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
2017-09-19 11:55:56	ga_s2bm_ard_3-2-1_50HLK_2017-09-19_final
2017-11-04 12:13:08	ga_s2bm_ard_3-2-1_49JGK_2017-11-04_final
2018-01-12 11:02:50	ga_s2bm_ard_3-2-1_52JER_2018-01-12_final
2018-01-18 11:16:52	ga_s2bm_ard_3-2-1_51HWC_2018-01-18_final.stac-item
2018-02-24 11:07:04	ga_s2bm_ard_3-2-1_52LHM_2018-02-24_final
2018-03-02 11:33:20	ga_s2bm_ard_3-2-1_51HUC_2018-03-02_final
2018-03-05 11:42:06	ga_s2bm_ard_3-2-1_51JUN_2018-03-05_final
2018-04-01 11:35:24	ga_s2bm_ard_3-2-1_51HTC_2018-04-01_final
2018-05-02 11:00:12	ga_s2bm_ard_3-2-1_52JEN_2018-05-02_final
2018-05-11 11:26:19	ga_s2bm_ard_3-2-1_51LZD_2018-05-11_final
2018-05-23 10:32:01	ga_s2bm_ard_3-2-1_53HPA_2018-05-23_final
2018-06-02 12:13:22	ga_s2bm_ard_3-2-1_49JFN_2018-06-02_final
2018-07-31 11:00:38	ga_s2bm_ard_3-2-1_52JFT_2018-07-31_final
2018-08-16 11:21:49	ga_s2bm_ard_3-2-1_51KYT_2018-08-16_final
2018-09-17 12:03:21	ga_s2bm_ard_3-2-1_49JGM_2018-09-17_final
2018-09-27 12:04:56	ga_s2bm_ard_3-2-1_50JKM_2018-09-27_final
2018-11-12 10:46:03	ga_s2bm_ard_3-2-1_53HME_2018-11-12_final
2018-11-18 11:01:29	ga_s2bm_ard_3-2-1_52LGJ_2018-11-18_final
2018-11-24 11:23:25	ga_s2bm_ard_3-2-1_51KXS_2018-11-24_final
2019-01-16 11:32:19	ga_s2bm_ard_3-2-1_51KVB_2019-01-16_final
2019-03-08 11:06:34	ga_s2bm_ard_3-2-1_51HYD_2019-03-08_final
2019-04-13 11:26:31	ga_s2bm_ard_3-2-1_51HWE_2019-04-13_final
2019-06-21 10:17:00	ga_s2bm_ard_3-2-1_53HQB_2019-06-21_final
2019-07-18 11:43:38	ga_s2bm_ard_3-2-1_51KUS_2019-07-18_final
2019-09-30 11:26:12	ga_s2bm_ard_3-2-1_51JWF_2019-09-30_final
2019-11-11 12:04:42	ga_s2bm_ard_3-2-1_49JHN_2019-11-11_final
2019-11-18 11:55:44	ga_s2bm_ard_3-2-1_50JKP_2019-11-18_final
2019-12-06 11:14:03	ga_s2bm_ard_3-2-1_51KZP_2019-12-06_final
2020-01-07 11:53:37	ga_s2bm_ard_3-2-1_50KMB_2020-01-07_final
2020-01-21 11:31:14	ga_s2bm_ard_3-2-1_51LZE_2020-01-21_final
2020-02-09 12:04:01	ga_s2bm_ard_3-2-1_50KMV_2020-02-09_final
2020-02-09 12:04:16	ga_s2bm_ard_3-2-1_50KMU_2020-02-09_final
2020-03-22 11:05:57	ga_s2bm_ard_3-2-1_52JEL_2020-03-22_final
2020-03-30 12:05:41	ga_s2bm_ard_3-2-1_49JGJ_2020-03-30_final
2020-04-07 11:23:10	ga_s2bm_ard_3-2-1_51KXT_2020-04-07_final
2020-04-08 10:53:54	ga_s2bm_ard_3-2-1_52KHU_2020-04-08_final
2020-04-24 11:15:16	ga_s2bm_ard_3-2-1_52JBP_2020-04-24_final
2020-05-29 12:05:39	ga_s2bm_ard_3-2-1_50JLP_2020-05-29_final
2020-05-30 11:33:10	ga_s2bm_ard_3-2-1_51KXT_2020-05-30_final
2020-06-12 11:43:17	ga_s2bm_ard_3-2-1_51KUT_2020-06-12_final
2020-07-02 11:43:49	ga_s2bm_ard_3-2-1_51KTR_2020-07-02_final
2020-07-06 11:23:59	ga_s2bm_ard_3-2-1_51KXQ_2020-07-06_final
2020-10-17 11:34:40	ga_s2bm_ard_3-2-1_50JRT_2020-10-17_final
2020-10-31 11:15:39	ga_s2bm_ard_3-2-1_52JBN_2020-10-31_final
2020-11-06 11:33:58	ga_s2bm_ard_3-2-1_51KWQ_2020-11-06_final
2020-12-10 11:14:27	ga_s2bm_ard_3-2-1_51JYN_2020-12-10_final
2021-01-15 11:33:01	ga_s2bm_ard_3-2-1_51KVU_2021-01-15_final
2021-01-18 11:45:14	ga_s2bm_ard_3-2-1_51JTK_2021-01-18_final
2021-02-03 12:04:31	ga_s2bm_ard_3-2-1_49KGP_2021-02-03_final
2021-02-08 11:11:47	ga_s2bm_ard_3-2-1_52LEH_2021-02-08_final
2021-02-11 11:23:23	ga_s2bm_ard_3-2-1_51KYS_2021-02-11_final
2021-02-13 12:05:50	ga_s2bm_ard_3-2-1_50JLN_2021-02-13_final
2021-02-24 11:33:32	ga_s2bm_ard_3-2-1_51KUS_2021-02-24_final
2021-03-20 11:13:50	ga_s2bm_ard_3-2-1_52KCV_2021-03-20_final
2021-06-18 11:11:20	ga_s2bm_ard_3-2-1_52LEK_2021-06-18_final.stac-item
2021-06-25 11:02:01	ga_s2bm_ard_3-2-1_52KGG_2021-06-25_final
2021-07-15 11:04:49	ga_s2bm_ard_3-2-1_52JER_2021-07-15_final
2021-07-17 11:45:48	ga_s2bm_ard_3-2-1_50JQN_2021-07-17_final
2021-09-05 11:40:54	ga_s2bm_ard_3-2-1_51LWG_2021-09-05_final.stac-item
2021-09-29 11:26:46	ga_s2bm_ard_3-2-1_51HUD_2021-09-29_final
2021-10-05 11:47:10	ga_s2bm_ard_3-2-1_50HMH_2021-10-05_final
2022-01-20 11:33:40	ga_s2bm_ard_3-2-1_51KVR_2022-01-20_final
2022-01-21 11:03:29	ga_s2bm_ard_3-2-1_52KEA_2022-01-21_final
2022-02-23 11:12:05	ga_s2bm_ard_3-2-1_52KCG_2022-02-23_final
2022-03-14 11:41:57	ga_s2bm_ard_3-2-1_51LVC_2022-03-14_final
2022-03-25 11:11:17	ga_s2bm_ard_3-2-1_52LEK_2022-03-25_final.stac-item
2022-05-21 11:06:21	ga_s2bm_ard_3-2-1_52HCK_2022-05-21_final.stac-item
2022-05-28 10:55:13	ga_s2bm_ard_3-2-1_52JGP_2022-05-28_final
2022-06-30 11:05:28	ga_s2bm_ard_3-2-1_52JCP_2022-06-30_final
2022-10-01 11:15:06	ga_s2bm_ard_3-2-1_52JBQ_2022-10-01_final.stac-item
2022-11-06 11:32:38	ga_s2bm_ard_3-2-1_51KXV_2022-11-06_final.stac-item
2022-11-27 11:02:11	ga_s2bm_ard_3-2-1_52KHF_2022-11-27_final.stac-item
2022-12-10 11:13:26	ga_s2bm_ard_3-2-1_52KEA_2022-12-10_final.stac-item
2022-12-23 11:23:26	ga_s2bm_ard_3-2-1_52KBB_2022-12-23_final.stac-item
2022-12-30 11:10:31	ga_s2bm_ard_3-2-1_52LFN_2022-12-30_final.stac-item
2023-01-03 10:54:10	ga_s2bm_ard_3-2-1_53JKN_2023-01-03_final.stac-item
2023-01-25 11:36:55	ga_s2bm_ard_3-2-1_51HUC_2023-01-25_final.stac-item
2023-02-12 10:52:29	ga_s2bm_ard_3-2-1_52KHE_2023-02-12_final.stac-item
2023-02-21 11:22:22	ga_s2bm_ard_3-2-1_52KBF_2023-02-21_final.stac-item
2023-03-12 11:56:18	ga_s2bm_ard_3-2-1_50JKM_2023-03-12_final.stac-item
2023-03-31 10:46:24	ga_s2bm_ard_3-2-1_53HMD_2023-03-31_final.stac-item
2023-04-06 11:00:48	ga_s2bm_ard_3-2-1_52LHM_2023-04-06_final.stac-item
2023-04-25 11:35:21	ga_s2bm_ard_3-2-1_51JTK_2023-04-25_final.stac-item
2023-04-25 11:36:04	ga_s2bm_ard_3-2-1_51JTG_2023-04-25_final.stac-item
2023-04-28 11:43:13	ga_s2bm_ard_3-2-1_51KVT_2023-04-28_final.stac-item
2023-06-28 11:11:53	ga_s2bm_ard_3-2-1_52LEH_2023-06-28_final.stac-item
2023-07-03 12:05:49	ga_s2bm_ard_3-2-1_49JGJ_2023-07-03_final.stac-item
2023-07-08 11:16:42	ga_s2bm_ard_3-2-1_51HYD_2023-07-08_final.stac-item
2023-07-14 11:36:43	ga_s2bm_ard_3-2-1_50HPK_2023-07-14_final.stac-item
2023-07-15 11:05:03	ga_s2bm_ard_3-2-1_52JFQ_2023-07-15_final.stac-item
2023-09-19 11:21:14	ga_s2bm_ard_3-2-1_51LZF_2023-09-19_nrt.stac-item
2023-11-04 11:44:51	ga_s2bm_ard_3-2-1_50JQS_2023-11-04_final.stac-item
2023-11-28 11:22:19	ga_s2bm_ard_3-2-1_52KBF_2023-11-28_final.stac-item
2023-12-14 11:47:05	ga_s2bm_ard_3-2-1_50HNH_2023-12-14_final.stac-item
2024-01-21 11:01:42	ga_s2bm_ard_3-2-1_52LHH_2024-01-21_final.stac-item
2024-01-27 11:21:37	ga_s2bm_ard_3-2-1_52LBJ_2024-01-27_final.stac-item
2024-02-11 12:14:31	ga_s2bm_ard_3-2-1_49KFP_2024-02-11_nrt.stac-item
2024-02-16 11:24:03	ga_s2bm_ard_3-2-1_51KWQ_2024-02-16_final.stac-item
2024-03-04 11:14:17	ga_s2bm_ard_3-2-1_52JCT_2024-03-04_final.stac-item
2024-05-13 11:13:22	ga_s2bm_ard_3-2-1_52KCB_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

All years