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
2017-09-29 11:51:40	ga_s2bm_ard_3-2-1_50HMH_2017-09-29_final
2017-12-01 12:02:38	ga_s2bm_ard_3-2-1_50JLT_2017-12-01_final
2018-02-20 11:27:22	ga_s2bm_ard_3-2-1_51KVB_2018-02-20_final
2018-02-24 11:11:53	ga_s2bm_ard_3-2-1_51JYH_2018-02-24_final
2018-04-20 12:04:00	ga_s2bm_ard_3-2-1_50JKM_2018-04-20_final
2018-04-27 11:54:58	ga_s2bm_ard_3-2-1_50JMM_2018-04-27_final
2018-06-06 11:51:08	ga_s2bm_ard_3-2-1_50JKM_2018-06-06_final
2018-11-10 11:44:28	ga_s2bm_ard_3-2-1_51JTN_2018-11-10_final
2018-11-10 11:46:23	ga_s2bm_ard_3-2-1_50JML_2018-11-10_final
2018-11-11 11:15:36	ga_s2bm_ard_3-2-1_51JYH_2018-11-11_final
2018-11-21 11:16:37	ga_s2bm_ard_3-2-1_51HXD_2018-11-21_final
2018-12-11 11:14:23	ga_s2bm_ard_3-2-1_51JYN_2018-12-11_final
2018-12-17 11:36:11	ga_s2bm_ard_3-2-1_51JTF_2018-12-17_final
2019-03-23 11:54:01	ga_s2bm_ard_3-2-1_50KQV_2019-03-23_final
2019-04-03 11:24:05	ga_s2bm_ard_3-2-1_51KWQ_2019-04-03_final
2019-04-13 11:24:34	ga_s2bm_ard_3-2-1_51JWN_2019-04-13_final
2019-04-26 11:34:18	ga_s2bm_ard_3-2-1_51KWP_2019-04-26_final
2019-04-29 11:45:51	ga_s2bm_ard_3-2-1_51JTH_2019-04-29_final
2019-05-25 12:03:53	ga_s2bm_ard_3-2-1_50KKB_2019-05-25_final
2019-06-08 11:46:02	ga_s2bm_ard_3-2-1_50JNN_2019-06-08_final
2019-07-04 12:05:33	ga_s2bm_ard_3-2-1_50JLQ_2019-07-04_final
2019-07-12 11:24:24	ga_s2bm_ard_3-2-1_51KWP_2019-07-12_final
2019-08-11 11:26:39	ga_s2bm_ard_3-2-1_51HUE_2019-08-11_final
2019-11-14 12:13:38	ga_s2bm_ard_3-2-1_50KKB_2019-11-14_final
2019-12-05 11:42:57	ga_s2bm_ard_3-2-1_51KTU_2019-12-05_final
2020-01-04 11:42:52	ga_s2bm_ard_3-2-1_51KVU_2020-01-04_final
2020-01-18 11:26:26	ga_s2bm_ard_3-2-1_51HUE_2020-01-18_final
2020-02-23 11:47:06	ga_s2bm_ard_3-2-1_50HMH_2020-02-23_final
2020-03-14 11:45:34	ga_s2bm_ard_3-2-1_50JPP_2020-03-14_final
2020-03-17 11:55:51	ga_s2bm_ard_3-2-1_50JMN_2020-03-17_final
2020-03-27 11:56:08	ga_s2bm_ard_3-2-1_50JKM_2020-03-27_final
2020-05-10 11:34:34	ga_s2bm_ard_3-2-1_51JTN_2020-05-10_final
2020-05-24 11:15:58	ga_s2bm_ard_3-2-1_51JXG_2020-05-24_final
2020-06-18 12:06:12	ga_s2bm_ard_3-2-1_50JKM_2020-06-18_final
2020-07-02 11:44:08	ga_s2bm_ard_3-2-1_50KQV_2020-07-02_final
2020-08-07 12:05:59	ga_s2bm_ard_3-2-1_50JKN_2020-08-07_final
2020-08-18 11:35:41	ga_s2bm_ard_3-2-1_50JQP_2020-08-18_final
2020-09-21 11:16:46	ga_s2bm_ard_3-2-1_51HWD_2020-09-21_final
2020-09-30 11:47:09	ga_s2bm_ard_3-2-1_50HNH_2020-09-30_final
2020-11-20 11:16:12	ga_s2bm_ard_3-2-1_51JXF_2020-11-20_final
2020-12-06 11:33:43	ga_s2bm_ard_3-2-1_51KVR_2020-12-06_final
2020-12-20 11:14:34	ga_s2bm_ard_3-2-1_51JZM_2020-12-20_final
2020-12-26 11:33:54	ga_s2bm_ard_3-2-1_51KWQ_2020-12-26_final
2021-01-15 11:32:46	ga_s2bm_ard_3-2-1_51KVV_2021-01-15_final
2021-03-02 11:55:34	ga_s2bm_ard_3-2-1_50JNP_2021-03-02_final
2021-03-13 11:24:54	ga_s2bm_ard_3-2-1_51JXL_2021-03-13_final
2021-04-09 11:16:38	ga_s2bm_ard_3-2-1_51HXD_2021-04-09_final
2021-05-07 12:13:34	ga_s2bm_ard_3-2-1_50KKB_2021-05-07_final
2021-06-03 12:04:00	ga_s2bm_ard_3-2-1_50KKA_2021-06-03_final
2021-06-10 11:54:38	ga_s2bm_ard_3-2-1_50JNT_2021-06-10_final
2021-06-13 12:05:45	ga_s2bm_ard_3-2-1_49JGJ_2021-06-13_final
2021-06-21 11:25:35	ga_s2bm_ard_3-2-1_51JYH_2021-06-21_final
2021-08-29 11:55:13	ga_s2bm_ard_3-2-1_50JPQ_2021-08-29_final
2021-09-02 11:35:47	ga_s2bm_ard_3-2-1_50JQN_2021-09-02_final
2021-10-25 11:46:39	ga_s2bm_ard_3-2-1_50HNK_2021-10-25_final
2022-02-05 11:53:44	ga_s2bm_ard_3-2-1_50KPA_2022-02-05_final
2022-02-26 11:26:21	ga_s2bm_ard_3-2-1_51HWE_2022-02-26_final
2022-03-01 11:33:24	ga_s2bm_ard_3-2-1_51KWS_2022-03-01_final
2022-04-02 12:13:55	ga_s2bm_ard_3-2-1_49KGR_2022-04-02_final
2022-04-17 11:26:43	ga_s2bm_ard_3-2-1_51HUD_2022-04-17_final
2022-05-23 11:43:29	ga_s2bm_ard_3-2-1_51KUS_2022-05-23_final
2022-06-16 11:24:30	ga_s2bm_ard_3-2-1_51JXN_2022-06-16_final
2022-06-16 11:25:46	ga_s2bm_ard_3-2-1_51JWH_2022-06-16_final
2022-06-18 12:03:37	ga_s2bm_ard_3-2-1_50KNB_2022-06-18_final
2022-06-19 11:36:47	ga_s2bm_ard_3-2-1_51HUD_2022-06-19_final
2022-06-20 11:06:41	ga_s2bm_ard_3-2-1_51HYD_2022-06-20_final
2022-07-29 11:34:45	ga_s2bm_ard_3-2-1_51JWM_2022-07-29_final
2022-07-29 11:36:22	ga_s2bm_ard_3-2-1_51JTF_2022-07-29_final
2022-08-02 11:14:46	ga_s2bm_ard_3-2-1_51JYM_2022-08-02_final
2022-08-24 11:57:06	ga_s2bm_ard_3-2-1_50HMH_2022-08-24_final
2022-09-03 11:55:54	ga_s2bm_ard_3-2-1_50JMN_2022-09-03_final.stac-item
2022-09-11 11:14:43	ga_s2bm_ard_3-2-1_51JYM_2022-09-11_final.stac-item
2022-09-13 13:31:36	ga_s2bm_ard_3-2-1_46LHN_2022-09-13_interim.stac-item
2022-09-20 11:46:27	ga_s2bm_ard_3-2-1_50JML_2022-09-20_final.stac-item
2022-10-10 11:46:11	ga_s2bm_ard_3-2-1_50JMM_2022-10-10_final.stac-item
2022-10-20 11:46:25	ga_s2bm_ard_3-2-1_50JML_2022-10-20_final.stac-item
2022-10-23 11:56:54	ga_s2bm_ard_3-2-1_50HLJ_2022-10-23_final.stac-item
2022-11-26 11:33:15	ga_s2bm_ard_3-2-1_51KVT_2022-11-26_final.stac-item
2022-12-15 12:05:39	ga_s2bm_ard_3-2-1_49JGJ_2022-12-15_final.stac-item
2022-12-29 11:43:24	ga_s2bm_ard_3-2-1_51KVS_2022-12-29_final.stac-item
2023-01-11 13:31:34	ga_s2bm_ard_3-2-1_47LKG_2023-01-11_interim.stac-item
2023-02-04 11:34:22	ga_s2bm_ard_3-2-1_51JWN_2023-02-04_final.stac-item
2023-02-24 11:33:27	ga_s2bm_ard_3-2-1_51KWS_2023-02-24_final.stac-item
2023-02-24 11:34:11	ga_s2bm_ard_3-2-1_51KWP_2023-02-24_final.stac-item
2023-02-24 11:34:32	ga_s2bm_ard_3-2-1_51JUN_2023-02-24_final.stac-item
2023-02-24 11:34:54	ga_s2bm_ard_3-2-1_51JWL_2023-02-24_final.stac-item
2023-05-15 11:33:38	ga_s2bm_ard_3-2-1_51KUS_2023-05-15_final.stac-item
2023-05-31 11:56:55	ga_s2bm_ard_3-2-1_50HMJ_2023-05-31_final.stac-item
2023-06-01 11:26:33	ga_s2bm_ard_3-2-1_51HVE_2023-06-01_final.stac-item
2023-07-14 11:36:39	ga_s2bm_ard_3-2-1_50HQK_2023-07-14_final.stac-item
2023-08-02 12:06:15	ga_s2bm_ard_3-2-1_50JKM_2023-08-02_final.stac-item
2023-09-11 12:04:17	ga_s2bm_ard_3-2-1_50KKV_2023-09-11_final.stac-item
2023-09-11 12:05:33	ga_s2bm_ard_3-2-1_49JGK_2023-09-11_final.stac-item
2023-09-11 12:06:13	ga_s2bm_ard_3-2-1_50JKM_2023-09-11_final.stac-item
2023-09-12 11:35:59	ga_s2bm_ard_3-2-1_51JVG_2023-09-12_final.stac-item
2023-09-18 11:57:18	ga_s2bm_ard_3-2-1_49HGC_2023-09-18_nrt.stac-item
2023-12-18 11:26:32	ga_s2bm_ard_3-2-1_51HUE_2023-12-18_final.stac-item
2024-03-07 11:25:11	ga_s2bm_ard_3-2-1_51JVK_2024-03-07_final.stac-item
2024-04-13 11:15:13	ga_s2bm_ard_3-2-1_51JYK_2024-04-13_final.stac-item
2024-05-13 11:16:36	ga_s2bm_ard_3-2-1_51HYD_2024-05-13_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

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