The 5th category super-cyclone Sidr disrupts the world's largest mangrove forest Sundarbans on No... more The 5th category super-cyclone Sidr disrupts the world's largest mangrove forest Sundarbans on November 15, 2007. It seriously shatters about 1900 km2 that 31% of the total area of the Sundarbans. That makes a great threat to the mangrove ecosystem and biodiversity, which convey to forest vulnerability monitoring of Sundarbans. This research emphasizes on mangrove forest monitoring with vulnerability assessment using Landsat-5 and Landsat-8 remote sensing data based on geo-statistical hot spot (𝐺∗𝑖) model, normalized difference vegetation index (NDVI) and forest discrimination index (FDI). However, the analysis works with statistical algorithm Gi(d) and G(d) in terms of geo-statistical nearest neighborhood spatial autocorrelation analysis. Hot spot (𝐺∗𝑖) model used to explore the hot and cold confidence zone, which provided the mangrove vulnerability confidence level. The simulated, ~ 14.1% extreme safe zone is increased from 2001 to 2015 and extremely vulnerable zone also increased 4.1% at the same time, although 4.3% stable zone also decreased in that time. Even, high-density mangrove area was decreased in 2009, and the low-density mangrove area increased due to cyclone Sidr. In addition, FDI denotes the mangrove density, and NDVI provides vegetation health condition and represents the mangrove variability scenario with geospatial location those signify to detect the threatening condition of mangrove population and density. Furthermore, this study’s methods and results will provide the base for further long-term studies on this world’s largest mangrove forest and would have an implication for the mangrove monitoring and disaster risk reduction strategies.
Journal of Wetlands Environmental Management, Jul 1, 2017
Bangladesh is the largest delta in the world. Geographical location and seasonal diversity have m... more Bangladesh is the largest delta in the world. Geographical location and seasonal diversity have made this country unique. Tanguar Haor as a Ramsar site is famous throughout the world with a reservoir of aquatic biodiversity. Due to availability of water flow throughout the year it has reached biodiversity compared to other haors in Bangladesh. In every winter, this haor becomes sonorous with the presence of thousands of migratory and resident birds. A lot of aquatic plants are floating and some are submerged. These aquatic plants decompose with seasonal shift and make the soil fertile. Numerous organisms with food and shelter are provided by these aquatic plants. Various species of amphibians and reptiles can also be seen in this vast haor. It has merged with the life and tradition of local people. Also human habitation has increased around the haor since the middle of the last century. About 12,870 ha water body has lost from 23,230 ha during last 60 years. Per year, 1.17% of water body has been lost in Tanguar Haor from 1955 to 2015. As a result, population of birds and wildlife is decreasing alarmingly due to the disturbance in the natural balance of the wetland ecosystem.
Industries have been increased due to urbanization and global development consideration. The indu... more Industries have been increased due to urbanization and global development consideration. The industries have been increasing the economic development with environmental degradation. The Industry produce waste matter these are added with pollutant substances such as, Total Dissolved Solids (TDS), Lead (Pb), Cadmium (Cd), Chromium (Cr) and Copper (Cu). These substances consist with water body and decrease a result the Dissolved Oxygen (DO), Biological Oxygen Demand (BOD) and Chemical Oxygen Demand (COD) have decreased. The wetlands of Nayarhat sub-industrial area of Dhaka are fully polluted by industrial pollution. The level of pollution is not sustainable for any aquatic fauna. During the monsoon period the pollution level is less but this period the water are not capable for sustain of aquatic fauna. As a result the aquatic fauna which comes from upstream water these cannot alive due to pollutant substance. In the pre monsoon and dry season this area are free from aquatic fauna.
Remote sensing images are representation of the earth's surface as seen from space without any ph... more Remote sensing images are representation of the earth's surface as seen from space without any physical contact. It generally detects the surface feature through reflectance of matter and represents various Digital Number (DN) values. In the context of water it also represent DN values according to reflectance of water properties, whatever it can detect from the space. Landsat Operational Land Image (OLI) is more effective to detect the surface features. It has been used to detect water body. The surface water quality is not same all over the surface so the energy absorption and relaxation is not the same. The DN value of surface water is changed due to the change of chemical properties of water. It will be a fundamental study to explore the relationship between DN value and water quality. This research explores a complete integration of DN values of Landsat OLI satellite image with same surface water quality, which are collected from several points. The chemical properties of collected surface water, which are analyzed through lab and is integrated with DN value of the Landsat OLI satellite images. The variations among the chemical properties of collected surface water and the DN values of the exact Landsat OLI images are categorized within an index. The correlations between surface water quality and DN values of Landsat OLI are investigated in this research.
The 5th category super-cyclone Sidr disrupts the world's largest mangrove forest Sundarbans on No... more The 5th category super-cyclone Sidr disrupts the world's largest mangrove forest Sundarbans on November 15, 2007. It seriously shatters about 1900 km2 that 31% of the total area of the Sundarbans. That makes a great threat to the mangrove ecosystem and biodiversity, which convey to forest vulnerability monitoring of Sundarbans. This research emphasizes on mangrove forest monitoring with vulnerability assessment using Landsat-5 and Landsat-8 remote sensing data based on geo-statistical hot spot (𝐺∗𝑖) model, normalized difference vegetation index (NDVI) and forest discrimination index (FDI). However, the analysis works with statistical algorithm Gi(d) and G(d) in terms of geo-statistical nearest neighborhood spatial autocorrelation analysis. Hot spot (𝐺∗𝑖) model used to explore the hot and cold confidence zone, which provided the mangrove vulnerability confidence level. The simulated, ~ 14.1% extreme safe zone is increased from 2001 to 2015 and extremely vulnerable zone also increased 4.1% at the same time, although 4.3% stable zone also decreased in that time. Even, high-density mangrove area was decreased in 2009, and the low-density mangrove area increased due to cyclone Sidr. In addition, FDI denotes the mangrove density, and NDVI provides vegetation health condition and represents the mangrove variability scenario with geospatial location those signify to detect the threatening condition of mangrove population and density. Furthermore, this study’s methods and results will provide the base for further long-term studies on this world’s largest mangrove forest and would have an implication for the mangrove monitoring and disaster risk reduction strategies.
Journal of Wetlands Environmental Management, Jul 1, 2017
Bangladesh is the largest delta in the world. Geographical location and seasonal diversity have m... more Bangladesh is the largest delta in the world. Geographical location and seasonal diversity have made this country unique. Tanguar Haor as a Ramsar site is famous throughout the world with a reservoir of aquatic biodiversity. Due to availability of water flow throughout the year it has reached biodiversity compared to other haors in Bangladesh. In every winter, this haor becomes sonorous with the presence of thousands of migratory and resident birds. A lot of aquatic plants are floating and some are submerged. These aquatic plants decompose with seasonal shift and make the soil fertile. Numerous organisms with food and shelter are provided by these aquatic plants. Various species of amphibians and reptiles can also be seen in this vast haor. It has merged with the life and tradition of local people. Also human habitation has increased around the haor since the middle of the last century. About 12,870 ha water body has lost from 23,230 ha during last 60 years. Per year, 1.17% of water body has been lost in Tanguar Haor from 1955 to 2015. As a result, population of birds and wildlife is decreasing alarmingly due to the disturbance in the natural balance of the wetland ecosystem.
Industries have been increased due to urbanization and global development consideration. The indu... more Industries have been increased due to urbanization and global development consideration. The industries have been increasing the economic development with environmental degradation. The Industry produce waste matter these are added with pollutant substances such as, Total Dissolved Solids (TDS), Lead (Pb), Cadmium (Cd), Chromium (Cr) and Copper (Cu). These substances consist with water body and decrease a result the Dissolved Oxygen (DO), Biological Oxygen Demand (BOD) and Chemical Oxygen Demand (COD) have decreased. The wetlands of Nayarhat sub-industrial area of Dhaka are fully polluted by industrial pollution. The level of pollution is not sustainable for any aquatic fauna. During the monsoon period the pollution level is less but this period the water are not capable for sustain of aquatic fauna. As a result the aquatic fauna which comes from upstream water these cannot alive due to pollutant substance. In the pre monsoon and dry season this area are free from aquatic fauna.
Remote sensing images are representation of the earth's surface as seen from space without any ph... more Remote sensing images are representation of the earth's surface as seen from space without any physical contact. It generally detects the surface feature through reflectance of matter and represents various Digital Number (DN) values. In the context of water it also represent DN values according to reflectance of water properties, whatever it can detect from the space. Landsat Operational Land Image (OLI) is more effective to detect the surface features. It has been used to detect water body. The surface water quality is not same all over the surface so the energy absorption and relaxation is not the same. The DN value of surface water is changed due to the change of chemical properties of water. It will be a fundamental study to explore the relationship between DN value and water quality. This research explores a complete integration of DN values of Landsat OLI satellite image with same surface water quality, which are collected from several points. The chemical properties of collected surface water, which are analyzed through lab and is integrated with DN value of the Landsat OLI satellite images. The variations among the chemical properties of collected surface water and the DN values of the exact Landsat OLI images are categorized within an index. The correlations between surface water quality and DN values of Landsat OLI are investigated in this research.
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Papers by Nur Hussain
https://link.springer.com/article/10.1007/s40808-0 by Nur Hussain