The concept of this book, Soil Erosion Rate Calculator (SERC) is designed over the Qt Designer interface & Python language. SERC is a plugin which is installed into the geospatial software package Quantum GIS (QGIS). This helps to find the soil erosion rate from the prepared raster layers. The Basic working principle of this plugin is the Universal Soil Loss Equation (USLE) introduced by Wieschmeier & Smith. This plugin calculates soil erosion rate from prepared layers of R-factor (Rainfall Erosivity), K-factor (Soil Erodibility), C-factor (Cover & Management) and LS factor (Slope Length and Steepness). This plugin is developed for the geo-processing software named QGIS. Currently QGIS doesn`t offer any customized tool for finding soil erosion rate yet. This is one of the limitations of QGIS. So, finding soil erosion is a time-consuming process. But QGIS provides a plugin called plugin builder for customization so we can develop tools for our interest. With the development of SERC we can save a lot of time from analysis procedure. So, through this book I am trying to explain how to create a new plugin & automate the annual soil erosion rate calculation of a geographical area.
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Sumith Satheendran verfügt über mehr als fünf Jahre Erfahrung auf dem Gebiet der Geoinformatik und Fernerkundung. Er arbeitet am Dr. R. Satheesh Zentrum für Fernerkundung und GIS, Indien. Er ist Mitglied auf Lebenszeit der Indischen Gesellschaft für Fernerkundung, der Indischen Gesellschaft für Geomatik, der Astronautischen Gesellschaft von Indien und des OSGeo (Open Source Geo Consortium) Indien.
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Anbieter: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Deutschland
Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The concept of this book, Soil Erosion Rate Calculator (SERC) is designed over the Qt Designer interface & Python language. SERC is a plugin which is installed into the geospatial software package Quantum GIS (QGIS). This helps to find the soil erosion rate from the prepared raster layers. The Basic working principle of this plugin is the Universal Soil Loss Equation (USLE) introduced by Wieschmeier & Smith. This plugin calculates soil erosion rate from prepared layers of R-factor (Rainfall Erosivity), K-factor (Soil Erodibility), C-factor (Cover & Management) and LS factor (Slope Length and Steepness). This plugin is developed for the geo-processing software named QGIS. Currently QGIS doesn`t offer any customized tool for finding soil erosion rate yet. This is one of the limitations of QGIS. So, finding soil erosion is a time-consuming process. But QGIS provides a plugin called plugin builder for customization so we can develop tools for our interest. With the development of SERC we can save a lot of time from analysis procedure. So, through this book I am trying to explain how to create a new plugin & automate the annual soil erosion rate calculation of a geographical area. 104 pp. Englisch. Bestandsnummer des Verkäufers 9786138284086
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Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The concept of this book, Soil Erosion Rate Calculator (SERC) is designed over the Qt Designer interface & Python language. SERC is a plugin which is installed into the geospatial software package Quantum GIS (QGIS). This helps to find the soil erosion rate from the prepared raster layers. The Basic working principle of this plugin is the Universal Soil Loss Equation (USLE) introduced by Wieschmeier & Smith. This plugin calculates soil erosion rate from prepared layers of R-factor (Rainfall Erosivity), K-factor (Soil Erodibility), C-factor (Cover & Management) and LS factor (Slope Length and Steepness). This plugin is developed for the geo-processing software named QGIS. Currently QGIS doesn`t offer any customized tool for finding soil erosion rate yet. This is one of the limitations of QGIS. So, finding soil erosion is a time-consuming process. But QGIS provides a plugin called plugin builder for customization so we can develop tools for our interest. With the development of SERC we can save a lot of time from analysis procedure. So, through this book I am trying to explain how to create a new plugin & automate the annual soil erosion rate calculation of a geographical area.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 104 pp. Englisch. Bestandsnummer des Verkäufers 9786138284086
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Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The concept of this book, Soil Erosion Rate Calculator (SERC) is designed over the Qt Designer interface & Python language. SERC is a plugin which is installed into the geospatial software package Quantum GIS (QGIS). This helps to find the soil erosion rate from the prepared raster layers. The Basic working principle of this plugin is the Universal Soil Loss Equation (USLE) introduced by Wieschmeier & Smith. This plugin calculates soil erosion rate from prepared layers of R-factor (Rainfall Erosivity), K-factor (Soil Erodibility), C-factor (Cover & Management) and LS factor (Slope Length and Steepness). This plugin is developed for the geo-processing software named QGIS. Currently QGIS doesn`t offer any customized tool for finding soil erosion rate yet. This is one of the limitations of QGIS. So, finding soil erosion is a time-consuming process. But QGIS provides a plugin called plugin builder for customization so we can develop tools for our interest. With the development of SERC we can save a lot of time from analysis procedure. So, through this book I am trying to explain how to create a new plugin & automate the annual soil erosion rate calculation of a geographical area. Bestandsnummer des Verkäufers 9786138284086
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Taschenbuch. Zustand: Neu. The Journey to the Wonderful World of Python Development | Developmental Story of a Python based plugin to calculate the Soil Erosion Rate using Universal Soil Loss Equation | Sumith Satheendran | Taschenbuch | 104 S. | Englisch | 2018 | LAP LAMBERT Academic Publishing | EAN 9786138284086 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu Print on Demand. Bestandsnummer des Verkäufers 112897917
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