Wszystkie pola: remote sensing method - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: Transformation of agricultural lands
Autorzy:: Perovych, I.
Kereush, D.
Powiązania:: https://bibliotekanauki.pl/articles/100595.pdf
Data publikacji:: 2015
Wydawca:: Uniwersytet Rolniczy im. Hugona Kołłątaja w Krakowie
Tematy:: transformation of land
simplex method
GIS technologies
remote sensing
GIS
technologia GIS
teledetekcja
przekształcanie gruntów
Opis:: One of the methods of land transformation is linear programming method, which is called the simplex method. Its application allows us quickly and efficiently to build a model of optimal use of land resources and helps to find such combination of the lands, that allows us to obtain the maximum yield in money equivalent with given resources. The application of methods of remote sensing (RS) as spatial information to solve the problems of land management, including land transformation, becomes the most optimal in modern conditions.
Źródło:: Geomatics, Landmanagement and Landscape; 2015, 1; 45-54
2300-1496
Pojawia się w:: Geomatics, Landmanagement and Landscape
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 2.

Tytuł:: Assessment of soil erosion using the GIS-based erosion potential method in the Kebir Rhumel Watershed, Northeast Algeria
Autorzy:: Zeghmar, Amer
Marouf, Nadir
Mokhtari, Elhadj
Powiązania:: https://bibliotekanauki.pl/articles/2073737.pdf
Data publikacji:: 2022
Wydawca:: Instytut Technologiczno-Przyrodniczy
Tematy:: Erosion Potential Method
EPM
Geographic Information System
GIS
Kebir-Rhumel
remote sensing
soil erosion
water erosion
Opis:: Soil erosion is an important factor that should be considered when planning renewable natural resource projects, effects of which can be measured by modelling techniques. Therefore, disintegration models determine soil loss intensity and support soil conservation practices. This study estimates soil loss rates by water erosion using the Erosion Potential Method (EPM) in the Kebir Rhumel Watershed located in Northeast Algeria. The area is north to south sub-humid to semi-arid, receives irregular rainfall, and has steep slopes and low vegetation cover which makes it very vulnerable to erosion. The main factors in the EPM (soil erodibility, soil protection, slope, temperature, and rainfall) were evaluated using the Geographical Information System (GIS) and data provided by remote sensing technologies. The erosion intensity coefficient Z was 0.60, which indicates medium erosion intensity. While the results showed the average annual soil erosion of 17.92 Mg∙ha-1∙y -1, maximum and minimum losses are 190.50 Mg∙ha-1∙y-1 and 0.21 Mg∙ha-1∙y-1, respectively. The EPM model shows satisfactory results compared to some studies done in the basin, where the obtained results can be used for more appropriate management of land and water resources, sustainable planning, and environmental protection.
Źródło:: Journal of Water and Land Development; 2022, 52; 133--144
1429-7426
2083-4535
Pojawia się w:: Journal of Water and Land Development
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 3.

Tytuł:: Soil erosion susceptibility mapping of Imo River Basin using modified geomorphometric prioritisation method
Autorzy:: Nwilo, Peter C.
Ogbeta, Caleb O.
Daramola, Olagoke E.
Okolie, Chukwuma J.
OrJi, Michael J.
Powiązania:: https://bibliotekanauki.pl/articles/2054950.pdf
Data publikacji:: 2021-09-01
Wydawca:: Uniwersytet im. Adama Mickiewicza w Poznaniu
Tematy:: morphometry
weighted sum analysis
soil erosion susceptibility
SRTM
remote sensing
GIS
Imo River Basin
Opis:: Gullies and other forms of erosion have been the greatest environmental problem and catastrophe in most high- and low-income countries. The challenge posed by soil erosion has compromised agricultural productivity, en-vironmental biodiversity and food safety for the world’s population. It is important to identify vulnerable areas to soil erosion in each region to initiate remedial measures. This study demonstrates the use of watershed morphometry coupled with weighted sum analysis (WSA) to estimate the soil erosion susceptibility of the Imo River Basin sub-wa-tersheds (SWs) in South-Eastern Nigeria using satellite remote-sensing data and geographic information system (GIS) analysis. To this end, Shuttle Radar Topography Mission (SRTM), a Digital Elevation Model (DEM) with 30 m spatial resolution was used to extract and analyse 18 morphometric parameters including basic, linear, shape and relief. The method of receiver operating characteristics (ROC) curves was used to validate the model’s prediction accuracy. This morphometry-based analysis resulted in the SWs being classified into zones of low, medium, high and very high erosion susceptibility. With regard to erosion susceptibility, 41.51% of the basin (2494.68 km2) is in the very high pri-ority zone; while 10.50%, 44.33% and 3.66% of the basin are in the high, medium and low priority zones respectively. Validation of the final erosion susceptibility map showed a prediction accuracy of 81%. The use of satellite imagery and morphometric analysis in this study was cost- and time-effective for identifying areas susceptible to soil erosion.
Źródło:: Quaestiones Geographicae; 2021, 40, 3; 143-162
0137-477X
2081-6383
Pojawia się w:: Quaestiones Geographicae
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 4.

Tytuł:: Identification of Groundwater Potential Zones (GWPZ) Using Geospatial Techniques and AHP Method: a Case Study of the Boudinar Basin, Rif Belt (Morocco)
Autorzy:: Taher, Morad
Mourabit, Touafik
Etebaai, Issam
Dekkaki, Hinde Cherkaoui
Amarjouf, Najat
Amine, Afaf
Abdelhak, Bourjila
Errahmouni, Ali
Azzouzi, Sadik
Powiązania:: https://bibliotekanauki.pl/articles/2203959.pdf
Data publikacji:: 2023
Wydawca:: Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH
Tematy:: GIS
remote sensing
Rif belt
sustainable development
water scarcity
Opis:: The present study aims to delineate the groundwater potential zones (GWPZ) in the Boudinar Basin using geospatial techniques and through an analytical hierarchal process (AHP) method. For multi criteria decision analysis, fifteen thematic layers were integrated into a geographic information system (GIS) environment. In this analysis, each thematic layer is calculated for normalized weights. Furthermore, the consistency index and consistency ratio were calculated to ensure that the result was significant and reliable. The GWPZ map has been categorized into three classes: poor (50.82%), moderate (49.06%), and good (<1.00%). To compare the result, we used four other scenarios of the GWPZ. Two of them are the most similar to our result. Finally, predictive groundwater production and management strategies that ensure long-term sustainability are highly needed.
Źródło:: Geomatics and Environmental Engineering; 2023, 17, 3; 83--105
1898-1135
Pojawia się w:: Geomatics and Environmental Engineering
Dostawca treści:: Biblioteka Nauki

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