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
2017-07-11 11:49:46	ga_s2bm_ard_3-2-1_50KQG_2017-07-11_final.stac-item
2017-07-25 11:28:36	ga_s2bm_ard_3-2-1_51KUS_2017-07-25_final
2017-11-25 11:37:37	ga_s2bm_ard_3-2-1_51KTU_2017-11-25_final
2017-12-11 12:02:37	ga_s2bm_ard_3-2-1_49JGJ_2017-12-11_final
2018-02-23 11:40:38	ga_s2bm_ard_3-2-1_51KVU_2018-02-23_final
2018-04-20 12:04:00	ga_s2bm_ard_3-2-1_49KHP_2018-04-20_final
2018-06-13 11:37:58	ga_s2bm_ard_3-2-1_51KUS_2018-06-13_final
2018-06-20 11:34:51	ga_s2bm_ard_3-2-1_50HQG_2018-06-20_final.stac-item
2018-07-03 11:44:57	ga_s2bm_ard_3-2-1_50HNH_2018-07-03_final
2018-07-13 11:40:15	ga_s2bm_ard_3-2-1_51KVB_2018-07-13_final
2018-07-16 11:52:50	ga_s2bm_ard_3-2-1_50JMN_2018-07-16_final
2018-09-11 11:41:45	ga_s2bm_ard_3-2-1_51KUV_2018-09-11_final
2018-09-21 11:40:23	ga_s2bm_ard_3-2-1_50HPG_2018-09-21_final.stac-item
2018-10-07 12:04:33	ga_s2bm_ard_3-2-1_49JGL_2018-10-07_final
2018-10-21 11:38:40	ga_s2bm_ard_3-2-1_51KUU_2018-10-21_final
2018-10-31 11:39:52	ga_s2bm_ard_3-2-1_51KUS_2018-10-31_final
2018-10-31 11:39:52	ga_s2bm_ard_3-2-1_51KUV_2018-10-31_final
2018-10-31 11:46:25	ga_s2bm_ard_3-2-1_50HMG_2018-10-31_final.stac-item
2019-02-25 11:33:15	ga_s2bm_ard_3-2-1_51KVT_2019-02-25_final
2019-03-10 11:43:00	ga_s2bm_ard_3-2-1_51KTU_2019-03-10_final
2019-03-30 11:43:02	ga_s2bm_ard_3-2-1_51KUU_2019-03-30_final
2019-04-29 11:46:12	ga_s2bm_ard_3-2-1_50JPM_2019-04-29_final
2019-06-01 11:52:42	ga_s2bm_ard_3-2-1_50KQF_2019-06-01_final.stac-item
2019-06-02 11:24:10	ga_s2bm_ard_3-2-1_51KWQ_2019-06-02_final
2019-06-05 11:32:27	ga_s2bm_ard_3-2-1_51KVB_2019-06-05_final
2019-07-25 11:32:28	ga_s2bm_ard_3-2-1_51KVB_2019-07-25_final
2019-08-27 11:42:50	ga_s2bm_ard_3-2-1_51KUV_2019-08-27_final
2019-09-06 11:42:59	ga_s2bm_ard_3-2-1_51KVU_2019-09-06_final
2019-10-26 11:42:14	ga_s2bm_ard_3-2-1_51KVB_2019-10-26_final
2019-12-02 11:33:17	ga_s2bm_ard_3-2-1_51KUT_2019-12-02_final
2020-01-14 11:43:38	ga_s2bm_ard_3-2-1_51KUR_2020-01-14_final
2020-02-03 11:43:11	ga_s2bm_ard_3-2-1_51KTT_2020-02-03_final
2020-02-10 11:35:07	ga_s2bm_ard_3-2-1_51JVK_2020-02-10_final
2020-02-12 12:14:36	ga_s2bm_ard_3-2-1_49JGN_2020-02-12_final
2020-04-23 11:46:47	ga_s2bm_ard_3-2-1_50HNJ_2020-04-23_final
2020-07-09 11:32:51	ga_s2bm_ard_3-2-1_51KVV_2020-07-09_final
2020-08-05 11:25:27	ga_s2bm_ard_3-2-1_51JXJ_2020-08-05_final
2020-10-04 11:27:02	ga_s2bm_ard_3-2-1_51HVC_2020-10-04_final
2020-10-07 11:33:20	ga_s2bm_ard_3-2-1_51KVT_2020-10-07_final
2020-10-10 11:43:08	ga_s2bm_ard_3-2-1_50KRD_2020-10-10_final
2020-10-10 11:43:15	ga_s2bm_ard_3-2-1_51KUT_2020-10-10_final
2020-10-10 11:43:20	ga_s2bm_ard_3-2-1_51KVT_2020-10-10_final
2020-12-02 11:52:19	ga_s2bm_ard_3-2-1_50KQG_2020-12-02_final.stac-item
2021-01-11 11:53:10	ga_s2bm_ard_3-2-1_50KRC_2021-01-11_final
2021-02-20 11:53:37	ga_s2bm_ard_3-2-1_50KNB_2021-02-20_final
2021-03-06 11:34:10	ga_s2bm_ard_3-2-1_51KWP_2021-03-06_final
2021-03-29 11:42:15	ga_s2bm_ard_3-2-1_51KUB_2021-03-29_final.stac-item
2021-04-28 11:47:20	ga_s2bm_ard_3-2-1_50HMG_2021-04-28_final.stac-item
2021-05-15 11:37:02	ga_s2bm_ard_3-2-1_50HQH_2021-05-15_final
2021-05-19 11:14:52	ga_s2bm_ard_3-2-1_51JYL_2021-05-19_final
2021-05-22 11:24:15	ga_s2bm_ard_3-2-1_51KWP_2021-05-22_final
2021-05-22 11:27:02	ga_s2bm_ard_3-2-1_51HUC_2021-05-22_final
2021-06-11 11:24:16	ga_s2bm_ard_3-2-1_51KWP_2021-06-11_final
2021-07-01 11:24:16	ga_s2bm_ard_3-2-1_51KWP_2021-07-01_final
2021-07-04 11:32:48	ga_s2bm_ard_3-2-1_51KVV_2021-07-04_final
2021-07-07 11:45:19	ga_s2bm_ard_3-2-1_50JQQ_2021-07-07_final
2021-07-10 11:56:06	ga_s2bm_ard_3-2-1_50JNM_2021-07-10_final
2021-07-11 11:27:03	ga_s2bm_ard_3-2-1_51HUC_2021-07-11_final
2021-08-03 11:34:12	ga_s2bm_ard_3-2-1_51KWP_2021-08-03_final
2021-08-07 11:17:00	ga_s2bm_ard_3-2-1_51HWC_2021-08-07_final.stac-item
2021-08-13 11:32:20	ga_s2bm_ard_3-2-1_51KVB_2021-08-13_final
2021-09-02 11:33:19	ga_s2bm_ard_3-2-1_51KUT_2021-09-02_final
2021-09-05 11:42:53	ga_s2bm_ard_3-2-1_51KVU_2021-09-05_final
2021-10-02 11:32:49	ga_s2bm_ard_3-2-1_51KVV_2021-10-02_final
2022-01-07 11:23:58	ga_s2bm_ard_3-2-1_51KWQ_2022-01-07_final
2022-02-12 11:42:07	ga_s2bm_ard_3-2-1_51KVB_2022-02-12_final
2022-03-04 11:42:43	ga_s2bm_ard_3-2-1_51KUV_2022-03-04_final
2022-03-11 11:32:59	ga_s2bm_ard_3-2-1_51KVU_2022-03-11_final
2022-03-24 11:44:17	ga_s2bm_ard_3-2-1_50KQU_2022-03-24_final
2022-04-02 12:14:38	ga_s2bm_ard_3-2-1_49JGN_2022-04-02_final
2022-04-30 11:32:55	ga_s2bm_ard_3-2-1_51KVU_2022-04-30_final
2022-05-03 11:43:24	ga_s2bm_ard_3-2-1_51KUS_2022-05-03_final
2022-05-19 12:03:44	ga_s2bm_ard_3-2-1_50KKB_2022-05-19_final
2022-07-12 11:45:44	ga_s2bm_ard_3-2-1_50JNP_2022-07-12_final
2022-07-22 11:42:47	ga_s2bm_ard_3-2-1_51KVV_2022-07-22_final
2022-07-31 12:14:32	ga_s2bm_ard_3-2-1_49KGP_2022-07-31_final
2022-08-01 11:43:02	ga_s2bm_ard_3-2-1_51KVU_2022-08-01_final
2022-08-20 12:13:41	ga_s2bm_ard_3-2-1_49KHS_2022-08-20_final.stac-item
2022-08-25 11:26:29	ga_s2bm_ard_3-2-1_51HVE_2022-08-25_final
2022-09-07 11:32:48	ga_s2bm_ard_3-2-1_51KVV_2022-09-07_final.stac-item
2022-10-07 11:33:45	ga_s2bm_ard_3-2-1_51KUR_2022-10-07_final.stac-item
2022-10-17 11:33:01	ga_s2bm_ard_3-2-1_51KVU_2022-10-17_final.stac-item
2022-10-17 11:36:48	ga_s2bm_ard_3-2-1_50HQJ_2022-10-17_final.stac-item
2023-01-24 12:03:39	ga_s2bm_ard_3-2-1_50KLB_2023-01-24_final.stac-item
2023-01-28 11:43:19	ga_s2bm_ard_3-2-1_50KQC_2023-01-28_final.stac-item
2023-03-06 11:32:49	ga_s2bm_ard_3-2-1_51KVV_2023-03-06_final.stac-item
2023-03-09 11:43:08	ga_s2bm_ard_3-2-1_50KRD_2023-03-09_final.stac-item
2023-04-28 11:43:20	ga_s2bm_ard_3-2-1_51KTT_2023-04-28_final.stac-item
2023-05-28 11:42:46	ga_s2bm_ard_3-2-1_51KVV_2023-05-28_final.stac-item
2023-06-10 11:57:25	ga_s2bm_ard_3-2-1_50HMG_2023-06-10_final.stac-item
2023-06-21 11:26:30	ga_s2bm_ard_3-2-1_51HWE_2023-06-21_final.stac-item
2023-06-27 11:46:20	ga_s2bm_ard_3-2-1_50JQL_2023-06-27_final.stac-item
2023-07-04 11:34:05	ga_s2bm_ard_3-2-1_51KVQ_2023-07-04_final.stac-item
2023-07-07 11:42:33	ga_s2bm_ard_3-2-1_51KVA_2023-07-07_final.stac-item
2023-07-07 11:43:09	ga_s2bm_ard_3-2-1_51KTU_2023-07-07_final.stac-item
2023-07-07 11:46:43	ga_s2bm_ard_3-2-1_50HNK_2023-07-07_final.stac-item
2023-11-04 11:43:32	ga_s2bm_ard_3-2-1_51KUS_2023-11-04_final.stac-item
2024-01-27 11:25:08	ga_s2bm_ard_3-2-1_51JXK_2024-01-27_final.stac-item
2024-02-15 11:52:21	ga_s2bm_ard_3-2-1_50KQG_2024-02-15_final.stac-item
2024-04-16 11:24:16	ga_s2bm_ard_3-2-1_51KWP_2024-04-16_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