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
2017-07-15 09:52:35	ga_s2bm_ard_3-2-1_55GCR_2017-07-15_final
2017-08-31 09:43:47	ga_s2bm_ard_3-2-1_55HDE_2017-08-31_final
2017-12-07 10:37:15	ga_s2bm_ard_3-2-1_53KMU_2017-12-07_final
2017-12-31 10:16:56	ga_s2bm_ard_3-2-1_54JUP_2017-12-31_final
2018-01-12 11:02:50	ga_s2bm_ard_3-2-1_52JCP_2018-01-12_final
2018-01-28 11:25:10	ga_s2bm_ard_3-2-1_51HXD_2018-01-28_final
2018-02-03 11:40:42	ga_s2bm_ard_3-2-1_51JTJ_2018-02-03_final
2018-02-17 11:23:50	ga_s2bm_ard_3-2-1_51KXQ_2018-02-17_final
2018-02-19 10:23:20	ga_s2bm_ard_3-2-1_54HTF_2018-02-19_final
2018-04-13 10:27:05	ga_s2bm_ard_3-2-1_54KTG_2018-04-13_final
2018-04-23 12:13:20	ga_s2bm_ard_3-2-1_49JFM_2018-04-23_final
2018-06-20 11:26:19	ga_s2bm_ard_3-2-1_51KXU_2018-06-20_final
2018-07-14 09:32:38	ga_s2bm_ard_3-2-1_55HDT_2018-07-14_final
2018-07-29 10:17:03	ga_s2bm_ard_3-2-1_54KVC_2018-07-29_final
2018-08-21 12:13:39	ga_s2bm_ard_3-2-1_49JFM_2018-08-21_final
2018-09-07 10:22:40	ga_s2bm_ard_3-2-1_54HUG_2018-09-07_final
2018-09-27 10:22:43	ga_s2bm_ard_3-2-1_53HNC_2018-09-27_final
2019-01-19 10:05:33	ga_s2bm_ard_3-2-1_54JWM_2019-01-19_final
2019-03-09 10:31:46	ga_s2bm_ard_3-2-1_54KTG_2019-03-09_final
2019-05-30 11:16:11	ga_s2bm_ard_3-2-1_52JCL_2019-05-30_final
2019-06-02 09:48:06	ga_s2bm_ard_3-2-1_55GER_2019-06-02_final
2019-07-06 11:05:28	ga_s2bm_ard_3-2-1_52JDP_2019-07-06_final
2019-08-19 10:41:00	ga_s2bm_ard_3-2-1_53LPF_2019-08-19_final
2020-01-14 11:43:38	ga_s2bm_ard_3-2-1_51KUR_2020-01-14_final
2020-01-17 10:16:46	ga_s2bm_ard_3-2-1_53HQB_2020-01-17_final
2020-01-23 10:32:16	ga_s2bm_ard_3-2-1_53KQV_2020-01-23_final
2020-02-09 12:03:46	ga_s2bm_ard_3-2-1_50KMA_2020-02-09_final
2020-03-13 12:14:54	ga_s2bm_ard_3-2-1_49JGM_2020-03-13_final
2020-03-14 11:46:49	ga_s2bm_ard_3-2-1_50HPJ_2020-03-14_final
2020-03-21 09:57:30	ga_s2bm_ard_3-2-1_55HCT_2020-03-21_final
2020-03-31 11:32:52	ga_s2bm_ard_3-2-1_51KXU_2020-03-31_final
2020-04-04 11:16:34	ga_s2bm_ard_3-2-1_51HYD_2020-04-04_final
2020-05-19 10:19:55	ga_s2bm_ard_3-2-1_54LYP_2020-05-19_final
2020-07-22 10:05:39	ga_s2bm_ard_3-2-1_54JYL_2020-07-22_final
2020-09-19 10:36:30	ga_s2bm_ard_3-2-1_53HLD_2020-09-19_final
2020-10-05 10:54:26	ga_s2bm_ard_3-2-1_53JLM_2020-10-05_final
2020-10-07 09:58:04	ga_s2bm_ard_3-2-1_55GCR_2020-10-07_final
2020-10-18 11:04:59	ga_s2bm_ard_3-2-1_52JCR_2020-10-18_final
2020-10-26 10:26:01	ga_s2bm_ard_3-2-1_54HUK_2020-10-26_final
2020-10-30 10:05:30	ga_s2bm_ard_3-2-1_54JXM_2020-10-30_final
2020-11-23 09:47:33	ga_s2bm_ard_3-2-1_55HDT_2020-11-23_final
2020-12-15 10:20:45	ga_s2bm_ard_3-2-1_54LZK_2020-12-15_final
2020-12-17 11:00:50	ga_s2bm_ard_3-2-1_53LLF_2020-12-17_final
2020-12-26 11:33:31	ga_s2bm_ard_3-2-1_51KUS_2020-12-26_final
2021-02-27 10:03:55	ga_s2bm_ard_3-2-1_54JYT_2021-02-27_final
2021-03-15 10:20:53	ga_s2bm_ard_3-2-1_54LYK_2021-03-15_final
2021-04-18 10:06:32	ga_s2bm_ard_3-2-1_55HBB_2021-04-18_final
2021-06-13 12:04:22	ga_s2bm_ard_3-2-1_50KKV_2021-06-13_final
2021-06-25 11:01:52	ga_s2bm_ard_3-2-1_53KLB_2021-06-25_final
2021-07-03 10:22:25	ga_s2bm_ard_3-2-1_54KXD_2021-07-03_final
2021-07-30 11:55:44	ga_s2bm_ard_3-2-1_50JLP_2021-07-30_final
2021-09-06 11:13:48	ga_s2bm_ard_3-2-1_52KCV_2021-09-06_final
2021-11-13 10:34:28	ga_s2bm_ard_3-2-1_54JTR_2021-11-13_final
2021-11-18 11:27:00	ga_s2bm_ard_3-2-1_51HUC_2021-11-18_final
2021-11-29 10:50:16	ga_s2bm_ard_3-2-1_53LPH_2021-11-29_final.stac-item
2021-12-03 10:35:27	ga_s2bm_ard_3-2-1_53JMH_2021-12-03_final
2022-01-17 09:46:23	ga_s2bm_ard_3-2-1_55HCC_2022-01-17_final
2022-01-22 10:35:51	ga_s2bm_ard_3-2-1_53HQE_2022-01-22_final
2022-01-26 11:56:08	ga_s2bm_ard_3-2-1_50JKM_2022-01-26_final
2022-02-01 10:34:48	ga_s2bm_ard_3-2-1_53JNK_2022-02-01_final
2022-03-28 11:23:59	ga_s2bm_ard_3-2-1_51KWQ_2022-03-28_final
2022-04-27 11:23:58	ga_s2bm_ard_3-2-1_52KBU_2022-04-27_final
2022-05-02 10:34:08	ga_s2bm_ard_3-2-1_53JNN_2022-05-02_final
2022-05-05 10:43:00	ga_s2bm_ard_3-2-1_53KPS_2022-05-05_final
2022-05-23 11:47:14	ga_s2bm_ard_3-2-1_50HLH_2022-05-23_final
2022-05-26 11:54:40	ga_s2bm_ard_3-2-1_50JMT_2022-05-26_final
2022-06-04 10:42:39	ga_s2bm_ard_3-2-1_53KNU_2022-06-04_final
2022-07-06 11:24:02	ga_s2bm_ard_3-2-1_51KXQ_2022-07-06_final
2022-07-11 10:34:34	ga_s2bm_ard_3-2-1_54JTR_2022-07-11_final
2022-09-09 10:36:23	ga_s2bm_ard_3-2-1_53HND_2022-09-09_final.stac-item
2022-09-11 11:14:48	ga_s2bm_ard_3-2-1_52JDR_2022-09-11_final.stac-item
2022-10-16 10:20:13	ga_s2bm_ard_3-2-1_54LXN_2022-10-16_final.stac-item
2022-10-22 10:40:47	ga_s2bm_ard_3-2-1_53LPF_2022-10-22_final.stac-item
2022-11-05 10:20:37	ga_s2bm_ard_3-2-1_54LYL_2022-11-05_final.stac-item
2022-11-05 10:24:17	ga_s2bm_ard_3-2-1_53JRM_2022-11-05_final.stac-item
2022-11-12 10:16:16	ga_s2bm_ard_3-2-1_54HUJ_2022-11-12_final.stac-item
2022-12-08 10:29:50	ga_s2bm_ard_3-2-1_54LXP_2022-12-08_final.stac-item
2022-12-30 11:13:07	ga_s2bm_ard_3-2-1_52KCC_2022-12-30_final.stac-item
2023-01-03 10:53:12	ga_s2bm_ard_3-2-1_52KHB_2023-01-03_final.stac-item
2023-01-06 11:00:34	ga_s2bm_ard_3-2-1_53LMG_2023-01-06_final.stac-item
2023-01-11 10:16:30	ga_s2bm_ard_3-2-1_54HTH_2023-01-11_final.stac-item
2023-01-26 11:02:38	ga_s2bm_ard_3-2-1_53KKU_2023-01-26_final.stac-item
2023-01-26 11:03:07	ga_s2bm_ard_3-2-1_52KHB_2023-01-26_final.stac-item
2023-02-23 12:05:29	ga_s2bm_ard_3-2-1_49JGK_2023-02-23_final.stac-item
2023-03-30 11:16:29	ga_s2bm_ard_3-2-1_51HXE_2023-03-30_final.stac-item
2023-04-16 11:01:53	ga_s2bm_ard_3-2-1_53KLB_2023-04-16_final.stac-item
2023-06-01 11:23:39	ga_s2bm_ard_3-2-1_51KZR_2023-06-01_final.stac-item
2023-06-16 10:36:55	ga_s2bm_ard_3-2-1_53HNB_2023-06-16_final.stac-item
2023-08-06 10:07:08	ga_s2bm_ard_3-2-1_54HYE_2023-08-06_final.stac-item
2023-11-11 09:57:48	ga_s2bm_ard_3-2-1_55HCS_2023-11-11_final.stac-item
2023-11-12 11:05:50	ga_s2bm_ard_3-2-1_52JDM_2023-11-12_final.stac-item
2023-11-30 12:05:48	ga_s2bm_ard_3-2-1_50JLN_2023-11-30_final.stac-item
2023-12-17 10:12:10	ga_s2bm_ard_3-2-1_54KYE_2023-12-17_final.stac-item
2023-12-18 11:24:38	ga_s2bm_ard_3-2-1_52JBS_2023-12-18_final.stac-item
2024-03-03 11:45:11	ga_s2bm_ard_3-2-1_51JTK_2024-03-03_final.stac-item
2024-03-12 10:31:09	ga_s2bm_ard_3-2-1_54LWJ_2024-03-12_final.stac-item
2024-03-19 10:24:13	ga_s2bm_ard_3-2-1_54JTS_2024-03-19_final.stac-item
2024-03-21 11:01:02	ga_s2bm_ard_3-2-1_52LGL_2024-03-21_final.stac-item
2024-04-16 09:46:21	ga_s2bm_ard_3-2-1_55HDC_2024-04-16_final.stac-item
2024-04-16 11:26:59	ga_s2bm_ard_3-2-1_51HVC_2024-04-16_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