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
2017-10-22 10:23:14	ga_s2bm_ard_3-2-1_53HPC_2017-10-22_final
2018-01-14 11:40:41	ga_s2bm_ard_3-2-1_51KUS_2018-01-14_final
2018-01-28 11:19:38	ga_s2bm_ard_3-2-1_52JBT_2018-01-28_final
2018-02-07 11:16:52	ga_s2bm_ard_3-2-1_51HVC_2018-02-07_final
2018-02-20 11:27:22	ga_s2bm_ard_3-2-1_51JUL_2018-02-20_final
2018-02-24 11:11:53	ga_s2bm_ard_3-2-1_51JXJ_2018-02-24_final
2018-03-04 10:35:27	ga_s2bm_ard_3-2-1_53HPB_2018-03-04_final
2018-03-06 11:11:23	ga_s2bm_ard_3-2-1_52JDR_2018-03-06_final
2018-03-12 11:35:28	ga_s2bm_ard_3-2-1_51JUF_2018-03-12_final
2018-04-07 11:53:07	ga_s2bm_ard_3-2-1_50HMK_2018-04-07_final
2018-05-06 10:37:26	ga_s2bm_ard_3-2-1_53HMD_2018-05-06_final
2018-06-07 11:25:26	ga_s2bm_ard_3-2-1_51JXH_2018-06-07_final
2018-07-07 11:21:54	ga_s2bm_ard_3-2-1_52KBB_2018-07-07_final
2018-07-27 11:17:54	ga_s2bm_ard_3-2-1_51KXS_2018-07-27_final
2018-09-07 12:02:58	ga_s2bm_ard_3-2-1_50JLN_2018-09-07_final
2018-09-08 11:30:45	ga_s2bm_ard_3-2-1_51KVT_2018-09-08_final
2018-11-10 11:44:19	ga_s2bm_ard_3-2-1_50KRU_2018-11-10_final
2019-01-26 11:32:29	ga_s2bm_ard_3-2-1_51KWA_2019-01-26_final
2019-03-14 11:23:11	ga_s2bm_ard_3-2-1_51KXT_2019-03-14_final
2019-03-14 11:25:25	ga_s2bm_ard_3-2-1_51JWJ_2019-03-14_final
2019-04-15 10:27:10	ga_s2bm_ard_3-2-1_53HPA_2019-04-15_final
2019-05-25 10:26:44	ga_s2bm_ard_3-2-1_53HPC_2019-05-25_final
2019-05-30 11:16:16	ga_s2bm_ard_3-2-1_51JYF_2019-05-30_final
2019-06-05 11:33:17	ga_s2bm_ard_3-2-1_51KXT_2019-06-05_final
2019-06-07 10:36:04	ga_s2bm_ard_3-2-1_53HQE_2019-06-07_final
2019-06-08 11:44:53	ga_s2bm_ard_3-2-1_51JTM_2019-06-08_final
2019-06-15 11:33:29	ga_s2bm_ard_3-2-1_51KUT_2019-06-15_final
2019-08-04 11:33:53	ga_s2bm_ard_3-2-1_51KVR_2019-08-04_final
2019-09-03 11:34:08	ga_s2bm_ard_3-2-1_51KXP_2019-09-03_final
2019-10-27 11:10:26	ga_s2bm_ard_3-2-1_52LHN_2019-10-27_final
2019-12-01 10:26:02	ga_s2bm_ard_3-2-1_53HPE_2019-12-01_final
2019-12-09 11:23:01	ga_s2bm_ard_3-2-1_51KZT_2019-12-09_final
2019-12-15 11:43:06	ga_s2bm_ard_3-2-1_51KVT_2019-12-15_final
2020-01-07 11:53:12	ga_s2bm_ard_3-2-1_50KQC_2020-01-07_final
2020-01-08 11:24:10	ga_s2bm_ard_3-2-1_51KWP_2020-01-08_final
2020-01-15 11:10:49	ga_s2bm_ard_3-2-1_52LFL_2020-01-15_final
2020-02-20 11:33:41	ga_s2bm_ard_3-2-1_51KVR_2020-02-20_final
2020-03-05 11:13:27	ga_s2bm_ard_3-2-1_52KEA_2020-03-05_final
2020-04-30 11:33:12	ga_s2bm_ard_3-2-1_51KVT_2020-04-30_final
2020-05-11 11:03:55	ga_s2bm_ard_3-2-1_52KGU_2020-05-11_final
2020-05-30 11:33:29	ga_s2bm_ard_3-2-1_51KWS_2020-05-30_final
2020-06-26 11:23:38	ga_s2bm_ard_3-2-1_51KZR_2020-06-26_final
2020-07-09 11:33:47	ga_s2bm_ard_3-2-1_51KVR_2020-07-09_final
2020-07-19 11:34:26	ga_s2bm_ard_3-2-1_51JWN_2020-07-19_final
2020-07-30 11:03:22	ga_s2bm_ard_3-2-1_52KEB_2020-07-30_final
2020-08-08 11:33:31	ga_s2bm_ard_3-2-1_51KWS_2020-08-08_final
2020-09-01 11:16:00	ga_s2bm_ard_3-2-1_51JXG_2020-09-01_final
2020-12-16 11:33:19	ga_s2bm_ard_3-2-1_51KXS_2020-12-16_final
2020-12-20 11:12:31	ga_s2bm_ard_3-2-1_52KDE_2020-12-20_final
2021-01-09 11:13:14	ga_s2bm_ard_3-2-1_52KEB_2021-01-09_final
2021-01-27 10:36:50	ga_s2bm_ard_3-2-1_53HNB_2021-01-27_final
2021-02-06 12:15:19	ga_s2bm_ard_3-2-1_49JGK_2021-02-06_final
2021-05-09 11:10:23	ga_s2bm_ard_3-2-1_52LHN_2021-05-09_final
2021-05-14 10:26:31	ga_s2bm_ard_3-2-1_53HQC_2021-05-14_final
2021-05-29 11:13:55	ga_s2bm_ard_3-2-1_52KBV_2021-05-29_final
2021-07-03 12:05:10	ga_s2bm_ard_3-2-1_49JFM_2021-07-03_final
2021-07-04 11:33:29	ga_s2bm_ard_3-2-1_51KWS_2021-07-04_final
2021-07-11 11:27:00	ga_s2bm_ard_3-2-1_51HVC_2021-07-11_final
2021-07-17 11:45:56	ga_s2bm_ard_3-2-1_50JNN_2021-07-17_final
2021-10-02 11:33:12	ga_s2bm_ard_3-2-1_51KWT_2021-10-02_final
2021-11-03 10:36:18	ga_s2bm_ard_3-2-1_53HPD_2021-11-03_final
2021-11-18 11:25:40	ga_s2bm_ard_3-2-1_51JWH_2021-11-18_final
2021-11-21 11:32:58	ga_s2bm_ard_3-2-1_51KVU_2021-11-21_final
2021-12-09 10:54:28	ga_s2bm_ard_3-2-1_52JFS_2021-12-09_final
2021-12-21 11:33:36	ga_s2bm_ard_3-2-1_51KWR_2021-12-21_final
2022-03-01 11:32:05	ga_s2bm_ard_3-2-1_51KWB_2022-03-01_final
2022-04-20 11:36:38	ga_s2bm_ard_3-2-1_51HUD_2022-04-20_final
2022-04-23 11:42:51	ga_s2bm_ard_3-2-1_51KVU_2022-04-23_final
2022-04-30 11:33:46	ga_s2bm_ard_3-2-1_51KXQ_2022-04-30_final
2022-05-04 11:14:51	ga_s2bm_ard_3-2-1_51JYL_2022-05-04_final
2022-05-13 11:43:10	ga_s2bm_ard_3-2-1_51KVT_2022-05-13_final
2022-06-09 11:33:54	ga_s2bm_ard_3-2-1_51KXQ_2022-06-09_final
2022-07-08 10:26:45	ga_s2bm_ard_3-2-1_53HNC_2022-07-08_final
2022-08-08 11:33:34	ga_s2bm_ard_3-2-1_51KVS_2022-08-08_final
2022-08-09 11:05:02	ga_s2bm_ard_3-2-1_52JFQ_2022-08-09_final
2022-09-30 11:45:32	ga_s2bm_ard_3-2-1_50JQP_2022-09-30_final.stac-item
2022-11-26 11:36:42	ga_s2bm_ard_3-2-1_51HUD_2022-11-26_final.stac-item
2023-01-29 11:11:38	ga_s2bm_ard_3-2-1_52LGH_2023-01-29_final.stac-item
2023-02-01 11:21:29	ga_s2bm_ard_3-2-1_52LDJ_2023-02-01_final.stac-item
2023-03-26 11:36:26	ga_s2bm_ard_3-2-1_51HVE_2023-03-26_final.stac-item
2023-04-04 12:04:02	ga_s2bm_ard_3-2-1_49KHR_2023-04-04_final.stac-item
2023-04-24 12:05:25	ga_s2bm_ard_3-2-1_50JLQ_2023-04-24_final.stac-item
2023-07-02 10:54:02	ga_s2bm_ard_3-2-1_52KHU_2023-07-02_final.stac-item
2023-07-21 11:23:19	ga_s2bm_ard_3-2-1_51KXT_2023-07-21_final.stac-item
2023-07-26 10:36:16	ga_s2bm_ard_3-2-1_53HME_2023-07-26_final.stac-item
2023-08-12 12:04:54	ga_s2bm_ard_3-2-1_49JHM_2023-08-12_final.stac-item
2023-08-13 11:35:47	ga_s2bm_ard_3-2-1_51JVH_2023-08-13_final.stac-item
2023-08-14 11:03:59	ga_s2bm_ard_3-2-1_52KDV_2023-08-14_final.stac-item
2023-08-19 11:57:21	ga_s2bm_ard_3-2-1_49HGC_2023-08-19_nrt.stac-item
2023-09-22 11:36:27	ga_s2bm_ard_3-2-1_51HVE_2023-09-22_final.stac-item
2023-11-11 11:36:44	ga_s2bm_ard_3-2-1_51HUD_2023-11-11_final.stac-item
2023-11-21 11:33:20	ga_s2bm_ard_3-2-1_51KXS_2023-11-21_final.stac-item
2023-12-01 11:32:37	ga_s2bm_ard_3-2-1_51KXV_2023-12-01_final.stac-item
2023-12-25 11:10:26	ga_s2bm_ard_3-2-1_52LHN_2023-12-25_final.stac-item
2024-03-08 10:52:39	ga_s2bm_ard_3-2-1_52KHD_2024-03-08_final.stac-item
2024-03-17 11:21:09	ga_s2bm_ard_3-2-1_51LZF_2024-03-17_nrt.stac-item
2024-03-20 11:32:19	ga_s2bm_ard_3-2-1_51KVB_2024-03-20_final.stac-item
2024-04-14 10:45:48	ga_s2bm_ard_3-2-1_52JGM_2024-04-14_final.stac-item
2024-05-12 11:45:25	ga_s2bm_ard_3-2-1_50JNQ_2024-05-12_interim.stac-item
2024-05-19 11:33:08	ga_s2bm_ard_3-2-1_51KXT_2024-05-19_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

All years