Red green 3d software

Vegetation reflectance properties are used to derive vegetation indices VIs. The indices are used to analyze various ecologies. Vegetation Indices are constructed from reflectance measurements in two or more wavelengths to analyze specific characteristics of vegetation, such as total leaf area and water content. Vegetation interacts with solar radiation differently from other natural materials, such as soils and water bodies.

The absorption and reflection of solar radiation is the result of numerous interactions with different plant materials, which varies considerably by wavelength. Water, pigments, nutrients, and carbon are each expressed in the reflected optical spectrum from nm to nm, with often overlapping, but spectrally distinct, reflectance behaviors.

These known signatures allow scientists to combine reflectance measurements at different wavelengths to enhance specific vegetation characteristics by defining VIs.

More than vegetation indexes have been published in scientific literature, but only a small subset have substantial biophysical basis or have been systematically tested. Vegetation indices are based on the observation that different surfaces reflect different types of light differently.

Photosynthetically active vegetation, in particular, absorbs most of the red light which hits it while reflecting much of the near infrared light. Vegetation which is dead or stressed reflects more red light and less near infrared light. Likewise, non-vegetated surfaces have a much more even reflectance across the light spectrum. NDVI is calculated on a per-pixel basis as the normalized difference between the red and near infrared bands from an image.

NDVI can be calculated for any image which has a red and a near infrared band. The biophysical interpretation of NDVI is the fraction of absorbed photo-synthetically active radiation.

Various factors can affect NDVI values like plant photosynthetic activity, total plant cover, biomass, plant and soil moisture, and plant stress. Because of this, NDVI is correlated with both agricultural and ecosystem attributes, which are of interest to researchers and managers e.

Also, because it is a ratio of two bands, NDVI helps compensate for differences both in illumination within an image due to slope and aspect, and differences between images due things like time of day or season when the images were acquired. Thus, vegetation indices like NDVI make it possible to compare images over time to look for agricultural and ecologically significant changes. The normalized difference red edge index NDRE is a metric which can be used to analyse whether images obtained from multi-spectral image sensors contain healthy vegetation or not.

NDRE uses a red edge filter to view the reflectance from the canopy of the crop. The red edge is a region in the red-NIR transition zone of vegetation reflectance spectrum and marks the boundary between absorption by chlorophyll in the red visible region and scattering due to leaf internal structure in the NIR region.

This allows the grower to determine all the different variables for crop management. Understanding the levels of chlorophyll can provide the farmer with the ability to monitor photosynthesis activity. With NDRE information the grower can optimize harvest times based on transitions of photosynthesis activity. During crop harvest events like: hull split in almonds, or max sugar content in grapes, a noticeable change in NDRE values occur. This information in invaluable as a crop management tool for harvest scheduling allowing the grower to have the highest quality produce.

Other factors that can change chlorophyll levels and cause crop stress are insect infestations. By utilizing NDRE you can determine how severe a mite outbreak is for an almond field and then use a precise way to terminate the infestation. This not only allows you to monitor outbreaks, but also reduce costs associated with pest control. Various precision farming and agricultural crop stress tools and applications are built around Vegetation Indexes to give a complete solution, which include processing, storage, presentation and analysis of multispectral data.

More on the multispectral software applications below. Also some of the best photogrammetry software can analyse NDVI and vegetation indexes. One example, is the DroneDeploy 3D mapping app. The reflectance properties of an object depend on the particular material and its physical and chemical state e. The most important surface features are color, structure and surface texture. The perceived color of an object corresponds to the wavelength of the visible spectrum with the greatest reflectance.

These differences make it possible to identify different earth surface features or materials by analyzing their spectral reflectance patterns or spectral signatures. These signatures can be visualized in so called spectral reflectance curves as a function of wavelengths.

The below diagram show typical spectral reflectance curves of three basic types of Earth features: green vegetation , dry bare soil and clear water.

Green, Red, and Infrared are the main ones used in agriculture. The Red Edge short band corresponding to the Near Infrared entry point is also sometimes used for obtaining additional indices. The below vegetation spectrum image has details and explanations regarding the reflectance and vegetation wavebands. The spectral reflectance curve of healthy green vegetation has a significant minimum of reflectance in the visible portion of the electromagnetic spectrum resulting from the pigments in plant leaves.

Places to Get 3D Glasses! For this activity we explain how to use Adobe Photoshop, but you should be able to get the same results using similar programs by playing around with the tools and settings.

To recreate this 3D effect in print or on a computer screen, we need to simulate binocular vision. In short, we need to take two photos of our subject, separated by a short distance the distance between your eyes: about 3 inches , then make it so your left eye only sees the left image and your right eye only sees the right.

You should try experimenting for a while with taking photos and creating the images to get the best results. Information on creating anaglyph images in color: Wikipedia. How does 3D work?

It is easier to take photos of objects or landscapes because we need to take two photos that are as identical as possible. Comments are not for extended discussion; this conversation has been moved to chat. This was inherited by Color Monitors.

So most programmers were more familiar with RGB system than any others. Add a comment. One should point out that this isn't the only color model and there are ones such as HSV and HSL that are represented as cylinders: Color theory itself goes back quite a ways.

See: upload. The question is not, "How do you represent a color? The question isn't about representing colour. This is ux, the question is about why x is represented by red, why y is green and why z is blue. Explaining the additive colour model answers why RGB and not any other colours, but it doesn't explain why x isn't green and why z isn't red. For whatever reason, we have standardized long ago on red coming first and blue coming last.

The spectrum of light is usually shown with red on the left. And so on. Hence my comment is on this answer and not on any of the others.

Show 1 more comment. This is the only response on this thread that sounds remotely like a verifiable answer. I still think the question is way off topic, but it has enough views to deserve an insightful response.

Thanks for stopping by Rob. Sounds like fun stuff. Hope you'll drop in more often. Thorsten S. Not a bad answer, but I think it's over-complicating the explanation of additive vs. The main thing to remember is that they share a lot of colors, but both color spaces have colors the other can not reproduce: rgb vs cmyk gamut google.

Rob Rob 2, 1 1 gold badge 15 15 silver badges 21 21 bronze badges. It's pretty much the de facto standard for 3D modelling software. To be honest though, how many times when doing maths do you draw a colour image of three arrows representing the x, y and z axes? Most people will never need three coloured arrows representing the x, y, z axes unless they are doing 3D modelling, in which case they'll probably be using them all the time.

This is a fair point. I think everyone assumed this was in reference to 3D modeling UIs but on second read, there's nothing in particular that refers to that. ShubiArt ShubiArt 1. Gautham Raja Gautham Raja 4 4 silver badges 10 10 bronze badges.

What i am wondering is when this became used as the colors for an Axis, which could have been any color, and even if using primary colors, the blue could easily be Y instead of Z, so when did this become the convention — user Also, there's several schools of thought as to what orientation of the "arrows" is proper. You have left-handed vs. Y-up etc. Not to mention that you usually don't care all that much about -Z vs. That's a good technical explanation of what RGB is but doesn't really answer the question.

Hence, those tree "famous colors, in that order" are used for 3D icons. There is utterly no, whatsoever, connection technically between the two. Image frame may be rotated 90 degrees left or 90 degrees right or image-pair may be rotated within frame by any angle. Hue, saturation, lightness and gamma of the individual images may be altered. The images may be sharpened Crop the image to any size or to one of five custom-sizes Crop the image to a user-defined aspect-ratio Accurately crop large, zoomed-in images such as panoramas Resize using pixel-resize or bilinear interpolation, retaining aspect-ratio if desired Resize image in fine increments of 0.

When resizing, retain aspect-ratio with or without a border Automatic correction of image-rotation errors Manual correction of image 'keystone' errors. Manual correction of barrel-distortion , especially in wide-angle lenses Overlay a user-defined grid on images in Easy Adjustment mode Edge-detection filter to simplify image-correction or for creating a pictorial effect Alignment information may be saved in SPM's own uncompressed DAS file-format Mosaic image-strips produced by a stereo, virtual camera in 3D Rendering programs into panoramic images Batch Processing Universal Freeview L-R-L to provide website visitors with parallel and cross-eyed viewing options.

Convert MPO files as used by the Fuji Real 3D digital stereo camera into other formats for alternative viewing methods. Dual processor support Formating of images for digital projection. Fully-automatic correction and mounting to the window of hundreds of images, including support for dual-core processors.

Correction of barrel-distortion using previously-determined parameters for a particular focal-length. Embed a correctly-orientated thumbnail image in saved JPG images so that 'Windows Explorer' displays them properly.

Use the clipboard to copy or move your favorite images between folders. Quickly scan a folder of images in your chosen stereo viewing-mode and delete selected ones or copy or move them to a chosen folder. Automatic Color Adjustment. Open the contents of two folders in separate,side-by-side windows and synchronously scroll the columns for stereo-comparison.

The columns may be single or multiple-image wide. Add stereo text such as a Copyright notice to individual or batch images and against a colored banner. Add colored drop-shadow to text for greater visibility with some images Overlay custom Logo directly on image or on a colored banner-zone and with transparency. Batch Stereo-Format Conversion Add tricolor borders to Save'd images in a different style to screen borders Batch generation of stereo images from alignment-corrected browsed images.