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
2017-08-13 12:02:47	ga_s2bm_ard_3-2-1_49KGP_2017-08-13_final
2017-09-22 12:02:37	ga_s2bm_ard_3-2-1_49KHP_2017-09-22_final
2017-11-06 11:13:39	ga_s2bm_ard_3-2-1_52JBR_2017-11-06_final
2017-12-02 11:27:18	ga_s2bm_ard_3-2-1_51KXU_2017-12-02_final
2017-12-29 11:16:48	ga_s2bm_ard_3-2-1_51JYK_2017-12-29_final
2018-01-15 11:11:53	ga_s2bm_ard_3-2-1_52JBN_2018-01-15_final
2018-01-28 11:19:38	ga_s2bm_ard_3-2-1_51JZN_2018-01-28_final
2018-02-07 11:16:52	ga_s2bm_ard_3-2-1_51JVF_2018-02-07_final
2018-02-10 11:30:33	ga_s2bm_ard_3-2-1_51KUS_2018-02-10_final
2018-04-10 12:04:57	ga_s2bm_ard_3-2-1_49JGJ_2018-04-10_final
2018-04-11 11:30:56	ga_s2bm_ard_3-2-1_51KUT_2018-04-11_final
2018-05-28 11:21:19	ga_s2bm_ard_3-2-1_51KYS_2018-05-28_final
2018-08-09 11:30:50	ga_s2bm_ard_3-2-1_50HPJ_2018-08-09_final
2018-08-29 11:30:45	ga_s2bm_ard_3-2-1_50HPJ_2018-08-29_final
2018-11-26 12:04:24	ga_s2bm_ard_3-2-1_50KKU_2018-11-26_final
2019-01-23 11:25:46	ga_s2bm_ard_3-2-1_51JVH_2019-01-23_final
2019-01-26 11:34:58	ga_s2bm_ard_3-2-1_51JVL_2019-01-26_final
2019-04-12 11:55:03	ga_s2bm_ard_3-2-1_50JLS_2019-04-12_final
2019-05-16 11:37:15	ga_s2bm_ard_3-2-1_50HPH_2019-05-16_final
2019-06-09 11:15:55	ga_s2bm_ard_3-2-1_52JCM_2019-06-09_final
2019-06-14 12:06:17	ga_s2bm_ard_3-2-1_50JKM_2019-06-14_final
2019-07-08 11:44:43	ga_s2bm_ard_3-2-1_50JQT_2019-07-08_final
2019-07-27 12:14:21	ga_s2bm_ard_3-2-1_49KGQ_2019-07-27_final
2019-08-03 12:04:50	ga_s2bm_ard_3-2-1_50JKT_2019-08-03_final
2019-09-20 11:26:04	ga_s2bm_ard_3-2-1_51JUG_2019-09-20_final
2019-11-22 11:32:55	ga_s2bm_ard_3-2-1_51KWU_2019-11-22_final
2019-11-29 11:24:54	ga_s2bm_ard_3-2-1_51JWL_2019-11-29_final
2020-01-07 11:53:30	ga_s2bm_ard_3-2-1_50KPB_2020-01-07_final
2020-02-17 11:24:51	ga_s2bm_ard_3-2-1_51JXL_2020-02-17_final
2020-03-01 11:32:38	ga_s2bm_ard_3-2-1_51KWV_2020-03-01_final
2020-05-11 11:04:34	ga_s2bm_ard_3-2-1_52JDS_2020-05-11_final
2020-05-20 11:31:57	ga_s2bm_ard_3-2-1_51LXC_2020-05-20_final
2020-06-02 11:44:32	ga_s2bm_ard_3-2-1_51JTN_2020-06-02_final
2020-06-26 11:24:46	ga_s2bm_ard_3-2-1_52JBR_2020-06-26_final
2020-07-06 11:26:17	ga_s2bm_ard_3-2-1_51JVF_2020-07-06_final
2020-08-11 11:42:31	ga_s2bm_ard_3-2-1_51KVA_2020-08-11_final
2020-11-03 11:24:00	ga_s2bm_ard_3-2-1_51KXQ_2020-11-03_final
2020-12-09 11:47:11	ga_s2bm_ard_3-2-1_50HNH_2020-12-09_final
2021-01-21 11:54:13	ga_s2bm_ard_3-2-1_50KQU_2021-01-21_final
2021-01-22 11:25:34	ga_s2bm_ard_3-2-1_51JYH_2021-01-22_final
2021-01-29 11:14:09	ga_s2bm_ard_3-2-1_51KZP_2021-01-29_final
2021-02-08 11:15:50	ga_s2bm_ard_3-2-1_52JBM_2021-02-08_final
2021-02-20 11:53:19	ga_s2bm_ard_3-2-1_50KPC_2021-02-20_final
2021-03-19 11:41:54	ga_s2bm_ard_3-2-1_51LWC_2021-03-19_final
2021-03-23 11:26:28	ga_s2bm_ard_3-2-1_51HVE_2021-03-23_final
2021-04-12 11:26:40	ga_s2bm_ard_3-2-1_51HVD_2021-04-12_final
2021-04-12 11:26:44	ga_s2bm_ard_3-2-1_51HUD_2021-04-12_final
2021-05-05 11:33:28	ga_s2bm_ard_3-2-1_51KVS_2021-05-05_final
2021-05-24 12:06:15	ga_s2bm_ard_3-2-1_50JKM_2021-05-24_final
2021-06-01 11:26:44	ga_s2bm_ard_3-2-1_51HVD_2021-06-01_final
2021-06-21 11:26:48	ga_s2bm_ard_3-2-1_51HUD_2021-06-21_final
2021-06-27 11:43:19	ga_s2bm_ard_3-2-1_51KTT_2021-06-27_final
2021-07-04 11:36:33	ga_s2bm_ard_3-2-1_51HTE_2021-07-04_final
2021-07-07 11:47:16	ga_s2bm_ard_3-2-1_50HLH_2021-07-07_final
2021-07-27 11:44:33	ga_s2bm_ard_3-2-1_51JTN_2021-07-27_final
2021-10-09 11:26:30	ga_s2bm_ard_3-2-1_51HVE_2021-10-09_final
2021-10-11 12:05:56	ga_s2bm_ard_3-2-1_50JKN_2021-10-11_final
2021-11-02 11:04:37	ga_s2bm_ard_3-2-1_52JDS_2021-11-02_final
2021-11-20 12:03:53	ga_s2bm_ard_3-2-1_50KLA_2021-11-20_final
2021-12-05 11:16:36	ga_s2bm_ard_3-2-1_51HXD_2021-12-05_final
2021-12-21 11:36:07	ga_s2bm_ard_3-2-1_51JTF_2021-12-21_final
2022-01-27 11:23:07	ga_s2bm_ard_3-2-1_51KXT_2022-01-27_final
2022-02-02 11:43:27	ga_s2bm_ard_3-2-1_50KRB_2022-02-02_final
2022-02-15 11:55:09	ga_s2bm_ard_3-2-1_50JPQ_2022-02-15_final
2022-02-26 11:26:25	ga_s2bm_ard_3-2-1_51HVE_2022-02-26_final
2022-04-19 12:04:33	ga_s2bm_ard_3-2-1_50JLT_2022-04-19_final
2022-05-07 11:25:30	ga_s2bm_ard_3-2-1_51JYH_2022-05-07_final
2022-05-30 11:33:30	ga_s2bm_ard_3-2-1_51KVS_2022-05-30_final
2022-05-30 11:34:10	ga_s2bm_ard_3-2-1_51KWP_2022-05-30_final
2022-06-15 11:54:41	ga_s2bm_ard_3-2-1_50JNT_2022-06-15_final
2022-06-19 11:36:51	ga_s2bm_ard_3-2-1_51HTD_2022-06-19_final
2022-08-01 11:44:39	ga_s2bm_ard_3-2-1_50JQT_2022-08-01_final
2022-08-21 11:46:57	ga_s2bm_ard_3-2-1_50HMJ_2022-08-21_final
2022-09-07 11:36:48	ga_s2bm_ard_3-2-1_51HTD_2022-09-07_final.stac-item
2022-09-07 11:37:08	ga_s2bm_ard_3-2-1_50HPH_2022-09-07_final.stac-item
2022-10-07 11:36:58	ga_s2bm_ard_3-2-1_51HTC_2022-10-07_final.stac-item
2022-11-05 12:06:08	ga_s2bm_ard_3-2-1_50JKM_2022-11-05_final.stac-item
2022-11-23 11:22:55	ga_s2bm_ard_3-2-1_51KYU_2022-11-23_final.stac-item
2022-12-06 11:36:49	ga_s2bm_ard_3-2-1_50HPJ_2022-12-06_final.stac-item
2023-01-28 11:42:25	ga_s2bm_ard_3-2-1_51KVA_2023-01-28_final.stac-item
2023-03-26 11:34:28	ga_s2bm_ard_3-2-1_51JWN_2023-03-26_final.stac-item
2023-03-29 11:44:52	ga_s2bm_ard_3-2-1_50JQS_2023-03-29_final.stac-item
2023-04-12 11:23:29	ga_s2bm_ard_3-2-1_51KXS_2023-04-12_final.stac-item
2023-04-16 11:06:36	ga_s2bm_ard_3-2-1_52HBJ_2023-04-16_nrt.stac-item
2023-05-02 11:23:12	ga_s2bm_ard_3-2-1_51KYT_2023-05-02_final.stac-item
2023-07-11 11:27:03	ga_s2bm_ard_3-2-1_51HVC_2023-07-11_final.stac-item
2023-07-26 12:15:25	ga_s2bm_ard_3-2-1_49JGK_2023-07-26_final.stac-item
2023-07-30 11:56:05	ga_s2bm_ard_3-2-1_50JKN_2023-07-30_final.stac-item
2023-08-04 11:06:08	ga_s2bm_ard_3-2-1_52JDL_2023-08-04_final.stac-item
2023-11-28 11:24:26	ga_s2bm_ard_3-2-1_51JWN_2023-11-28_final.stac-item
2024-01-23 11:42:12	ga_s2bm_ard_3-2-1_51KVB_2024-01-23_final.stac-item
2024-03-01 11:06:08	ga_s2bm_ard_3-2-1_52JBL_2024-03-01_final.stac-item
2024-03-20 11:31:48	ga_s2bm_ard_3-2-1_51LYC_2024-03-20_final.stac-item
2024-03-24 11:14:09	ga_s2bm_ard_3-2-1_51KZP_2024-03-24_final.stac-item
2024-04-18 12:05:56	ga_s2bm_ard_3-2-1_50JKN_2024-04-18_final.stac-item
2024-04-29 11:31:52	ga_s2bm_ard_3-2-1_51LWC_2024-04-29_final.stac-item
2024-05-06 11:26:48	ga_s2bm_ard_3-2-1_51HUD_2024-05-06_final.stac-item
2024-05-13 11:13:54	ga_s2bm_ard_3-2-1_51KZQ_2024-05-13_final.stac-item
2024-05-29 11:33:09	ga_s2bm_ard_3-2-1_51KXT_2024-05-29_nrt.stac-item
2024-06-08 11:36:20	ga_s2bm_ard_3-2-1_51JTF_2024-06-08_nrt.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