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
2017-07-16 10:58:39	ga_s2bm_ard_3-2-1_52KEA_2017-07-16_final
2017-08-28 11:11:56	ga_s2bm_ard_3-2-1_52JCT_2017-08-28_final
2018-01-11 11:27:21	ga_s2bm_ard_3-2-1_51KWQ_2018-01-11_final
2018-01-21 11:30:33	ga_s2bm_ard_3-2-1_51KWA_2018-01-21_final
2018-02-01 10:57:09	ga_s2bm_ard_3-2-1_52LHN_2018-02-01_final
2018-03-14 12:13:13	ga_s2bm_ard_3-2-1_50KKA_2018-03-14_final
2018-03-16 11:11:54	ga_s2bm_ard_3-2-1_52KCD_2018-03-16_final
2018-04-01 11:30:00	ga_s2bm_ard_3-2-1_51KWQ_2018-04-01_final
2018-04-13 10:27:05	ga_s2bm_ard_3-2-1_53HNB_2018-04-13_final
2018-05-05 11:13:23	ga_s2bm_ard_3-2-1_51HWC_2018-05-05_final.stac-item
2018-08-13 11:11:16	ga_s2bm_ard_3-2-1_52KDA_2018-08-13_final
2018-09-25 11:17:51	ga_s2bm_ard_3-2-1_51KXU_2018-09-25_final
2018-09-27 12:02:43	ga_s2bm_ard_3-2-1_50JLT_2018-09-27_final
2018-10-04 11:52:44	ga_s2bm_ard_3-2-1_50JLP_2018-10-04_final
2018-10-11 11:41:47	ga_s2bm_ard_3-2-1_50HPJ_2018-10-11_final
2018-11-10 11:45:22	ga_s2bm_ard_3-2-1_50JNQ_2018-11-10_final
2018-11-14 11:23:36	ga_s2bm_ard_3-2-1_51KYR_2018-11-14_final
2018-11-18 11:03:17	ga_s2bm_ard_3-2-1_52KEB_2018-11-18_final
2018-12-14 11:21:26	ga_s2bm_ard_3-2-1_52LDJ_2018-12-14_final
2018-12-20 11:43:06	ga_s2bm_ard_3-2-1_51KVT_2018-12-20_final
2019-01-12 11:53:10	ga_s2bm_ard_3-2-1_50KRC_2019-01-12_final
2019-01-26 11:36:05	ga_s2bm_ard_3-2-1_50JQM_2019-01-26_final
2019-03-04 11:26:45	ga_s2bm_ard_3-2-1_51HUD_2019-03-04_final
2019-03-18 11:05:50	ga_s2bm_ard_3-2-1_52JCM_2019-03-18_final
2019-03-28 11:05:03	ga_s2bm_ard_3-2-1_52JEQ_2019-03-28_final
2019-05-02 11:52:27	ga_s2bm_ard_3-2-1_50KQG_2019-05-02_final.stac-item
2019-05-05 12:04:50	ga_s2bm_ard_3-2-1_50JKT_2019-05-05_final
2019-05-15 10:27:02	ga_s2bm_ard_3-2-1_53HNB_2019-05-15_final
2019-06-15 11:37:10	ga_s2bm_ard_3-2-1_50HQH_2019-06-15_final
2019-06-19 11:13:17	ga_s2bm_ard_3-2-1_52KDC_2019-06-19_final
2019-07-03 10:54:20	ga_s2bm_ard_3-2-1_52JHT_2019-07-03_final
2019-07-04 12:03:35	ga_s2bm_ard_3-2-1_50KLC_2019-07-04_final
2019-08-01 11:23:00	ga_s2bm_ard_3-2-1_51KZU_2019-08-01_final
2019-08-03 12:04:07	ga_s2bm_ard_3-2-1_49KHR_2019-08-03_final
2019-09-04 11:03:37	ga_s2bm_ard_3-2-1_52KEA_2019-09-04_final
2019-09-30 11:22:24	ga_s2bm_ard_3-2-1_51KZA_2019-09-30_final
2019-10-26 11:46:20	ga_s2bm_ard_3-2-1_50JPL_2019-10-26_final
2019-11-13 11:06:02	ga_s2bm_ard_3-2-1_52JDL_2019-11-13_final
2020-02-06 11:57:03	ga_s2bm_ard_3-2-1_50HLH_2020-02-06_final
2020-04-19 12:03:22	ga_s2bm_ard_3-2-1_50KLC_2020-04-19_final
2020-04-23 11:46:32	ga_s2bm_ard_3-2-1_50HNK_2020-04-23_final
2020-05-04 11:13:30	ga_s2bm_ard_3-2-1_52KDA_2020-05-04_final
2020-05-31 11:05:21	ga_s2bm_ard_3-2-1_52JDP_2020-05-31_final
2020-07-16 11:23:40	ga_s2bm_ard_3-2-1_51KYR_2020-07-16_final
2020-07-19 11:36:30	ga_s2bm_ard_3-2-1_51HUE_2020-07-19_final
2020-07-22 11:42:48	ga_s2bm_ard_3-2-1_51KUV_2020-07-22_final
2020-07-29 11:33:05	ga_s2bm_ard_3-2-1_51KYT_2020-07-29_final
2020-08-05 11:23:19	ga_s2bm_ard_3-2-1_52KCB_2020-08-05_final
2020-08-07 12:04:51	ga_s2bm_ard_3-2-1_50JKT_2020-08-07_final
2020-08-08 11:36:23	ga_s2bm_ard_3-2-1_50JQL_2020-08-08_final
2020-08-27 12:05:00	ga_s2bm_ard_3-2-1_49JHM_2020-08-27_final
2020-09-03 11:56:33	ga_s2bm_ard_3-2-1_50HNK_2020-09-03_final
2020-09-16 12:03:25	ga_s2bm_ard_3-2-1_50KMC_2020-09-16_final
2020-09-18 11:00:46	ga_s2bm_ard_3-2-1_52LHM_2020-09-18_final
2020-09-20 11:46:39	ga_s2bm_ard_3-2-1_50HNK_2020-09-20_final
2020-11-09 11:43:20	ga_s2bm_ard_3-2-1_50KRC_2020-11-09_final
2020-11-13 11:23:01	ga_s2bm_ard_3-2-1_51KXU_2020-11-13_final
2020-11-23 11:22:52	ga_s2bm_ard_3-2-1_52KBD_2020-11-23_final
2020-12-11 10:46:07	ga_s2bm_ard_3-2-1_53HLE_2020-12-11_final
2020-12-26 11:32:29	ga_s2bm_ard_3-2-1_51KVA_2020-12-26_final
2020-12-30 11:13:27	ga_s2bm_ard_3-2-1_51KZS_2020-12-30_final
2021-01-22 11:24:19	ga_s2bm_ard_3-2-1_51JZN_2021-01-22_final
2021-03-16 11:33:47	ga_s2bm_ard_3-2-1_51KUR_2021-03-16_final
2021-04-02 11:23:48	ga_s2bm_ard_3-2-1_51KZQ_2021-04-02_final
2021-05-01 11:56:51	ga_s2bm_ard_3-2-1_50HLJ_2021-05-01_final
2021-05-24 10:26:41	ga_s2bm_ard_3-2-1_53HNC_2021-05-24_final
2021-06-30 11:56:15	ga_s2bm_ard_3-2-1_50JKM_2021-06-30_final
2021-07-14 11:33:50	ga_s2bm_ard_3-2-1_51KUR_2021-07-14_final
2021-07-31 11:24:46	ga_s2bm_ard_3-2-1_51JWM_2021-07-31_final
2021-11-29 10:53:56	ga_s2bm_ard_3-2-1_52KGU_2021-11-29_final
2021-12-11 11:32:20	ga_s2bm_ard_3-2-1_51KXA_2021-12-11_final
2022-01-02 12:13:50	ga_s2bm_ard_3-2-1_49KHR_2022-01-02_final
2022-01-18 10:54:11	ga_s2bm_ard_3-2-1_52JGT_2022-01-18_final
2022-03-01 11:36:39	ga_s2bm_ard_3-2-1_51HUD_2022-03-01_final
2022-03-21 11:34:01	ga_s2bm_ard_3-2-1_51KUQ_2022-03-21_final
2022-04-13 11:43:00	ga_s2bm_ard_3-2-1_51KTU_2022-04-13_final
2022-05-16 11:54:57	ga_s2bm_ard_3-2-1_50JLS_2022-05-16_final
2022-07-26 11:22:57	ga_s2bm_ard_3-2-1_51KZU_2022-07-26_final
2022-07-26 11:24:09	ga_s2bm_ard_3-2-1_51KZP_2022-07-26_final
2022-08-11 11:43:33	ga_s2bm_ard_3-2-1_51KUS_2022-08-11_final
2022-08-18 11:32:22	ga_s2bm_ard_3-2-1_51KVB_2022-08-18_final
2022-08-22 11:13:34	ga_s2bm_ard_3-2-1_52KDA_2022-08-22_final
2022-09-27 11:34:25	ga_s2bm_ard_3-2-1_51JWN_2022-09-27_final.stac-item
2022-10-04 11:23:01	ga_s2bm_ard_3-2-1_52KCC_2022-10-04_final.stac-item
2022-10-04 11:23:52	ga_s2bm_ard_3-2-1_51KYQ_2022-10-04_final.stac-item
2022-10-14 11:26:35	ga_s2bm_ard_3-2-1_51HXD_2022-10-14_final.stac-item
2022-11-14 10:55:59	ga_s2bm_ard_3-2-1_52JEL_2022-11-14_final.stac-item
2022-11-26 11:33:59	ga_s2bm_ard_3-2-1_51KVQ_2022-11-26_final.stac-item
2023-01-04 10:27:03	ga_s2bm_ard_3-2-1_53HPA_2023-01-04_final.stac-item
2023-01-12 11:23:31	ga_s2bm_ard_3-2-1_51KZR_2023-01-12_final.stac-item
2023-01-28 11:42:07	ga_s2bm_ard_3-2-1_51KWB_2023-01-28_final.stac-item
2023-02-03 12:03:38	ga_s2bm_ard_3-2-1_50KLB_2023-02-03_final.stac-item
2023-02-24 11:32:11	ga_s2bm_ard_3-2-1_51KXB_2023-02-24_final.stac-item
2023-06-07 11:43:52	ga_s2bm_ard_3-2-1_50KRA_2023-06-07_final.stac-item
2023-06-18 11:14:07	ga_s2bm_ard_3-2-1_52KDU_2023-06-18_final.stac-item
2023-11-21 11:33:49	ga_s2bm_ard_3-2-1_51KXQ_2023-11-21_final.stac-item
2023-11-27 11:53:21	ga_s2bm_ard_3-2-1_50KNC_2023-11-27_final.stac-item
2023-12-10 12:04:39	ga_s2bm_ard_3-2-1_49JHN_2023-12-10_final.stac-item
2023-12-25 11:14:18	ga_s2bm_ard_3-2-1_52JDT_2023-12-25_final.stac-item
2024-03-27 11:22:56	ga_s2bm_ard_3-2-1_51KYU_2024-03-27_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