fixing figure 1 caption

paper.md

@@ -33,7 +33,7 @@ bibliography: paper.bib
 
 River and Basin Profiler (`rabpro`) is a Python package to delineate watersheds, extract river flowlines and elevation profiles, and compute watershed statistics for any location on the Earth’s surface. As fundamental hydrologically-relevant units of surface area, watersheds are areas of land that drain via aboveground pathways to the same location. Delineations of watershed boundaries are typically performed on DEMs that represent surface elevations as gridded rasters. Depending on the resolution of the DEM and the size of the watershed, delineation may be very computationally expensive. With this in mind, we designed `rabpro` to provide user-friendly workflows to manage the complexity and computational expense of watershed calculations given an arbitrary coordinate pair. In addition to basic watershed delineation, `rabpro` will extract the elevation profile for a watershed’s main-channel flowline. This enables the computation of river slope, which is a critical parameter in many hydrologic and geomorphologic models. Finally, `rabpro` provides a user-friendly wrapper around Google Earth Engine’s (GEE) Python API to enable cloud-computing of zonal watershed statistics and/or time-varying forcing data from hundreds of available datasets. Altogether, `rabpro` provides the ability to automate or semi-automate complex watershed analysis workflows across broad spatial extents.
 
-![The core functionality of rabpro demonstrated on the Sigatoka River. (A) Study site with both MERIT and HydroBASINS delineations and river flowline extraction for a hypothetical gage station. Bing VirtualEarth base image. (B) MERIT-Hydro delineation with MERIT-Hydro flowlines underneath. (C) HydroBASINS delineation with level-12 HydroBASINS polygons as white outlines. (D) Extracted elevation profile with gage location denoted by white circle at Distance = 0. (E) Examples of time-averaged (where appropriate) basin characteristics retrieved by rabpro from Google Earth Engine. Data sources are given in the text.  population [@ciesin_gridded_2017], NDVI [@didankamel_mod13a2_2015], topo slope [@amatulli_geomorpho90m_2020], precipitation [@nasa_gpm_gpm_2019], soil moisture [@oneill_smap_2018], and temperature [@copernicus_climate_change_service_era5_2017]. (F, G) Basin-averaged time-series data fetched by rabpro for the temperature and precipitation datasets in (E).\label{fig:figure_1}](./docs/paper_fig/figure_1.PNG)
+![The core functionality of rabpro demonstrated on the Sigatoka River. (A) Study site with both MERIT and HydroBASINS delineations and river flowline extraction for a hypothetical gage station. Bing VirtualEarth base image. (B) MERIT-Hydro delineation with MERIT-Hydro flowlines underneath. (C) HydroBASINS delineation with level-12 HydroBASINS polygons as white outlines. (D) Extracted elevation profile with gage location denoted by white circle at Distance = 0. (E) Examples of time-averaged (where appropriate) basin characteristics retrieved by rabpro from Google Earth Engine. Data sources are: population [@ciesin_gridded_2017], NDVI [@didankamel_mod13a2_2015], topo slope [@amatulli_geomorpho90m_2020], precipitation [@nasa_gpm_gpm_2019], soil moisture [@oneill_smap_2018], and temperature [@copernicus_climate_change_service_era5_2017]. (F, G) Basin-averaged time-series data fetched by rabpro for the temperature and precipitation datasets in (E).\label{fig:figure_1}](./docs/paper_fig/figure_1.PNG)
 
 ## Statement of Need