Canopy reflectance
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Soil Temperature Determines the Reaction of Olive Cultivars to Verticillium dahliae Pathotypes

Soil Temperature Determines the Reaction of Olive Cultivars to Verticillium dahliae Pathotypes | Canopy reflectance | Scoop.it
PLOS ONE: an inclusive, peer-reviewed, open-access resource from the PUBLIC LIBRARY OF SCIENCE. Reports of well-performed scientific studies from all disciplines freely available to the whole world.

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Drought and vegetation monitoring | ArcGIS Blog

Drought and vegetation monitoring | ArcGIS Blog | Canopy reflectance | Scoop.it
Geoprocessing Blog: Drought and vegetation monitoring: Remote sensing is incredibly useful for informing us ab... http://t.co/M3mMQAJcFu
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Remote Sensing | Free Full-Text | Empirical Modelling of Vegetation ...

Remote Sensing | Free Full-Text | Empirical Modelling of Vegetation ... | Canopy reflectance | Scoop.it
Peatlands are important terrestrial carbon stores. Restoration of degraded peatlands to restore ecosystem services is a major area of conservation effort. Monitoring is crucial to judge the success of this restoration.

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We Need to Invest More in Hamilton's Tree Canopy - Raise the Hammer

We Need to Invest More in Hamilton's Tree Canopy - Raise the Hammer | Canopy reflectance | Scoop.it
We Need to Invest More in Hamilton's Tree Canopy
Raise the Hammer
The Spectator has run a great series of articles recently on the state of our tree canopy.
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New national tree canopy map shows higher than expected tree cover - Horticulture Week

New national tree canopy map shows higher than expected tree cover - Horticulture Week | Canopy reflectance | Scoop.it
New national tree canopy map shows higher than expected tree cover
Horticulture Week
An aerial mapping company has completed what it says is the first ever detailed digital map of England and Wales' 20,000 sq km of tree canopy cover.
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Remote Sensing || Scaling Effect of Area-Averaged NDVI: Monotonicity along the Spatial Resolution

Changes in the spatial distributions of vegetation across the globe are routinely monitored by satellite remote sensing, in which the reflectance spectra over land surface areas are measured with spatial and temporal resolutions that depend on the...

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Surface reflectance of vegetation

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Apparent Reflectance Raster Function | ArcGIS Resource Center

Apparent Reflectance Raster Function | ArcGIS Resource Center | Canopy reflectance | Scoop.it

The Apparent Reflectance raster function calibrates image brightness values (DN) for some satellite sensors. The main advantage of apparent reflectance function is to adjust the images to a theoretically common illumination condition, so there should be less variation between scenes from different dates and from different sensors. This can be useful for image classification, color balancing, and mosaicking.

 

The function performs two calibrations. The first calibration is to convert the DN value to the top of atmosphere (TOA) radiance based on the sensor properties (i.e. gain/bias or LMAX/LMIN). The second calibration is to convert the TOA radiance to apparent reflectance, based on sun elevation and acquisition date. The formulas used in the two conversions can be found in section 11.3.1 and 11.3.2 of the Landsat 7 Science Data User Handbook.

 

Apparent reflectance is a ratio and its native output range is 0-1. For display purposes, in this function, the ratio is multiplied by 255, and the output is therefore stretched from 0-1 to 0-255. When using default 8-bit unsigned integer output data type, the value is rounded down to integers.

 

Some scientific research (e.g. serving as input of atmospheric model to achieve surface reflectance) requires the original ratio. This can be achieved by 1) selecting apparent reflectance raster function output type to be 32 Bit float, and 2) adding an arithmetic raster function immediately after this function to divide the value by 255.

 

This function can only be used with specific imagery and may be automatically applied when adding data to a mosaic dataset using the appropriate raster type. The applicable sensors are Landsat, IKONOS, and QuickBird. If this function is applied to a dataset that is invalid it will slow the function chain but make no adjustments.

 

This function modifies the image values, so previous statistics and histograms are no longer valid. This function should be applied early in the function chain, after band extraction (reordering) and prior to any stretching or other radiometric function.

Written by: Hua Wei

 


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Using multiple Landsat scenes in an ensemble classifier reduces classification error in a stable nearshore environment

New paper! Regina co-author in a seashore remote sensing study published in possibly our longest-named journal yet http://t.co/ik5mY10w31
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Hyperspec III Software Simplifies Collection and Management of Hyperspectral ... - GISuser.com (press release)

Hyperspec III Software Simplifies Collection and Management of Hyperspectral ... - GISuser.com (press release) | Canopy reflectance | Scoop.it
Hyperspec III Software Simplifies Collection and Management of Hyperspectral ...
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Fruit of Swedish fieldwork: canopy-height relationships | scottishsnow

Fruit of Swedish fieldwork: canopy-height relationships | scottishsnow | Canopy reflectance | Scoop.it
Way back in March 2012 I went to Abisko, Sweden on behalf of Tim Reid to collect data to help link forest canopy density with remotely measured tree height. As I'm learning, the birthing process for academic work is often a ...
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Summertime canopy albedo is sensitive to forest thinning - BGD

Summertime canopy albedo is sensitive to forest thinning. J. Otto1, D. Berveiller2, F.-M. Bréon1, N. Delpierre2, G. Geppert3, A. Granier4, W. Jans5, A. Knohl6, A. Kuusk7, B. Longdoz4, E. Moors5, M. Mund6, B.
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dominoc925: Simple canopy height derivation using Global Mapper

dominoc925: Simple canopy height derivation using Global Mapper | Canopy reflectance | Scoop.it

The forest canopy height is the height of the highest vegetation above the ground level. It is possible to calculate the canopy height from LiDAR derived digital terrain models (DTM) and digital surface models (DSM) gridded datasets by doing a simple subtraction in Global Mapper. The example below shows how to use the Combine Terrain Layers function in Global Mapper to calculate the canopy height......


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Parameters for canopy reflectance models

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Observations in Agriculture: Correction of Imagery for soil mapping

Observations in Agriculture: Correction of Imagery for soil mapping | Canopy reflectance | Scoop.it
Correction of Imagery for soil mapping. I just read an article entitled " Considerations for atmospheric correction of Surface Reflectance for Soil Survey ...daverahe.blogspot.com/.../correction-of-imagery-for-soil-map...

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Useful information in the context of plant canopy reflectance models

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