22
33
44class LacunaLabelsConverter (BaseConverter ):
5- sources = "https://zenodo.org/records/11060871/files/ mapped_fields_final.parquet?download=1 "
5+ sources = "https://africa-field-boundary-labels.s3.us-west-2.amazonaws.com/ mapped_fields_final.parquet"
66 id = "lacuna"
77 short_name = "Lacuna Labels"
88 title = "A region-wide, multi-year set of crop field boundary labels for Africa"
@@ -22,7 +22,14 @@ class LacunaLabelsConverter(BaseConverter):
2222
2323 Please refer to the [technical report](docs/report/technical-report.pdf)
2424 for more details on the methods used to develop the dataset, an analysis
25- of label quality, and usage guidelines.
25+ of label quality, and usage guidelines, and the publication:
26+
27+ Estes, L. D., Wussah, A., Asipunu, M., Gathigi, M., Kovačič, P., Muhando, J.,
28+ Yeboah, B. V., Addai, F. K., Akakpo, E. S., Allotey, M. K., Amkoya, P., Amponsem, E.,
29+ Donkoh, K. D., Ha, N., Heltzel, E., Juma, C., Mdawida, R., Miroyo, A., Mucha, J.,
30+ Mugami, J., Mwawaza, F., Nyarko, D. A., Oduor, P., Ohemeng, K. N., Segbefia, S. I. D.,
31+ Tumbula, T., Wambua, F., Xeflide, G. H., Ye, S., Yeboah, F.(2024). A region-wide,
32+ multi-year set of crop field boundary labels for Africa. arXiv:2412.18483.
2633
2734 Data is published at https://zenodo.org/records/11060871 and can be used in accordance with
2835 [Planet’s participant license agreement for the NICFI contract](https://go.planet.com/nicfi-pla-2024).
@@ -45,13 +52,21 @@ class LacunaLabelsConverter(BaseConverter):
4552 }
4653
4754 columns = {
48- "geometry" : "geometry" ,
4955 "id" : "id" ,
56+ "name" : "name" ,
57+ "assignment_id" : "assignment_id" ,
58+ "image_date" : "image_date" ,
59+ "completion_time" : "completion_time" ,
5060 "category" : "category" ,
61+ "geometry" : "geometry" ,
5162 }
5263
5364 missing_schemas = {
5465 "properties" : {
55- "category" : {"type" : "string" },
66+ "name" : {"type" : "string" },
67+ "category" : {"type" : "string" , "enum" : ["annualcropland" ]},
68+ "assignment_id" : {"type" : "string" },
69+ "image_date" : {"type" : "string" },
70+ "completion_time" : {"type" : "date-time" },
5671 }
5772 }
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