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
2017-07-24 12:02:49	ga_s2bm_ard_3-2-1_49JGM_2017-07-24_final
2017-08-27 11:40:44	ga_s2bm_ard_3-2-1_51KVT_2017-08-27_final
2017-09-23 11:29:24	ga_s2bm_ard_3-2-1_51JVH_2017-09-23_final
2017-09-29 11:51:40	ga_s2bm_ard_3-2-1_50HLH_2017-09-29_final
2017-11-12 11:27:16	ga_s2bm_ard_3-2-1_51HUC_2017-11-12_final
2017-11-12 11:27:16	ga_s2bm_ard_3-2-1_51KVP_2017-11-12_final
2017-12-28 11:49:08	ga_s2bm_ard_3-2-1_50KRC_2017-12-28_final
2018-01-10 12:02:41	ga_s2bm_ard_3-2-1_50KKA_2018-01-10_final
2018-02-19 12:02:42	ga_s2bm_ard_3-2-1_50KKB_2018-02-19_final
2018-02-27 11:21:10	ga_s2bm_ard_3-2-1_51HXD_2018-02-27_final
2018-03-19 11:26:26	ga_s2bm_ard_3-2-1_51HVE_2018-03-19_final
2018-03-24 12:13:16	ga_s2bm_ard_3-2-1_49JGN_2018-03-24_final
2018-04-04 11:40:13	ga_s2bm_ard_3-2-1_51KUU_2018-04-04_final
2018-07-03 11:38:24	ga_s2bm_ard_3-2-1_51KVA_2018-07-03_final
2018-07-06 11:51:46	ga_s2bm_ard_3-2-1_50HLK_2018-07-06_final
2018-07-13 11:40:15	ga_s2bm_ard_3-2-1_50JPL_2018-07-13_final
2018-08-15 11:54:27	ga_s2bm_ard_3-2-1_50JLN_2018-08-15_final
2018-08-26 11:23:21	ga_s2bm_ard_3-2-1_51HVC_2018-08-26_final
2018-09-12 11:14:23	ga_s2bm_ard_3-2-1_51HWC_2018-09-12_final.stac-item
2018-11-17 11:33:57	ga_s2bm_ard_3-2-1_51KVQ_2018-11-17_final
2018-11-24 11:26:41	ga_s2bm_ard_3-2-1_51HUD_2018-11-24_final
2018-12-29 12:13:51	ga_s2bm_ard_3-2-1_49KHR_2018-12-29_final
2019-01-05 12:04:55	ga_s2bm_ard_3-2-1_50JKS_2019-01-05_final
2019-02-01 11:56:00	ga_s2bm_ard_3-2-1_50JKN_2019-02-01_final
2019-02-08 11:42:57	ga_s2bm_ard_3-2-1_51KVU_2019-02-08_final
2019-02-08 11:43:25	ga_s2bm_ard_3-2-1_51KVS_2019-02-08_final
2019-02-24 12:04:41	ga_s2bm_ard_3-2-1_50JKT_2019-02-24_final
2019-03-13 11:53:18	ga_s2bm_ard_3-2-1_50KPC_2019-03-13_final
2019-03-14 11:25:21	ga_s2bm_ard_3-2-1_51JXJ_2019-03-14_final
2019-04-09 11:44:09	ga_s2bm_ard_3-2-1_50KQV_2019-04-09_final
2019-05-16 11:33:43	ga_s2bm_ard_3-2-1_51KUS_2019-05-16_final
2019-08-06 12:14:34	ga_s2bm_ard_3-2-1_49KGP_2019-08-06_final
2019-08-13 12:05:47	ga_s2bm_ard_3-2-1_50JKP_2019-08-13_final
2019-08-24 11:36:19	ga_s2bm_ard_3-2-1_51JUF_2019-08-24_final
2019-09-26 11:46:19	ga_s2bm_ard_3-2-1_50JPL_2019-09-26_final
2019-10-16 11:45:08	ga_s2bm_ard_3-2-1_50JPR_2019-10-16_final
2019-10-16 11:46:42	ga_s2bm_ard_3-2-1_50HMK_2019-10-16_final
2019-10-26 11:43:19	ga_s2bm_ard_3-2-1_51KTT_2019-10-26_final
2019-11-25 11:43:24	ga_s2bm_ard_3-2-1_51KUS_2019-11-25_final
2019-12-25 11:43:13	ga_s2bm_ard_3-2-1_50KRC_2019-12-25_final
2020-01-13 12:14:50	ga_s2bm_ard_3-2-1_49JGM_2020-01-13_final
2020-02-23 11:42:10	ga_s2bm_ard_3-2-1_51KVB_2020-02-23_final
2020-03-04 11:43:09	ga_s2bm_ard_3-2-1_51KVT_2020-03-04_final
2020-04-02 12:15:08	ga_s2bm_ard_3-2-1_49JGL_2020-04-02_final
2020-04-26 11:55:41	ga_s2bm_ard_3-2-1_50JKP_2020-04-26_final
2020-06-02 11:44:03	ga_s2bm_ard_3-2-1_50KRV_2020-06-02_final
2020-08-20 12:14:00	ga_s2bm_ard_3-2-1_50KKA_2020-08-20_final
2020-10-09 12:15:14	ga_s2bm_ard_3-2-1_49JGL_2020-10-09_final
2021-01-08 11:43:17	ga_s2bm_ard_3-2-1_51KTT_2021-01-08_final
2021-01-24 12:03:23	ga_s2bm_ard_3-2-1_50KMC_2021-01-24_final
2021-03-16 11:33:33	ga_s2bm_ard_3-2-1_51KUS_2021-03-16_final
2021-04-17 12:15:06	ga_s2bm_ard_3-2-1_49JGL_2021-04-17_final
2021-05-01 11:53:13	ga_s2bm_ard_3-2-1_50KQC_2021-05-01_final
2021-05-28 11:42:28	ga_s2bm_ard_3-2-1_51KVA_2021-05-28_final
2021-06-04 11:36:53	ga_s2bm_ard_3-2-1_50HPJ_2021-06-04_final
2021-06-18 11:15:25	ga_s2bm_ard_3-2-1_51JYJ_2021-06-18_final
2021-06-24 11:36:43	ga_s2bm_ard_3-2-1_51HUD_2021-06-24_final
2021-07-31 11:25:29	ga_s2bm_ard_3-2-1_51JWJ_2021-07-31_final
2021-08-02 12:04:58	ga_s2bm_ard_3-2-1_49JHM_2021-08-02_final
2021-08-09 11:53:59	ga_s2bm_ard_3-2-1_50KPV_2021-08-09_final
2021-08-27 11:16:39	ga_s2bm_ard_3-2-1_51HXD_2021-08-27_final
2021-09-02 11:36:28	ga_s2bm_ard_3-2-1_51HTE_2021-09-02_final
2021-09-21 12:05:41	ga_s2bm_ard_3-2-1_49JGJ_2021-09-21_final
2021-09-28 11:53:20	ga_s2bm_ard_3-2-1_50KPC_2021-09-28_final
2021-11-11 11:32:19	ga_s2bm_ard_3-2-1_51KVB_2021-11-11_final
2021-11-21 11:36:43	ga_s2bm_ard_3-2-1_51HTD_2021-11-21_final
2022-01-22 12:13:49	ga_s2bm_ard_3-2-1_49KHR_2022-01-22_final
2022-02-06 11:26:53	ga_s2bm_ard_3-2-1_51HVC_2022-02-06_final
2022-02-23 11:16:54	ga_s2bm_ard_3-2-1_51HWC_2022-02-23_final.stac-item
2022-03-04 11:42:39	ga_s2bm_ard_3-2-1_51KVV_2022-03-04_final
2022-03-24 11:43:45	ga_s2bm_ard_3-2-1_50KRA_2022-03-24_final
2022-05-19 12:04:42	ga_s2bm_ard_3-2-1_50JKT_2022-05-19_final
2022-08-07 12:04:32	ga_s2bm_ard_3-2-1_49KHP_2022-08-07_final
2022-09-13 11:56:06	ga_s2bm_ard_3-2-1_50JNM_2022-09-13_final.stac-item
2022-09-17 11:33:18	ga_s2bm_ard_3-2-1_51KVT_2022-09-17_final.stac-item
2022-10-16 12:05:00	ga_s2bm_ard_3-2-1_49JGM_2022-10-16_final.stac-item
2022-10-17 11:33:47	ga_s2bm_ard_3-2-1_51KUR_2022-10-17_final.stac-item
2022-10-20 11:44:45	ga_s2bm_ard_3-2-1_51JTM_2022-10-20_final.stac-item
2022-11-08 12:14:11	ga_s2bm_ard_3-2-1_49KGQ_2022-11-08_final.stac-item
2022-12-15 12:03:21	ga_s2bm_ard_3-2-1_50KMC_2022-12-15_final.stac-item
2022-12-16 11:37:19	ga_s2bm_ard_3-2-1_50HPG_2022-12-16_final.stac-item
2023-01-18 11:43:00	ga_s2bm_ard_3-2-1_51KTU_2023-01-18_final.stac-item
2023-04-02 11:26:47	ga_s2bm_ard_3-2-1_51HVD_2023-04-02_final.stac-item
2023-04-14 12:04:37	ga_s2bm_ard_3-2-1_50JMT_2023-04-14_final.stac-item
2023-05-05 11:37:03	ga_s2bm_ard_3-2-1_51HTC_2023-05-05_final.stac-item
2023-05-08 11:46:40	ga_s2bm_ard_3-2-1_50HNK_2023-05-08_final.stac-item
2023-06-01 11:26:04	ga_s2bm_ard_3-2-1_51JVG_2023-06-01_final.stac-item
2023-07-14 11:33:27	ga_s2bm_ard_3-2-1_51KUT_2023-07-14_final.stac-item
2023-07-20 11:56:35	ga_s2bm_ard_3-2-1_50HNK_2023-07-20_final.stac-item
2023-07-23 12:05:50	ga_s2bm_ard_3-2-1_49JGJ_2023-07-23_final.stac-item
2023-09-18 11:55:56	ga_s2bm_ard_3-2-1_50JMN_2023-09-18_final.stac-item
2023-10-15 11:42:44	ga_s2bm_ard_3-2-1_51KVV_2023-10-15_final.stac-item
2023-10-22 11:34:19	ga_s2bm_ard_3-2-1_51KUP_2023-10-22_final.stac-item
2023-10-24 12:15:01	ga_s2bm_ard_3-2-1_49JFM_2023-10-24_final.stac-item
2023-12-21 11:36:53	ga_s2bm_ard_3-2-1_50HPJ_2023-12-21_final.stac-item
2024-02-18 12:05:52	ga_s2bm_ard_3-2-1_50JLN_2024-02-18_final.stac-item
2024-02-19 11:36:44	ga_s2bm_ard_3-2-1_51HUD_2024-02-19_final.stac-item
2024-03-24 11:14:29	ga_s2bm_ard_3-2-1_51JYN_2024-03-24_final.stac-item
2024-05-22 11:43:11	ga_s2bm_ard_3-2-1_50KRC_2024-05-22_final.stac-item
2024-05-23 11:14:29	ga_s2bm_ard_3-2-1_51JYN_2024-05-23_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