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
2017-08-28 11:11:56	ga_s2bm_ard_3-2-1_51JXH_2017-08-28_final
2017-12-05 11:40:37	ga_s2bm_ard_3-2-1_50JQR_2017-12-05_final
2018-02-20 11:27:22	ga_s2bm_ard_3-2-1_51KVR_2018-02-20_final
2018-06-20 11:34:51	ga_s2bm_ard_3-2-1_50HQK_2018-06-20_final
2018-08-30 11:00:32	ga_s2bm_ard_3-2-1_52KEV_2018-08-30_final
2018-10-01 11:44:52	ga_s2bm_ard_3-2-1_50JPL_2018-10-01_final
2018-11-10 11:45:30	ga_s2bm_ard_3-2-1_50JQP_2018-11-10_final
2018-12-04 11:23:16	ga_s2bm_ard_3-2-1_51KZS_2018-12-04_final
2018-12-06 12:05:35	ga_s2bm_ard_3-2-1_50JKP_2018-12-06_final
2018-12-10 11:43:09	ga_s2bm_ard_3-2-1_51KUT_2018-12-10_final
2018-12-16 12:05:02	ga_s2bm_ard_3-2-1_50JLR_2018-12-16_final
2019-01-06 11:31:41	ga_s2bm_ard_3-2-1_51LXD_2019-01-06_final
2019-03-14 11:24:34	ga_s2bm_ard_3-2-1_51JYM_2019-03-14_final
2019-04-20 11:14:15	ga_s2bm_ard_3-2-1_52KBU_2019-04-20_final
2019-04-30 11:13:48	ga_s2bm_ard_3-2-1_51KZR_2019-04-30_final
2019-05-16 11:37:15	ga_s2bm_ard_3-2-1_50HPH_2019-05-16_final
2019-06-21 11:53:43	ga_s2bm_ard_3-2-1_50KPB_2019-06-21_final
2019-07-11 11:53:26	ga_s2bm_ard_3-2-1_50KQC_2019-07-11_final
2019-07-12 11:24:35	ga_s2bm_ard_3-2-1_51JXN_2019-07-12_final
2019-08-04 11:33:24	ga_s2bm_ard_3-2-1_51KVT_2019-08-04_final
2019-10-23 11:33:31	ga_s2bm_ard_3-2-1_51KVS_2019-10-23_final
2019-12-02 11:32:27	ga_s2bm_ard_3-2-1_51KVA_2019-12-02_final
2020-01-01 11:33:04	ga_s2bm_ard_3-2-1_51KXT_2020-01-01_final
2020-02-01 11:03:20	ga_s2bm_ard_3-2-1_52KGA_2020-02-01_final
2020-03-02 11:05:31	ga_s2bm_ard_3-2-1_52JDN_2020-03-02_final
2020-04-19 12:05:10	ga_s2bm_ard_3-2-1_49JGL_2020-04-19_final
2020-07-19 11:34:33	ga_s2bm_ard_3-2-1_51JUN_2020-07-19_final
2020-08-06 10:56:07	ga_s2bm_ard_3-2-1_52JEL_2020-08-06_final
2020-08-11 11:45:28	ga_s2bm_ard_3-2-1_50JNQ_2020-08-11_final
2020-10-04 11:25:13	ga_s2bm_ard_3-2-1_51JXK_2020-10-04_final
2020-11-26 11:33:48	ga_s2bm_ard_3-2-1_51KUR_2020-11-26_final
2020-12-09 11:43:30	ga_s2bm_ard_3-2-1_51KTS_2020-12-09_final
2020-12-10 11:13:27	ga_s2bm_ard_3-2-1_52KEA_2020-12-10_final
2020-12-10 11:16:56	ga_s2bm_ard_3-2-1_51HWC_2020-12-10_final.stac-item
2020-12-23 11:21:51	ga_s2bm_ard_3-2-1_51LZC_2020-12-23_final
2021-01-02 11:27:00	ga_s2bm_ard_3-2-1_51HUC_2021-01-02_final
2021-02-11 11:24:07	ga_s2bm_ard_3-2-1_51KYP_2021-02-11_final
2021-02-14 11:31:40	ga_s2bm_ard_3-2-1_51LXD_2021-02-14_final
2021-04-01 11:56:53	ga_s2bm_ard_3-2-1_50HLJ_2021-04-01_final
2021-05-05 11:34:46	ga_s2bm_ard_3-2-1_51JTM_2021-05-05_final
2021-06-03 12:04:22	ga_s2bm_ard_3-2-1_49KHQ_2021-06-03_final
2021-06-10 11:53:58	ga_s2bm_ard_3-2-1_50KNA_2021-06-10_final
2021-06-14 11:33:14	ga_s2bm_ard_3-2-1_51KWT_2021-06-14_final
2021-06-17 11:43:12	ga_s2bm_ard_3-2-1_51KVT_2021-06-17_final
2021-06-18 11:13:40	ga_s2bm_ard_3-2-1_52KBA_2021-06-18_final
2021-06-24 11:36:11	ga_s2bm_ard_3-2-1_51JVF_2021-06-24_final
2021-06-30 11:57:10	ga_s2bm_ard_3-2-1_50HLH_2021-06-30_final
2021-07-05 11:04:23	ga_s2bm_ard_3-2-1_52JDT_2021-07-05_final
2021-07-27 11:46:36	ga_s2bm_ard_3-2-1_50HPK_2021-07-27_final
2021-08-23 11:37:02	ga_s2bm_ard_3-2-1_50HQH_2021-08-23_final
2021-10-06 11:16:41	ga_s2bm_ard_3-2-1_51HXD_2021-10-06_final
2022-01-24 11:11:31	ga_s2bm_ard_3-2-1_52LDJ_2022-01-24_final
2022-01-30 11:33:17	ga_s2bm_ard_3-2-1_51KXS_2022-01-30_final
2022-02-15 11:54:31	ga_s2bm_ard_3-2-1_50JNT_2022-02-15_final
2022-03-18 11:22:38	ga_s2bm_ard_3-2-1_51KZV_2022-03-18_final
2022-03-31 11:37:03	ga_s2bm_ard_3-2-1_50HPH_2022-03-31_final
2022-04-03 11:46:19	ga_s2bm_ard_3-2-1_50JNL_2022-04-03_final
2022-04-23 11:43:06	ga_s2bm_ard_3-2-1_51KVT_2022-04-23_final
2022-04-27 11:24:05	ga_s2bm_ard_3-2-1_51KXP_2022-04-27_final
2022-05-18 10:54:44	ga_s2bm_ard_3-2-1_52JGR_2022-05-18_final
2022-05-18 10:55:45	ga_s2bm_ard_3-2-1_52JFM_2022-05-18_final
2022-06-09 11:36:19	ga_s2bm_ard_3-2-1_51JTF_2022-06-09_final
2022-06-15 11:54:29	ga_s2bm_ard_3-2-1_50KMU_2022-06-15_final
2022-06-16 11:25:09	ga_s2bm_ard_3-2-1_51JYK_2022-06-16_final
2022-06-29 11:36:39	ga_s2bm_ard_3-2-1_50HQK_2022-06-29_final
2022-06-30 11:02:17	ga_s2bm_ard_3-2-1_52KHF_2022-06-30_final
2022-06-30 11:05:39	ga_s2bm_ard_3-2-1_52JDN_2022-06-30_final
2022-07-22 11:44:25	ga_s2bm_ard_3-2-1_50KQU_2022-07-22_final
2022-07-30 11:03:03	ga_s2bm_ard_3-2-1_52KGC_2022-07-30_final
2022-07-30 11:05:57	ga_s2bm_ard_3-2-1_52JCM_2022-07-30_final
2022-08-01 11:46:20	ga_s2bm_ard_3-2-1_50JQL_2022-08-01_final
2022-09-09 12:14:43	ga_s2bm_ard_3-2-1_49JGN_2022-09-09_final.stac-item
2022-10-04 11:22:06	ga_s2bm_ard_3-2-1_52KBG_2022-10-04_final.stac-item
2022-10-07 11:37:00	ga_s2bm_ard_3-2-1_50HQH_2022-10-07_final.stac-item
2022-10-28 11:04:35	ga_s2bm_ard_3-2-1_52JDS_2022-10-28_final.stac-item
2022-11-16 11:34:10	ga_s2bm_ard_3-2-1_51KWP_2022-11-16_final.stac-item
2023-01-05 11:33:07	ga_s2bm_ard_3-2-1_51KXT_2023-01-05_final.stac-item
2023-01-12 11:23:24	ga_s2bm_ard_3-2-1_51KXS_2023-01-12_final.stac-item
2023-02-01 11:26:29	ga_s2bm_ard_3-2-1_51HUE_2023-02-01_final.stac-item
2023-02-27 11:41:56	ga_s2bm_ard_3-2-1_51LWC_2023-02-27_final.stac-item
2023-03-30 11:14:41	ga_s2bm_ard_3-2-1_51JZM_2023-03-30_final.stac-item
2023-04-25 11:34:12	ga_s2bm_ard_3-2-1_51KWP_2023-04-25_final.stac-item
2023-05-02 11:23:52	ga_s2bm_ard_3-2-1_52KBV_2023-05-02_final.stac-item
2023-05-05 11:36:40	ga_s2bm_ard_3-2-1_50HPK_2023-05-05_final.stac-item
2023-05-06 11:03:52	ga_s2bm_ard_3-2-1_52KEV_2023-05-06_final.stac-item
2023-05-19 11:16:39	ga_s2bm_ard_3-2-1_52HBJ_2023-05-19_nrt.stac-item
2023-06-18 11:13:30	ga_s2bm_ard_3-2-1_52KBB_2023-06-18_final.stac-item
2023-06-18 11:16:39	ga_s2bm_ard_3-2-1_52HBJ_2023-06-18_nrt.stac-item
2023-06-27 11:43:34	ga_s2bm_ard_3-2-1_51KUS_2023-06-27_final.stac-item
2023-07-11 11:23:33	ga_s2bm_ard_3-2-1_51KXS_2023-07-11_final.stac-item
2023-08-16 11:46:57	ga_s2bm_ard_3-2-1_50HNJ_2023-08-16_final.stac-item
2023-11-11 11:31:07	ga_s2bm_ard_3-2-1_51LZF_2023-11-11_nrt.stac-item
2023-11-28 11:23:21	ga_s2bm_ard_3-2-1_51KYS_2023-11-28_final.stac-item
2023-12-08 11:25:42	ga_s2bm_ard_3-2-1_51JVH_2023-12-08_final.stac-item
2023-12-09 10:54:22	ga_s2bm_ard_3-2-1_52JHS_2023-12-09_final.stac-item
2024-01-14 11:11:47	ga_s2bm_ard_3-2-1_52LEH_2024-01-14_final.stac-item
2024-01-23 11:43:24	ga_s2bm_ard_3-2-1_51KVS_2024-01-23_final.stac-item
2024-02-17 10:53:01	ga_s2bm_ard_3-2-1_52KHC_2024-02-17_final.stac-item
2024-03-06 11:53:06	ga_s2bm_ard_3-2-1_50KRC_2024-03-06_final.stac-item
2024-03-08 10:55:36	ga_s2bm_ard_3-2-1_52JGM_2024-03-08_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