# TIFF/Multispectral support **URL:** https://community.opendronemap.org/t/tiff-multispectral-support/3232 **Category:** Developers Chat **Created:** [December 5, 2019, 9:06pm UTC](https://community.opendronemap.org/t/tiff-multispectral-support/3232 "2019-12-05T21:06:44Z") **Posts on this page:** 1 **Showing post:** 39
### Author: ![smathermather](https://community.opendronemap.org/user_avatar/community.opendronemap.org/smathermather/32/876_2.png) [@smathermather](https://community.opendronemap.org/u/smathermather) #### Post date: [January 28, 2020, 5:32pm UTC](https://community.opendronemap.org/t/tiff-multispectral-support/3232/39 "2020-01-28T17:32:55Z")
Yes, a mono band sensor would be better for sure. (Thanks for including the figure for clarity for others!) The reality with the stacked sensor, as I understand it, is that the response functions for the different layers of silica mean that there really isn’t a red, green, and blue layer, _per se_, as silicon penetration depth is the filtering process, but one can think of the 3 layers in a Foveon as related to those colors, with a complicated and computationally intensive process to transform that info into color space that we understand. > Side note: this complicated process of deconvolution (?) of the data is the reason why foveon chips tend to be slow in post-processing and noise prone at higher ISO levels. In some ways they have the opposite problems introduced by the convolution / interpolation that is used to resolve samping in Bayer style sensors. So all that to say, when you switch a Foveon chip to grayscale mode, it is producing a single integrated brightness value per pixel which strikes me as conveniently similar to mono-band sensors. --- _[View the full topic](https://community.opendronemap.org/t/tiff-multispectral-support/3232)._