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
2017-08-28 11:11:56	ga_s2bm_ard_3-2-1_52JDQ_2017-08-28_final
2017-10-13 11:30:03	ga_s2bm_ard_3-2-1_51KUR_2017-10-13_final
2017-12-22 11:27:17	ga_s2bm_ard_3-2-1_51KXT_2017-12-22_final
2018-02-17 11:23:50	ga_s2bm_ard_3-2-1_52KBU_2018-02-17_final
2018-03-26 11:11:52	ga_s2bm_ard_3-2-1_51JXF_2018-03-26_final
2018-04-22 10:57:14	ga_s2bm_ard_3-2-1_52KEB_2018-04-22_final
2018-06-19 10:26:12	ga_s2bm_ard_3-2-1_53HPD_2018-06-19_final
2018-07-05 10:40:12	ga_s2bm_ard_3-2-1_53LPG_2018-07-05_final
2018-07-20 11:32:26	ga_s2bm_ard_3-2-1_51KVU_2018-07-20_final
2018-08-26 11:17:49	ga_s2bm_ard_3-2-1_51KZS_2018-08-26_final
2018-09-30 10:31:00	ga_s2bm_ard_3-2-1_53JQN_2018-09-30_final
2018-10-23 10:41:55	ga_s2bm_ard_3-2-1_53JNN_2018-10-23_final
2018-11-26 10:24:15	ga_s2bm_ard_3-2-1_53JRM_2018-11-26_final
2018-11-27 11:33:52	ga_s2bm_ard_3-2-1_51KWQ_2018-11-27_final
2018-12-07 11:36:55	ga_s2bm_ard_3-2-1_51HTC_2018-12-07_final
2019-01-01 10:46:03	ga_s2bm_ard_3-2-1_53HME_2019-01-01_final
2019-01-11 10:46:05	ga_s2bm_ard_3-2-1_53HME_2019-01-11_final
2019-03-08 11:00:52	ga_s2bm_ard_3-2-1_52LHL_2019-03-08_final
2019-03-09 10:34:11	ga_s2bm_ard_3-2-1_53JRM_2019-03-09_final
2019-03-17 11:32:56	ga_s2bm_ard_3-2-1_51KWU_2019-03-17_final
2019-04-25 10:24:26	ga_s2bm_ard_3-2-1_53JRM_2019-04-25_final
2019-04-29 11:43:22	ga_s2bm_ard_3-2-1_51KUT_2019-04-29_final
2019-05-10 11:13:22	ga_s2bm_ard_3-2-1_52KBC_2019-05-10_final
2019-06-07 10:34:21	ga_s2bm_ard_3-2-1_53JNN_2019-06-07_final
2019-07-07 10:34:22	ga_s2bm_ard_3-2-1_53JNN_2019-07-07_final
2019-09-23 11:32:54	ga_s2bm_ard_3-2-1_51KXU_2019-09-23_final
2019-09-23 11:34:10	ga_s2bm_ard_3-2-1_51KWP_2019-09-23_final
2019-10-28 10:41:55	ga_s2bm_ard_3-2-1_53KQB_2019-10-28_final
2019-10-30 11:23:22	ga_s2bm_ard_3-2-1_51KZS_2019-10-30_final
2019-12-01 10:24:14	ga_s2bm_ard_3-2-1_53JRM_2019-12-01_final
2020-01-08 11:21:48	ga_s2bm_ard_3-2-1_51LYC_2020-01-08_final
2020-01-25 11:13:47	ga_s2bm_ard_3-2-1_52KBV_2020-01-25_final
2020-02-04 11:11:20	ga_s2bm_ard_3-2-1_52LGJ_2020-02-04_final
2020-02-22 10:33:49	ga_s2bm_ard_3-2-1_53KPP_2020-02-22_final
2020-03-11 11:32:53	ga_s2bm_ard_3-2-1_51KXU_2020-03-11_final
2020-03-11 11:33:21	ga_s2bm_ard_3-2-1_51KXS_2020-03-11_final
2020-04-19 12:05:16	ga_s2bm_ard_3-2-1_50JKQ_2020-04-19_final
2020-05-30 11:33:25	ga_s2bm_ard_3-2-1_51KXS_2020-05-30_final
2020-07-01 10:34:06	ga_s2bm_ard_3-2-1_53JQN_2020-07-01_final
2020-07-02 11:43:17	ga_s2bm_ard_3-2-1_51KUT_2020-07-02_final
2020-07-24 10:44:08	ga_s2bm_ard_3-2-1_53JNN_2020-07-24_final
2020-07-26 11:23:05	ga_s2bm_ard_3-2-1_52KCC_2020-07-26_final
2020-08-31 11:43:47	ga_s2bm_ard_3-2-1_51KUR_2020-08-31_final
2020-09-17 11:33:00	ga_s2bm_ard_3-2-1_51KWU_2020-09-17_final
2020-09-19 10:33:47	ga_s2bm_ard_3-2-1_53KRP_2020-09-19_final
2020-10-14 11:22:56	ga_s2bm_ard_3-2-1_51KZU_2020-10-14_final
2020-10-19 10:33:56	ga_s2bm_ard_3-2-1_53KPP_2020-10-19_final
2020-12-09 11:43:09	ga_s2bm_ard_3-2-1_51KVT_2020-12-09_final
2020-12-12 11:53:14	ga_s2bm_ard_3-2-1_50KQC_2020-12-12_final
2021-01-15 11:33:23	ga_s2bm_ard_3-2-1_51KXS_2021-01-15_final
2021-02-12 10:51:42	ga_s2bm_ard_3-2-1_53LLC_2021-02-12_final
2021-06-14 11:36:27	ga_s2bm_ard_3-2-1_50JPL_2021-06-14_final
2021-06-21 11:23:58	ga_s2bm_ard_3-2-1_51KXQ_2021-06-21_final
2021-06-24 11:33:39	ga_s2bm_ard_3-2-1_51KXR_2021-06-24_final
2021-07-08 11:15:23	ga_s2bm_ard_3-2-1_52JBP_2021-07-08_final
2021-07-09 10:46:11	ga_s2bm_ard_3-2-1_53HLE_2021-07-09_final
2021-07-26 12:15:02	ga_s2bm_ard_3-2-1_49JFM_2021-07-26_final
2021-08-03 11:33:54	ga_s2bm_ard_3-2-1_51KXQ_2021-08-03_final
2021-10-10 10:53:58	ga_s2bm_ard_3-2-1_53KKP_2021-10-10_final
2021-10-14 10:33:47	ga_s2bm_ard_3-2-1_53KRP_2021-10-14_final
2021-10-16 11:14:33	ga_s2bm_ard_3-2-1_52JDS_2021-10-16_final
2021-11-03 10:34:33	ga_s2bm_ard_3-2-1_53JQL_2021-11-03_final
2021-11-21 11:32:41	ga_s2bm_ard_3-2-1_51KWV_2021-11-21_final
2021-11-21 11:32:44	ga_s2bm_ard_3-2-1_51KVV_2021-11-21_final
2021-12-01 11:33:04	ga_s2bm_ard_3-2-1_51KXT_2021-12-01_final
2021-12-11 11:32:56	ga_s2bm_ard_3-2-1_51KVU_2021-12-11_final
2021-12-31 11:33:34	ga_s2bm_ard_3-2-1_51KXR_2021-12-31_final
2022-01-14 11:13:03	ga_s2bm_ard_3-2-1_52KCC_2022-01-14_final
2022-02-19 11:33:07	ga_s2bm_ard_3-2-1_51KWT_2022-02-19_final
2022-03-04 11:42:57	ga_s2bm_ard_3-2-1_51KUU_2022-03-04_final
2022-04-12 10:34:00	ga_s2bm_ard_3-2-1_53JQN_2022-04-12_final
2022-06-18 12:04:45	ga_s2bm_ard_3-2-1_49JGN_2022-06-18_final
2022-06-26 11:24:02	ga_s2bm_ard_3-2-1_51KXQ_2022-06-26_final
2022-08-14 10:17:03	ga_s2bm_ard_3-2-1_54HUF_2022-08-14_final
2022-08-18 11:32:57	ga_s2bm_ard_3-2-1_51KXU_2022-08-18_final
2022-09-19 10:33:51	ga_s2bm_ard_3-2-1_53KQP_2022-09-19_final.stac-item
2022-09-24 11:22:57	ga_s2bm_ard_3-2-1_51KYU_2022-09-24_final.stac-item
2022-10-01 11:11:47	ga_s2bm_ard_3-2-1_52LEH_2022-10-01_final.stac-item
2022-10-25 10:50:38	ga_s2bm_ard_3-2-1_53LNG_2022-10-25_final.stac-item
2022-11-23 11:22:29	ga_s2bm_ard_3-2-1_51KZA_2022-11-23_final.stac-item
2023-02-09 10:45:42	ga_s2bm_ard_3-2-1_53JKG_2023-02-09_final.stac-item
2023-02-19 10:45:46	ga_s2bm_ard_3-2-1_52JGM_2023-02-19_final.stac-item
2023-03-09 11:43:28	ga_s2bm_ard_3-2-1_51KVS_2023-03-09_final.stac-item
2023-03-26 11:33:15	ga_s2bm_ard_3-2-1_51KWT_2023-03-26_final.stac-item
2023-03-27 11:05:08	ga_s2bm_ard_3-2-1_52JDQ_2023-03-27_final.stac-item
2023-05-19 11:12:44	ga_s2bm_ard_3-2-1_52KFD_2023-05-19_final.stac-item
2023-06-02 10:50:38	ga_s2bm_ard_3-2-1_53LPG_2023-06-02_final.stac-item
2023-06-06 10:33:54	ga_s2bm_ard_3-2-1_53KQP_2023-06-06_final.stac-item
2023-06-26 10:33:42	ga_s2bm_ard_3-2-1_53KPQ_2023-06-26_final.stac-item
2023-06-28 11:15:09	ga_s2bm_ard_3-2-1_52JCQ_2023-06-28_final.stac-item
2023-08-05 10:36:15	ga_s2bm_ard_3-2-1_53HME_2023-08-05_final.stac-item
2023-08-27 11:13:59	ga_s2bm_ard_3-2-1_52KBV_2023-08-27_final.stac-item
2023-11-22 11:01:24	ga_s2bm_ard_3-2-1_52LHJ_2023-11-22_final.stac-item
2023-12-20 10:24:19	ga_s2bm_ard_3-2-1_53JRM_2023-12-20_final.stac-item
2023-12-28 11:23:08	ga_s2bm_ard_3-2-1_51KZT_2023-12-28_final.stac-item
2023-12-30 12:04:19	ga_s2bm_ard_3-2-1_49KGQ_2023-12-30_final.stac-item
2024-01-02 10:34:04	ga_s2bm_ard_3-2-1_53JQN_2024-01-02_final.stac-item
2024-01-16 11:57:09	ga_s2bm_ard_3-2-1_49HGC_2024-01-16_nrt.stac-item
2024-01-22 10:33:52	ga_s2bm_ard_3-2-1_53KPP_2024-01-22_final.stac-item
2024-01-24 11:14:28	ga_s2bm_ard_3-2-1_51JYN_2024-01-24_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