hanging indent

services/ows_refactored/agriculture/ows_crop_mask_cfg.py

@@ -325,15 +325,15 @@
                 ],
             },
         },
-         {
+        {
             "title": "Cropland extent 2019 - Southeast Africa",
             "name": "crop_mask_southeast",
             "abstract": """
 Digital Earth Africa's cropland extent map for Southeast Africa (2019) shows the estimated location of croplands in the countries of Zambia, Malawai, Mozambique, and Zimbabwe for the period January to December 2019. Cropland is defined as: "a piece of land of minimum 0.01 ha (a single 10m x 10m pixel) that is sowed/planted and harvest-able at least once within the 12 months after the sowing/planting date." This definition will exclude non-planted grazing lands and perennial crops which can be difficult for satellite imagery to differentiate from natural vegetation.
 
 This provisional cropland extent map has a resolution of 10m, and was built using Copernicus Sentinel-2 satellite images from 2019. The cropland extent map was produced using extensive training data from across Southern Africa, coupled with a Random Forest machine learning model. For a detailed exploration of the methods used to produce the cropland extent map, read the Jupyter Notebooks in DE Africa’s crop-mask GitHub repository.
 
-An independent validation dataset suggests this service has an overall accuracy of 87.3 %. The algorithm in this region tends to report more comission errors (labelling non-crop as crops) than ommission errors (labelling actual crops as non-crops). Where commission errors occur they tend to be focussed around wetlands and seasonal grasslands which spectrally resemble some kinds of cropping.
+An independent validation dataset suggests this service has an overall accuracy of 87.3 %. The algorithm in this region tends to report more commission errors (labelling non-crop as crops) than ommission errors (labelling actual crops as non-crops). Where commission errors occur they tend to be focussed around wetlands and seasonal grasslands which spectrally resemble some kinds of cropping.
 
 The crop mask contains three measurements:
 - mask ("Cropped land"): This band displays cropped regions as a binary map. Values of 1 indicate the presence of crops, while a value of 0 indicates the absence of cropping. This band is a pixel-based cropland extent map, meaning the map displays the raw output of the pixel-based Random Forest classification.