Search ga_s2bm_ard_3 whole collection

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels.\n\nFor these ARD products, this value comes from the Fmask algorithm.\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels.\n\nFor these ARD products, this value comes from the Fmask algorithm.\n to (exclusive):

Time when dataset was created (processed) From

Time when dataset was created (processed) to (exclusive)

The raw CRS string as it appears in metadata\n\n(e.g. ‘epsg:32654’)\n:

One of - final|interim|nrt (near real time):

ID of a dataset type:

Ground sampling distance of the sensor’s best resolution band\nin metres; represents the size (or spatial resolution) of one pixel.\n from:

Ground sampling distance of the sensor’s best resolution band\nin metres; represents the size (or spatial resolution) of one pixel.\n to (exclusive):

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north\n from:

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north\n to (exclusive):

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon.\n from:

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon.\n to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm\n to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm\n to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm\n to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm\n to (exclusive):

File format (GeoTiff, NetCDF):

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Dataset UUID:

User who indexed the dataset:

When dataset was indexed:

Label:

Latitude range from:

Latitude range to (exclusive):

Longitude range from:

Longitude range to (exclusive):

Full metadata document:

Metadata type name of dataset:

ID of a metadata type:

Spatial reference code from the provider.\nFor Sentinel it is MGRS code.\n:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless\n to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless\n to (exclusive):

Unique identifier for a datastrip relative to a given Datatake.\n\n(e.g. ‘S2A_OPER_MSI_L1C_DS_SGS__20161214T040601_S20161214T005840_N02.04’)\n:

ESA product URI, with the '.SAFE' ending removed.\n\n(e.g. 'S2A_MSIL1C_20220303T000731_N0400_R073_T56LNM_20220303T012845')\n:

Granule ID according to the ESA naming convention\n\n(e.g. ‘S2A_OPER_MSI_L1C_TL_SGS__20161214T040601_A007721_T53KRB_N02.04’)\n:

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

First 100 results (query limit)

Time (local)	Label
2017-11-09 11:19:31	ga_s2bm_ard_3-2-1_51KXT_2017-11-09_final.stac-item
2017-11-12 11:27:16	ga_s2bm_ard_3-2-1_51KXT_2017-11-12_final.stac-item
2017-11-15 11:40:36	ga_s2bm_ard_3-2-1_51KVU_2017-11-15_final.stac-item
2017-11-29 11:19:33	ga_s2bm_ard_3-2-1_51KYS_2017-11-29_final.stac-item
2017-12-09 11:16:47	ga_s2bm_ard_3-2-1_51KZP_2017-12-09_final.stac-item
2017-12-09 11:16:47	ga_s2bm_ard_3-2-1_51KZQ_2017-12-09_final.stac-item
2017-12-12 11:30:28	ga_s2bm_ard_3-2-1_51KVS_2017-12-12_final.stac-item
2017-12-12 11:30:28	ga_s2bm_ard_3-2-1_51KVU_2017-12-12_final.stac-item
2017-12-12 11:30:28	ga_s2bm_ard_3-2-1_51KWP_2017-12-12_final.stac-item
2018-02-20 11:27:22	ga_s2bm_ard_3-2-1_51KWT_2018-02-20_final.stac-item
2018-04-14 11:46:05	ga_s2bm_ard_3-2-1_50HPH_2018-04-14_final.stac-item
2018-05-31 11:32:50	ga_s2bm_ard_3-2-1_51KWT_2018-05-31_final.stac-item
2018-11-10 11:43:33	ga_s2bm_ard_3-2-1_51KVR_2018-11-10_final.stac-item
2018-11-17 11:33:53	ga_s2bm_ard_3-2-1_51KWQ_2018-11-17_final.stac-item
2018-11-27 11:34:10	ga_s2bm_ard_3-2-1_51KVP_2018-11-27_final.stac-item
2018-12-04 11:23:20	ga_s2bm_ard_3-2-1_51KYS_2018-12-04_final.stac-item
2018-12-04 11:23:52	ga_s2bm_ard_3-2-1_51KXQ_2018-12-04_final.stac-item
2018-12-07 11:34:09	ga_s2bm_ard_3-2-1_51KVP_2018-12-07_final.stac-item
2018-12-10 11:43:23	ga_s2bm_ard_3-2-1_51KUS_2018-12-10_final.stac-item
2018-12-14 11:23:29	ga_s2bm_ard_3-2-1_51KZR_2018-12-14_final.stac-item
2018-12-17 11:33:54	ga_s2bm_ard_3-2-1_51KVQ_2018-12-17_final.stac-item
2019-01-03 11:23:19	ga_s2bm_ard_3-2-1_51KZS_2019-01-03_final.stac-item
2019-01-03 11:23:33	ga_s2bm_ard_3-2-1_51KZR_2019-01-03_final.stac-item
2019-01-03 11:23:41	ga_s2bm_ard_3-2-1_51KXR_2019-01-03_final.stac-item
2019-01-03 11:24:00	ga_s2bm_ard_3-2-1_51KWQ_2019-01-03_final.stac-item
2019-01-06 11:34:23	ga_s2bm_ard_3-2-1_51JWN_2019-01-06_final.stac-item
2019-01-09 11:42:44	ga_s2bm_ard_3-2-1_51KUV_2019-01-09_final.stac-item
2019-01-09 11:43:34	ga_s2bm_ard_3-2-1_51KVR_2019-01-09_final.stac-item
2019-01-13 11:23:09	ga_s2bm_ard_3-2-1_51KYT_2019-01-13_final.stac-item
2019-01-16 11:33:44	ga_s2bm_ard_3-2-1_51KVR_2019-01-16_final.stac-item
2019-01-23 11:24:04	ga_s2bm_ard_3-2-1_51KZP_2019-01-23_final.stac-item
2019-01-26 11:33:02	ga_s2bm_ard_3-2-1_51KVU_2019-01-26_final.stac-item
2019-01-29 11:43:00	ga_s2bm_ard_3-2-1_51KUU_2019-01-29_final.stac-item
2019-02-18 11:42:56	ga_s2bm_ard_3-2-1_51KVU_2019-02-18_final.stac-item
2019-02-21 11:53:07	ga_s2bm_ard_3-2-1_50KRC_2019-02-21_final.stac-item
2019-06-08 11:41:40	ga_s2bm_ard_3-2-1_51LUE_2019-06-08_final.stac-item
2019-07-18 11:43:33	ga_s2bm_ard_3-2-1_51KVS_2019-07-18_final.stac-item
2019-10-26 11:43:30	ga_s2bm_ard_3-2-1_51KUS_2019-10-26_final.stac-item
2019-11-12 11:33:21	ga_s2bm_ard_3-2-1_51KUT_2019-11-12_final.stac-item
2019-12-02 11:32:53	ga_s2bm_ard_3-2-1_51KWU_2019-12-02_final.stac-item
2019-12-02 11:33:11	ga_s2bm_ard_3-2-1_51KVT_2019-12-02_final.stac-item
2019-12-22 11:32:57	ga_s2bm_ard_3-2-1_51KYT_2019-12-22_final.stac-item
2019-12-22 11:34:12	ga_s2bm_ard_3-2-1_51KUP_2019-12-22_final.stac-item
2020-01-31 11:33:37	ga_s2bm_ard_3-2-1_51KVR_2020-01-31_final.stac-item
2020-03-04 11:43:12	ga_s2bm_ard_3-2-1_51KUT_2020-03-04_final.stac-item
2020-04-30 11:33:09	ga_s2bm_ard_3-2-1_51KWT_2020-04-30_final.stac-item
2020-10-27 11:33:41	ga_s2bm_ard_3-2-1_51KXR_2020-10-27_final.stac-item
2020-10-30 11:43:28	ga_s2bm_ard_3-2-1_51KVS_2020-10-30_final.stac-item
2020-11-06 11:34:13	ga_s2bm_ard_3-2-1_51KWP_2020-11-06_final.stac-item
2020-11-06 11:34:19	ga_s2bm_ard_3-2-1_51KUP_2020-11-06_final.stac-item
2020-11-13 11:23:29	ga_s2bm_ard_3-2-1_51KXS_2020-11-13_final.stac-item
2020-11-19 11:43:12	ga_s2bm_ard_3-2-1_51KVT_2020-11-19_final.stac-item
2020-11-20 11:16:23	ga_s2bm_ard_3-2-1_51HYE_2020-11-20_final.stac-item
2020-12-16 11:32:51	ga_s2bm_ard_3-2-1_51KXU_2020-12-16_final.stac-item
2020-12-16 11:32:54	ga_s2bm_ard_3-2-1_51KWU_2020-12-16_final.stac-item
2020-12-16 11:33:18	ga_s2bm_ard_3-2-1_51KUT_2020-12-16_final.stac-item
2020-12-26 11:32:52	ga_s2bm_ard_3-2-1_51KXU_2020-12-26_final.stac-item
2020-12-26 11:33:42	ga_s2bm_ard_3-2-1_51KVR_2020-12-26_final.stac-item
2021-01-05 11:32:53	ga_s2bm_ard_3-2-1_51KXU_2021-01-05_final.stac-item
2021-01-12 11:23:24	ga_s2bm_ard_3-2-1_51KYS_2021-01-12_final.stac-item
2021-01-18 11:43:15	ga_s2bm_ard_3-2-1_51KUT_2021-01-18_final.stac-item
2021-01-25 11:33:30	ga_s2bm_ard_3-2-1_51KVS_2021-01-25_final.stac-item
2021-02-24 11:31:19	ga_s2bm_ard_3-2-1_51LZE_2021-02-24_final.stac-item
2021-03-16 11:33:44	ga_s2bm_ard_3-2-1_51KVR_2021-03-16_final.stac-item
2021-05-08 11:41:53	ga_s2bm_ard_3-2-1_51LWC_2021-05-08_final.stac-item
2021-10-15 11:42:10	ga_s2bm_ard_3-2-1_51KWB_2021-10-15_final.stac-item
2021-10-15 11:44:14	ga_s2bm_ard_3-2-1_51KUP_2021-10-15_final.stac-item
2021-11-11 11:33:56	ga_s2bm_ard_3-2-1_51KWQ_2021-11-11_final.stac-item
2021-12-01 11:33:34	ga_s2bm_ard_3-2-1_51KXR_2021-12-01_final.stac-item
2021-12-01 11:34:13	ga_s2bm_ard_3-2-1_51KUP_2021-12-01_final.stac-item
2021-12-21 11:33:18	ga_s2bm_ard_3-2-1_51KXS_2021-12-21_final.stac-item
2021-12-21 11:33:22	ga_s2bm_ard_3-2-1_51KWS_2021-12-21_final.stac-item
2021-12-24 11:43:06	ga_s2bm_ard_3-2-1_51KVT_2021-12-24_final.stac-item
2021-12-31 11:33:59	ga_s2bm_ard_3-2-1_51KUQ_2021-12-31_final.stac-item
2022-01-03 11:43:25	ga_s2bm_ard_3-2-1_51KUS_2022-01-03_final.stac-item
2022-01-27 11:23:51	ga_s2bm_ard_3-2-1_51KXQ_2022-01-27_final.stac-item
2022-01-30 11:33:21	ga_s2bm_ard_3-2-1_51KWS_2022-01-30_final.stac-item
2022-03-05 11:16:17	ga_s2bm_ard_3-2-1_52HBK_2022-03-05_final.stac-item
2022-07-02 11:43:20	ga_s2bm_ard_3-2-1_51KUT_2022-07-02_final.stac-item
2022-09-10 11:41:57	ga_s2bm_ard_3-2-1_51LWC_2022-09-10_final.stac-item
2022-10-27 11:33:55	ga_s2bm_ard_3-2-1_51KWQ_2022-10-27_final.stac-item
2022-12-16 11:33:29	ga_s2bm_ard_3-2-1_51KVS_2022-12-16_final.stac-item
2023-01-05 11:34:01	ga_s2bm_ard_3-2-1_51KUQ_2023-01-05_final.stac-item
2023-01-15 11:33:27	ga_s2bm_ard_3-2-1_51KVS_2023-01-15_final.stac-item
2023-02-04 11:34:34	ga_s2bm_ard_3-2-1_50JRT_2023-02-04_final.stac-item
2023-03-09 11:41:37	ga_s2bm_ard_3-2-1_51LUE_2023-03-09_final
2023-03-09 11:43:33	ga_s2bm_ard_3-2-1_51KUS_2023-03-09_final
2023-04-05 11:33:45	ga_s2bm_ard_3-2-1_51KWR_2023-04-05_final
2023-09-12 11:32:23	ga_s2bm_ard_3-2-1_51KVB_2023-09-12_final
2023-10-31 12:05:31	ga_s2bm_ard_3-2-1_49JGK_2023-10-31_final
2023-11-08 11:23:30	ga_s2bm_ard_3-2-1_51KXS_2023-11-08_final
2023-12-04 11:47:11	ga_s2bm_ard_3-2-1_50HLH_2023-12-04_final
2023-12-10 12:05:25	ga_s2bm_ard_3-2-1_49JGK_2023-12-10_final
2023-12-21 11:33:42	ga_s2bm_ard_3-2-1_51KWR_2023-12-21_final
2023-12-21 11:33:57	ga_s2bm_ard_3-2-1_51KWQ_2023-12-21_final
2024-01-20 11:33:55	ga_s2bm_ard_3-2-1_51KWQ_2024-01-20_final
2024-02-06 11:23:42	ga_s2bm_ard_3-2-1_51KXR_2024-02-06_final
2024-02-29 11:32:53	ga_s2bm_ard_3-2-1_51KXU_2024-02-29_final
2024-05-02 11:43:03	ga_s2bm_ard_3-2-1_51KTU_2024-05-02_final
2024-05-12 11:43:15	ga_s2bm_ard_3-2-1_51KUT_2024-05-12_interim

Return to ga_s2bm_ard_3 whole collection overview

ga_s2bm_ard_3: Geoscience Australia Sentinel 2B MSI Analysis Ready Data Collection 3

Baseline satellite data

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

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