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
2017-08-02 10:53:14	ga_s2bm_ard_3-2-1_52JGM_2017-08-02_final
2017-10-14 11:01:57	ga_s2bm_ard_3-2-1_52KFV_2017-10-14_final
2017-12-26 11:07:01	ga_s2bm_ard_3-2-1_52LFJ_2017-12-26_final
2018-01-31 11:27:22	ga_s2bm_ard_3-2-1_51KWP_2018-01-31_final
2018-01-31 11:27:22	ga_s2bm_ard_3-2-1_51LZD_2018-01-31_final
2018-02-10 11:30:33	ga_s2bm_ard_3-2-1_50JRT_2018-02-10_final
2018-02-10 11:30:33	ga_s2bm_ard_3-2-1_51JWK_2018-02-10_final
2018-02-20 11:27:22	ga_s2bm_ard_3-2-1_51JTF_2018-02-20_final
2018-03-05 11:42:06	ga_s2bm_ard_3-2-1_51JUN_2018-03-05_final
2018-04-28 11:24:29	ga_s2bm_ard_3-2-1_51HVD_2018-04-28_final
2018-05-25 11:14:45	ga_s2bm_ard_3-2-1_51JYJ_2018-05-25_final
2018-06-08 10:54:57	ga_s2bm_ard_3-2-1_52JFM_2018-06-08_final.stac-item
2018-06-08 10:54:57	ga_s2bm_ard_3-2-1_52JGL_2018-06-08_final.stac-item
2018-07-03 11:44:57	ga_s2bm_ard_3-2-1_50JNR_2018-07-03_final
2018-08-16 11:16:53	ga_s2bm_ard_3-2-1_51KZB_2018-08-16_final
2018-10-12 11:11:18	ga_s2bm_ard_3-2-1_52KEB_2018-10-12_final
2018-10-25 11:23:58	ga_s2bm_ard_3-2-1_52JBR_2018-10-25_final
2018-11-01 11:08:37	ga_s2bm_ard_3-2-1_52KCD_2018-11-01_final
2018-12-31 11:14:35	ga_s2bm_ard_3-2-1_52JBS_2018-12-31_final
2019-01-27 11:00:59	ga_s2bm_ard_3-2-1_52LHL_2019-01-27_final
2019-03-04 11:23:33	ga_s2bm_ard_3-2-1_51KXR_2019-03-04_final
2019-04-17 11:06:16	ga_s2bm_ard_3-2-1_52JBL_2019-04-17_final
2019-06-01 11:53:25	ga_s2bm_ard_3-2-1_50KNC_2019-06-01_final
2019-06-09 11:15:03	ga_s2bm_ard_3-2-1_51JYL_2019-06-09_final
2019-06-09 11:16:30	ga_s2bm_ard_3-2-1_51HYE_2019-06-09_final
2019-07-18 11:47:11	ga_s2bm_ard_3-2-1_50HPH_2019-07-18_final
2019-08-07 11:47:14	ga_s2bm_ard_3-2-1_50HNH_2019-08-07_final
2019-10-27 11:10:55	ga_s2bm_ard_3-2-1_52LGL_2019-10-27_final
2020-01-08 11:24:17	ga_s2bm_ard_3-2-1_51JYN_2020-01-08_final
2020-02-04 11:12:29	ga_s2bm_ard_3-2-1_52KDE_2020-02-04_final
2020-02-11 11:00:54	ga_s2bm_ard_3-2-1_52LHL_2020-02-11_final
2020-03-17 11:55:51	ga_s2bm_ard_3-2-1_50JMN_2020-03-17_final
2020-05-01 11:05:30	ga_s2bm_ard_3-2-1_52JDN_2020-05-01_final
2020-05-24 11:14:40	ga_s2bm_ard_3-2-1_52JBS_2020-05-24_final
2020-06-13 11:13:57	ga_s2bm_ard_3-2-1_52KBV_2020-06-13_final
2020-06-18 12:04:02	ga_s2bm_ard_3-2-1_49KHR_2020-06-18_final
2020-10-11 11:15:51	ga_s2bm_ard_3-2-1_52JCM_2020-10-11_final
2020-11-06 11:36:07	ga_s2bm_ard_3-2-1_50JQM_2020-11-06_final
2020-11-07 11:02:47	ga_s2bm_ard_3-2-1_52KFD_2020-11-07_final
2020-12-10 11:13:13	ga_s2bm_ard_3-2-1_52KEB_2020-12-10_final
2020-12-20 11:10:54	ga_s2bm_ard_3-2-1_52LGL_2020-12-20_final
2021-01-02 11:25:37	ga_s2bm_ard_3-2-1_51JXH_2021-01-02_final
2021-01-22 11:23:16	ga_s2bm_ard_3-2-1_52KCB_2021-01-22_final
2021-02-04 11:31:48	ga_s2bm_ard_3-2-1_51LZC_2021-02-04_final
2021-02-11 11:24:28	ga_s2bm_ard_3-2-1_51JWN_2021-02-11_final
2021-02-22 10:52:29	ga_s2bm_ard_3-2-1_52KHE_2021-02-22_final
2021-03-03 11:25:41	ga_s2bm_ard_3-2-1_51JWH_2021-03-03_final
2021-03-13 11:24:04	ga_s2bm_ard_3-2-1_52KBU_2021-03-13_final
2021-03-19 11:42:59	ga_s2bm_ard_3-2-1_51KUU_2021-03-19_final
2021-06-02 10:56:01	ga_s2bm_ard_3-2-1_52JFL_2021-06-02_final
2021-06-04 11:32:20	ga_s2bm_ard_3-2-1_51KVB_2021-06-04_final
2021-06-04 11:32:59	ga_s2bm_ard_3-2-1_51KWU_2021-06-04_final
2021-06-18 11:12:54	ga_s2bm_ard_3-2-1_52KCD_2021-06-18_final
2021-06-22 10:56:01	ga_s2bm_ard_3-2-1_52JFL_2021-06-22_final
2021-06-25 11:04:58	ga_s2bm_ard_3-2-1_52JFQ_2021-06-25_final
2021-08-09 11:54:38	ga_s2bm_ard_3-2-1_50JNT_2021-08-09_final
2021-09-02 11:35:34	ga_s2bm_ard_3-2-1_50JQP_2021-09-02_final
2021-09-18 11:56:47	ga_s2bm_ard_3-2-1_50HMJ_2021-09-18_final
2021-09-19 11:26:55	ga_s2bm_ard_3-2-1_51HVC_2021-09-19_final
2021-09-26 11:16:18	ga_s2bm_ard_3-2-1_52HBK_2021-09-26_final
2021-10-10 10:55:32	ga_s2bm_ard_3-2-1_52JFN_2021-10-10_final
2021-10-29 11:23:28	ga_s2bm_ard_3-2-1_52KCA_2021-10-29_final
2021-12-11 11:36:43	ga_s2bm_ard_3-2-1_50HQJ_2021-12-11_final
2022-01-18 10:54:40	ga_s2bm_ard_3-2-1_52JGR_2022-01-18_final
2022-02-18 12:03:49	ga_s2bm_ard_3-2-1_50KLA_2022-02-18_final
2022-03-28 11:24:26	ga_s2bm_ard_3-2-1_51JWN_2022-03-28_final
2022-05-01 11:03:39	ga_s2bm_ard_3-2-1_52KFV_2022-05-01_final
2022-05-17 11:23:49	ga_s2bm_ard_3-2-1_51KZQ_2022-05-17_final
2022-06-02 11:42:09	ga_s2bm_ard_3-2-1_51KWB_2022-06-02_final
2022-06-12 11:44:33	ga_s2bm_ard_3-2-1_51JTN_2022-06-12_final
2022-08-25 11:25:24	ga_s2bm_ard_3-2-1_51JXJ_2022-08-25_final
2022-09-01 11:10:38	ga_s2bm_ard_3-2-1_52LHM_2022-09-01_final.stac-item
2022-09-03 11:56:41	ga_s2bm_ard_3-2-1_50HLK_2022-09-03_final.stac-item
2022-10-27 11:32:46	ga_s2bm_ard_3-2-1_51KVV_2022-10-27_final.stac-item
2022-12-30 11:14:45	ga_s2bm_ard_3-2-1_52JDR_2022-12-30_final.stac-item
2023-01-26 11:02:31	ga_s2bm_ard_3-2-1_52KFE_2023-01-26_final.stac-item
2023-02-03 12:06:07	ga_s2bm_ard_3-2-1_50JKM_2023-02-03_final.stac-item
2023-02-18 11:11:38	ga_s2bm_ard_3-2-1_52LGH_2023-02-18_final.stac-item
2023-02-25 11:01:46	ga_s2bm_ard_3-2-1_52LGH_2023-02-25_final.stac-item
2023-03-23 11:21:13	ga_s2bm_ard_3-2-1_51LZF_2023-03-23_nrt.stac-item
2023-05-11 11:57:15	ga_s2bm_ard_3-2-1_50HKH_2023-05-11_nrt.stac-item
2023-05-31 11:56:55	ga_s2bm_ard_3-2-1_50HMJ_2023-05-31_final.stac-item
2023-06-27 11:45:22	ga_s2bm_ard_3-2-1_50JQQ_2023-06-27_final.stac-item
2023-09-05 11:46:53	ga_s2bm_ard_3-2-1_50HPJ_2023-09-05_final.stac-item
2023-09-05 11:47:07	ga_s2bm_ard_3-2-1_50HPH_2023-09-05_final.stac-item
2023-09-26 11:14:12	ga_s2bm_ard_3-2-1_51KZP_2023-09-26_final.stac-item
2023-11-04 11:45:20	ga_s2bm_ard_3-2-1_50JQQ_2023-11-04_final.stac-item
2023-11-15 11:13:54	ga_s2bm_ard_3-2-1_51KZQ_2023-11-15_final.stac-item
2023-11-22 11:06:31	ga_s2bm_ard_3-2-1_52HBJ_2023-11-22_nrt.stac-item
2023-12-14 11:42:07	ga_s2bm_ard_3-2-1_51KWB_2023-12-14_final.stac-item
2024-02-03 11:10:41	ga_s2bm_ard_3-2-1_52LGM_2024-02-03_final.stac-item
2024-03-07 11:24:27	ga_s2bm_ard_3-2-1_52JBS_2024-03-07_final.stac-item
2024-03-12 12:14:27	ga_s2bm_ard_3-2-1_49KFP_2024-03-12_nrt.stac-item
2024-03-13 11:46:34	ga_s2bm_ard_3-2-1_50HNK_2024-03-13_final.stac-item
2024-03-21 11:03:07	ga_s2bm_ard_3-2-1_52KEC_2024-03-21_final.stac-item
2024-03-31 11:01:28	ga_s2bm_ard_3-2-1_52LHJ_2024-03-31_final.stac-item
2024-04-03 11:16:33	ga_s2bm_ard_3-2-1_52HBJ_2024-04-03_nrt.stac-item
2024-04-09 11:36:57	ga_s2bm_ard_3-2-1_51HUC_2024-04-09_final.stac-item
2024-04-25 11:55:11	ga_s2bm_ard_3-2-1_50JLR_2024-04-25_final.stac-item
2024-04-29 11:37:02	ga_s2bm_ard_3-2-1_50HQH_2024-04-29_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