International Journal of Remote Sensing Applications
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Open Access journal
ISSN (Print) 2226-4361 - ISSN (Online) 2226-4353
Published by Science and Engineering Publishing Company [49 journals]
- Geomorphometric Analysis for Estimation of Sediment Production Rate and
Run-off in Tuirini Watershed, Mizoram, India
Abstract: Geomorphometric Analysis for Estimation of Sediment Production Rate and Run-off in Tuirini Watershed, Mizoram, India
Author Fuzal AhmedK. Srinivasa Ra
In hilly areas like Mizoram, sediment production rate and run-off estimation for land parcels is of utmost importance to the efforts of soil and water conservation work. The study demonstrated the use of remotely sensed data in conjugation with GIS for the sustainable development of watershed. The terrain is prone to erosion due to steeper slopes associated with high relief and drainage density. The different geomorphometric parameters of the study area have been computed with the aid of ArcGIS-10.2 software. SPR and run-off rate of the watershed was estimated on the basis of morphometric parameters. The Tuirini watershed is designated as 6th order stream comprises an area of about 420 sq.km. The mean bifurcation ratio indicates strong structural control over the drainage development. The values of drainage density and texture ratio indicate that the area is composed of impermeable rocks associated with very fine drainage texture. The analysis of shape and relief parameters shows that watershed is having elongated shape and structurally complex with high relief. The estimated value of SPR and run-off rate suggests that the watershed produces moderate amount of sediments annually with high discharge of runoff due to high relief with steeper slopes.
- A Discussion on the Applicable Condition of Rayleigh Scattering
Abstract: A Discussion on the Applicable Condition of Rayleigh Scattering
Author Nan LiYiqing ZhuZhenhui Wan
Based on the mechanism of particle scattering, rain detection radars are able to receive the backscattering and thus can detect the precipitation particles. For radars with different wavelength, scattering from precipitation particles may be approximated with different kinds of scattering theory, i.e. Mie scattering and Rayleigh scattering. When Mie scattering is used, the computation of the physical quantity that characterizes backscattering of the particle is completed, and the computation is much simpler when Rayleigh scattering is used. In traditional methods, a fixed threshold of the particle scale parameter is used as the criterion to discriminate Rayleigh scattering, that is, the particle size should be smaller than the wavelength of electromagnetic wave. In this work, the analysis on raindrop scattering against radars with different wavelength are discussed. It is concluded that the backscattering cross-section ratio of Mie scattering to Rayleigh scattering is more reasonable than the particle scale parameter for the measure of the criterion to discriminate Rayleigh scattering. Moreover, a small particle compared with the wavelength is a sufficient but not necessary condition for Rayleigh scattering.
- Mapping Khat (Miraa) by Remote Sensing in Meru County, Kenya
Abstract: Mapping Khat (Miraa) by Remote Sensing in Meru County, Kenya
Author Sabina BaariuGalcano Mulak
Khat or miraa is a plant indigenous to Eastern Africa and the Arabian Peninsula, whose leaves and stems are consumed privately and socially as a stimulant; it is highly valued by its cultivators for the high incomes it brings them. However, studies by the World Health Organization, amongst others, have found that miraa is a mild addictive drug whose continued heavy consumption can result in adverse physical and mental health effects, and therefore whose production and marketing should be discouraged. Few, if any, studies have been done to accurately quantify miraa production in areas where it grows, yet this is an important statistic for informed decision making on the crop. This paper describes a study that has mapped, using remote sensing and GIS techniques, the miraa plantations of the Igembe region of Meru County in Kenya, which is a major source of khat globally. Supervised classification of Landsat 8 imagery was carried out, with overall classification accuracy and kappa statistic of 78% and 0.72 respectively obtained. It was found that over 70,000 hectares of miraa are planted in this region, representing a regional potential per capita income of USD 2345, very high by Kenyan standards. The paper concludes that miraa is a widely grown crop of high economic significance in this region in terms of income and employment creation, and that the region’s economy would be adversely affected if the marketing of miraa were to cease.
- Land Information System Using Cadastral Techniques, Mining Area of
Raniganj, Barddhaman District, India
Abstract: Land Information System Using Cadastral Techniques, Mining Area of Raniganj, Barddhaman District, India
Author Sonjay MondalJatiSsankar BandyopadhyayDebashish Chakravatr
In creating or revising a cadastral mapping system, the assessor should make every effort to cooperate with other public and private sector entities, and thus create a true multipurpose cadastre. Such a system meets the needs of other offices in the jurisdiction, and of outside agencies and entities, and allows efficient sharing of maps and data. However, should efforts at cooperation fail, it may become necessary for the assessor to develop a single-purpose mapping system. In any case, the assessor must retain the ultimate authority to inventory, create, and define parcels and parcel identifiers. The results of the GIS for Cadastral Applications will include cadastral index maps and land registration data in a digital format. Automation linkages will be created and developed between textual data (legal land registration data) and parcel maps. The final goal is to generate digital maps which will facilitate land management and planning and, in particular, land registration and the issuance of land titles in order to promote security of land tenure and reduce land disputes.
- Urban Objects Extraction from 3D Laser Point Clouds Acquired by a Static
Laser Scanner and a Mobile Mapping System
Abstract: Urban Objects Extraction from 3D Laser Point Clouds Acquired by a Static Laser Scanner and a Mobile Mapping System
Author Mohammed BendaananeKaoutar EddahmaniImane Sebar
Terrestrial laser scanning (TLS) whether in static scanning or mobile scanning, as in the case of a mobile mapping system (MMS), generates a large amount of 3D data. These data can be used for a variety of purposes. The aim of this research study is to experiment terrestrial laser scanning, in both static and mobile mode, for the extraction of urban objects of an urban street survey. Particularly, this research aims to develop a comparative study, of the two methods, according to the conventional method (tachometry measurement). We have established a methodology in order to extract objects form 3D data collected by a static laser scanner and a mobile mapping system. The proposed methodology has been tested on two urban street sections of 300 meters length. Finally, we fixed a comparative analysis between the two laser scanning methods, within the following comparison levels: qualitative level (precision and completeness criteria), time level (operative time for acquisition and processing) and financial level (direct costs). The results show the efficiency of the mobile mapping approach especially for data acquisition. To establish an urban survey, the direct cost is 71% cheaper using a mobile mapping system and 50% cheaper using a static laser scanner, than using the conventional method.
- Seasonal and Spatial Variability of SST Using MODIS Data: the Case Study
of Aegean Sea
Abstract: Seasonal and Spatial Variability of SST Using MODIS Data: the Case Study of Aegean Sea
Author Kontsantinos TopouzelisStefani VarnavaAndreas Georgio
This paper focuses on the analysis of spatial and temporal variability of Sea Surface Temperature (SST) derived from Aqua Moderate Imaging Spectrometer (MODIS) infrared imagery in the Aegean Sea. Data were organized to examine both seasonal and monthly variation of SST during 2005 - 2008. The four year period was chosen as a first approach to address and describe this phenomenon. A descriptive statistical analysis was performed, while hot spots and SST anomalies for each month and season were identified. The results show a smooth monthly variation of SST with February to be the coldest month while July the hottest as expected. The year with the higher average SST value was 2007 with 25.1oC while 2006 presents the minimum average value. In addition, the high resolution maps of 1 km that extracted from the analysis with a wide spatial coverage, allows to the detail representation of SST in the region. This helps to produce a rich eddy field and it allows monitoring the outflow of Black Sea Waters through the Dardanelles Strait.
- High-Resolution Imaging for Impulse-Based Forward-Looking Ground
Abstract: High-Resolution Imaging for Impulse-Based Forward-Looking Ground Penetrating Radar
Author Ode OjowuLuzhou XuJian LiJohn AndersonLam Nguye
Forward-Looking Ground Penetrating Radar (FLGPR) has multiple applications, one of which includes its use for detecting landmines and other buried improvised explosive devices (IEDs). The standard method for generating synthetic aperture radar (SAR) images for this radar is the backprojection (BP) algorithm, which has poor resolution and high sidelobe problems. In this paper, we consider using the Sparse Iterative Covariance-based Estimation (SPICE) algorithm and the Spare Learning via Iterative Minimization (SLIM) algorithm for generating sparse high-resolution images for FLGPR. A pre-processing step, which involves an orthogonal projection of the received data onto a subspace related to the region of interest is performed, for decreasing the dimension of the data and for clutter reduction. The SLIM and SPICE algorithms are user-parameter free, and are capable of providing SAR images with improved resolution. We also use the well-known CLEAN approach for imaging based on a proposed signal model in the time domain. We show using simulated data that the SPICE and SLIM algorithms provide higher resolution than CLEAN and the standard BP. Imaging using real data collected via the Synchronous Impulse Reconstruction (SIRE) radar, a multiple-input multiple-output (MIMO) FLGPR radar developed by the Army Research Laboratory (ARL), is also presented and used for analysis.
- Morphodynamic Change of Fraserganj and Bakkhali Coastal Stretch of Indian
Sundarban, South 24 Parganas, West Bengal, India
Abstract: Morphodynamic Change of Fraserganj and Bakkhali Coastal Stretch of Indian Sundarban, South 24 Parganas, West Bengal, India
Author Ismail MondalJatisankar BandyopadhyayParthasarathi ChakrabartiDebasish Santr
The Bengal plain is characterized by the presence of an extensive coastal tract bordered by the Bay of Bengal in the south. Two contrasting coastal environments are prevailing in the area, namely; the macro tidal Hooghly estuary in the east; and the mesotidal Midnapore Coastal plain to the west. A morphogenetic study based on the terrain mapping unit (TMU) concept reveals the form- process-material interactions of these two contrasting coastal environments with a possible geo-history model of the coastal Quaternaries. It has been established that the entire process-response system of the coastal tract of the Bengal plain started operating after the rise of sea level around 6000yrs B.P. (i.e., optimum of flandrian transgression) and the Hooghly estuary, the mangrove vegetation plays a significant role as the dominant geomorphic agent in the evolution of the tidal shoals and their eventual accretion to the main landmass resulting in delta progradation. In the present-day scenario, the Hooghly estuary becomes the abandoned part of the Ganga-Brahmaputra delta in India, and is also turning destructive and forming erosional regime in the mesotidal Midnapore coastal area.