Add LHScat datasets #1586
Add LHScat datasets #1586
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| }， | ||
| { | ||
| name: 'Pearsonr', | ||
| description: 'Pearsonr between the monthly C-band and corrected Ku-band signals in the overlapping years.', |
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please change "Pearsonr" to "Pearson correlation coefficient" in the description for clarity
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| var visParams_signals = { | |||
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please suggest a preview script generating a thumbnail as well
| var signals_withdate = LHScat.filterDate(start_date,end_date); | ||
| var RMSE = ee.Image("projects/ee-pkurelab/assets/LHScat_v1/RMSE"); | ||
| var Pearsonr = ee.Image("projects/ee-pkurelab/assets/LHScat_v1/Pearsonr"); | ||
| Map.addLayer(signals_withdate,visParams_signals); |
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please add a name for each layer
| ], | ||
| extent: ee.extent_global('1992-04-01T00:00:00Z', '2021-10-01T00:00:00Z'), | ||
| summaries: { | ||
| 'gee:schema': [ |
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I see you have ingested three different datasets:
the collection at projects/ee-pkurelab/assets/LHScat_v1 and the two images projects/ee-pkurelab/assets/LHScat_v1/RMSE and projects/ee-pkurelab/assets/LHScat_v1/Pearsonr
I'll comment in email on a better structure.
| Tao, S., Chave, J., Frison, P.-L., Le Toan, T., Ciais, P., Fang, J., Wigneron, J.-P., Santoro, M., Yang, H., Li, X., Labrière, N., and Saatchi, S.: Increasing and widespread vulnerability of intact tropical rainforests to repeated droughts, Proc. Natl. Acad. Sci. USA, 119, e2116626119, https://doi.org/10.1073/pnas.2116626119, 2022.' | ||
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| 'gee:terms_of_use': ee.gee_terms_of_use(license) + '\n\n' + ||| | ||
| The LHScat dataset is publicly released by the PKURE Lab at Peking University for non-commercial use. |
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If the usage is restricted to be only non-commercial, you cannot use spdx.cc0_1_0, which is a public domain license with no restrictions. You probably want CC-BY-NC. Example: https://github.com/google/earthengine-catalog/blob/main/catalog/malariaatlasproject/projects_malariaatlasproject_assets_EVI_v061_1km_8-Daily.jsonnet#L9
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| { | |||
| "id": "ee-pkurelab", | |||
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Could you please send us catalog and logo images with the same dimensions as the ones you see in https://developers.google.com/earth-engine/datasets/publisher (catalog images) and https://developers.google.com/earth-engine/datasets/publisher/forestdatapartnership (logo image in the upper right) ?
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The LHScat dataset is the first long-term (since 1992), high-resolution (∼8.9 km) monthly satellite radar backscatter dataset over global land areas. Our team (PKURELab) has already been in contact with the official Google team. Based on the reference documentation, we have uploaded the relevant code for your review.