, representing 38.9%. Decrease in vegetation has been as a result of anthropogenic activities in the study area. An NDVI analysis was performed on these images and it was noted that there was no significant difference between the NDVI classification and the supervised classification of the images. Overlay of the reserved forest of the 1974 and the classified map of 2007 shows vegetation changed during 1986-2007 remarkably.

52 citations

Journal Article
TL;DR: In this paper, the authors used a histogram threshold together with band ratio techniques to estimate the coastline changes for a period of 1990 to 2005 using RS and GIS, and the accuracy of the extracted coastline has been estimated as 1.2 pixels.
Abstract: In both developed and developing countries, the coastal zone is likely to undergo the most profound change in the near future. More than 60 percent of the worldʹs population lives within 60 km of the coast. By the turn of the century two‐thirds of the population (3.7 billion) in developing countries have occupied the coast. Consequently, unless careful environmental management and planning are instituted, severe conflicts over coastal space and resource utilization are likely, and the degradation of natural resources will close development options. In addition to the population pressure, the world’s coastal areas and small islands are highly vulnerable to climate change. Low‐lying delta, barrier coasts, low‐elevation reef islands, and coral atolls are especially sensitive to the rising sea level, as well as to changes in rainfall, storm frequency, and intensity. Inundation, flooding, erosion, and saltwater intrusion are only a few of the potential impacts of climate change. Iran, connected to Caspian Sea in its north and to Persian Gulf and Gulf of Oman in its south, has totally about 5700 kilometers(scale 1:25000)coastlines and this country has the largest coastline in the Persian Gulf. A part of this coastline is located in Bushehr Province. For coastal zone monitoring, coastline extraction in various times is a fundamental work. Coastline, defined as the line of contact between land and a body of water , as one of the most important linear features on the earthʹs surface, holds a dynamic nature; therefore, coastal zone management requires the information about coastline changes. The main objective of this research was to estimate the coastline changes for a period of 1990 to 2005 using RS and GIS. In this research, TM satellite data, dated 1990, were compared with ETM+ satellite data of 2000 and 2005 in order to deduce changes. Different image processing techniques have been carried out to enhance the changes from 1990 to 2005. Band math, band ratio, supervised and unsupervised classification, post classification, band selection and masking were applied using GIS software. In this research, coastlines of the study area were extracted using satellite imagery. These changes were perpetual. However, the coastline has been changed significantly from 2001 to 2005. These great changes have happened as a consequence of development of the south Pars exclusive zone of energy (asaloyeh). A new approach was employed for coastline extraction, for which a histogram threshold together with band ratio techniques was utilized. In order to assess the accuracy of the results, they have been compared with ground truth observations. The accuracy of the extracted coastline has been estimated as 1.2 pixels (pixel size=30 m).

46 citations

Journal Article
TL;DR: In this article, a digital elevation model was used to generate elevation, slopes, and aspect information for land cover distribution in a satellite image of 2003 and a land cover map was overlaid with altitude, slope and aspect maps, which gave quantitative data on the occurrence of the land cover classes of Erica-dominated forest, mixed forest, shrubland, agriculture and grassland as a function of altitude and slope.
Abstract: Altitude, aspect, and slope influence the distribution of land cover types. This paper shows the relationship of land cover distribution with these topographic variables. Geographic information system (GIS) and remote sensing (RS) technologies were used. Information on land cover was obtained by digital classification of a landsat satellite image of 2003. A digital elevation model (DEM) was used to generate elevation, slopes, and aspect information. The land cover map was overlaid with altitude, slope and aspect maps. The result gives quantitative data on the occurrence of the land cover classes of Erica- dominated forest, mixed forest, shrubland, agriculture and grassland as a function of altitude, slope and aspect. Forests were found mainly on north- and northwest-facing slopes of medium and high inclination. Agriculture prevailed at altitudes of 3,000- 3,500 m at gentle slopes of different aspects, while grassland dominated at 3,500-4,000 m on gentle, mainly south-facing slopes. Further study is suggested to investigate the significance of these findings for wildlife habitat distribution and, subsequently, for park management.

32 citations

Journal Article
TL;DR: In this article, some possible misinterpretations are pointed out in the application of the triangle method, and it illustrates the use of both simple and complex formulations to obtain solutions is also illustrated.
Abstract: Some misconceptions in the use of the triangle method for remotely estimating surface soil water content and surface evapotranspiration are described. With the correct interpretation of the geometry, simple solutions for surface soil moisture and evapotranspiration fraction can be obtained. In this paper, some possible misinterpretations are pointed out in the application of the triangle method, and it illustrates the use of both simple and complex formulations to obtain solutions is also illustrated.

29 citations

Journal ArticleDOI
TL;DR: In this article, the authors aimed at predicting evolution of Sundarbans estuary located at the mouth of Bay of Bengal by a set of physical mathematical model through extrapolation of observed morphological behavior of erosion-accretion.
Abstract: The West Bengal part of the Ganges-Brahmaputra delta, popularly known as the Sundarban delta, is a system where intricate estuarine and coastal processes are influenced by adjacent marine, terrestrial and meteorological systems and the dynamic interface amongst the three. Being the center of population growth, coastal sea, ponds/wetlands, estuarine islands in this area are to sustain the negative impact caused by society’s commercial, recreational, and residential activities. Additionally, natural forcing like sea level rise or climate change is a prime issue of concern for this vulnerable tract. Presently, this deltaic system is facing degradation due to natural and anthropogenic causes. Degradation of this littoral tract is manifested in terms of frequent embankment failures, submergence & flooding, beach erosion, siltation within embankment, saline water intrusion in the agricultural field etc. In the above perspective, viable coastal zone management options are to be adopted based on scientific approach retaining socio-economic use of the coastal zone complying with preservation of resources and nature values. Knowledge and understanding of coastal morph dynamic behavior as well as middle to long-term developments therein is essential in this respect. Lack of data pertaining to this coast makes the task all the more difficult than expected and restricts proper estimation of impacts to be caused by the different coastal variables. The present study is aimed at predicting evolution of Sundarbans estuary located at the mouth of Bay of Bengal by a set of physical mathematical model through extrapolation of observed morphological behavior of erosion-accretion. The long term goal of this study is to identify the coupling amongst the coastal processes and mainly two dimensional evolutions (shoreline change) of the form of deltaic island system of West Bengal with special reference to sea level rise which in turn is guided by climate change. This study is carried out so that a greater degree of certainty can be achieved while applying the output as a blue print for the coastal managers and planners for this vulnerable niche. The coastal zone is under heavy pressure from land-based activities located in the catchment of rivers. Traditionally, both scientific research and framework have treated catchments and coasts as separate entities. However, it is increasingly recognized that they should in fact be treated as an integrated whole, encompassing both environmental and socio economic and political systems.

27 citations

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Performance
Metrics
No. of papers from the Journal in previous years
YearPapers
20171
201616
20159
201416
201328
201221