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
2017-11-15 11:40:36	ga_s2bm_ard_3-2-1_51KUT_2017-11-15_final
2018-01-21 11:30:33	ga_s2bm_ard_3-2-1_51KVU_2018-01-21_final
2018-03-02 11:30:31	ga_s2bm_ard_3-2-1_51KYT_2018-03-02_final
2018-05-25 11:09:09	ga_s2bm_ard_3-2-1_52KDA_2018-05-25_final
2018-06-17 11:19:48	ga_s2bm_ard_3-2-1_51KWQ_2018-06-17_final
2018-09-08 11:30:45	ga_s2bm_ard_3-2-1_51KYT_2018-09-08_final
2018-09-11 11:41:45	ga_s2bm_ard_3-2-1_51KVU_2018-09-11_final
2018-10-08 11:30:50	ga_s2bm_ard_3-2-1_51KVB_2018-10-08_final
2018-10-26 10:50:30	ga_s2bm_ard_3-2-1_52JGQ_2018-10-26_final
2018-12-21 11:11:32	ga_s2bm_ard_3-2-1_52LDJ_2018-12-21_final
2019-02-05 11:32:40	ga_s2bm_ard_3-2-1_51KXV_2019-02-05_final
2019-02-21 11:56:25	ga_s2bm_ard_3-2-1_50JLL_2019-02-21_final
2019-03-11 11:13:16	ga_s2bm_ard_3-2-1_52KDB_2019-03-11_final
2019-04-27 11:06:13	ga_s2bm_ard_3-2-1_52JCL_2019-04-27_final
2019-04-29 11:45:36	ga_s2bm_ard_3-2-1_51JTJ_2019-04-29_final
2019-05-06 11:34:00	ga_s2bm_ard_3-2-1_51KXQ_2019-05-06_final
2019-05-29 11:47:02	ga_s2bm_ard_3-2-1_50HQH_2019-05-29_final
2019-06-04 10:26:40	ga_s2bm_ard_3-2-1_53HQC_2019-06-04_final
2019-07-24 12:04:08	ga_s2bm_ard_3-2-1_49KHR_2019-07-24_final
2019-09-06 11:43:02	ga_s2bm_ard_3-2-1_51KUU_2019-09-06_final
2019-09-06 11:43:27	ga_s2bm_ard_3-2-1_51KVS_2019-09-06_final
2019-09-13 11:32:29	ga_s2bm_ard_3-2-1_51KWA_2019-09-13_final
2019-09-18 10:44:16	ga_s2bm_ard_3-2-1_53JPM_2019-09-18_final
2019-09-21 10:53:35	ga_s2bm_ard_3-2-1_53KMQ_2019-09-21_final
2019-09-30 11:23:10	ga_s2bm_ard_3-2-1_51KYT_2019-09-30_final
2019-10-26 11:43:16	ga_s2bm_ard_3-2-1_51KUT_2019-10-26_final
2019-11-03 11:00:45	ga_s2bm_ard_3-2-1_52LHM_2019-11-03_final
2019-11-22 11:33:39	ga_s2bm_ard_3-2-1_51KWR_2019-11-22_final
2019-12-29 11:23:57	ga_s2bm_ard_3-2-1_51KWQ_2019-12-29_final
2020-01-06 10:45:27	ga_s2bm_ard_3-2-1_53JNG_2020-01-06_final
2020-03-28 11:23:45	ga_s2bm_ard_3-2-1_51KXR_2020-03-28_final
2020-04-10 11:33:31	ga_s2bm_ard_3-2-1_51KUS_2020-04-10_final
2020-05-07 11:23:33	ga_s2bm_ard_3-2-1_51KZR_2020-05-07_final
2020-05-10 11:33:00	ga_s2bm_ard_3-2-1_51KVU_2020-05-10_final
2020-05-25 10:45:30	ga_s2bm_ard_3-2-1_53JKH_2020-05-25_final
2020-05-28 10:55:55	ga_s2bm_ard_3-2-1_53JKF_2020-05-28_final
2020-05-29 10:25:07	ga_s2bm_ard_3-2-1_53JQJ_2020-05-29_final
2020-07-16 11:23:52	ga_s2bm_ard_3-2-1_51KZQ_2020-07-16_final
2020-07-29 11:32:22	ga_s2bm_ard_3-2-1_51KVB_2020-07-29_final
2020-07-29 11:34:02	ga_s2bm_ard_3-2-1_51KVQ_2020-07-29_final
2020-10-04 11:24:05	ga_s2bm_ard_3-2-1_51KWQ_2020-10-04_final
2020-10-18 11:04:54	ga_s2bm_ard_3-2-1_52JDR_2020-10-18_final
2020-10-27 11:33:41	ga_s2bm_ard_3-2-1_51KXR_2020-10-27_final
2020-10-29 10:34:28	ga_s2bm_ard_3-2-1_53JNM_2020-10-29_final
2020-11-18 10:34:08	ga_s2bm_ard_3-2-1_53JPN_2020-11-18_final
2020-11-30 11:14:16	ga_s2bm_ard_3-2-1_52JDT_2020-11-30_final
2021-02-21 11:22:46	ga_s2bm_ard_3-2-1_52KCD_2021-02-21_final
2021-02-28 11:10:42	ga_s2bm_ard_3-2-1_52LGM_2021-02-28_final
2021-03-07 11:00:44	ga_s2bm_ard_3-2-1_52LHM_2021-03-07_final
2021-03-13 11:23:06	ga_s2bm_ard_3-2-1_51KZT_2021-03-13_final
2021-03-22 11:53:54	ga_s2bm_ard_3-2-1_50KQV_2021-03-22_final
2021-04-12 11:23:20	ga_s2bm_ard_3-2-1_52KBB_2021-04-12_final
2021-05-09 11:13:23	ga_s2bm_ard_3-2-1_52KBB_2021-05-09_final
2021-05-12 11:26:28	ga_s2bm_ard_3-2-1_51HVE_2021-05-12_final
2021-05-12 11:26:34	ga_s2bm_ard_3-2-1_51HXD_2021-05-12_final
2021-06-13 12:04:42	ga_s2bm_ard_3-2-1_49JHN_2021-06-13_final
2021-07-23 12:05:53	ga_s2bm_ard_3-2-1_50JLN_2021-07-23_final
2021-07-27 11:43:20	ga_s2bm_ard_3-2-1_51KTT_2021-07-27_final
2021-08-30 11:26:37	ga_s2bm_ard_3-2-1_51HWD_2021-08-30_final
2021-09-14 10:33:56	ga_s2bm_ard_3-2-1_53JRN_2021-09-14_final
2021-10-13 11:03:50	ga_s2bm_ard_3-2-1_52KEV_2021-10-13_final
2021-10-26 11:13:15	ga_s2bm_ard_3-2-1_52KBC_2021-10-26_final
2021-11-21 11:35:38	ga_s2bm_ard_3-2-1_51JVH_2021-11-21_final
2021-12-31 11:33:52	ga_s2bm_ard_3-2-1_51KWQ_2021-12-31_final
2022-02-12 11:45:15	ga_s2bm_ard_3-2-1_50JPQ_2022-02-12_final
2022-03-13 10:33:51	ga_s2bm_ard_3-2-1_53KPP_2022-03-13_final
2022-04-20 11:33:40	ga_s2bm_ard_3-2-1_51KVR_2022-04-20_final
2022-04-24 11:13:08	ga_s2bm_ard_3-2-1_52KBC_2022-04-24_final
2022-05-27 11:23:57	ga_s2bm_ard_3-2-1_51KXQ_2022-05-27_final
2022-06-22 11:42:18	ga_s2bm_ard_3-2-1_51KVB_2022-06-22_final
2022-06-23 11:13:23	ga_s2bm_ard_3-2-1_52KDB_2022-06-23_final
2022-06-26 11:21:37	ga_s2bm_ard_3-2-1_52LDJ_2022-06-26_final
2022-07-14 10:44:21	ga_s2bm_ard_3-2-1_53JPM_2022-07-14_final
2022-07-30 11:05:03	ga_s2bm_ard_3-2-1_52JFQ_2022-07-30_final
2022-08-15 11:23:23	ga_s2bm_ard_3-2-1_52KBB_2022-08-15_final
2022-08-15 11:24:18	ga_s2bm_ard_3-2-1_51KWP_2022-08-15_final
2022-09-07 11:36:54	ga_s2bm_ard_3-2-1_50HPJ_2022-09-07_final.stac-item
2022-09-21 11:10:44	ga_s2bm_ard_3-2-1_52LGM_2022-09-21_final.stac-item
2022-09-21 11:13:06	ga_s2bm_ard_3-2-1_52KDC_2022-09-21_final.stac-item
2022-09-25 10:55:46	ga_s2bm_ard_3-2-1_52JFM_2022-09-25_final.stac-item
2022-11-03 11:23:22	ga_s2bm_ard_3-2-1_51KYS_2022-11-03_final.stac-item
2022-11-18 10:34:19	ga_s2bm_ard_3-2-1_53JQM_2022-11-18_final.stac-item
2022-12-17 11:05:11	ga_s2bm_ard_3-2-1_52JFP_2022-12-17_final.stac-item
2022-12-19 11:43:17	ga_s2bm_ard_3-2-1_51KTT_2022-12-19_final.stac-item
2023-02-05 11:03:17	ga_s2bm_ard_3-2-1_52KEB_2023-02-05_final.stac-item
2023-02-11 11:24:13	ga_s2bm_ard_3-2-1_51KWP_2023-02-11_final.stac-item
2023-02-22 10:52:55	ga_s2bm_ard_3-2-1_53KLT_2023-02-22_final.stac-item
2023-03-07 11:01:02	ga_s2bm_ard_3-2-1_52LHL_2023-03-07_final.stac-item
2023-04-05 11:33:37	ga_s2bm_ard_3-2-1_51KUS_2023-04-05_final.stac-item
2023-06-24 11:34:04	ga_s2bm_ard_3-2-1_51KVQ_2023-06-24_final.stac-item
2023-06-28 11:13:49	ga_s2bm_ard_3-2-1_52KEV_2023-06-28_final.stac-item
2023-07-23 10:27:07	ga_s2bm_ard_3-2-1_53HQA_2023-07-23_final.stac-item
2023-12-02 11:04:00	ga_s2bm_ard_3-2-1_52KEU_2023-12-02_final.stac-item
2023-12-06 10:45:44	ga_s2bm_ard_3-2-1_52JGM_2023-12-06_final.stac-item
2024-01-09 10:27:04	ga_s2bm_ard_3-2-1_53HPA_2024-01-09_final.stac-item
2024-02-08 10:24:40	ga_s2bm_ard_3-2-1_53JQL_2024-02-08_final.stac-item
2024-02-22 11:43:15	ga_s2bm_ard_3-2-1_51KUT_2024-02-22_final.stac-item
2024-03-11 11:03:58	ga_s2bm_ard_3-2-1_52KDU_2024-03-11_final.stac-item
2024-03-14 11:13:11	ga_s2bm_ard_3-2-1_52KBC_2024-03-14_final.stac-item
2024-03-18 10:52:14	ga_s2bm_ard_3-2-1_53KKA_2024-03-18_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