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
2017-08-28 11:11:56	ga_s2bm_ard_3-2-1_52KEA_2017-08-28_final
2017-10-28 10:37:14	ga_s2bm_ard_3-2-1_53KPR_2017-10-28_final
2017-10-31 10:47:11	ga_s2bm_ard_3-2-1_53JKJ_2017-10-31_final
2017-11-30 10:47:13	ga_s2bm_ard_3-2-1_53LMG_2017-11-30_final
2017-12-09 11:16:47	ga_s2bm_ard_3-2-1_51KXQ_2017-12-09_final
2017-12-14 10:32:21	ga_s2bm_ard_3-2-1_53JQF_2017-12-14_final
2017-12-16 11:07:00	ga_s2bm_ard_3-2-1_52LHN_2017-12-16_final
2017-12-19 11:19:33	ga_s2bm_ard_3-2-1_52JBR_2017-12-19_final
2018-01-03 10:32:23	ga_s2bm_ard_3-2-1_53HNB_2018-01-03_final
2018-02-17 11:23:50	ga_s2bm_ard_3-2-1_52KBU_2018-02-17_final
2018-02-25 10:37:19	ga_s2bm_ard_3-2-1_53KNV_2018-02-25_final
2018-03-19 11:20:54	ga_s2bm_ard_3-2-1_51LZE_2018-03-19_final
2018-05-31 11:32:50	ga_s2bm_ard_3-2-1_50HQH_2018-05-31_final
2018-05-31 11:32:50	ga_s2bm_ard_3-2-1_51KWU_2018-05-31_final
2018-07-01 10:57:40	ga_s2bm_ard_3-2-1_53LKG_2018-07-01_final
2018-08-12 11:41:45	ga_s2bm_ard_3-2-1_50HPK_2018-08-12_final
2018-08-18 10:22:42	ga_s2bm_ard_3-2-1_53JQL_2018-08-18_final
2018-08-22 11:44:50	ga_s2bm_ard_3-2-1_50HPJ_2018-08-22_final
2018-10-02 11:12:46	ga_s2bm_ard_3-2-1_52JCM_2018-10-02_final
2018-11-21 11:15:55	ga_s2bm_ard_3-2-1_51JYG_2018-11-21_final
2018-12-01 11:12:48	ga_s2bm_ard_3-2-1_52KCD_2018-12-01_final
2019-01-17 11:00:48	ga_s2bm_ard_3-2-1_53LMF_2019-01-17_final
2019-02-26 11:00:35	ga_s2bm_ard_3-2-1_53LMG_2019-02-26_final
2019-03-21 11:10:24	ga_s2bm_ard_3-2-1_52LHN_2019-03-21_final
2019-04-30 11:12:49	ga_s2bm_ard_3-2-1_52KFD_2019-04-30_final
2019-05-12 11:53:29	ga_s2bm_ard_3-2-1_50KPC_2019-05-12_final
2019-05-18 10:35:10	ga_s2bm_ard_3-2-1_53JQJ_2019-05-18_final
2019-06-12 11:23:35	ga_s2bm_ard_3-2-1_51KXS_2019-06-12_final
2019-08-01 11:24:12	ga_s2bm_ard_3-2-1_52KBU_2019-08-01_final
2019-08-11 11:23:33	ga_s2bm_ard_3-2-1_51KYS_2019-08-11_final
2019-09-19 11:53:16	ga_s2bm_ard_3-2-1_50KQC_2019-09-19_final
2019-09-26 11:43:00	ga_s2bm_ard_3-2-1_51KUU_2019-09-26_final
2019-10-20 11:23:15	ga_s2bm_ard_3-2-1_51KXT_2019-10-20_final
2019-11-06 11:11:51	ga_s2bm_ard_3-2-1_52LDH_2019-11-06_final
2019-11-12 11:32:14	ga_s2bm_ard_3-2-1_51KWB_2019-11-12_final
2019-11-22 11:33:21	ga_s2bm_ard_3-2-1_51KXS_2019-11-22_final
2020-01-06 10:45:43	ga_s2bm_ard_3-2-1_52JGM_2020-01-06_final
2020-01-21 11:32:26	ga_s2bm_ard_3-2-1_51KVA_2020-01-21_final
2020-01-25 11:10:22	ga_s2bm_ard_3-2-1_52LGN_2020-01-25_final
2020-02-07 11:23:22	ga_s2bm_ard_3-2-1_51KXS_2020-02-07_final
2020-02-14 11:12:01	ga_s2bm_ard_3-2-1_52KDG_2020-02-14_final
2020-04-06 11:53:28	ga_s2bm_ard_3-2-1_50KMC_2020-04-06_final
2020-04-16 11:57:16	ga_s2bm_ard_3-2-1_50HMG_2020-04-16_final.stac-item
2020-06-09 11:33:50	ga_s2bm_ard_3-2-1_51KUR_2020-06-09_final
2020-06-16 11:26:38	ga_s2bm_ard_3-2-1_51HXD_2020-06-16_final
2020-07-18 10:24:05	ga_s2bm_ard_3-2-1_53JRN_2020-07-18_final
2020-07-31 10:34:50	ga_s2bm_ard_3-2-1_53JQK_2020-07-31_final
2020-08-22 11:11:08	ga_s2bm_ard_3-2-1_52LEL_2020-08-22_final.stac-item
2020-08-29 11:03:49	ga_s2bm_ard_3-2-1_52KFV_2020-08-29_final
2020-09-15 10:55:41	ga_s2bm_ard_3-2-1_53JKG_2020-09-15_final
2020-09-28 11:01:49	ga_s2bm_ard_3-2-1_52LGH_2020-09-28_final
2020-10-19 10:34:17	ga_s2bm_ard_3-2-1_53JNN_2020-10-19_final
2020-12-05 12:03:58	ga_s2bm_ard_3-2-1_49KHR_2020-12-05_final
2020-12-21 10:43:11	ga_s2bm_ard_3-2-1_53KQR_2020-12-21_final
2020-12-24 10:53:51	ga_s2bm_ard_3-2-1_53KLP_2020-12-24_final
2021-01-22 11:25:57	ga_s2bm_ard_3-2-1_51JWG_2021-01-22_final
2021-03-29 11:43:13	ga_s2bm_ard_3-2-1_51KUT_2021-03-29_final
2021-04-02 11:23:48	ga_s2bm_ard_3-2-1_52KBV_2021-04-02_final
2021-04-22 11:21:26	ga_s2bm_ard_3-2-1_52LDJ_2021-04-22_final
2021-05-05 11:32:29	ga_s2bm_ard_3-2-1_51KVA_2021-05-05_final
2021-05-17 10:33:37	ga_s2bm_ard_3-2-1_53KPQ_2021-05-17_final
2021-05-18 11:46:01	ga_s2bm_ard_3-2-1_51JTG_2021-05-18_final
2021-05-19 11:14:57	ga_s2bm_ard_3-2-1_52JBR_2021-05-19_final
2021-07-31 11:23:04	ga_s2bm_ard_3-2-1_52KCC_2021-07-31_final
2021-08-04 11:04:44	ga_s2bm_ard_3-2-1_52JFR_2021-08-04_final
2021-08-08 10:43:56	ga_s2bm_ard_3-2-1_53KMP_2021-08-08_final
2021-08-13 11:33:31	ga_s2bm_ard_3-2-1_51KVS_2021-08-13_final
2021-08-20 11:23:35	ga_s2bm_ard_3-2-1_51KZR_2021-08-20_final
2021-09-23 11:00:34	ga_s2bm_ard_3-2-1_53LMG_2021-09-23_final
2021-12-10 12:04:55	ga_s2bm_ard_3-2-1_49JGM_2021-12-10_final
2021-12-25 11:13:17	ga_s2bm_ard_3-2-1_52KCB_2021-12-25_final
2022-02-11 12:14:02	ga_s2bm_ard_3-2-1_50KKV_2022-02-11_final
2022-02-17 10:55:35	ga_s2bm_ard_3-2-1_52JGM_2022-02-17_final
2022-02-24 10:43:47	ga_s2bm_ard_3-2-1_53KNP_2022-02-24_final
2022-03-02 11:06:03	ga_s2bm_ard_3-2-1_52JCL_2022-03-02_final
2022-04-23 11:42:40	ga_s2bm_ard_3-2-1_51KUV_2022-04-23_final
2022-05-05 10:42:54	ga_s2bm_ard_3-2-1_53KMT_2022-05-05_final
2022-05-31 11:01:07	ga_s2bm_ard_3-2-1_52LGL_2022-05-31_final
2022-06-16 11:21:36	ga_s2bm_ard_3-2-1_52LDJ_2022-06-16_final
2022-06-18 12:04:39	ga_s2bm_ard_3-2-1_50JMT_2022-06-18_final
2022-08-09 11:05:12	ga_s2bm_ard_3-2-1_52JCQ_2022-08-09_final
2022-11-04 10:52:21	ga_s2bm_ard_3-2-1_53KMV_2022-11-04_final.stac-item
2022-11-15 10:26:53	ga_s2bm_ard_3-2-1_53HNB_2022-11-15_final.stac-item
2022-12-15 10:25:03	ga_s2bm_ard_3-2-1_53JQJ_2022-12-15_final.stac-item
2023-02-04 11:31:36	ga_s2bm_ard_3-2-1_51LYD_2023-02-04_final.stac-item
2023-02-22 10:52:59	ga_s2bm_ard_3-2-1_53KKT_2023-02-22_final.stac-item
2023-05-15 11:32:58	ga_s2bm_ard_3-2-1_51KXU_2023-05-15_final.stac-item
2023-05-19 11:11:42	ga_s2bm_ard_3-2-1_52LDJ_2023-05-19_final.stac-item
2023-06-26 10:34:30	ga_s2bm_ard_3-2-1_53JNM_2023-06-26_final.stac-item
2023-07-17 11:43:30	ga_s2bm_ard_3-2-1_51KVS_2023-07-17_final.stac-item
2023-07-18 11:14:40	ga_s2bm_ard_3-2-1_52JCS_2023-07-18_final.stac-item
2023-08-17 11:14:29	ga_s2bm_ard_3-2-1_51JZN_2023-08-17_final.stac-item
2023-10-12 11:33:44	ga_s2bm_ard_3-2-1_51KWR_2023-10-12_final.stac-item
2023-10-26 11:14:10	ga_s2bm_ard_3-2-1_52KBU_2023-10-26_final.stac-item
2023-11-12 11:05:21	ga_s2bm_ard_3-2-1_52JDP_2023-11-12_final.stac-item
2023-12-31 11:36:53	ga_s2bm_ard_3-2-1_50HPJ_2023-12-31_final.stac-item
2024-01-19 10:26:50	ga_s2bm_ard_3-2-1_53HPB_2024-01-19_final.stac-item
2024-04-03 11:16:21	ga_s2bm_ard_3-2-1_51HYE_2024-04-03_final.stac-item
2024-04-24 10:45:57	ga_s2bm_ard_3-2-1_53JKF_2024-04-24_final.stac-item
2024-04-25 11:57:08	ga_s2bm_ard_3-2-1_50HLH_2024-04-25_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