Question

Given the following Landsat measured reflectance for R,G, B, NIR, and thermal infrared intensity (TIR), for a pixel, determine if it is likely to be conifer forest, hardwood forest or desert/urban? (various temperatures and NDVI values). Explain how you know.

Reflectances and spectral radiance: blue (0.4 um) = 0.11; green (0.5 um) = 0.14; red (0.7 um) = 0.07 NIR (1.1 um) = 0.3; TIR (10.3 um) = 5.3 W/m2/um/ster

Answer 1

Here Hyperspectral imaging is the collect and process information across electromagnetic spectrum. This method have large application in detection of objects or material by collecting the spectral radiance in a pixel and processing the information.

We have given some data by hyperspectral imaging technique and we suppose to process it for recognise it as I) Conifers forest or

II) Hardwood forest. Or

III) Desert/urban

Given data of reflectance and spectral radiance

Blue(0.4um) = 0.11

Green (0.5um) = 0.14

Red(0.7um) = 0.07

NIR (1.1 um) = 0.3

TIR (10.3 um) = 5.3

1. From given data we can conclude that as Green radiation has high intensity so it will not be an desert and Thermal Infrared intensity comparably low so it will obviously not an urban area.
2. Now we will check in forest category which also having two types as hardwood and conifers. Here we clearly say that conifer forest have broad leaf so obviously the green intensity will be higher as well as it will contain large blue pigment and hardwood forest are basically oak forest containing narrower leaf so it will obviously not good choice giving the highest radiation intensity for green colour.