v0.1.3

SpectralIndices v0.1.3

Diff since v0.1.2

🌟 SpectralIndices v0.1.3 Released 🌟

Hello SpectralIndices Community!

We're excited to announce the release of SpectralIndices v0.1.3. This version brings a significant enhancement that broadens the horizons of your spectral analysis capabilities:

🚀 New Feature: YAXArrays Support! 🚀

• Extended Data Handling: We've introduced support for YAXArrays in spectral index computation. Now, you can seamlessly use YAXArray data structures in your analyses.
• Enhanced Flexibility: This addition is aimed at providing you more options and flexibility in how you handle and analyze your remote sensing data.
• Effortless Integration: Incorporating YAXArrays into your workflow with SpectralIndices is now as straightforward as it gets. Enjoy the smooth and efficient processing of your multidimensional data arrays!

How to Use:

You can pass a single YAXArray directly as a parameter or or through keyword arguments in your computation functions. This flexibility allows for seamless integration of YAXArrays into your existing workflows. Here's how you can do it:

Example:

axes = (Dim{:Lon}(1:5), Dim{:Lat}(1:5), Dim{:Time}(1:10))
N_data = fill(0.643, (5, 5, 10))
R_data = fill(0.175, (5, 5, 10))

nds = YAXArray((Dim{:Lon}(1:5), Dim{:Lat}(1:5), Dim{:Time}(1:10)),N_data)
rds = YAXArray((Dim{:Lon}(1:5), Dim{:Lat}(1:5), Dim{:Time}(1:10)),R_data)

nr_ds = concatenatecubes([nds, rds], Dim{:Variables}(["N", "R"]))
# as params
result_df_single = compute_index("NDVI", nr_ds)
# as kwargs
result_df_single2 = compute_index("NDVI"; N=nds, R=rds)

Happy Analyzing!

— The SpectralIndices Team

Merged pull requests:

• Dispatch over YAXArrays (#9) (@MartinuzziFrancesco)
• CompatHelper: add new compat entry for DimensionalData at version 0.25, (keep existing compat) (#10) (@github-actions[bot])
• CompatHelper: add new compat entry for YAXArrays at version 0.5, (keep existing compat) (#11) (@github-actions[bot])
• Update Project.toml (#12) (@MartinuzziFrancesco)