Search ga_s2bm_ard_3 whole collection

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

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. 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 (e.g. ‘epsg:32654’) :

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

ID of a dataset type:

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

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

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

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

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

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

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

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

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

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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. For Sentinel it is MGRS code. :

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

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

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

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

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

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

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

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

First 100 results (query limit)

Time (local)	Label
2017-09-03 11:30:07	ga_s2bm_ard_3-2-1_51KVS_2017-09-03_final
2017-10-13 11:30:03	ga_s2bm_ard_3-2-1_51KVU_2017-10-13_final
2017-11-05 11:37:39	ga_s2bm_ard_3-2-1_51KUV_2017-11-05_final
2018-01-01 11:30:30	ga_s2bm_ard_3-2-1_51KWP_2018-01-01_final
2018-01-04 11:37:43	ga_s2bm_ard_3-2-1_51KWB_2018-01-04_final
2018-01-21 11:30:33	ga_s2bm_ard_3-2-1_51KWT_2018-01-21_final
2018-02-09 12:02:42	ga_s2bm_ard_3-2-1_49JGM_2018-02-09_final
2018-03-02 11:30:31	ga_s2bm_ard_3-2-1_51KWS_2018-03-02_final
2018-05-31 11:32:50	ga_s2bm_ard_3-2-1_51KUT_2018-05-31_final
2018-07-26 11:52:57	ga_s2bm_ard_3-2-1_50JLN_2018-07-26_final
2018-08-25 11:52:52	ga_s2bm_ard_3-2-1_50HMG_2018-08-25_final.stac-item
2018-09-11 11:41:45	ga_s2bm_ard_3-2-1_51KVT_2018-09-11_final
2018-10-21 11:38:40	ga_s2bm_ard_3-2-1_51KWB_2018-10-21_final
2018-11-07 11:32:41	ga_s2bm_ard_3-2-1_51KWV_2018-11-07_final
2018-11-27 11:34:14	ga_s2bm_ard_3-2-1_51KUP_2018-11-27_final
2018-12-27 11:32:11	ga_s2bm_ard_3-2-1_51KWB_2018-12-27_final
2018-12-27 11:33:38	ga_s2bm_ard_3-2-1_51KWR_2018-12-27_final
2019-03-17 11:33:14	ga_s2bm_ard_3-2-1_51KVT_2019-03-17_final
2019-04-12 11:57:14	ga_s2bm_ard_3-2-1_50HLH_2019-04-12_final
2019-04-19 11:42:52	ga_s2bm_ard_3-2-1_51KUV_2019-04-19_final
2019-06-02 11:24:05	ga_s2bm_ard_3-2-1_51KXQ_2019-06-02_final
2019-06-25 11:33:10	ga_s2bm_ard_3-2-1_51KVU_2019-06-25_final
2019-07-18 11:43:52	ga_s2bm_ard_3-2-1_51KUR_2019-07-18_final
2019-08-17 11:42:23	ga_s2bm_ard_3-2-1_51KUB_2019-08-17_final.stac-item
2019-09-03 11:33:59	ga_s2bm_ard_3-2-1_51KWQ_2019-09-03_final
2019-09-26 11:42:13	ga_s2bm_ard_3-2-1_51KVB_2019-09-26_final
2019-11-25 11:42:42	ga_s2bm_ard_3-2-1_51KUV_2019-11-25_final
2019-11-25 11:42:57	ga_s2bm_ard_3-2-1_51KUU_2019-11-25_final
2019-12-08 11:52:14	ga_s2bm_ard_3-2-1_50KQG_2019-12-08_final.stac-item
2020-01-01 11:33:48	ga_s2bm_ard_3-2-1_51KXQ_2020-01-01_final
2020-01-11 11:32:14	ga_s2bm_ard_3-2-1_51KVB_2020-01-11_final
2020-02-03 11:42:50	ga_s2bm_ard_3-2-1_51KVU_2020-02-03_final
2020-02-10 11:34:12	ga_s2bm_ard_3-2-1_51KUP_2020-02-10_final
2020-02-13 11:42:52	ga_s2bm_ard_3-2-1_51KVU_2020-02-13_final
2020-02-19 12:05:37	ga_s2bm_ard_3-2-1_50JKP_2020-02-19_final
2020-02-23 11:42:39	ga_s2bm_ard_3-2-1_51KVV_2020-02-23_final
2020-02-23 11:43:55	ga_s2bm_ard_3-2-1_51KUQ_2020-02-23_final
2020-03-04 11:43:09	ga_s2bm_ard_3-2-1_51KVT_2020-03-04_final
2020-03-27 11:53:15	ga_s2bm_ard_3-2-1_50KQC_2020-03-27_final
2020-04-20 11:33:47	ga_s2bm_ard_3-2-1_51KXQ_2020-04-20_final
2020-07-16 11:24:03	ga_s2bm_ard_3-2-1_51KWQ_2020-07-16_final
2020-08-04 11:52:37	ga_s2bm_ard_3-2-1_50KQF_2020-08-04_final.stac-item
2020-11-13 11:23:58	ga_s2bm_ard_3-2-1_51KXQ_2020-11-13_final
2020-12-19 11:42:41	ga_s2bm_ard_3-2-1_51KUV_2020-12-19_final
2020-12-26 11:34:00	ga_s2bm_ard_3-2-1_51KUQ_2020-12-26_final
2021-01-25 11:36:43	ga_s2bm_ard_3-2-1_51HUD_2021-01-25_final
2021-03-16 11:34:05	ga_s2bm_ard_3-2-1_51KXP_2021-03-16_final
2021-03-26 11:34:31	ga_s2bm_ard_3-2-1_51JUN_2021-03-26_final
2021-03-26 11:36:56	ga_s2bm_ard_3-2-1_51HUC_2021-03-26_final
2021-06-07 11:43:59	ga_s2bm_ard_3-2-1_51KUQ_2021-06-07_final
2021-07-01 11:24:16	ga_s2bm_ard_3-2-1_51KWP_2021-07-01_final
2021-07-11 11:24:17	ga_s2bm_ard_3-2-1_51KWP_2021-07-11_final
2021-07-31 11:23:59	ga_s2bm_ard_3-2-1_51KXQ_2021-07-31_final
2021-08-16 11:42:13	ga_s2bm_ard_3-2-1_51KVB_2021-08-16_final
2021-08-23 11:33:21	ga_s2bm_ard_3-2-1_51KUT_2021-08-23_final
2021-11-11 11:32:25	ga_s2bm_ard_3-2-1_51KXA_2021-11-11_final
2021-12-21 11:32:24	ga_s2bm_ard_3-2-1_51KWA_2021-12-21_final
2021-12-21 11:33:11	ga_s2bm_ard_3-2-1_51KVT_2021-12-21_final
2022-01-13 11:42:05	ga_s2bm_ard_3-2-1_51KWB_2022-01-13_final
2022-01-19 12:03:54	ga_s2bm_ard_3-2-1_49KHR_2022-01-19_final
2022-01-23 11:44:08	ga_s2bm_ard_3-2-1_51KUP_2022-01-23_final
2022-02-19 11:32:13	ga_s2bm_ard_3-2-1_51KVB_2022-02-19_final
2022-03-18 11:27:00	ga_s2bm_ard_3-2-1_51HUC_2022-03-18_final
2022-03-21 11:33:54	ga_s2bm_ard_3-2-1_51KWQ_2022-03-21_final
2022-03-24 11:43:01	ga_s2bm_ard_3-2-1_51KTU_2022-03-24_final
2022-03-28 11:24:41	ga_s2bm_ard_3-2-1_51JWM_2022-03-28_final
2022-03-31 11:33:27	ga_s2bm_ard_3-2-1_51KVS_2022-03-31_final
2022-04-03 11:42:42	ga_s2bm_ard_3-2-1_51KUV_2022-04-03_final
2022-04-20 11:33:52	ga_s2bm_ard_3-2-1_51KWQ_2022-04-20_final
2022-06-12 11:43:21	ga_s2bm_ard_3-2-1_51KTT_2022-06-12_final
2022-07-02 11:43:30	ga_s2bm_ard_3-2-1_51KVS_2022-07-02_final
2022-07-06 11:24:20	ga_s2bm_ard_3-2-1_51KWP_2022-07-06_final
2022-09-07 11:33:36	ga_s2bm_ard_3-2-1_51KUS_2022-09-07_final.stac-item
2022-11-09 11:43:03	ga_s2bm_ard_3-2-1_50KRD_2022-11-09_final.stac-item
2022-11-16 11:33:22	ga_s2bm_ard_3-2-1_51KUT_2022-11-16_final.stac-item
2022-12-02 11:53:19	ga_s2bm_ard_3-2-1_50KPC_2022-12-02_final.stac-item
2022-12-03 11:23:55	ga_s2bm_ard_3-2-1_51KXQ_2022-12-03_final.stac-item
2022-12-06 11:33:19	ga_s2bm_ard_3-2-1_51KUT_2022-12-06_final.stac-item
2023-02-11 11:23:41	ga_s2bm_ard_3-2-1_51KXR_2023-02-11_final.stac-item
2023-04-15 11:33:17	ga_s2bm_ard_3-2-1_51KVT_2023-04-15_final.stac-item
2023-04-22 11:23:59	ga_s2bm_ard_3-2-1_51KXQ_2023-04-22_final.stac-item
2023-06-10 11:57:00	ga_s2bm_ard_3-2-1_50HLJ_2023-06-10_final.stac-item
2023-06-21 11:24:45	ga_s2bm_ard_3-2-1_51JXM_2023-06-21_final.stac-item
2023-06-27 11:46:24	ga_s2bm_ard_3-2-1_50JPL_2023-06-27_final.stac-item
2023-08-13 11:33:44	ga_s2bm_ard_3-2-1_51KXR_2023-08-13_final.stac-item
2023-09-25 11:42:16	ga_s2bm_ard_3-2-1_51KVB_2023-09-25_final.stac-item
2023-10-05 11:43:29	ga_s2bm_ard_3-2-1_51KUS_2023-10-05_final.stac-item
2023-11-04 11:43:03	ga_s2bm_ard_3-2-1_51KUU_2023-11-04_final.stac-item
2023-11-28 11:24:15	ga_s2bm_ard_3-2-1_51JZN_2023-11-28_final.stac-item
2023-11-28 11:24:37	ga_s2bm_ard_3-2-1_51JXM_2023-11-28_final.stac-item
2023-12-10 12:04:57	ga_s2bm_ard_3-2-1_49JGM_2023-12-10_final.stac-item
2023-12-14 11:43:10	ga_s2bm_ard_3-2-1_51KVT_2023-12-14_final.stac-item
2023-12-27 11:56:52	ga_s2bm_ard_3-2-1_50HMJ_2023-12-27_final.stac-item
2024-02-02 11:46:49	ga_s2bm_ard_3-2-1_50HNJ_2024-02-02_final.stac-item
2024-02-12 11:43:25	ga_s2bm_ard_3-2-1_51KVS_2024-02-12_final.stac-item
2024-02-25 11:55:41	ga_s2bm_ard_3-2-1_50JLP_2024-02-25_final.stac-item
2024-03-17 11:24:14	ga_s2bm_ard_3-2-1_51KWP_2024-03-17_final.stac-item
2024-03-20 11:33:56	ga_s2bm_ard_3-2-1_51KWQ_2024-03-20_final.stac-item
2024-03-29 12:03:20	ga_s2bm_ard_3-2-1_50KNC_2024-03-29_final.stac-item
2024-04-12 11:46:43	ga_s2bm_ard_3-2-1_50HQJ_2024-04-12_final.stac-item

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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years