scholarly journals Floodplain mapping and risks assessment of the Orashi River using Remote Sensing and GIS in the Niger Delta Region, Nigeria.

2021 ◽  
Vol 4 (2) ◽  
Author(s):  
Eteh Desmond Rowland ◽  
Okechukwu Okpobiri

Residents along the shoreline of the Orashi River have yearly been displaced and recorded loss of lives, farmland, and infrastructures. The Government’s approach has been the provision of relief materials to the victims instead of implementing adequate control measures. This research employs Shuttle Radar Topographic Mission and Google Earth imagery in developing a 3D floodplain map in ArcGIS 10.4. The result indicates the drainage system in the study area is observe to be dendritic with catchment of 79 subbasin with 76 pour point indicating the area is floodplain including 3D slope > 8 contain 1.15% and < 8 has 98.85% indicating floodplain area, aspect indicate west-facing slope are dark blue,3D hillshade indicate yellow is very low area and high area is pink and also the buffer analysis result reveals waterbodies reflecting blue with estimated area of 1.88 km2, yellow indicate 0.79 km2 of the shoreline, red indicate 0.81 km2 of the minor floodplain and pink contain 0.82 km2 with length of 32.82km. The result from google earth image in 2007 indicate absent of settlement ,2013 indicate minimal settlement and 2020 indicate major settlement in the study area when correlated with 3D Floodplain mapping before and during the flood in other to analyze and manage flooding for further purpose and majority of the area are under seize with flood like in 2020. Therefore, Remote Sensing and GIS techniques is useful for Floodplain mapping, risk analysis for control measures for better flood management.

2020 ◽  
Vol 21 (5) ◽  
Author(s):  
HALVINA GRASELA SAIYA ◽  
Adriana Hiariej ◽  
ANNEKE PESIK ◽  
ELIZABETH KAYA ◽  
MEITTY LOUISE HEHANUSSA ◽  
...  

Abstract. Saiya HG, Hiariej A, Pesik A, Kaya E, Hehanussa ML, Puturuhu F. 2020. Dispersion of tongka langit banana in Buru and Seram, Maluku Province, Indonesia, based on topographic and climate factors. Biodiversitas 21: 2035-2046. The aim of this research is to understand the dispersion of tongka langit banana as one of the important endemic species in Maluku and also to know the topographic and climate factors hypothetically influencing the dispersion of tongka langit banana. The associated environmental factors are an initial approach that can be used to assess why the species only exists in certain locations. The data of coordinates were collected from survey activity; meanwhile, the slope and contour data were from the Shuttle Radar Topographic Mission (SRTM); and the climate data were from Meteorology, Climatology, and Geophysical Agency through statistic data publication. Then, all data were analyzed using Remote Sensing and GIS methods. The results showed that in Buru Island, tongka langit bananas were found in four locations, with climate condition was rather wet and found on slope grade of 0-8% and 8-15%. Whereas in Seram Island, tongka langit bananas were found in fifteen locations, with wet climate conditions, and on the same condition of slope as those found in Buru island.


2021 ◽  
Author(s):  
Ali K. M. Al-Nasrawi ◽  
Ignacio Fuentes ◽  
Dhahi Al-Shammari

Abstract Early civilizations have inhabited stable-water-resourced areas that supported living needs and activities, including agriculture. The Mesopotamian marshes, recognised as the most ancient human-inhabited area (~6000 years ago) and refuge of rich biodiversity, have experienced dramatic changes during the past five decades, starting to fail in providing adequate environmental functioning and support of social communities as they used to for thousands of years. The aim of this study is to observe, analyse and report the extent of changes in these marshes from 1972 to 2020. Data from various remote sensing sources were acquired through Google Earth Engine (GEE) including climate variables, land cover, surface reflectance, and surface water occurrence collections. Results show a clear wetlands dynamism over time and a significant loss in marshlands extent, even though no significant long-term change was observed in lumped rainfall from 1982, and even during periods where no meteorological drought had been recorded. Human interventions have disturbed the ecosystems, which is evident when studying water occurrence changes. These show that the diversion of rivers and the building of a new drainage system caused the migration and spatiotemporal changes of marshlands. Nonetheless, restoration plans (after 2003) and strong wet conditions (period 2018 - 2020) have helped to recover the ecosystems, these have not led the marshlands to regain their former extent. Further studies should pay more attention to the drainage network within the study area as well as the neighboring regions and their impact on the streamflow that feeds the study area.


2019 ◽  
Vol 5 (11) ◽  
pp. 2515-2524 ◽  
Author(s):  
Myint Myat Oo ◽  
Cho Cho Thin Kyi ◽  
Win Win Zin

Currently the Ministry of Construction is responsible for planning and construction of bridges across the country but remote sensing and satellite data are not widely used in the Ministry’s routine process. Although the inspection and monitoring are carried out by the conventional methods, the remote sensing and GIS techniques are available as an alternative way with time and cost saving. From this study, the channel migration in the locations of Ayeyarwady bridges will be analyzed and mapped by identifying temporal changes of channels. Google Earth Engine is used as the primary application in this study and surface water extraction from historical Landsat satellite imagery is done by GEE. River centerline processing and erosion-deposition area identifications are carried out by GIS technique. Study period of each bridge is between 1987 and 2017. Bo Myat Tun Bridge and Ayeyarwady Bridge (Pakokku) are toped in the list with highest migration and erosion-deposition rate according to the study. The goal of this study is to assist the bridge inspections and channel monitoring works by means of remote sensing and GIS techniques which are currently undertaking by Ministry of Construction with conventional techniques.


Author(s):  
Guru Chythanya Guptha ◽  
Sabyasachi Swain ◽  
Nadhir Al-Ansari ◽  
Ajay Kumar Taloor ◽  
Deen Dayal

Jurnal Segara ◽  
2017 ◽  
Vol 13 (2) ◽  
Author(s):  
Tyas Ismi Trialfhianty ◽  
Fajrun Wahidil Muharram ◽  
Aldian Giovanno

Coastal areas provide great benefits for human lives. In many isolated islands, coastal ecosystem provides food and building materials extracted from coastal vegetation e.g. mangroves. Therefore, it is essential to ensure the sustainability of the coastal ecosystem. This study provides data and a map in supporting the coastal ecoregion management, by using remote sensing satellite imagery, GIS technology, and field observation. Remote sensing and GIS data were obtained from Google Earth and analysed by ArcGIS. The combination of both laboratory and field work were carried out to provide a broad picture of the coastal area in Jefman Island, Raja Ampat, West Papua. The result of this study showed various habitats and vegetation in the Jefman seabed area. It also demonstrates that the abundance and diversity of coral reef and reef fishes are the major community constructing the island, amounting 22% coral cover with 12 families and diversity index 1.20 – 2.52 for reef fish with fish density about 231 ind/50 m2. Furthermore, other communities such as seagrass, seaweed, and mangrove are also briefly explained, as they also play a greater role in supporting the whole coastal ecological system. Based on map data analysis, we found a particular area that urgently needs to be protected. Remote sensing and GIS technology were found useful to help the manager to design coastal management strategies in the future.   


2017 ◽  
Vol 12 (2) ◽  
pp. 436-444
Author(s):  
S.D. Vikhe ◽  
K.A. Patil

Geographical information system proves efficient tool in delineation of watersheds and its planning. Land use planning through Land capability is the basis of watershed management programme. Land use planning for conservation measures of Basin using Remote Sensing and GIS Approach for Sukhana Basin of Aurangabad District, Maharashtra state has been carried out. Study area is located between 75.33°, 75.76° E longitudes, and 19.66°, 19.98° N latitudes. Class suitable for cultivation are II, III and IV have areal extent 134.41, 150.12 and 165.80 sq.Km. which is 67.32% of the total basin area and class VI and VII are not suitable for cultivation has areal extent 101.68 respectively which is 32.68% of the total area. Based on land capability classification, land use planning with reference to conservation planning for Class II,III,IV are gully control measures, farm bunding such as compartment bunding, contour bunding and graded bunding. Whereas, for class VI measures are continuous contour trenches and staggered trenching and for class VII treatment propose a pasture development.


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