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
2017-07-18 11:38:32	ga_s2bm_ard_3-2-1_51KTQ_2017-07-18_final
2017-07-30 10:42:02	ga_s2bm_ard_3-2-1_53KPV_2017-07-30_final
2017-08-09 10:43:05	ga_s2bm_ard_3-2-1_53JMJ_2017-08-09_final
2017-11-20 10:47:12	ga_s2bm_ard_3-2-1_52JHS_2017-11-20_final
2018-01-08 09:42:19	ga_s2bm_ard_3-2-1_55HDU_2018-01-08_final
2018-01-28 11:25:10	ga_s2bm_ard_3-2-1_51JVF_2018-01-28_final
2018-02-16 11:50:39	ga_s2bm_ard_3-2-1_50JMT_2018-02-16_final
2018-04-22 10:57:14	ga_s2bm_ard_3-2-1_53LKE_2018-04-22_final
2018-04-23 10:27:06	ga_s2bm_ard_3-2-1_54KTF_2018-04-23_final
2018-06-01 10:57:12	ga_s2bm_ard_3-2-1_53LKC_2018-06-01_final
2018-06-06 11:51:08	ga_s2bm_ard_3-2-1_50KNA_2018-06-06_final
2018-06-23 11:43:22	ga_s2bm_ard_3-2-1_51KTQ_2018-06-23_final
2018-07-06 10:09:42	ga_s2bm_ard_3-2-1_54KXV_2018-07-06_final
2018-07-13 09:59:23	ga_s2bm_ard_3-2-1_54JYM_2018-07-13_final
2018-09-01 09:58:07	ga_s2bm_ard_3-2-1_54JZS_2018-09-01_final
2018-09-12 11:14:23	ga_s2bm_ard_3-2-1_52JBP_2018-09-12_final
2018-09-20 10:30:58	ga_s2bm_ard_3-2-1_54KTC_2018-09-20_final
2018-09-24 10:13:38	ga_s2bm_ard_3-2-1_54JWR_2018-09-24_final
2018-09-30 10:31:00	ga_s2bm_ard_3-2-1_54KTC_2018-09-30_final
2018-11-17 11:32:52	ga_s2bm_ard_3-2-1_51KXU_2018-11-17_final
2018-11-26 12:04:36	ga_s2bm_ard_3-2-1_50JLT_2018-11-26_final
2019-02-11 10:13:27	ga_s2bm_ard_3-2-1_54KXV_2019-02-11_final
2019-03-28 11:04:30	ga_s2bm_ard_3-2-1_52JFS_2019-03-28_final
2019-05-12 10:12:44	ga_s2bm_ard_3-2-1_54KZC_2019-05-12_final
2019-06-01 10:13:17	ga_s2bm_ard_3-2-1_54KYA_2019-06-01_final
2019-06-12 11:24:19	ga_s2bm_ard_3-2-1_51KXP_2019-06-12_final
2019-06-21 10:13:34	ga_s2bm_ard_3-2-1_54KXV_2019-06-21_final
2019-07-01 10:12:19	ga_s2bm_ard_3-2-1_54KYE_2019-07-01_final
2019-07-11 11:55:00	ga_s2bm_ard_3-2-1_50JNS_2019-07-11_final
2019-07-21 11:53:15	ga_s2bm_ard_3-2-1_50KPD_2019-07-21_final.stac-item
2019-08-08 11:12:53	ga_s2bm_ard_3-2-1_52KED_2019-08-08_final
2019-08-13 10:24:08	ga_s2bm_ard_3-2-1_54JUT_2019-08-13_final
2019-08-16 10:33:08	ga_s2bm_ard_3-2-1_53KRS_2019-08-16_final
2019-10-14 11:06:22	ga_s2bm_ard_3-2-1_52HCK_2019-10-14_final.stac-item
2019-10-25 10:35:24	ga_s2bm_ard_3-2-1_53JNH_2019-10-25_final
2019-11-06 11:15:36	ga_s2bm_ard_3-2-1_52JBN_2019-11-06_final
2019-11-08 10:14:57	ga_s2bm_ard_3-2-1_54JWP_2019-11-08_final
2019-11-28 10:13:51	ga_s2bm_ard_3-2-1_54JXT_2019-11-28_final
2019-12-09 09:47:41	ga_s2bm_ard_3-2-1_55HDS_2019-12-09_final
2019-12-28 10:14:20	ga_s2bm_ard_3-2-1_54JXR_2019-12-28_final
2020-01-31 11:32:18	ga_s2bm_ard_3-2-1_51KXA_2020-01-31_final
2020-02-16 11:55:20	ga_s2bm_ard_3-2-1_50JMQ_2020-02-16_final
2020-03-04 10:06:40	ga_s2bm_ard_3-2-1_54HWG_2020-03-04_final
2020-04-12 10:33:13	ga_s2bm_ard_3-2-1_53KRR_2020-04-12_final
2020-04-26 11:52:15	ga_s2bm_ard_3-2-1_50KQG_2020-04-26_final.stac-item
2020-05-03 11:45:00	ga_s2bm_ard_3-2-1_50JQR_2020-05-03_final
2020-06-29 09:55:53	ga_s2bm_ard_3-2-1_55HCE_2020-06-29_final
2020-08-01 11:45:39	ga_s2bm_ard_3-2-1_50JPP_2020-08-01_final
2020-08-08 11:33:31	ga_s2bm_ard_3-2-1_51KWS_2020-08-08_final
2020-08-24 10:12:14	ga_s2bm_ard_3-2-1_54KYE_2020-08-24_final
2020-12-24 10:53:22	ga_s2bm_ard_3-2-1_53KLR_2020-12-24_final
2021-02-22 10:55:11	ga_s2bm_ard_3-2-1_52JGP_2021-02-22_final
2021-03-09 11:45:49	ga_s2bm_ard_3-2-1_50JPN_2021-03-09_final
2021-03-22 11:54:07	ga_s2bm_ard_3-2-1_50KNV_2021-03-22_final
2021-03-29 11:45:16	ga_s2bm_ard_3-2-1_50JQQ_2021-03-29_final
2021-06-06 10:33:32	ga_s2bm_ard_3-2-1_54KTV_2021-06-06_final
2021-06-13 10:24:17	ga_s2bm_ard_3-2-1_54JUS_2021-06-13_final
2021-07-29 10:42:05	ga_s2bm_ard_3-2-1_53KQA_2021-07-29_final
2021-08-05 12:14:47	ga_s2bm_ard_3-2-1_49JFN_2021-08-05_final
2021-08-06 10:06:11	ga_s2bm_ard_3-2-1_54HXJ_2021-08-06_final
2021-08-25 10:32:28	ga_s2bm_ard_3-2-1_54KUD_2021-08-25_final
2021-09-08 10:14:39	ga_s2bm_ard_3-2-1_54JWQ_2021-09-08_final
2021-09-28 11:53:52	ga_s2bm_ard_3-2-1_50KNA_2021-09-28_final
2021-10-20 10:50:57	ga_s2bm_ard_3-2-1_53LMF_2021-10-20_final
2021-10-31 12:04:40	ga_s2bm_ard_3-2-1_50JLT_2021-10-31_final
2021-12-07 10:15:07	ga_s2bm_ard_3-2-1_54JWN_2021-12-07_final
2021-12-07 11:54:32	ga_s2bm_ard_3-2-1_50JNT_2021-12-07_final
2022-02-22 11:43:57	ga_s2bm_ard_3-2-1_50KRV_2022-02-22_final
2022-04-19 10:22:55	ga_s2bm_ard_3-2-1_54KVB_2022-04-19_final
2022-05-13 11:45:34	ga_s2bm_ard_3-2-1_50JPP_2022-05-13_final
2022-05-25 10:43:05	ga_s2bm_ard_3-2-1_53KPS_2022-05-25_final
2022-07-06 11:26:45	ga_s2bm_ard_3-2-1_51HWD_2022-07-06_final
2022-07-25 10:12:41	ga_s2bm_ard_3-2-1_54KZC_2022-07-25_final
2022-08-21 11:45:23	ga_s2bm_ard_3-2-1_50JPQ_2022-08-21_final
2022-09-23 10:12:23	ga_s2bm_ard_3-2-1_54KZD_2022-09-23_final.stac-item
2022-10-07 11:32:37	ga_s2bm_ard_3-2-1_51KXV_2022-10-07_final.stac-item
2022-10-20 11:44:01	ga_s2bm_ard_3-2-1_50KRV_2022-10-20_final.stac-item
2022-10-24 11:22:36	ga_s2bm_ard_3-2-1_52KBE_2022-10-24_final.stac-item
2023-02-05 11:02:13	ga_s2bm_ard_3-2-1_52KGF_2023-02-05_final.stac-item
2023-02-10 10:14:12	ga_s2bm_ard_3-2-1_54JWS_2023-02-10_final.stac-item
2023-03-30 11:16:44	ga_s2bm_ard_3-2-1_51HXD_2023-03-30_final.stac-item
2023-04-13 10:50:07	ga_s2bm_ard_3-2-1_53LPJ_2023-04-13_nrt.stac-item
2023-04-16 11:02:45	ga_s2bm_ard_3-2-1_52KGD_2023-04-16_final.stac-item
2023-05-08 11:41:18	ga_s2bm_ard_3-2-1_51LVF_2023-05-08_final.stac-item
2023-05-26 11:04:34	ga_s2bm_ard_3-2-1_52JFS_2023-05-26_final.stac-item
2023-07-01 11:21:55	ga_s2bm_ard_3-2-1_52LCH_2023-07-01_final.stac-item
2023-07-16 12:14:36	ga_s2bm_ard_3-2-1_49KFP_2023-07-16_nrt.stac-item
2023-08-19 11:52:25	ga_s2bm_ard_3-2-1_50KQG_2023-08-19_final.stac-item
2023-08-20 11:23:15	ga_s2bm_ard_3-2-1_51KYT_2023-08-20_final.stac-item
2023-10-12 09:57:24	ga_s2bm_ard_3-2-1_54HYD_2023-10-12_final.stac-item
2023-10-21 10:23:31	ga_s2bm_ard_3-2-1_54KVV_2023-10-21_final.stac-item
2023-10-25 11:45:18	ga_s2bm_ard_3-2-1_50JQQ_2023-10-25_final.stac-item
2023-11-12 11:01:28	ga_s2bm_ard_3-2-1_53LKD_2023-11-12_final.stac-item
2024-01-29 10:23:27	ga_s2bm_ard_3-2-1_54KVV_2024-01-29_final.stac-item
2024-02-01 10:34:01	ga_s2bm_ard_3-2-1_53JQN_2024-02-01_final.stac-item
2024-03-26 11:55:24	ga_s2bm_ard_3-2-1_50JMQ_2024-03-26_final.stac-item
2024-04-16 11:23:07	ga_s2bm_ard_3-2-1_52KBC_2024-04-16_final.stac-item
2024-04-18 12:04:43	ga_s2bm_ard_3-2-1_49JHN_2024-04-18_final.stac-item
2024-05-01 12:13:44	ga_s2bm_ard_3-2-1_49KGS_2024-05-01_nrt.stac-item
2024-05-03 11:14:35	ga_s2bm_ard_3-2-1_52JCS_2024-05-03_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