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Applied Geography

Application of Geospatial knowledge, skills &Technology (GPS, GIS, RS) to the resolution of real-world social, economic & environmental problems

Classification of Faults

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- December 03, 2016

https://youtu.be/qlk7IfYMufs

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Filtering in Remote Sensing. Convolution. Edge enhancement. Low pass filter and High-pass filter

- December 09, 2022

Filtering in Remote Sensing. Convolution. Edge enhancement. Low pass filter and High-pass filter Spatial filtering is a technique used in remote sensing to enhance the spatial resolution of an image. This is typically done by using a mathematical algorithm to process the raw data collected by the remote sensing instrument, with the goal of reducing noise and improving the overall quality of the image. Spatial frequency in remote sensing refers to the density of spatial details or features in an image. It is a measure of how quickly the intensity or brightness of an image changes over a given distance. High spatial frequency indicates a high density of fine details or edges in an image, while low spatial frequency indicates a low density of fine details or edges. Spatial frequency is an important concept in remote sensing because it can affect the ability to detect and interpret features in an image. It can also be used to evaluate the quality and usefulness of an image for certain type...

Edge detection or edge enhancement in remote sensing

- December 11, 2022

Edge detection is a common technique used in remote sensing to identify and extract the boundaries or edges of objects in an image. This can be useful for identifying changes in land cover, detecting features such as roads or buildings, and improving the overall interpretation and classification of an image. Edge detection algorithms typically use mathematical techniques to identify abrupt changes in pixel values within an image. These changes may indicate the presence of an edge or boundary between two distinct objects or areas. Edge detection is an important tool in remote sensing for a number of reasons. It can be used to identify objects or features in an image, such as roads, buildings, or vegetation. It can also be used to improve image classification by highlighting important features that may not be easily visible in the raw data. Additionally, edge detection can be used to improve image registration and mosaicking, by providing a common reference point for aligning multiple im...

PHD STUDENT POSITION ON ANTARCTIC VEGETATION ECOLOGY AND REMOTE SENSING Vrije Universiteit Amsterdam. 4 research positions

- October 18, 2020

PHD STUDENT POSITION ON ANTARCTIC VEGETATION ECOLOGY AND REMOTE SENSING Vrije Universiteit Amsterdam https://werkenbij.vu.nl/ad/phd-student-position-on-antarctic-vegetation-ecology-and-remote-sensing/uhnned/en 4 research positions (2 PhDs and 2 postdocs) will be available at the Department of Ecological Science, for the research project entitled "The Antarctic biota count (ABC): a functional trait-based approach to scale biodiversity from plot to region'', funded by the Netherlands Polar Program (NWO). Locatie: AMSTERDAM FTE: 1 JOB DESCRIPTION The aim of this work package is to quantify the cover of dominant cryptogam groups along the Antarctic Peninsula region. A central question within this package is: 'How much vegetation cover is there along the Antarctic Peninsula?' By linking surveys of vegetation type and cover to remote sensing methods we aim to scale plot measurements to the entire Antarctic Peninsula region. To unravel the mechanism behind species specifi...