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# Calculating Variable Width Buffers on a Stream Segment Based on Elevation « Gretchen Peterson's Blog

METHODS
In the example below, the stream line is shown in blue and some retention ponds are visible in the aerial photo near that stream:

Next, we take that stream segment and make it into a grid with the same extent as our elevation grid. It looks like this, where each cell has a slightly different elevation value (streams generally go downhill!):

Then we create a Euclidean allocation grid from those stream elevations. It just assigns the elevation of the nearest source stream pixel to all of the other cells. For example, the yellow area is all assigned pixel values of 148817 (meters X 100, since I have also multiplied the elevation grid by 100 to make it into an integer). That stream pixel value that the yellow is emanating out from has a value of 148817.

The next step is to subtract the Euclidean grid from the true elevation grid so that, for each pixel, we determine how much higher that pixel is than the elevation of the closest stream pixel. Ideally, this would produce a variable width buffer once you set a threshold for how high you want to go. For example, if I set the threshold at 1/2′ (which is 15 units in my data, remember it is meters and multiplied by 100), then the resulting “buffer” looks like this, in green:

The area shaded in green is a model of where the locations around the stream are within a half-foot elevation rise of the stream. Areas that are not in green are higher than half a foot of the stream. Note that I’ve left out some of the details which involve subtracting the Euc grid from the elevation grid, then testing (with a con statement in ArcMap in this case) whether or not the result is above 15 or lower than 15, where it is lower than 15, we assign the pixel a 1 and where it is above 15 we assign a NoData value.......

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# Remote Sensing News

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## Forest Cover Database Updates Using Multi-Seasonal RapidEye Data—Storm Event Assessment in the Bavarian Forest National Park

This study is a part of a research program that investigates the potential of RapidEye (RE) satellite data for timely updates of forest cover databases to reflect both regular management activities and sudden changes due to bark beetle and storms. Applied here in the Bavarian Forest National Park (BFNP) in southeastern Germany, this approach detected even small changes between two data takes, thus, facilitating documentation of regular management activities. In the case of a sudden event, forest cover databases also serve as a baseline for damage assessment. A storm event, which occurred on 13 July, 2011, provided the opportunity to assess the effectiveness of multi-seasonal RE data for rapid damage assessment. Images of sufficient quality (<20% cloud cover) acquired one day before the storm event were used as a baseline. Persistent cloud cover meant that the first “after event” image of sufficient quality was acquired six weeks later, on 22 August, 2011. Aerial images (AI) for the official damage assessment done by the BFNP administration were acquired on that same day. The RE analysis for damage assessment was completed two weeks after the post-event data take with an overall accuracy of 96% and a kappa coefficient of 0.86. In contrast, the official aerial image survey from the BFNP was first released in late November, eleven weeks later. Comparison of the results from the two analyses showed a difference in the detected amount of forest cover loss of only 3%. The estimated cost of the RE approach was four times less than that of the standard digital AI procedure employed by the BFNP.
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## How Does LiDAR Remote Sensing Work? Light Detection and Ranging

This NEON Science video overviews what lidar or light detection and ranging is, how it works and what types of information it can provide. The video was prod...
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## Landsat Seen as Stunning Return on Public Investment | Science Features

Landsat pays off in societal and commercial benefits. Read more
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## GIS & Remote Sensing

“GIS & Remote Sensing, by Zy Sisal: updated automatically with a curated selection of articles, blog posts, videos and photos.”
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## Know your Landsat: Understanding and Accessing Landsat Data

Interested in Landsat Data Discovery and Access? Landsat satellites have been observing Earth's land surfaces consistently for over 40 years, providing the l...
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## Spectral Slope as an Indicator of Pasture Quality

In this study, we develop a spectral method for assessment of pasture quality based only on the spectral information obtained with a small number of wavelengths.
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## Surface Freshwater Storage Variations in the Orinoco Floodplains Using Multi-Satellite Observations

Variations in surface water extent and storage are poorly characterized from regional to global scales.
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This video tutorial demonstrates how to download Landsat GeoTiff images from the USGS's Glovis website and composite them in Quantum GIS (QGIS). This tutoria...
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## 10 Open Source Remote Sensing Software Packages...

There is an abundance of choice for open source remote sensing software. This list of 10 free applications describes what each one brings to the table.
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## Russia Declassifies Satellite Earth-Sensing Data

Moscow, Russia (Sputnik) Dec 26, 2014 -
The Russian government said Friday it will provide public access to previously classified Earth-sensing data received from domestic and foreign satellites.
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## Remote Sensing Basics - YouTube

Are you looking to get up to speed with the basics of remote sensing? This webinar by Russ Congalton of UNH and NHView will provide an introduction to remote...

Via Rich Schultz, Fernando Gil
Rich Schultz's curator insight,

Remote Sensing in 45 minutes!

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## Short Announcement: “Quality Check” on SRTM1

“Well, I was expecting this. Damn, those new SRTM1 raster files provided via EarthExplorer by the USGS are sweet.”
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## Using Remote Sensing to Measure Land Deformatio...

Using a remote sensing technique called ‘persistent scatterer interferometry’, Wide Area Processor (WAP) is able to measure changes in height over time
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## Image Registration for Remote Sensing - gekoo.co - Search, Find, Compare and Buy it Now

Image Registration for Remote Sensing in gekoo.co - Search, Find, Compare and Buy it Now - Deals and Offers Online - Discounts and Promotions
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## Modeling in layers: Using remote sensing, GIS expertise to improve disaster responses | SSEC News

Remote sensing, GIS expertise intersect at CIMSS
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## RS 2015 - International Workshop on Remote Sensing Data Analysis, Modeling, Interpretation and Applications: from a global view to a local analysis (RS 2015)

RS 2015 - International Workshop on Remote Sensing Data Analysis, Modeling, Interpretation and Applications: from a global view to a local analysis (RS 2015)
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## Coloring the Sea Around the Pribilof Islands

.@NASA_Landsat 8 captured this look at the coloring of the sea around the Pribilof Islands: http://t.co/UUxIdCNaZV http://t.co/1z0BisMB6f
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## Mapping Permafrost in the Alaskan Yukon River Basin | LP DAAC :: NASA Land Data Products and Services

Web-Enabled #Landsat data used to map permafrost in Alaska Yukon River Basin. http://t.co/z75hT2l8rP , @NASA_Landsat http://t.co/3cAvZcYPkb
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## How Satellite Technology Is Predicting Crop Yields: Q&A with Thomson Reuters | OpenMarkets

A good read on Remote Sensing & Yield Forecasting at @lanworth @thomsonreuters via @Open_Markets http://t.co/8tE13cOzaw
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This brief video, produced by Village Earth with support from the Indian Land Tenure Foundation, was developed to help Native land owners and Tribal programs...
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## Spatial Analysis and Introduction to Remote Sensing by Nancy Thomas - YouTube

Spatial Analysis and Introduction to Remote Sensing by Nancy Thomas
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## Social Media and Remote Sensing

King Fire, Forest Fire, California. (Source, NASA, 2014) At the start of the course I immersed myself in all things revolving Remote Sensing, and found that there were some interesting Instagram ac...
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## SRTM-1 (1 Arc second) now available with large global coverage

“With this post I would like to come back on a topic from September 2014. In this blog post on Digital-Geography I announced that from September 2014 until September 2015 high-resultion SRTM-data will be provided for free by the USGS.”
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