Hussein Harahsheh - Academia.edu (original) (raw)

Papers by Hussein Harahsheh

Journal of photogrammetry, remote sensing and geoinformation science, Jun 28, 2024

Doklady Earth Sciences, Nov 10, 2023

Journal of photogrammetry, remote sensing and geoinformation science, May 21, 2024

the arab world geographer, Feb 24, 2011

The objective of this study is to produce a land cover classification dataset for the whole of As... more The objective of this study is to produce a land cover classification dataset for the whole of Asia using a NOAA AVHRR 1-km dataset. Ground truth data were mainly collected from existing thematic maps, which were obtained from members of the Land Cover Working Group (LCWG) of the Asian Association on Remote Sensing (AARS). Classification was mainly based on cluster analysis of the monthly ratio of surface temperature to Normalized Difference Vegetation Index (NDVI) for seven months from April to October 1992. Additional variables, such as DEM, the maximum monthly composite NDVI in a year, and the minimum monthly composite NDVI in a year were also used in the classification processing. A CD-ROM including the land cover classification dataset has been published.

the arab world geographer, Feb 24, 2011

This paper evaluates the analysis of spectral information using RADARSAT, SPOT Panchromatic, and ... more This paper evaluates the analysis of spectral information using RADARSAT, SPOT Panchromatic, and Landsat-TM images for land use/land cover classification in a tropical area. The case study is of Bogor, located in West Java, Indonesia. In order to increase spectral contrast of the Landsat-TM image, two procedures for information compression, colour composite and PCA (Principal Component Analysis) were tested. The best five RGB colour composites were produced, which were visually and statistically investigated, including the RGB colour composites of PC-1, PC-2, and PC-3, which were created from standard and selective principal component analysis (PCA), respectively. To merge images, two spectral-based image fusion techniques were applied: IHS (Intensity, Hue, and Saturation) and Brovey transforms. A land use/land cover classification using IHS transform from the RGB colour composites of PC-1, PC-2, and PC-3, where the intensity was replaced by SPOT Panchromatic, was the best result. It has an overall accura...

Proceedings of SPIE, Mar 14, 2003

ABSTRACT Remote Sensing provides a diversity of data from the superficial environmental, which ca... more ABSTRACT Remote Sensing provides a diversity of data from the superficial environmental, which can be manipulated and analyzed by Geographic Information Systems (GIS) to extract information relevant to the understanding of environmental hazards. This applies especially to the study of desert conditions, desertification monitoring, assessment and mapping. This contribution utilizes remote sensing data and techniques to evaluate the biological and physical parameters related to land degradation and desertification, such as water, vegetation, geomorphology, drainage system, soil moisture, etc. Multi-temporal analysis of Landsat TM images is used to monitor the effects on vegetation of the increase in areas of irrigation during the period of 1983-1997. The analysis clearly demonstrates a net decrease in vegetation cover. This situation exemplifies the deterioration of the natural vegetation cover. A Geographic Information System was used to combine and interpret a range of parameters (land use, soil type, topography, climate, etc.). A result of this GIS analysis is the provision of maps showing water erosion, wind erosion, vegetation degradation and salinization. A final stage of this research was the construction of a

Springer eBooks, 2013

ABSTRACT The soils of Dubai were mapped using remote-sensing satellite data (IRS-P6 LISS-IV) at 1... more ABSTRACT The soils of Dubai were mapped using remote-sensing satellite data (IRS-P6 LISS-IV) at 1:25,000 scale and classified to soil series level and their associations as per the USDA-NRCS Keys to Soil Taxonomy. A total of 26 soil series have been identified in Dubai Emirate, of which 13 were identified in Hatta area. The soils in general are coarse textured, sandy, highly calcareous and least developed. In the coastal and low-lying areas and depressions, the soils are highly saline; in the inland, soils are either saline or sodic. The Hatta area is characterized by mountains with steep side slopes, which are devoid of vegetation. Almost all the hills are barren (80–90%) and rocky without any soil cover. The soils in the hilly area are shallow to very shallow, skeletal in nature and highly calcareous. The soils have been assessed for land capability classes, and 17% of the total study area falls under land capability class IV, with the major limitations of climate and soil characteristics. These soils are suitable for marginal agriculture with the condition that sufficient water is available to offset water requirements of crops. The dominant land capability class identified in Dubai Emirate is class VI covering 65% of the study area. The dominant land capability class in Hatta is class VIII. Thus, the soil has major limitations of climate and soil which can be improved by adopting various soil conservation measures like sand dune levelling and stabilization, shelter belts and afforestation.

CEReS, Chiba University eBooks, 1999

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Jun 24, 2016

Abu Dhabi Government endorsed vision for its Maritime Strategy 'A safe, secure and sustainable ma... more Abu Dhabi Government endorsed vision for its Maritime Strategy 'A safe, secure and sustainable maritime domain for Abu Dhabi'. This research study share this vision using the concept of monitoring as tool for marine protection against any possible oil pollution. The best technology to detect and monitor oil pollution and in particularly oil spill is SAR imagery In this case study we chose KOMPSAT-5 SAR. KOMPSAT-5 carries X-band SAR for earth observation, and is capable of day-and-night imaging under all weather condition. It provides three operation modes: High Resolution Mode to provide 1 m resolution, Standard Mode to provide 3 m resolution and Wide Swath Mode to provide 20 m resolution with 100 km swath at 550 km altitude, with four modes of polarization. KOMPSAT-5 provides products for various applications; security and defense, mapping, and natural resource management, environmental monitoring, disaster monitoring and more. For our case study we chose to work with Wide Swath mode (WS) with Vertical polarization (VV) to cover a wide area of interest located to the north west of Abu Dhabi including some important islands like "Zirku Island", and areas with oil production activities.

学術講演会論文集 = Proceedings of the ... Japanese Conference on Remote Sensing, May 1, 1999

the arab world geographer, Feb 24, 2011

This paper evaluates the analysis of spectral information using RADARSAT, SPOT Panchromatic, and ... more This paper evaluates the analysis of spectral information using RADARSAT, SPOT Panchromatic, and Landsat-TM images for land use/land cover classification in a tropical area. The case study is of Bogor, located in West Java, Indonesia. In order to increase spectral contrast of the Landsat-TM image, two procedures for information compression, colour composite and PCA (Principal Component Analysis) were tested. The best five RGB colour composites were produced, which were visually and statistically investigated, including the RGB colour composites of PC-1, PC-2, and PC-3, which were created from standard and selective principal component analysis (PCA), respectively. To merge images, two spectral-based image fusion techniques were applied: IHS (Intensity, Hue, and Saturation) and Brovey transforms. A land use/land cover classification using IHS transform from the RGB colour composites of PC-1, PC-2, and PC-3, where the intensity was replaced by SPOT Panchromatic, was the best result. It has an overall accura...

Middle East region can be divided into two simple zones, the northern mountain belt, comprising t... more Middle East region can be divided into two simple zones, the northern mountain belt, comprising the states of Turkey, Iran and northern part of Iraq. The second zone formed by plains and dissected plateaus. Middle East region is a region with the highest rate of population growth in the world, from 102 millions on 1960 to 318 millions on 2000, with annual growth about 3%. It is facing environmental problems of land degradation and desertification. Whereas the most of Arabian Peninsula is free of perennial vegetation. For most areas shifting sand dunes are incapable of sustaining plants life. Most of marginal lands in Middle East are permanent pastures of 1.35 millions sq. km, and 85% of them are considered in danger to desertification. These marginal lands are subject to human activities and susceptible to inappropriate land use practices, such as overgrazing, fuel cutting and inadequate cultivation. The study concerned with the utilization of Remote Sensing and Geographic Informati...

This study demonstrated how interpretation of RADARSAT images improved our understanding of earth... more This study demonstrated how interpretation of RADARSAT images improved our understanding of earth's surface and performed the analysis signal/terrain interaction, which results in terms of textures and other's characters of RADARSAT imagery. Focusing was placed on visual interpretation of RADARSAT images in order to make a good distinguishes between different tones, textures shapes, patterns and signatures. The next step was the establishment of charts for tones and textures, which were employed together with the signature characteristics of RADARSAT images to develop an "interpretation key" for agricultural land use purposes. We applied supervised classifications on Landsat TM images and on Landsat TM images integrated with RADARSAT images. Then comparisons of tones, textures and patterns were done between the two kinds of images. We found that characteristics of RADARSAT images such as tone, texture signature and pattern are very important elements for visual int...

Developments in Earth and Environmental Sciences, 2005

ABSTRACT The capability of satellite remote sensing to provide synoptic, repetitive and multispec... more ABSTRACT The capability of satellite remote sensing to provide synoptic, repetitive and multispectral data has proved to be very useful in inventory and monitoring of coastal features, such as tidal wet-lands, potential aquaculture sites, mangroves, estuary-dynamics/shoreline-changes, and off-shore aspects like suspended sediment dynamics and coastal currents, near-shore bathymetry, internal waves, etc. The Indian Remote Sensing Satellite data IRS 1C 1D and IRS-P4 (Oceansat) have been found to be useful in study of the above coastal features. It also has potential towards marine applications by providing chlorophyll/primary productivity estimate and extent and spread of oil slicks. Significant results of these applications and studies are outlined in this chapter. Thematic maps of coral reefs are being prepared using IRS 1C LISS data for the Gulf of Kach. Change detection results are being produced using IRS 1D to show the changes on the Earth's surface before and after Gujarat earthquake, while IRS-P4 OCM data are used to detect the pre- and post-distribution of chlorophyll concentrations and suspended solids concentrations.

Remote Sensing for Environmental Monitoring, GIS Applications, and Geology II, 2003

ABSTRACT Remote Sensing provides a diversity of data from the superficial environmental, which ca... more ABSTRACT Remote Sensing provides a diversity of data from the superficial environmental, which can be manipulated and analyzed by Geographic Information Systems (GIS) to extract information relevant to the understanding of environmental hazards. This applies especially to the study of desert conditions, desertification monitoring, assessment and mapping. This contribution utilizes remote sensing data and techniques to evaluate the biological and physical parameters related to land degradation and desertification, such as water, vegetation, geomorphology, drainage system, soil moisture, etc. Multi-temporal analysis of Landsat TM images is used to monitor the effects on vegetation of the increase in areas of irrigation during the period of 1983-1997. The analysis clearly demonstrates a net decrease in vegetation cover. This situation exemplifies the deterioration of the natural vegetation cover. A Geographic Information System was used to combine and interpret a range of parameters (land use, soil type, topography, climate, etc.). A result of this GIS analysis is the provision of maps showing water erosion, wind erosion, vegetation degradation and salinization. A final stage of this research was the construction of a

Many satellite-borne image data have been acquired in the Arabian Gulf since the mid 80's by... more Many satellite-borne image data have been acquired in the Arabian Gulf since the mid 80's by different space agencies and have demonstrated oil spill related features at sea. Severe oil spills were caused occasionally by accidental or deliberate oil sludge dumping from passing ships. Serious damage to fishery, water desalination plants and natural habitats are concerned. The work done is the first step towards oil spill monitoring of the offshore UAE and its adjacent waters. The interim results of this study demonstrate and confirm that the offshore UAE faces frequent occurrences of oil spills both in the Arabian Gulf and in the Gulf of Oman. Offshore Fujairah shows considerable spill concentration in multi-temporal image analysis. Ballast water containing residual oil is discharged from oil tankers there and is identified as the source of those spills. Discriminating oil spills is an important step for planning intense monitoring scheme based on space-borne imagery, which is a...

Oil Pollution and its Environmental Impact in the Arabian Gulf Region, 2005

Oil spill pollution is a serious threat to marine environments along the UAE coast line. Consider... more Oil spill pollution is a serious threat to marine environments along the UAE coast line. Considerable oil spills have been caused by accidental and deliberate oil sludge dumping from passing ships during the past. Damage to fishery, seawater desalination, and damage to plants and ...

Developments in Soil Classification, Land Use Planning and Policy Implications, 2013

ABSTRACT The soils of Dubai were mapped using remote-sensing satellite data (IRS-P6 LISS-IV) at 1... more ABSTRACT The soils of Dubai were mapped using remote-sensing satellite data (IRS-P6 LISS-IV) at 1:25,000 scale and classified to soil series level and their associations as per the USDA-NRCS Keys to Soil Taxonomy. A total of 26 soil series have been identified in Dubai Emirate, of which 13 were identified in Hatta area. The soils in general are coarse textured, sandy, highly calcareous and least developed. In the coastal and low-lying areas and depressions, the soils are highly saline; in the inland, soils are either saline or sodic. The Hatta area is characterized by mountains with steep side slopes, which are devoid of vegetation. Almost all the hills are barren (80–90%) and rocky without any soil cover. The soils in the hilly area are shallow to very shallow, skeletal in nature and highly calcareous. The soils have been assessed for land capability classes, and 17% of the total study area falls under land capability class IV, with the major limitations of climate and soil characteristics. These soils are suitable for marginal agriculture with the condition that sufficient water is available to offset water requirements of crops. The dominant land capability class identified in Dubai Emirate is class VI covering 65% of the study area. The dominant land capability class in Hatta is class VIII. Thus, the soil has major limitations of climate and soil which can be improved by adopting various soil conservation measures like sand dune levelling and stabilization, shelter belts and afforestation.

the arab world geographer, 2011

The objective of this study is to produce a land cover classification dataset for the whole of As... more The objective of this study is to produce a land cover classification dataset for the whole of Asia using a NOAA AVHRR 1-km dataset. Ground truth data were mainly collected from existing thematic maps, which were obtained from members of the Land Cover Working Group (LCWG) of the Asian Association on Remote Sensing (AARS). Classification was mainly based on cluster analysis of the monthly ratio of surface temperature to Normalized Difference Vegetation Index (NDVI) for seven months from April to October 1992. Additional variables, such as DEM, the maximum monthly composite NDVI in a year, and the minimum monthly composite NDVI in a year were also used in the classification processing. A CD-ROM including the land cover classification dataset has been published.

Journal of photogrammetry, remote sensing and geoinformation science, Jun 28, 2024

Doklady Earth Sciences, Nov 10, 2023

Journal of photogrammetry, remote sensing and geoinformation science, May 21, 2024

the arab world geographer, Feb 24, 2011

The objective of this study is to produce a land cover classification dataset for the whole of As... more The objective of this study is to produce a land cover classification dataset for the whole of Asia using a NOAA AVHRR 1-km dataset. Ground truth data were mainly collected from existing thematic maps, which were obtained from members of the Land Cover Working Group (LCWG) of the Asian Association on Remote Sensing (AARS). Classification was mainly based on cluster analysis of the monthly ratio of surface temperature to Normalized Difference Vegetation Index (NDVI) for seven months from April to October 1992. Additional variables, such as DEM, the maximum monthly composite NDVI in a year, and the minimum monthly composite NDVI in a year were also used in the classification processing. A CD-ROM including the land cover classification dataset has been published.

the arab world geographer, Feb 24, 2011

This paper evaluates the analysis of spectral information using RADARSAT, SPOT Panchromatic, and ... more This paper evaluates the analysis of spectral information using RADARSAT, SPOT Panchromatic, and Landsat-TM images for land use/land cover classification in a tropical area. The case study is of Bogor, located in West Java, Indonesia. In order to increase spectral contrast of the Landsat-TM image, two procedures for information compression, colour composite and PCA (Principal Component Analysis) were tested. The best five RGB colour composites were produced, which were visually and statistically investigated, including the RGB colour composites of PC-1, PC-2, and PC-3, which were created from standard and selective principal component analysis (PCA), respectively. To merge images, two spectral-based image fusion techniques were applied: IHS (Intensity, Hue, and Saturation) and Brovey transforms. A land use/land cover classification using IHS transform from the RGB colour composites of PC-1, PC-2, and PC-3, where the intensity was replaced by SPOT Panchromatic, was the best result. It has an overall accura...

Proceedings of SPIE, Mar 14, 2003

ABSTRACT Remote Sensing provides a diversity of data from the superficial environmental, which ca... more ABSTRACT Remote Sensing provides a diversity of data from the superficial environmental, which can be manipulated and analyzed by Geographic Information Systems (GIS) to extract information relevant to the understanding of environmental hazards. This applies especially to the study of desert conditions, desertification monitoring, assessment and mapping. This contribution utilizes remote sensing data and techniques to evaluate the biological and physical parameters related to land degradation and desertification, such as water, vegetation, geomorphology, drainage system, soil moisture, etc. Multi-temporal analysis of Landsat TM images is used to monitor the effects on vegetation of the increase in areas of irrigation during the period of 1983-1997. The analysis clearly demonstrates a net decrease in vegetation cover. This situation exemplifies the deterioration of the natural vegetation cover. A Geographic Information System was used to combine and interpret a range of parameters (land use, soil type, topography, climate, etc.). A result of this GIS analysis is the provision of maps showing water erosion, wind erosion, vegetation degradation and salinization. A final stage of this research was the construction of a

Springer eBooks, 2013

ABSTRACT The soils of Dubai were mapped using remote-sensing satellite data (IRS-P6 LISS-IV) at 1... more ABSTRACT The soils of Dubai were mapped using remote-sensing satellite data (IRS-P6 LISS-IV) at 1:25,000 scale and classified to soil series level and their associations as per the USDA-NRCS Keys to Soil Taxonomy. A total of 26 soil series have been identified in Dubai Emirate, of which 13 were identified in Hatta area. The soils in general are coarse textured, sandy, highly calcareous and least developed. In the coastal and low-lying areas and depressions, the soils are highly saline; in the inland, soils are either saline or sodic. The Hatta area is characterized by mountains with steep side slopes, which are devoid of vegetation. Almost all the hills are barren (80–90%) and rocky without any soil cover. The soils in the hilly area are shallow to very shallow, skeletal in nature and highly calcareous. The soils have been assessed for land capability classes, and 17% of the total study area falls under land capability class IV, with the major limitations of climate and soil characteristics. These soils are suitable for marginal agriculture with the condition that sufficient water is available to offset water requirements of crops. The dominant land capability class identified in Dubai Emirate is class VI covering 65% of the study area. The dominant land capability class in Hatta is class VIII. Thus, the soil has major limitations of climate and soil which can be improved by adopting various soil conservation measures like sand dune levelling and stabilization, shelter belts and afforestation.

CEReS, Chiba University eBooks, 1999

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Jun 24, 2016

Abu Dhabi Government endorsed vision for its Maritime Strategy 'A safe, secure and sustainable ma... more Abu Dhabi Government endorsed vision for its Maritime Strategy 'A safe, secure and sustainable maritime domain for Abu Dhabi'. This research study share this vision using the concept of monitoring as tool for marine protection against any possible oil pollution. The best technology to detect and monitor oil pollution and in particularly oil spill is SAR imagery In this case study we chose KOMPSAT-5 SAR. KOMPSAT-5 carries X-band SAR for earth observation, and is capable of day-and-night imaging under all weather condition. It provides three operation modes: High Resolution Mode to provide 1 m resolution, Standard Mode to provide 3 m resolution and Wide Swath Mode to provide 20 m resolution with 100 km swath at 550 km altitude, with four modes of polarization. KOMPSAT-5 provides products for various applications; security and defense, mapping, and natural resource management, environmental monitoring, disaster monitoring and more. For our case study we chose to work with Wide Swath mode (WS) with Vertical polarization (VV) to cover a wide area of interest located to the north west of Abu Dhabi including some important islands like "Zirku Island", and areas with oil production activities.

学術講演会論文集 = Proceedings of the ... Japanese Conference on Remote Sensing, May 1, 1999

the arab world geographer, Feb 24, 2011

This paper evaluates the analysis of spectral information using RADARSAT, SPOT Panchromatic, and ... more This paper evaluates the analysis of spectral information using RADARSAT, SPOT Panchromatic, and Landsat-TM images for land use/land cover classification in a tropical area. The case study is of Bogor, located in West Java, Indonesia. In order to increase spectral contrast of the Landsat-TM image, two procedures for information compression, colour composite and PCA (Principal Component Analysis) were tested. The best five RGB colour composites were produced, which were visually and statistically investigated, including the RGB colour composites of PC-1, PC-2, and PC-3, which were created from standard and selective principal component analysis (PCA), respectively. To merge images, two spectral-based image fusion techniques were applied: IHS (Intensity, Hue, and Saturation) and Brovey transforms. A land use/land cover classification using IHS transform from the RGB colour composites of PC-1, PC-2, and PC-3, where the intensity was replaced by SPOT Panchromatic, was the best result. It has an overall accura...

Middle East region can be divided into two simple zones, the northern mountain belt, comprising t... more Middle East region can be divided into two simple zones, the northern mountain belt, comprising the states of Turkey, Iran and northern part of Iraq. The second zone formed by plains and dissected plateaus. Middle East region is a region with the highest rate of population growth in the world, from 102 millions on 1960 to 318 millions on 2000, with annual growth about 3%. It is facing environmental problems of land degradation and desertification. Whereas the most of Arabian Peninsula is free of perennial vegetation. For most areas shifting sand dunes are incapable of sustaining plants life. Most of marginal lands in Middle East are permanent pastures of 1.35 millions sq. km, and 85% of them are considered in danger to desertification. These marginal lands are subject to human activities and susceptible to inappropriate land use practices, such as overgrazing, fuel cutting and inadequate cultivation. The study concerned with the utilization of Remote Sensing and Geographic Informati...

This study demonstrated how interpretation of RADARSAT images improved our understanding of earth... more This study demonstrated how interpretation of RADARSAT images improved our understanding of earth's surface and performed the analysis signal/terrain interaction, which results in terms of textures and other's characters of RADARSAT imagery. Focusing was placed on visual interpretation of RADARSAT images in order to make a good distinguishes between different tones, textures shapes, patterns and signatures. The next step was the establishment of charts for tones and textures, which were employed together with the signature characteristics of RADARSAT images to develop an "interpretation key" for agricultural land use purposes. We applied supervised classifications on Landsat TM images and on Landsat TM images integrated with RADARSAT images. Then comparisons of tones, textures and patterns were done between the two kinds of images. We found that characteristics of RADARSAT images such as tone, texture signature and pattern are very important elements for visual int...

Developments in Earth and Environmental Sciences, 2005

ABSTRACT The capability of satellite remote sensing to provide synoptic, repetitive and multispec... more ABSTRACT The capability of satellite remote sensing to provide synoptic, repetitive and multispectral data has proved to be very useful in inventory and monitoring of coastal features, such as tidal wet-lands, potential aquaculture sites, mangroves, estuary-dynamics/shoreline-changes, and off-shore aspects like suspended sediment dynamics and coastal currents, near-shore bathymetry, internal waves, etc. The Indian Remote Sensing Satellite data IRS 1C 1D and IRS-P4 (Oceansat) have been found to be useful in study of the above coastal features. It also has potential towards marine applications by providing chlorophyll/primary productivity estimate and extent and spread of oil slicks. Significant results of these applications and studies are outlined in this chapter. Thematic maps of coral reefs are being prepared using IRS 1C LISS data for the Gulf of Kach. Change detection results are being produced using IRS 1D to show the changes on the Earth's surface before and after Gujarat earthquake, while IRS-P4 OCM data are used to detect the pre- and post-distribution of chlorophyll concentrations and suspended solids concentrations.

Remote Sensing for Environmental Monitoring, GIS Applications, and Geology II, 2003

ABSTRACT Remote Sensing provides a diversity of data from the superficial environmental, which ca... more ABSTRACT Remote Sensing provides a diversity of data from the superficial environmental, which can be manipulated and analyzed by Geographic Information Systems (GIS) to extract information relevant to the understanding of environmental hazards. This applies especially to the study of desert conditions, desertification monitoring, assessment and mapping. This contribution utilizes remote sensing data and techniques to evaluate the biological and physical parameters related to land degradation and desertification, such as water, vegetation, geomorphology, drainage system, soil moisture, etc. Multi-temporal analysis of Landsat TM images is used to monitor the effects on vegetation of the increase in areas of irrigation during the period of 1983-1997. The analysis clearly demonstrates a net decrease in vegetation cover. This situation exemplifies the deterioration of the natural vegetation cover. A Geographic Information System was used to combine and interpret a range of parameters (land use, soil type, topography, climate, etc.). A result of this GIS analysis is the provision of maps showing water erosion, wind erosion, vegetation degradation and salinization. A final stage of this research was the construction of a

Many satellite-borne image data have been acquired in the Arabian Gulf since the mid 80's by... more Many satellite-borne image data have been acquired in the Arabian Gulf since the mid 80's by different space agencies and have demonstrated oil spill related features at sea. Severe oil spills were caused occasionally by accidental or deliberate oil sludge dumping from passing ships. Serious damage to fishery, water desalination plants and natural habitats are concerned. The work done is the first step towards oil spill monitoring of the offshore UAE and its adjacent waters. The interim results of this study demonstrate and confirm that the offshore UAE faces frequent occurrences of oil spills both in the Arabian Gulf and in the Gulf of Oman. Offshore Fujairah shows considerable spill concentration in multi-temporal image analysis. Ballast water containing residual oil is discharged from oil tankers there and is identified as the source of those spills. Discriminating oil spills is an important step for planning intense monitoring scheme based on space-borne imagery, which is a...

Oil Pollution and its Environmental Impact in the Arabian Gulf Region, 2005

Oil spill pollution is a serious threat to marine environments along the UAE coast line. Consider... more Oil spill pollution is a serious threat to marine environments along the UAE coast line. Considerable oil spills have been caused by accidental and deliberate oil sludge dumping from passing ships during the past. Damage to fishery, seawater desalination, and damage to plants and ...

Developments in Soil Classification, Land Use Planning and Policy Implications, 2013

ABSTRACT The soils of Dubai were mapped using remote-sensing satellite data (IRS-P6 LISS-IV) at 1... more ABSTRACT The soils of Dubai were mapped using remote-sensing satellite data (IRS-P6 LISS-IV) at 1:25,000 scale and classified to soil series level and their associations as per the USDA-NRCS Keys to Soil Taxonomy. A total of 26 soil series have been identified in Dubai Emirate, of which 13 were identified in Hatta area. The soils in general are coarse textured, sandy, highly calcareous and least developed. In the coastal and low-lying areas and depressions, the soils are highly saline; in the inland, soils are either saline or sodic. The Hatta area is characterized by mountains with steep side slopes, which are devoid of vegetation. Almost all the hills are barren (80–90%) and rocky without any soil cover. The soils in the hilly area are shallow to very shallow, skeletal in nature and highly calcareous. The soils have been assessed for land capability classes, and 17% of the total study area falls under land capability class IV, with the major limitations of climate and soil characteristics. These soils are suitable for marginal agriculture with the condition that sufficient water is available to offset water requirements of crops. The dominant land capability class identified in Dubai Emirate is class VI covering 65% of the study area. The dominant land capability class in Hatta is class VIII. Thus, the soil has major limitations of climate and soil which can be improved by adopting various soil conservation measures like sand dune levelling and stabilization, shelter belts and afforestation.

the arab world geographer, 2011

The objective of this study is to produce a land cover classification dataset for the whole of As... more The objective of this study is to produce a land cover classification dataset for the whole of Asia using a NOAA AVHRR 1-km dataset. Ground truth data were mainly collected from existing thematic maps, which were obtained from members of the Land Cover Working Group (LCWG) of the Asian Association on Remote Sensing (AARS). Classification was mainly based on cluster analysis of the monthly ratio of surface temperature to Normalized Difference Vegetation Index (NDVI) for seven months from April to October 1992. Additional variables, such as DEM, the maximum monthly composite NDVI in a year, and the minimum monthly composite NDVI in a year were also used in the classification processing. A CD-ROM including the land cover classification dataset has been published.