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
2017-07-31 11:56:33	ga_s2bm_ard_3-2-1_50HLH_2017-07-31_final
2017-09-14 11:02:49	ga_s2bm_ard_3-2-1_52KFB_2017-09-14_final
2017-10-06 11:40:29	ga_s2bm_ard_3-2-1_51KVB_2017-10-06_final
2017-10-07 11:06:57	ga_s2bm_ard_3-2-1_52LEK_2017-10-07_final.stac-item
2017-10-27 11:11:48	ga_s2bm_ard_3-2-1_52KFC_2017-10-27_final
2017-12-30 10:47:14	ga_s2bm_ard_3-2-1_53JKJ_2017-12-30_final
2018-01-28 11:25:10	ga_s2bm_ard_3-2-1_51JUF_2018-01-28_final
2018-05-03 10:27:07	ga_s2bm_ard_3-2-1_53HPA_2018-05-03_final
2018-07-07 11:21:54	ga_s2bm_ard_3-2-1_51KZQ_2018-07-07_final
2018-07-31 10:57:12	ga_s2bm_ard_3-2-1_52LHN_2018-07-31_final
2018-08-02 11:44:54	ga_s2bm_ard_3-2-1_50HQJ_2018-08-02_final
2018-08-27 10:49:47	ga_s2bm_ard_3-2-1_53JKG_2018-08-27_final
2018-10-14 11:52:46	ga_s2bm_ard_3-2-1_50JNL_2018-10-14_final
2018-10-22 11:07:23	ga_s2bm_ard_3-2-1_52LDH_2018-10-22_final
2018-12-01 11:13:43	ga_s2bm_ard_3-2-1_52KDV_2018-12-01_final
2019-01-10 11:13:53	ga_s2bm_ard_3-2-1_51KZQ_2019-01-10_final
2019-01-11 10:45:43	ga_s2bm_ard_3-2-1_53JKG_2019-01-11_final
2019-03-06 12:05:06	ga_s2bm_ard_3-2-1_50JLR_2019-03-06_final
2019-03-06 12:06:07	ga_s2bm_ard_3-2-1_50JKM_2019-03-06_final
2019-03-24 11:23:57	ga_s2bm_ard_3-2-1_51KXQ_2019-03-24_final
2019-04-12 11:54:31	ga_s2bm_ard_3-2-1_50KMU_2019-04-12_final
2019-06-01 11:56:38	ga_s2bm_ard_3-2-1_50HNK_2019-06-01_final
2019-08-14 11:35:14	ga_s2bm_ard_3-2-1_51JWK_2019-08-14_final
2019-11-12 11:33:21	ga_s2bm_ard_3-2-1_51KUT_2019-11-12_final
2019-11-25 11:42:53	ga_s2bm_ard_3-2-1_51KVU_2019-11-25_final
2019-12-13 11:03:36	ga_s2bm_ard_3-2-1_52KGV_2019-12-13_final
2020-01-04 11:47:12	ga_s2bm_ard_3-2-1_50HPG_2020-01-04_final.stac-item
2020-01-09 10:55:58	ga_s2bm_ard_3-2-1_52JEL_2020-01-09_final
2020-01-15 11:14:54	ga_s2bm_ard_3-2-1_52JDQ_2020-01-15_final
2020-02-17 11:26:22	ga_s2bm_ard_3-2-1_51HWE_2020-02-17_final
2020-03-05 11:16:34	ga_s2bm_ard_3-2-1_51HYD_2020-03-05_final
2020-03-22 11:04:59	ga_s2bm_ard_3-2-1_52JEQ_2020-03-22_final
2020-04-03 11:43:26	ga_s2bm_ard_3-2-1_51KUS_2020-04-03_final
2020-06-19 11:32:57	ga_s2bm_ard_3-2-1_51KXU_2020-06-19_final
2020-06-19 11:33:25	ga_s2bm_ard_3-2-1_51KUT_2020-06-19_final
2020-08-27 12:04:22	ga_s2bm_ard_3-2-1_49KGQ_2020-08-27_final
2020-09-17 11:36:50	ga_s2bm_ard_3-2-1_50HQJ_2020-09-17_final
2020-09-21 11:16:28	ga_s2bm_ard_3-2-1_51HXE_2020-09-21_final
2020-12-10 11:13:02	ga_s2bm_ard_3-2-1_52KDC_2020-12-10_final
2021-01-27 10:35:27	ga_s2bm_ard_3-2-1_53JMH_2021-01-27_final
2021-01-29 11:14:49	ga_s2bm_ard_3-2-1_52JCR_2021-01-29_final
2021-02-01 11:23:06	ga_s2bm_ard_3-2-1_51KZT_2021-02-01_final
2021-03-09 11:41:32	ga_s2bm_ard_3-2-1_51LUE_2021-03-09_final
2021-04-27 12:14:51	ga_s2bm_ard_3-2-1_49JGM_2021-04-27_final
2021-06-08 11:15:43	ga_s2bm_ard_3-2-1_51JXH_2021-06-08_final
2021-06-11 11:26:58	ga_s2bm_ard_3-2-1_51HVC_2021-06-11_final
2021-07-13 12:04:33	ga_s2bm_ard_3-2-1_49KGP_2021-07-13_final
2021-07-18 11:13:06	ga_s2bm_ard_3-2-1_52KDC_2021-07-18_final
2021-07-20 11:56:42	ga_s2bm_ard_3-2-1_50HLK_2021-07-20_final
2021-07-31 11:25:00	ga_s2bm_ard_3-2-1_51JWL_2021-07-31_final
2021-08-03 11:33:00	ga_s2bm_ard_3-2-1_51KWU_2021-08-03_final
2021-09-02 11:34:22	ga_s2bm_ard_3-2-1_51JWN_2021-09-02_final
2021-10-03 11:00:44	ga_s2bm_ard_3-2-1_52LHM_2021-10-03_final
2021-10-10 10:54:02	ga_s2bm_ard_3-2-1_52KGU_2021-10-10_final
2021-10-10 10:55:25	ga_s2bm_ard_3-2-1_53JKH_2021-10-10_final
2021-10-20 10:55:29	ga_s2bm_ard_3-2-1_52JGN_2021-10-20_final
2021-11-17 11:56:49	ga_s2bm_ard_3-2-1_50HLJ_2021-11-17_final
2021-11-21 11:35:47	ga_s2bm_ard_3-2-1_50JQN_2021-11-21_final
2021-11-24 11:44:02	ga_s2bm_ard_3-2-1_51KUP_2021-11-24_final
2021-12-22 11:06:01	ga_s2bm_ard_3-2-1_52JCL_2021-12-22_final
2022-01-31 11:03:57	ga_s2bm_ard_3-2-1_52KEU_2022-01-31_final
2022-03-23 10:36:56	ga_s2bm_ard_3-2-1_53HPA_2022-03-23_final
2022-03-25 11:16:34	ga_s2bm_ard_3-2-1_51HYD_2022-03-25_final
2022-04-04 11:15:39	ga_s2bm_ard_3-2-1_51JXH_2022-04-04_final
2022-04-09 12:03:41	ga_s2bm_ard_3-2-1_50KKB_2022-04-09_final
2022-04-09 12:05:12	ga_s2bm_ard_3-2-1_49JGL_2022-04-09_final
2022-07-02 11:44:07	ga_s2bm_ard_3-2-1_50KRV_2022-07-02_final
2022-08-07 12:05:19	ga_s2bm_ard_3-2-1_49JGL_2022-08-07_final
2022-08-10 10:34:43	ga_s2bm_ard_3-2-1_53JNL_2022-08-10_final
2022-09-04 11:23:12	ga_s2bm_ard_3-2-1_51KYT_2022-09-04_final.stac-item
2022-11-17 11:01:58	ga_s2bm_ard_3-2-1_52KGG_2022-11-17_final.stac-item
2022-11-19 11:43:00	ga_s2bm_ard_3-2-1_51KUU_2022-11-19_final.stac-item
2022-11-23 11:22:00	ga_s2bm_ard_3-2-1_52KDG_2022-11-23_final.stac-item
2022-12-14 10:55:58	ga_s2bm_ard_3-2-1_52JFL_2022-12-14_final.stac-item
2022-12-30 11:13:43	ga_s2bm_ard_3-2-1_52KEV_2022-12-30_final.stac-item
2023-01-10 10:44:03	ga_s2bm_ard_3-2-1_53JNN_2023-01-10_final.stac-item
2023-01-15 11:32:25	ga_s2bm_ard_3-2-1_51KWA_2023-01-15_final.stac-item
2023-02-20 11:53:10	ga_s2bm_ard_3-2-1_50KRC_2023-02-20_final.stac-item
2023-03-10 11:11:37	ga_s2bm_ard_3-2-1_52LDJ_2023-03-10_final.stac-item
2023-04-01 11:55:09	ga_s2bm_ard_3-2-1_50JNR_2023-04-01_final.stac-item
2023-04-22 11:23:05	ga_s2bm_ard_3-2-1_52KCC_2023-04-22_final.stac-item
2023-05-08 11:47:17	ga_s2bm_ard_3-2-1_50HLH_2023-05-08_final.stac-item
2023-06-08 11:13:20	ga_s2bm_ard_3-2-1_52KEB_2023-06-08_final.stac-item
2023-06-24 11:34:09	ga_s2bm_ard_3-2-1_51KXP_2023-06-24_final.stac-item
2023-07-18 11:14:14	ga_s2bm_ard_3-2-1_51KZP_2023-07-18_final.stac-item
2023-09-19 11:26:10	ga_s2bm_ard_3-2-1_51JVG_2023-09-19_final.stac-item
2023-11-06 10:44:09	ga_s2bm_ard_3-2-1_53JNN_2023-11-06_final.stac-item
2023-11-23 10:36:54	ga_s2bm_ard_3-2-1_53HPA_2023-11-23_final.stac-item
2023-12-01 11:35:16	ga_s2bm_ard_3-2-1_51JWJ_2023-12-01_final.stac-item
2023-12-25 11:13:49	ga_s2bm_ard_3-2-1_52KDV_2023-12-25_final.stac-item
2024-01-20 11:31:05	ga_s2bm_ard_3-2-1_51LZF_2024-01-20_nrt.stac-item
2024-01-27 11:23:14	ga_s2bm_ard_3-2-1_51KYT_2024-01-27_final.stac-item
2024-02-04 10:44:08	ga_s2bm_ard_3-2-1_53JMN_2024-02-04_final.stac-item
2024-02-16 11:26:53	ga_s2bm_ard_3-2-1_51HUD_2024-02-16_final.stac-item
2024-03-01 11:04:22	ga_s2bm_ard_3-2-1_52JGS_2024-03-01_final.stac-item
2024-03-05 10:45:32	ga_s2bm_ard_3-2-1_53JMG_2024-03-05_final.stac-item
2024-03-27 11:23:07	ga_s2bm_ard_3-2-1_51KZT_2024-03-27_final.stac-item
2024-04-03 11:16:35	ga_s2bm_ard_3-2-1_51HYD_2024-04-03_final.stac-item
2024-05-17 10:55:25	ga_s2bm_ard_3-2-1_52JGN_2024-05-17_nrt.stac-item
2024-05-22 11:43:18	ga_s2bm_ard_3-2-1_51KTT_2024-05-22_nrt.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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