Update README.md

README.md

@@ -46,29 +46,28 @@ The M3LEO dataset spans 9 diverse EO data types, covering input EO imagery and a
 
 #### Synthetic Aperture Radar Datasets
 
-- [`s1grd-[2018-2020]`](https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_S1_GRD): Sentinel-1 C-band Synthetic Aperture Radar Ground Range Detected (GRD) amplitude, two channels (vv, vh) at 10m resolution with seasonal median (4 seasons per year) for both ascending and descending modes.
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-- [`gssic`](https://asf.alaska.edu/datasets/derived/global-seasonal-sentinel-1-interferometric-coherence-and-backscatter-dataset/): Global Seasonal Sentinel-1 Interferometric Coherence and backscatter dataset at aroud 90m resolution.
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-- [`gunw-dateinit_dateend`](https://asf.alaska.edu/data-sets/derived-data-sets/sentinel-1-interferograms/): ARIA Sentinel-1 Geocoded Unwrapped Interferograms at 90m resolution, selecting within the [dateinit, datend] period the date that has most interferometric pairs as first date.
+- [`s1grd-[2018-2020]`](https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_S1_GRD): Sentinel-1 C-band SAR Ground Range Detected (GRD) data. Contains VV and VH polarization channels at 10m resolution, with seasonal median composites (4 seasons/year) for ascending and descending orbits.
+- 
+- [`gssic`](https://asf.alaska.edu/datasets/derived/global-seasonal-sentinel-1-interferometric-coherence-and-backscatter-dataset/): Global Seasonal Sentinel-1 Interferometric Coherence and Backscatter dataset at 90m resolution.
+- 
+- [`gunw-dateinit_dateend`](https://asf.alaska.edu/data-sets/derived-data-sets/sentinel-1-interferograms/): ARIA Sentinel-1 Geocoded Unwrapped Interferograms at 90m resolution. Date selection prioritizes maximum interferometric pair availability within the specified period [dateinit, dateend].
 
 #### Optical Imagery
 
-- [`s2srm-[2018-2020]`](https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_S2_SR_HARMONIZED): Harmonized Sentinel-2 Level 2A multi-spectral imagery, 10 channels (B2, B3, B4, B5, B6, B7, B8, B8A, B11, B12) cloudless median for months [March, June, September, December] at 10m resolution.
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-#### Labelled Datasets
+- [`s2srm-[2018-2020]`](https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_S2_SR_HARMONIZED): Harmonized Sentinel-2 Level 2A surface reflectance data at 10m resolution. Includes 10 spectral bands (B2, B3, B4, B5, B6, B7, B8, B8A, B11, B12) as cloudless monthly medians for March, June, September, and December.
 
+#### Labeled Datasets
 - [`biomass-2020`](https://climate.esa.int/en/projects/biomass/): ESA Climate Change Initiative (CCI) Above Ground Biomass annual maps at 90m resolution.
 
-- [`esaworldcover-2020`](https://developers.google.com/earth-engine/datasets/catalog/ESA_WorldCover_v100): ESA World Cover land cover maps at 10m resolution.
+- [`esaworldcover-2020`](https://developers.google.com/earth-engine/datasets/catalog/ESA_WorldCover_v100): ESA World Cover land use/land cover maps at 10m resolution.
 
-- [`modis44b006veg`](https://developers.google.com/earth-engine/datasets/catalog/MODIS_006_MOD44B): MODIS Vegetation Continuous Field annual maps at 250m resolution.
+- [`modis44b006veg`](https://developers.google.com/earth-engine/datasets/catalog/MODIS_006_MOD44B): MODIS Vegetation Continuous Fields (VCF) annual maps at 250m resolution.
 
-- [`ghsbuilts-2020`](https://human-settlement.emergency.copernicus.eu/download.php?ds=bu): EU JRC Global Human Settlement Layer Builtup Surface at 100m resolution.
+- [`ghsbuilts-2020`](https://human-settlement.emergency.copernicus.eu/download.php?ds=bu): European Commission JRC Global Human Settlement Layer (GHSL) Built-up Surface dataset at 100m resolution.
 
 #### Digital Elevation Model
 
-- [`srtmdem`](https://developers.google.com/earth-engine/datasets/catalog/CGIAR_SRTM90_V4): NASA SRTM digital elevetation model at 30m resolution.
+- [`srtmdem`](https://developers.google.com/earth-engine/datasets/catalog/CGIAR_SRTM90_V4): NASA Shuttle Radar Topography Mission (SRTM) digital elevation model at 30m resolution.
 
 # Acknowledgements<br>
 This work has been enabled by [Frontier Development Lab Europe](https://fdleurope.org) a public / private partnership between the European Space Agency (ESA), Trillium Technologies, the University of Oxford and leaders in commercial AI supported by Google Cloud and NVIDIA, developing open science for all Humankind.