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
2017-07-15 09:52:35	ga_s2bm_ard_3-2-1_55GBR_2017-07-15_final
2017-08-23 10:23:03	ga_s2bm_ard_3-2-1_54JUR_2017-08-23_final
2017-08-28 11:11:56	ga_s2bm_ard_3-2-1_51JYH_2017-08-28_final
2017-12-22 09:52:45	ga_s2bm_ard_3-2-1_54HXF_2017-12-22_final
2018-01-12 11:02:50	ga_s2bm_ard_3-2-1_52JEQ_2018-01-12_final
2018-01-19 10:47:17	ga_s2bm_ard_3-2-1_53LME_2018-01-19_final
2018-02-02 10:27:01	ga_s2bm_ard_3-2-1_53KRB_2018-02-02_final
2018-03-09 09:40:59	ga_s2bm_ard_3-2-1_55GBR_2018-03-09_final
2018-03-19 11:20:54	ga_s2bm_ard_3-2-1_52LDH_2018-03-19_final
2018-05-03 10:27:07	ga_s2bm_ard_3-2-1_54LWK_2018-05-03_final
2018-05-05 09:32:39	ga_s2bm_ard_3-2-1_55GCP_2018-05-05_final
2018-06-06 11:51:08	ga_s2bm_ard_3-2-1_50KNB_2018-06-06_final
2018-09-28 09:52:43	ga_s2bm_ard_3-2-1_55GCR_2018-09-28_final
2018-11-05 10:47:22	ga_s2bm_ard_3-2-1_53KKS_2018-11-05_final
2018-11-17 11:32:55	ga_s2bm_ard_3-2-1_51KWU_2018-11-17_final
2018-11-22 10:46:21	ga_s2bm_ard_3-2-1_53HLD_2018-11-22_final
2018-12-16 10:26:39	ga_s2bm_ard_3-2-1_54HTG_2018-12-16_final
2018-12-23 10:11:19	ga_s2bm_ard_3-2-1_54LZH_2018-12-23_final
2019-01-10 09:38:48	ga_s2bm_ard_3-2-1_55GDN_2019-01-10_final
2019-01-26 09:58:05	ga_s2bm_ard_3-2-1_54GYA_2019-01-26_final
2019-02-01 10:13:05	ga_s2bm_ard_3-2-1_54KZA_2019-02-01_final
2019-03-22 10:40:39	ga_s2bm_ard_3-2-1_53LPG_2019-03-22_final
2019-04-08 10:31:46	ga_s2bm_ard_3-2-1_54KVG_2019-04-08_final
2019-04-12 11:56:19	ga_s2bm_ard_3-2-1_50JKM_2019-04-12_final
2019-05-25 10:25:11	ga_s2bm_ard_3-2-1_54JTP_2019-05-25_final
2019-06-08 10:05:05	ga_s2bm_ard_3-2-1_54JXP_2019-06-08_final
2019-08-15 11:06:16	ga_s2bm_ard_3-2-1_52JBL_2019-08-15_final
2019-10-23 11:33:14	ga_s2bm_ard_3-2-1_51KWT_2019-10-23_final
2019-12-04 10:36:53	ga_s2bm_ard_3-2-1_53HPA_2019-12-04_final
2020-02-05 10:43:45	ga_s2bm_ard_3-2-1_53KNP_2020-02-05_final
2020-02-09 10:25:19	ga_s2bm_ard_3-2-1_54JVM_2020-02-09_final
2020-03-01 11:32:52	ga_s2bm_ard_3-2-1_51KXU_2020-03-01_final
2020-03-02 11:05:24	ga_s2bm_ard_3-2-1_52JFN_2020-03-02_final
2020-03-04 10:04:05	ga_s2bm_ard_3-2-1_54JZS_2020-03-04_final
2020-04-20 11:32:41	ga_s2bm_ard_3-2-1_51KXV_2020-04-20_final
2020-04-30 11:34:01	ga_s2bm_ard_3-2-1_51KXP_2020-04-30_final
2020-08-06 10:55:34	ga_s2bm_ard_3-2-1_52JFN_2020-08-06_final
2020-08-07 10:24:05	ga_s2bm_ard_3-2-1_54JUT_2020-08-07_final
2020-09-08 11:05:51	ga_s2bm_ard_3-2-1_52JDM_2020-09-08_final
2020-09-13 10:16:30	ga_s2bm_ard_3-2-1_54HVH_2020-09-13_final
2020-09-19 10:29:56	ga_s2bm_ard_3-2-1_54LXP_2020-09-19_final
2020-11-08 10:35:17	ga_s2bm_ard_3-2-1_53JMJ_2020-11-08_final
2020-11-20 11:15:37	ga_s2bm_ard_3-2-1_52JBN_2020-11-20_final
2020-12-05 10:19:40	ga_s2bm_ard_3-2-1_54LYQ_2020-12-05_final
2020-12-25 10:20:57	ga_s2bm_ard_3-2-1_54LWK_2020-12-25_final
2021-01-04 10:21:50	ga_s2bm_ard_3-2-1_54KYF_2021-01-04_final
2021-01-29 11:16:19	ga_s2bm_ard_3-2-1_51JWF_2021-01-29_final
2021-03-19 10:02:54	ga_s2bm_ard_3-2-1_54KZB_2021-03-19_final
2021-03-22 10:15:43	ga_s2bm_ard_3-2-1_54JVL_2021-03-22_final
2021-04-14 12:03:55	ga_s2bm_ard_3-2-1_49KHR_2021-04-14_final
2021-05-04 12:05:41	ga_s2bm_ard_3-2-1_49JGJ_2021-05-04_final
2021-05-19 11:16:11	ga_s2bm_ard_3-2-1_51JXF_2021-05-19_final
2021-05-25 09:57:11	ga_s2bm_ard_3-2-1_54HXE_2021-05-25_final
2021-06-25 11:01:18	ga_s2bm_ard_3-2-1_53LLD_2021-06-25_final
2021-07-20 11:56:27	ga_s2bm_ard_3-2-1_50JLL_2021-07-20_final
2021-08-05 10:36:30	ga_s2bm_ard_3-2-1_53HLD_2021-08-05_final
2021-08-10 11:25:10	ga_s2bm_ard_3-2-1_51JXK_2021-08-10_final
2021-08-19 10:17:04	ga_s2bm_ard_3-2-1_53HQA_2021-08-19_final
2021-10-19 11:26:27	ga_s2bm_ard_3-2-1_51HWE_2021-10-19_final
2021-11-07 10:15:44	ga_s2bm_ard_3-2-1_54JVL_2021-11-07_final
2021-12-04 11:43:57	ga_s2bm_ard_3-2-1_51KTQ_2021-12-04_final
2022-01-17 11:22:37	ga_s2bm_ard_3-2-1_51KYV_2022-01-17_final
2022-01-27 11:23:32	ga_s2bm_ard_3-2-1_52KBA_2022-01-27_final
2022-02-15 11:54:34	ga_s2bm_ard_3-2-1_50JMT_2022-02-15_final
2022-03-05 11:16:28	ga_s2bm_ard_3-2-1_51HWE_2022-03-05_final
2022-03-11 09:58:03	ga_s2bm_ard_3-2-1_54GYA_2022-03-11_final
2022-03-15 11:10:23	ga_s2bm_ard_3-2-1_52LHN_2022-03-15_final
2022-04-18 10:55:56	ga_s2bm_ard_3-2-1_52JFL_2022-04-18_final
2022-04-30 11:33:17	ga_s2bm_ard_3-2-1_51KXS_2022-04-30_final
2022-05-06 10:16:16	ga_s2bm_ard_3-2-1_54HTJ_2022-05-06_final
2022-05-24 09:38:05	ga_s2bm_ard_3-2-1_55GDR_2022-05-24_final
2022-06-08 10:27:06	ga_s2bm_ard_3-2-1_53HPA_2022-06-08_final
2022-06-16 11:24:36	ga_s2bm_ard_3-2-1_52JBS_2022-06-16_final
2022-06-30 11:02:20	ga_s2bm_ard_3-2-1_52KGF_2022-06-30_final
2022-07-29 11:35:50	ga_s2bm_ard_3-2-1_51JUH_2022-07-29_final
2022-08-01 11:44:15	ga_s2bm_ard_3-2-1_50KPV_2022-08-01_final
2022-08-11 10:04:43	ga_s2bm_ard_3-2-1_54JYQ_2022-08-11_final
2022-08-31 10:05:35	ga_s2bm_ard_3-2-1_54JXL_2022-08-31_final.stac-item
2022-10-10 11:45:37	ga_s2bm_ard_3-2-1_50JNP_2022-10-10_final.stac-item
2022-10-13 10:16:15	ga_s2bm_ard_3-2-1_54HUJ_2022-10-13_final.stac-item
2022-10-18 11:05:38	ga_s2bm_ard_3-2-1_52JFM_2022-10-18_final.stac-item
2022-10-25 10:54:09	ga_s2bm_ard_3-2-1_52JHT_2022-10-25_final.stac-item
2022-11-23 11:26:11	ga_s2bm_ard_3-2-1_51JWF_2022-11-23_final.stac-item
2022-11-24 10:53:13	ga_s2bm_ard_3-2-1_53KKS_2022-11-24_final.stac-item
2022-12-20 11:10:24	ga_s2bm_ard_3-2-1_52LHN_2022-12-20_final.stac-item
2023-01-03 10:52:51	ga_s2bm_ard_3-2-1_53KMT_2023-01-03_final.stac-item
2023-01-06 11:01:50	ga_s2bm_ard_3-2-1_53KLB_2023-01-06_final.stac-item
2023-02-06 10:30:16	ga_s2bm_ard_3-2-1_54LXM_2023-02-06_final.stac-item
2023-05-06 11:06:02	ga_s2bm_ard_3-2-1_52JEL_2023-05-06_final.stac-item
2023-08-29 11:57:13	ga_s2bm_ard_3-2-1_49HGC_2023-08-29_nrt.stac-item
2023-08-31 10:55:15	ga_s2bm_ard_3-2-1_53JKJ_2023-08-31_final.stac-item
2023-10-18 11:57:17	ga_s2bm_ard_3-2-1_49HGC_2023-10-18_nrt.stac-item
2023-11-13 10:34:15	ga_s2bm_ard_3-2-1_53JRM_2023-11-13_final.stac-item
2023-11-22 11:01:52	ga_s2bm_ard_3-2-1_53KKB_2023-11-22_final.stac-item
2024-02-16 11:26:30	ga_s2bm_ard_3-2-1_51HVE_2024-02-16_final.stac-item
2024-02-19 09:57:41	ga_s2bm_ard_3-2-1_54HXC_2024-02-19_final.stac-item
2024-03-06 10:16:29	ga_s2bm_ard_3-2-1_54HTH_2024-03-06_final.stac-item
2024-03-10 11:34:13	ga_s2bm_ard_3-2-1_51KUP_2024-03-10_final.stac-item
2024-03-10 11:34:32	ga_s2bm_ard_3-2-1_51JTN_2024-03-10_final.stac-item
2024-03-10 11:36:15	ga_s2bm_ard_3-2-1_50JQL_2024-03-10_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