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
2018-01-31 11:27:22	ga_s2bm_ard_3-2-1_51JTG_2018-01-31_final
2018-01-31 11:27:22	ga_s2bm_ard_3-2-1_51KXQ_2018-01-31_final
2018-02-08 10:47:18	ga_s2bm_ard_3-2-1_53KKV_2018-02-08_final
2018-02-17 11:19:38	ga_s2bm_ard_3-2-1_52KBB_2018-02-17_final
2018-02-21 11:02:40	ga_s2bm_ard_3-2-1_52KEB_2018-02-21_final
2018-02-22 12:13:13	ga_s2bm_ard_3-2-1_50KKA_2018-02-22_final
2018-06-30 11:27:56	ga_s2bm_ard_3-2-1_51KVU_2018-06-30_final
2018-07-30 11:31:34	ga_s2bm_ard_3-2-1_51HUC_2018-07-30_final
2018-08-20 10:59:01	ga_s2bm_ard_3-2-1_52JER_2018-08-20_final
2018-09-09 11:01:38	ga_s2bm_ard_3-2-1_52KGC_2018-09-09_final
2018-10-24 11:53:29	ga_s2bm_ard_3-2-1_50HLH_2018-10-24_final
2018-11-11 11:10:41	ga_s2bm_ard_3-2-1_52LGM_2018-11-11_final
2018-12-07 11:32:57	ga_s2bm_ard_3-2-1_51KYT_2018-12-07_final
2018-12-29 10:33:50	ga_s2bm_ard_3-2-1_53KPP_2018-12-29_final
2019-01-25 12:03:20	ga_s2bm_ard_3-2-1_50KNC_2019-01-25_final
2019-02-04 10:26:36	ga_s2bm_ard_3-2-1_53HPC_2019-02-04_final
2019-02-15 11:33:52	ga_s2bm_ard_3-2-1_51KXQ_2019-02-15_final
2019-03-02 10:40:38	ga_s2bm_ard_3-2-1_53LPG_2019-03-02_final
2019-03-14 11:24:02	ga_s2bm_ard_3-2-1_52KBU_2019-03-14_final
2019-04-19 11:44:19	ga_s2bm_ard_3-2-1_51KUP_2019-04-19_final
2019-05-28 10:36:40	ga_s2bm_ard_3-2-1_53HPC_2019-05-28_final
2019-07-27 10:33:57	ga_s2bm_ard_3-2-1_53KQP_2019-07-27_final
2019-08-18 11:13:28	ga_s2bm_ard_3-2-1_52KCB_2019-08-18_final
2019-09-18 10:45:43	ga_s2bm_ard_3-2-1_53JKG_2019-09-18_final
2019-09-26 11:42:57	ga_s2bm_ard_3-2-1_51KVU_2019-09-26_final
2019-12-02 11:37:12	ga_s2bm_ard_3-2-1_50HQG_2019-12-02_final.stac-item
2019-12-16 11:13:43	ga_s2bm_ard_3-2-1_52KDV_2019-12-16_final
2019-12-24 10:33:12	ga_s2bm_ard_3-2-1_53KRR_2019-12-24_final
2020-01-11 11:33:42	ga_s2bm_ard_3-2-1_51KUR_2020-01-11_final
2020-01-12 11:04:22	ga_s2bm_ard_3-2-1_52JDS_2020-01-12_final
2020-02-14 11:14:33	ga_s2bm_ard_3-2-1_51JZM_2020-02-14_final
2020-02-16 11:54:06	ga_s2bm_ard_3-2-1_50KQU_2020-02-16_final
2020-04-24 11:13:09	ga_s2bm_ard_3-2-1_52KEB_2020-04-24_final
2020-05-03 11:42:57	ga_s2bm_ard_3-2-1_51KUU_2020-05-03_final
2020-06-06 11:24:04	ga_s2bm_ard_3-2-1_51KWQ_2020-06-06_final
2020-06-10 11:04:45	ga_s2bm_ard_3-2-1_52JFR_2020-06-10_final
2020-06-28 10:25:51	ga_s2bm_ard_3-2-1_53JQF_2020-06-28_final
2020-07-08 12:06:12	ga_s2bm_ard_3-2-1_50JKM_2020-07-08_final
2020-07-15 11:56:27	ga_s2bm_ard_3-2-1_50JLL_2020-07-15_final
2020-08-05 11:23:42	ga_s2bm_ard_3-2-1_51KYR_2020-08-05_final
2020-08-06 10:54:51	ga_s2bm_ard_3-2-1_52JFR_2020-08-06_final
2020-09-21 11:10:45	ga_s2bm_ard_3-2-1_52LGM_2020-09-21_final
2020-11-03 11:24:04	ga_s2bm_ard_3-2-1_51KWQ_2020-11-03_final
2020-11-06 11:35:58	ga_s2bm_ard_3-2-1_51JVG_2020-11-06_final
2020-11-07 11:02:57	ga_s2bm_ard_3-2-1_52KHC_2020-11-07_final
2020-11-09 11:46:17	ga_s2bm_ard_3-2-1_50JQL_2020-11-09_final
2020-11-16 11:32:33	ga_s2bm_ard_3-2-1_51KVA_2020-11-16_final
2020-11-20 11:13:40	ga_s2bm_ard_3-2-1_52KBA_2020-11-20_final
2020-12-26 11:36:58	ga_s2bm_ard_3-2-1_51HTC_2020-12-26_final
2021-01-05 11:32:53	ga_s2bm_ard_3-2-1_51KXU_2021-01-05_final
2021-01-29 11:11:51	ga_s2bm_ard_3-2-1_52LDH_2021-01-29_final
2021-02-13 12:05:59	ga_s2bm_ard_3-2-1_50JKN_2021-02-13_final
2021-03-14 10:51:30	ga_s2bm_ard_3-2-1_53LPC_2021-03-14_final
2021-04-11 10:17:00	ga_s2bm_ard_3-2-1_54HTF_2021-04-11_final
2021-04-29 11:13:47	ga_s2bm_ard_3-2-1_52KCV_2021-04-29_final
2021-07-13 10:27:01	ga_s2bm_ard_3-2-1_54HTF_2021-07-13_final
2021-07-31 11:23:59	ga_s2bm_ard_3-2-1_51KXQ_2021-07-31_final
2021-08-09 11:54:52	ga_s2bm_ard_3-2-1_50JNS_2021-08-09_final
2021-09-09 11:24:40	ga_s2bm_ard_3-2-1_52JBR_2021-09-09_final
2021-09-10 10:50:17	ga_s2bm_ard_3-2-1_53LPH_2021-09-10_final.stac-item
2021-10-05 11:43:24	ga_s2bm_ard_3-2-1_51KTT_2021-10-05_final
2021-10-28 10:17:05	ga_s2bm_ard_3-2-1_54HTF_2021-10-28_final
2021-11-04 11:43:04	ga_s2bm_ard_3-2-1_51KTU_2021-11-04_final
2021-11-08 11:25:06	ga_s2bm_ard_3-2-1_51JYK_2021-11-08_final
2021-11-28 11:22:58	ga_s2bm_ard_3-2-1_52KCC_2021-11-28_final
2021-12-26 10:41:30	ga_s2bm_ard_3-2-1_53LQC_2021-12-26_final
2022-02-13 11:15:59	ga_s2bm_ard_3-2-1_52JBL_2022-02-13_final
2022-04-22 10:33:54	ga_s2bm_ard_3-2-1_53JRN_2022-04-22_final
2022-04-26 10:16:00	ga_s2bm_ard_3-2-1_54HUK_2022-04-26_final
2022-06-01 12:15:19	ga_s2bm_ard_3-2-1_49JGK_2022-06-01_final
2022-06-24 10:46:29	ga_s2bm_ard_3-2-1_53HLD_2022-06-24_final
2022-07-11 10:36:33	ga_s2bm_ard_3-2-1_53HLD_2022-07-11_final
2022-07-13 11:13:26	ga_s2bm_ard_3-2-1_52KCB_2022-07-13_final
2022-07-24 10:45:56	ga_s2bm_ard_3-2-1_53JMF_2022-07-24_final
2022-07-28 12:05:34	ga_s2bm_ard_3-2-1_49JGK_2022-07-28_final
2022-08-04 11:53:22	ga_s2bm_ard_3-2-1_50KQC_2022-08-04_final
2022-09-12 10:45:02	ga_s2bm_ard_3-2-1_53JKK_2022-09-12_final.stac-item
2022-11-15 12:04:39	ga_s2bm_ard_3-2-1_50JLT_2022-11-15_final.stac-item
2022-11-26 11:34:02	ga_s2bm_ard_3-2-1_51KUQ_2022-11-26_final.stac-item
2022-12-29 11:42:45	ga_s2bm_ard_3-2-1_51KUV_2022-12-29_final.stac-item
2022-12-30 11:13:28	ga_s2bm_ard_3-2-1_51KZS_2022-12-30_final.stac-item
2023-01-18 13:21:41	ga_s2bm_ard_3-2-1_47LKG_2023-01-18_interim.stac-item
2023-02-14 11:33:14	ga_s2bm_ard_3-2-1_51KVT_2023-02-14_final.stac-item
2023-04-24 12:05:03	ga_s2bm_ard_3-2-1_49JGM_2023-04-24_final.stac-item
2023-05-05 11:34:13	ga_s2bm_ard_3-2-1_51KWP_2023-05-05_final.stac-item
2023-05-07 10:33:48	ga_s2bm_ard_3-2-1_53KRP_2023-05-07_final.stac-item
2023-05-26 11:05:39	ga_s2bm_ard_3-2-1_52JDN_2023-05-26_final.stac-item
2023-06-14 11:32:55	ga_s2bm_ard_3-2-1_51KYU_2023-06-14_final.stac-item
2023-07-11 11:25:11	ga_s2bm_ard_3-2-1_51JYK_2023-07-11_final.stac-item
2023-07-23 12:04:05	ga_s2bm_ard_3-2-1_50KKA_2023-07-23_final.stac-item
2023-07-26 10:31:56	ga_s2bm_ard_3-2-1_53KRB_2023-07-26_final.stac-item
2023-08-06 11:43:30	ga_s2bm_ard_3-2-1_51KVS_2023-08-06_final.stac-item
2023-08-25 10:34:17	ga_s2bm_ard_3-2-1_53JNN_2023-08-25_final.stac-item
2023-09-13 11:06:36	ga_s2bm_ard_3-2-1_52HBJ_2023-09-13_nrt.stac-item
2023-09-20 10:55:45	ga_s2bm_ard_3-2-1_52JGM_2023-09-20_final.stac-item
2023-10-04 12:14:31	ga_s2bm_ard_3-2-1_49KFP_2023-10-04_nrt.stac-item
2023-12-15 11:13:12	ga_s2bm_ard_3-2-1_52KBC_2023-12-15_final.stac-item
2024-01-14 11:10:56	ga_s2bm_ard_3-2-1_52LGL_2024-01-14_final.stac-item
2024-02-16 11:23:22	ga_s2bm_ard_3-2-1_51KZS_2024-02-16_final.stac-item
2024-02-27 10:51:34	ga_s2bm_ard_3-2-1_53LMC_2024-02-27_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