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
2017-11-05 11:37:39	ga_s2bm_ard_3-2-1_50HLH_2017-11-05_final.stac-item
2017-12-12 11:30:28	ga_s2bm_ard_3-2-1_51KWT_2017-12-12_final.stac-item
2017-12-22 11:27:17	ga_s2bm_ard_3-2-1_51KVT_2017-12-22_final.stac-item
2018-01-01 11:30:30	ga_s2bm_ard_3-2-1_51KWS_2018-01-01_final.stac-item
2018-01-10 12:02:41	ga_s2bm_ard_3-2-1_50KKB_2018-01-10_final.stac-item
2018-02-07 11:16:52	ga_s2bm_ard_3-2-1_51KXS_2018-02-07_final.stac-item
2018-02-10 11:35:47	ga_s2bm_ard_3-2-1_50HPK_2018-02-10_final.stac-item
2018-02-17 11:23:50	ga_s2bm_ard_3-2-1_51KXP_2018-02-17_final.stac-item
2018-03-02 11:30:31	ga_s2bm_ard_3-2-1_51KWU_2018-03-02_final.stac-item
2018-03-22 11:29:32	ga_s2bm_ard_3-2-1_51JXN_2018-03-22_final.stac-item
2018-03-25 11:44:34	ga_s2bm_ard_3-2-1_50JPT_2018-03-25_final.stac-item
2018-03-26 11:11:52	ga_s2bm_ard_3-2-1_51HYE_2018-03-26_final.stac-item
2018-04-01 11:35:24	ga_s2bm_ard_3-2-1_51HUE_2018-04-01_final.stac-item
2018-04-04 11:45:38	ga_s2bm_ard_3-2-1_50JNL_2018-04-04_final.stac-item
2018-04-04 11:45:38	ga_s2bm_ard_3-2-1_50JNM_2018-04-04_final.stac-item
2018-04-05 11:11:18	ga_s2bm_ard_3-2-1_51HWE_2018-04-05_final.stac-item
2018-04-05 11:11:18	ga_s2bm_ard_3-2-1_51HYE_2018-04-05_final.stac-item
2018-04-07 11:53:07	ga_s2bm_ard_3-2-1_50JLT_2018-04-07_final.stac-item
2018-04-11 11:36:20	ga_s2bm_ard_3-2-1_50JPL_2018-04-11_final.stac-item
2018-04-21 11:33:07	ga_s2bm_ard_3-2-1_51JXN_2018-04-21_final.stac-item
2018-04-24 11:41:02	ga_s2bm_ard_3-2-1_50HPH_2018-04-24_final.stac-item
2018-05-21 11:31:10	ga_s2bm_ard_3-2-1_51KUT_2018-05-21_final.stac-item
2018-06-03 11:40:10	ga_s2bm_ard_3-2-1_50HMJ_2018-06-03_final.stac-item
2018-06-30 11:33:25	ga_s2bm_ard_3-2-1_51KWR_2018-06-30_final.stac-item
2018-06-30 11:33:25	ga_s2bm_ard_3-2-1_51KWS_2018-06-30_final.stac-item
2018-09-25 11:17:51	ga_s2bm_ard_3-2-1_51KXT_2018-09-25_final.stac-item
2019-01-19 11:43:14	ga_s2bm_ard_3-2-1_51KUT_2019-01-19_final.stac-item
2019-02-05 11:33:09	ga_s2bm_ard_3-2-1_51KXT_2019-02-05_final.stac-item
2019-02-22 11:23:42	ga_s2bm_ard_3-2-1_51KXR_2019-02-22_final.stac-item
2019-03-17 11:32:45	ga_s2bm_ard_3-2-1_51KVV_2019-03-17_final.stac-item
2019-03-20 11:43:28	ga_s2bm_ard_3-2-1_51KUS_2019-03-20_final.stac-item
2019-03-27 11:32:34	ga_s2bm_ard_3-2-1_51KWA_2019-03-27_final.stac-item
2019-04-09 11:43:07	ga_s2bm_ard_3-2-1_51KTU_2019-04-09_final.stac-item
2019-04-26 11:34:03	ga_s2bm_ard_3-2-1_51KWQ_2019-04-26_final.stac-item
2019-05-23 11:24:06	ga_s2bm_ard_3-2-1_51KXQ_2019-05-23_final.stac-item
2019-06-05 11:33:09	ga_s2bm_ard_3-2-1_51KVU_2019-06-05_final.stac-item
2019-06-28 11:43:12	ga_s2bm_ard_3-2-1_51KTU_2019-06-28_final.stac-item
2019-07-05 11:33:50	ga_s2bm_ard_3-2-1_51KWR_2019-07-05_final.stac-item
2019-07-08 11:43:12	ga_s2bm_ard_3-2-1_51KTU_2019-07-08_final.stac-item
2019-07-15 11:34:09	ga_s2bm_ard_3-2-1_51KXP_2019-07-15_final.stac-item
2019-08-07 11:43:07	ga_s2bm_ard_3-2-1_51KUU_2019-08-07_final.stac-item
2019-11-22 11:33:28	ga_s2bm_ard_3-2-1_51KVS_2019-11-22_final.stac-item
2019-12-02 11:33:33	ga_s2bm_ard_3-2-1_51KXR_2019-12-02_final.stac-item
2020-01-11 11:33:40	ga_s2bm_ard_3-2-1_51KVR_2020-01-11_final.stac-item
2020-02-10 11:33:33	ga_s2bm_ard_3-2-1_51KXR_2020-02-10_final.stac-item
2020-04-10 11:33:31	ga_s2bm_ard_3-2-1_51KUS_2020-04-10_final.stac-item
2020-05-13 11:42:56	ga_s2bm_ard_3-2-1_51KVU_2020-05-13_final.stac-item
2020-07-22 11:42:18	ga_s2bm_ard_3-2-1_51KUB_2020-07-22_final
2020-07-29 11:33:25	ga_s2bm_ard_3-2-1_51KUT_2020-07-29_final.stac-item
2020-08-21 11:43:33	ga_s2bm_ard_3-2-1_51KUS_2020-08-21_final.stac-item
2020-09-07 11:36:05	ga_s2bm_ard_3-2-1_51JTG_2020-09-07_final.stac-item
2020-09-24 11:23:45	ga_s2bm_ard_3-2-1_51KXR_2020-09-24_final.stac-item
2020-10-24 11:24:01	ga_s2bm_ard_3-2-1_51KXQ_2020-10-24_final.stac-item
2020-10-24 11:26:36	ga_s2bm_ard_3-2-1_51HUE_2020-10-24_final.stac-item
2020-11-03 11:26:50	ga_s2bm_ard_3-2-1_51HUD_2020-11-03_final.stac-item
2020-12-06 11:32:53	ga_s2bm_ard_3-2-1_51KXU_2020-12-06_final.stac-item
2021-05-02 11:23:10	ga_s2bm_ard_3-2-1_51KXT_2021-05-02_final.stac-item
2021-06-17 11:47:22	ga_s2bm_ard_3-2-1_50HNG_2021-06-17_final
2021-07-17 11:42:59	ga_s2bm_ard_3-2-1_51KVU_2021-07-17_final.stac-item
2021-08-06 11:43:24	ga_s2bm_ard_3-2-1_51KUS_2021-08-06_final.stac-item
2021-09-02 11:33:13	ga_s2bm_ard_3-2-1_51KVT_2021-09-02_final.stac-item
2021-11-01 11:34:12	ga_s2bm_ard_3-2-1_51KWP_2021-11-01_final.stac-item
2021-12-18 11:23:37	ga_s2bm_ard_3-2-1_51KXR_2021-12-18_final.stac-item
2021-12-24 11:42:58	ga_s2bm_ard_3-2-1_51KTU_2021-12-24_final.stac-item
2022-01-03 11:43:11	ga_s2bm_ard_3-2-1_51KUT_2022-01-03_final.stac-item
2022-01-20 11:33:29	ga_s2bm_ard_3-2-1_51KUS_2022-01-20_final.stac-item
2022-01-30 11:33:07	ga_s2bm_ard_3-2-1_51KWT_2022-01-30_final.stac-item
2022-02-22 11:42:58	ga_s2bm_ard_3-2-1_51KTU_2022-02-22_final.stac-item
2022-02-22 11:42:59	ga_s2bm_ard_3-2-1_50KRD_2022-02-22_final.stac-item
2022-04-20 11:33:11	ga_s2bm_ard_3-2-1_51KVT_2022-04-20_final.stac-item
2022-04-20 11:33:19	ga_s2bm_ard_3-2-1_51KXS_2022-04-20_final.stac-item
2022-05-10 11:33:35	ga_s2bm_ard_3-2-1_51KXR_2022-05-10_final.stac-item
2022-05-23 11:43:04	ga_s2bm_ard_3-2-1_50KRD_2022-05-23_final.stac-item
2022-05-27 11:23:13	ga_s2bm_ard_3-2-1_51KXT_2022-05-27_final.stac-item
2022-06-09 11:33:32	ga_s2bm_ard_3-2-1_51KVS_2022-06-09_final.stac-item
2022-07-29 11:33:06	ga_s2bm_ard_3-2-1_51KVU_2022-07-29_final.stac-item
2022-08-28 11:32:58	ga_s2bm_ard_3-2-1_51KWU_2022-08-28_final.stac-item
2022-09-07 11:33:29	ga_s2bm_ard_3-2-1_51KWS_2022-09-07_final.stac-item
2022-09-10 11:42:48	ga_s2bm_ard_3-2-1_51KUV_2022-09-10_final.stac-item
2022-09-10 11:43:13	ga_s2bm_ard_3-2-1_51KVT_2022-09-10_final.stac-item
2022-12-09 11:42:24	ga_s2bm_ard_3-2-1_51KVA_2022-12-09_final.stac-item
2022-12-26 11:33:26	ga_s2bm_ard_3-2-1_51KWS_2022-12-26_final.stac-item
2023-01-21 11:53:15	ga_s2bm_ard_3-2-1_50KQC_2023-01-21_final.stac-item
2023-02-27 11:43:04	ga_s2bm_ard_3-2-1_51KTU_2023-02-27_final
2023-03-03 11:24:03	ga_s2bm_ard_3-2-1_51KWQ_2023-03-03_final
2023-04-02 11:23:46	ga_s2bm_ard_3-2-1_51KXR_2023-04-02_final
2023-04-15 11:32:59	ga_s2bm_ard_3-2-1_51KWU_2023-04-15_final
2023-05-05 11:33:41	ga_s2bm_ard_3-2-1_51KXR_2023-05-05_final
2023-07-07 11:43:23	ga_s2bm_ard_3-2-1_51KTT_2023-07-07_final
2023-08-03 11:37:26	ga_s2bm_ard_3-2-1_50HPG_2023-08-03_final
2023-08-06 11:43:08	ga_s2bm_ard_3-2-1_51KTU_2023-08-06_final
2023-08-15 12:13:45	ga_s2bm_ard_3-2-1_49KHS_2023-08-15_final
2023-08-20 11:23:18	ga_s2bm_ard_3-2-1_51KXT_2023-08-20_final
2023-09-12 11:33:02	ga_s2bm_ard_3-2-1_51KWU_2023-09-12_final
2023-10-22 11:33:40	ga_s2bm_ard_3-2-1_51KXR_2023-10-22_final
2024-01-17 11:24:14	ga_s2bm_ard_3-2-1_51KWP_2024-01-17_final
2024-02-19 11:37:02	ga_s2bm_ard_3-2-1_51HTC_2024-02-19_final
2024-02-26 11:23:56	ga_s2bm_ard_3-2-1_51KXQ_2024-02-26_final
2024-04-09 11:33:38	ga_s2bm_ard_3-2-1_51KXR_2024-04-09_final
2024-05-12 11:43:03	ga_s2bm_ard_3-2-1_51KTU_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

All years