Grammatical edits to flipnslide intro

docs/intro.md

@@ -16,15 +16,15 @@ convolutional processing downstream.
 tiled datasets that follow the Flip-n-Slide strategy from a single large 
 scientific image. The package is flexible, providing tiled outputs as `numpy` 
 arrays {cite}`harris_2020`, `PyTorch` tensors {cite}`paszke_2019`, or `Tensorflow` tensors 
-{cite}`abadi_2015` depending on user preference,allowing it to be efficiently slotted into 
+{cite}`abadi_2015` depending on user preference, allowing it to be efficiently slotted into 
 existing machine learning pipelines. `flipnslide` allows the user to select preferred 
 tile size and save modes, and it can be implemented on existing data or used to 
-download and tile any Earth Observation datasets from Planetary Computer 
+download and tile any Earth science datasets from Planetary Computer 
 {cite}`microsoftopensource_2022`.
 
 
 `flipnslide` was developed for use with the large satellite images that are used 
-in Earth Observation, but we welcome test cases from any scientific discipline where
+in Earth observation, but we welcome test cases from any scientific discipline where
 spatiotemporal matrices are used as inputs to deep learning. Please let us know here 
 you found it to be helpful in your machine learning pipeline, and we'll include
 a link to your project on the [Projects page]()!