Remote sensing

Soil moisture remote sensing

Soil moisture remote sensing

Soil moisture remote sensing. This video is part of the Australian National University course ‘Advanced Remote Sensing and GIS’ (ENVS3019 / ENVS6019).

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Vegetation remote sensing: introduction

Vegetation remote sensing: introduction

Vegetation remote sensing: introduction. This video is part of the Australian National University course ‘Advanced Remote Sensing and GIS’ (ENVS3019 / ENVS6319).

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Thesis defence: Remote sensing of drylands hydrological pattern

Thesis defence: Remote sensing of drylands hydrological pattern

“Fine-scale remote sensing of woody vegetation in the drylands of the American southwest, coupled with automated pattern analysis, in an effort to detect the ubiquitous but subtle signal of an emergent eco-hydrological mechanism linked to climate sensitivity and collapse.” Presented in November 2008 at the University of Michigan School of Natural Resources and Environment by Hugh Stimson. More details here: ...

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Near Infrared Spectral Region

Near Infrared Spectral Region

Near infrared spectral region (0.7-1 um) just longer than the red visible spectral region (0.6-0.7um), a region where plant canopies are highly reflective relative to other spectral regions.

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Thematic Change Detection and Presentation

Thematic Change Detection and Presentation

The thematic change detection is performed based on two Landsat8 classifications from the years 2013 and 2016 over Dubai. After the classification, the combination showed here, enables to extract “From To” information of the studied surface. The Change Detection is done using ENVI 5.1 the presentation and analysis of the result is performed using ArcMap 10.3

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Analysis of Spectral Response Differences

Analysis of Spectral Response Differences

You will compare the spectral response of broadleaf aspen forest canopies versus a broadleaf wetland canopy using Landsat-8 sensor data (6 spectral bands in the visible, NIR, and SWIR spectral regions.

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Spatial Filters in Remote Sensing

Spatial Filters in Remote Sensing

This three-part module examines the concept and use of spatial filters in remote sensing. Part 1 introduces the idea of spatial frequency, the reasons for using filters, and the difference between high and low pass filters. Part 2 explains how filters work, as well as, the effects of simple high and low pass filters on an image. Part 3 provides ...

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