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
2017-08-07 11:45:07	ga_s2bm_ard_3-2-1_50HPG_2017-08-07_final.stac-item
2017-11-21 12:02:37	ga_s2bm_ard_3-2-1_50JLP_2017-11-21_final
2017-12-12 11:30:28	ga_s2bm_ard_3-2-1_51KVS_2017-12-12_final
2018-01-08 11:25:08	ga_s2bm_ard_3-2-1_51HUC_2018-01-08_final
2018-01-12 11:02:50	ga_s2bm_ard_3-2-1_52JFQ_2018-01-12_final
2018-01-20 12:02:42	ga_s2bm_ard_3-2-1_49KGP_2018-01-20_final
2018-01-22 10:57:08	ga_s2bm_ard_3-2-1_52JCP_2018-01-22_final
2018-02-06 11:49:12	ga_s2bm_ard_3-2-1_50HLG_2018-02-06_final.stac-item
2018-04-11 11:30:56	ga_s2bm_ard_3-2-1_51LXD_2018-04-11_final
2018-04-14 11:40:40	ga_s2bm_ard_3-2-1_51KVU_2018-04-14_final
2018-04-18 11:16:57	ga_s2bm_ard_3-2-1_51KYU_2018-04-18_final
2018-05-11 11:32:38	ga_s2bm_ard_3-2-1_51KUQ_2018-05-11_final
2018-06-03 11:46:44	ga_s2bm_ard_3-2-1_50HNJ_2018-06-03_final
2018-06-17 11:25:19	ga_s2bm_ard_3-2-1_51JWJ_2018-06-17_final
2018-07-30 11:31:34	ga_s2bm_ard_3-2-1_51KUP_2018-07-30_final
2018-10-01 11:44:52	ga_s2bm_ard_3-2-1_50HMH_2018-10-01_final
2018-10-25 11:23:58	ga_s2bm_ard_3-2-1_51HUD_2018-10-25_final
2018-11-07 11:35:13	ga_s2bm_ard_3-2-1_51JUK_2018-11-07_final
2018-11-14 11:23:07	ga_s2bm_ard_3-2-1_51KYT_2018-11-14_final
2018-12-26 12:03:16	ga_s2bm_ard_3-2-1_50KNC_2018-12-26_final
2019-02-05 11:34:03	ga_s2bm_ard_3-2-1_51KUQ_2019-02-05_final
2019-03-03 11:56:12	ga_s2bm_ard_3-2-1_50JKM_2019-03-03_final
2019-07-12 11:23:54	ga_s2bm_ard_3-2-1_51KYQ_2019-07-12_final
2019-07-27 12:14:17	ga_s2bm_ard_3-2-1_50KKV_2019-07-27_final
2019-07-31 11:53:29	ga_s2bm_ard_3-2-1_50KPC_2019-07-31_final
2019-08-05 11:06:28	ga_s2bm_ard_3-2-1_52HCK_2019-08-05_final.stac-item
2019-08-10 11:56:25	ga_s2bm_ard_3-2-1_50JNL_2019-08-10_final
2019-08-21 11:23:40	ga_s2bm_ard_3-2-1_52KBA_2019-08-21_final
2019-08-24 11:32:48	ga_s2bm_ard_3-2-1_51KWV_2019-08-24_final
2019-11-02 11:35:37	ga_s2bm_ard_3-2-1_50JQP_2019-11-02_final
2019-11-21 12:03:42	ga_s2bm_ard_3-2-1_50KKB_2019-11-21_final
2019-11-21 12:04:43	ga_s2bm_ard_3-2-1_49JGN_2019-11-21_final
2019-12-26 11:16:15	ga_s2bm_ard_3-2-1_52HBK_2019-12-26_final
2020-01-07 11:53:16	ga_s2bm_ard_3-2-1_50KPC_2020-01-07_final
2020-03-31 11:36:44	ga_s2bm_ard_3-2-1_51HTD_2020-03-31_final
2020-07-09 11:32:52	ga_s2bm_ard_3-2-1_51KYU_2020-07-09_final
2020-07-19 11:32:27	ga_s2bm_ard_3-2-1_51KXA_2020-07-19_final
2020-11-06 11:34:07	ga_s2bm_ard_3-2-1_51KXP_2020-11-06_final
2020-11-16 11:35:13	ga_s2bm_ard_3-2-1_51JVK_2020-11-16_final
2020-11-26 11:36:46	ga_s2bm_ard_3-2-1_51HTD_2020-11-26_final
2021-01-24 12:03:44	ga_s2bm_ard_3-2-1_50KKB_2021-01-24_final
2021-02-14 11:34:12	ga_s2bm_ard_3-2-1_51KVP_2021-02-14_final
2021-03-03 11:25:56	ga_s2bm_ard_3-2-1_51JWG_2021-03-03_final
2021-03-25 12:04:41	ga_s2bm_ard_3-2-1_49JHN_2021-03-25_final
2021-04-18 11:42:55	ga_s2bm_ard_3-2-1_51KUU_2021-04-18_final
2021-05-02 11:24:26	ga_s2bm_ard_3-2-1_51JWN_2021-05-02_final
2021-06-08 11:15:23	ga_s2bm_ard_3-2-1_52JBP_2021-06-08_final
2021-06-24 11:36:49	ga_s2bm_ard_3-2-1_50HQJ_2021-06-24_final
2021-08-25 12:15:18	ga_s2bm_ard_3-2-1_49JGK_2021-08-25_final
2021-08-26 11:42:58	ga_s2bm_ard_3-2-1_51KUU_2021-08-26_final
2021-09-19 11:22:52	ga_s2bm_ard_3-2-1_51KYU_2021-09-19_final
2021-10-04 12:13:55	ga_s2bm_ard_3-2-1_49KHR_2021-10-04_final
2021-10-11 12:04:29	ga_s2bm_ard_3-2-1_50KKU_2021-10-11_final
2021-10-19 11:26:09	ga_s2bm_ard_3-2-1_51JXF_2021-10-19_final
2021-10-25 11:46:35	ga_s2bm_ard_3-2-1_50HPK_2021-10-25_final
2021-10-29 11:26:12	ga_s2bm_ard_3-2-1_51JWF_2021-10-29_final
2021-11-30 12:04:23	ga_s2bm_ard_3-2-1_50KKU_2021-11-30_final
2021-12-11 11:36:32	ga_s2bm_ard_3-2-1_50HPK_2021-12-11_final
2022-02-06 11:22:43	ga_s2bm_ard_3-2-1_51KZU_2022-02-06_final
2022-02-26 11:23:06	ga_s2bm_ard_3-2-1_51KYT_2022-02-26_final
2022-03-11 11:33:14	ga_s2bm_ard_3-2-1_51KVT_2022-03-11_final
2022-03-15 11:13:35	ga_s2bm_ard_3-2-1_51KZR_2022-03-15_final
2022-05-20 11:35:56	ga_s2bm_ard_3-2-1_51JVG_2022-05-20_final
2022-05-23 11:43:18	ga_s2bm_ard_3-2-1_50KRC_2022-05-23_final
2022-06-09 11:33:50	ga_s2bm_ard_3-2-1_51KUR_2022-06-09_final.stac-item
2022-06-12 11:47:05	ga_s2bm_ard_3-2-1_50HPH_2022-06-12_final
2022-07-28 12:04:04	ga_s2bm_ard_3-2-1_50KKA_2022-07-28_final
2022-07-29 11:37:02	ga_s2bm_ard_3-2-1_51HUC_2022-07-29_final
2022-08-05 11:23:44	ga_s2bm_ard_3-2-1_51KYR_2022-08-05_final
2022-08-18 11:33:55	ga_s2bm_ard_3-2-1_51KXQ_2022-08-18_final
2022-08-25 11:21:40	ga_s2bm_ard_3-2-1_51LZD_2022-08-25_final
2022-09-03 11:54:04	ga_s2bm_ard_3-2-1_50KNV_2022-09-03_final.stac-item
2022-09-03 11:55:22	ga_s2bm_ard_3-2-1_50JNQ_2022-09-03_final.stac-item
2022-09-24 11:24:20	ga_s2bm_ard_3-2-1_52JBT_2022-09-24_final.stac-item
2022-11-09 11:46:36	ga_s2bm_ard_3-2-1_50HNK_2022-11-09_final.stac-item
2022-11-16 11:33:02	ga_s2bm_ard_3-2-1_51KYT_2022-11-16_final.stac-item
2022-11-26 11:32:10	ga_s2bm_ard_3-2-1_51KXB_2022-11-26_final.stac-item
2023-01-24 12:03:57	ga_s2bm_ard_3-2-1_50KKA_2023-01-24_final.stac-item
2023-01-29 11:13:26	ga_s2bm_ard_3-2-1_51KZS_2023-01-29_final.stac-item
2023-02-10 11:55:37	ga_s2bm_ard_3-2-1_50JMP_2023-02-10_final.stac-item
2023-02-27 11:46:23	ga_s2bm_ard_3-2-1_50JNL_2023-02-27_final.stac-item
2023-03-19 11:44:02	ga_s2bm_ard_3-2-1_51KUQ_2023-03-19_final.stac-item
2023-05-02 11:27:04	ga_s2bm_ard_3-2-1_51HUC_2023-05-02_final.stac-item
2023-05-03 10:55:30	ga_s2bm_ard_3-2-1_52JGN_2023-05-03_final.stac-item
2023-05-05 11:37:20	ga_s2bm_ard_3-2-1_50HQG_2023-05-05_final.stac-item
2023-06-11 11:25:11	ga_s2bm_ard_3-2-1_51JYK_2023-06-11_final.stac-item
2023-06-14 11:32:52	ga_s2bm_ard_3-2-1_51KVV_2023-06-14_final.stac-item
2023-06-26 12:14:03	ga_s2bm_ard_3-2-1_49KGR_2023-06-26_final.stac-item
2023-06-27 11:46:10	ga_s2bm_ard_3-2-1_50JPM_2023-06-27_final.stac-item
2023-07-03 12:05:31	ga_s2bm_ard_3-2-1_50JKQ_2023-07-03_final.stac-item
2023-07-28 11:16:46	ga_s2bm_ard_3-2-1_51HXD_2023-07-28_final.stac-item
2023-09-21 12:03:23	ga_s2bm_ard_3-2-1_50KNC_2023-09-21_final.stac-item
2023-09-22 11:32:47	ga_s2bm_ard_3-2-1_51KWV_2023-09-22_final.stac-item
2023-10-12 11:37:05	ga_s2bm_ard_3-2-1_50HQH_2023-10-12_final.stac-item
2023-11-10 12:03:22	ga_s2bm_ard_3-2-1_50KNC_2023-11-10_final.stac-item
2023-11-11 11:34:07	ga_s2bm_ard_3-2-1_51KXP_2023-11-11_final.stac-item
2023-12-08 11:24:16	ga_s2bm_ard_3-2-1_51KWP_2023-12-08_final.stac-item
2024-01-26 11:57:11	ga_s2bm_ard_3-2-1_50HKH_2024-01-26_nrt.stac-item
2024-02-13 11:13:30	ga_s2bm_ard_3-2-1_51KZS_2024-02-13_final.stac-item
2024-03-11 11:04:28	ga_s2bm_ard_3-2-1_52JES_2024-03-11_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