Evaluation of Watershed Parameters Using RS and GIS

Giridhar, M. V. S. S.; Viswanadh, G. K.

doi:10.1061/40988(323)124

Cited by 3 publications

(2 citation statements)

References 1 publication

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“…Density analysis calculates where features are concentrated and produce a raster map [31]. Surface analysis generated contour, slope, aspect, hill shade, visibility maps, for example, based on the 3D data [35].…”

Section: Discussionmentioning

confidence: 99%

Nominal Land Valuation with Best-Worst Method Using Geographic Information System: A Case of Atakum, Samsun

Ayalke

Sisman

2022

IJGI

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Land valuation can be used in various areas, such as taxation, property acquisition, rental, expropriation, urban regeneration, and land readjustment. As a result, determining the value of land accurately by considering multiple criteria to eliminate the impact of subjectivity on the value of land is important. Nominal valuation is a statistical method for determining land values based on multiple criteria. In nominal valuation, criteria can be managed, analyzed, and integrated using Geographic Information Systems (GIS). This study produced a land value map using a nominal valuation method based on multiple criteria. The main criteria and sub-criteria have been determined according to the previous studies. Criteria weights were determined using the Best-Worst Method (BWM), which is one of the Multi-Criteria Decision-Making methods. A nominal land value map of the Atakum district of Samsun was produced by integrating criteria maps using GIS and compared with a value map based on current land sales.

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Section: Discussionmentioning

confidence: 99%

Nominal Land Valuation with Best-Worst Method Using Geographic Information System: A Case of Atakum, Samsun

Ayalke

Sisman

2022

IJGI

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“…The use of GIS and remote sensing has gained much recognition as environmental resources management tools for data collation and analysis [11]. Remote sensing and GIS are known to be not only powerful, but also cost-effective tools for assessing the spatial distribution and dynamics of land cover [13]; [4]; [14];…”

Section: O P Y R I G H T © S O C I E T Y F O R S C I E N C E a N D mentioning

confidence: 99%

Study of High Spot Lands in Irrigated Scheme Using Remote Sensing Data and GIS

Ali

Hamid

2017

AIVP

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The study was carried out in selected sites that cover 1989.8 ha (4735.86 Feddans) in the Rahad Irrigatated Scheme, Gazera State, Sudan. The main objective was to identify the spatial distribution ofHigh Spot Lands that are created by management practices and study their physiognomies at Rahad Scheme using space technologies. Data from Landsat TM and ETM sensors with different spatial resolution (15 and 30m) and temporal resolution (1987, 2000, 2005 and 2013) was utilized to conduct land cover analysis in relation to farming patterns, irrigation system and residential areas. Satellite elevation data from STRM combined with Landsat ETM data and high resolution data from Google Earth were compiled to study the high spots and accumulated soils in relation to the topography of the study area. The GPS was used in the field investigations to delineate the study area and to identify the sites of the high spots and in locating the soil sampling sites. The results of Landsat and DEM analysis showed that a considerable amount of high spots exist within the study area and throughout the northern part of the farmland of the scheme. It was evident that the topography of the land was adequately considered during the initial irrigation system designs in 1987, but consequently little care was given to the levelling of the farming land during different tillage operations. The study concluded that data from Landsat, STRM, ASTER and high resolution data from Google Earth could be used to detect and identify fairly high spot Lands at Farm level and hence contribute to improve management.

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Delineation of Catchment Area of Kangsabati Reservoir Using Arcgis for Hydrological Applications

SHEAK¹,

Bhar²

2019

JCE

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Evaluation of Watershed Parameters Using RS and GIS

Cited by 3 publications

References 1 publication

Nominal Land Valuation with Best-Worst Method Using Geographic Information System: A Case of Atakum, Samsun

Nominal Land Valuation with Best-Worst Method Using Geographic Information System: A Case of Atakum, Samsun

Study of High Spot Lands in Irrigated Scheme Using Remote Sensing Data and GIS

Delineation of Catchment Area of Kangsabati Reservoir Using Arcgis for Hydrological Applications

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