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
2017-10-06 11:40:29	ga_s2bm_ard_3-2-1_51LUF_2017-10-06_final
2018-01-27 11:50:39	ga_s2bm_ard_3-2-1_50KRC_2018-01-27_final
2018-03-01 12:02:40	ga_s2bm_ard_3-2-1_50KLA_2018-03-01_final
2018-04-04 11:40:13	ga_s2bm_ard_3-2-1_51LUE_2018-04-04_final
2018-05-31 11:27:22	ga_s2bm_ard_3-2-1_51KYT_2018-05-31_final
2018-06-06 11:51:08	ga_s2bm_ard_3-2-1_50JNL_2018-06-06_final
2018-06-14 11:10:36	ga_s2bm_ard_3-2-1_51KZQ_2018-06-14_final
2018-06-19 12:02:48	ga_s2bm_ard_3-2-1_50KKV_2018-06-19_final
2018-07-09 12:03:10	ga_s2bm_ard_3-2-1_50KKB_2018-07-09_final
2018-07-30 11:31:34	ga_s2bm_ard_3-2-1_51JWL_2018-07-30_final
2018-08-16 11:21:49	ga_s2bm_ard_3-2-1_51HVD_2018-08-16_final
2018-09-01 11:35:18	ga_s2bm_ard_3-2-1_50JPL_2018-09-01_final
2018-09-08 11:30:45	ga_s2bm_ard_3-2-1_51KVU_2018-09-08_final
2018-09-21 11:40:23	ga_s2bm_ard_3-2-1_51LVC_2018-09-21_final
2018-10-25 11:18:26	ga_s2bm_ard_3-2-1_51KZS_2018-10-25_final
2018-12-28 11:05:16	ga_s2bm_ard_3-2-1_52JDP_2018-12-28_final
2019-01-28 12:13:55	ga_s2bm_ard_3-2-1_49KHR_2019-01-28_final
2019-04-12 11:55:20	ga_s2bm_ard_3-2-1_50JPQ_2019-04-12_final
2019-04-15 12:06:09	ga_s2bm_ard_3-2-1_50JLM_2019-04-15_final
2019-05-06 11:36:54	ga_s2bm_ard_3-2-1_51HTD_2019-05-06_final
2019-05-19 11:45:41	ga_s2bm_ard_3-2-1_50JQP_2019-05-19_final
2019-06-07 12:14:17	ga_s2bm_ard_3-2-1_50KKV_2019-06-07_final
2019-06-14 12:04:50	ga_s2bm_ard_3-2-1_49JHN_2019-06-14_final
2019-07-25 11:32:28	ga_s2bm_ard_3-2-1_51KVB_2019-07-25_final
2019-08-21 11:22:58	ga_s2bm_ard_3-2-1_51KZU_2019-08-21_final
2019-09-13 11:31:21	ga_s2bm_ard_3-2-1_51LZE_2019-09-13_final
2019-09-23 11:35:50	ga_s2bm_ard_3-2-1_50JQN_2019-09-23_final
2019-10-30 11:25:57	ga_s2bm_ard_3-2-1_51JWG_2019-10-30_final
2019-11-15 11:43:57	ga_s2bm_ard_3-2-1_51KUQ_2019-11-15_final
2020-01-22 11:04:36	ga_s2bm_ard_3-2-1_52JFR_2020-01-22_final
2020-02-03 11:42:02	ga_s2bm_ard_3-2-1_51KWB_2020-02-03_final
2020-02-03 11:46:27	ga_s2bm_ard_3-2-1_50HPK_2020-02-03_final
2020-02-10 11:34:20	ga_s2bm_ard_3-2-1_51JWN_2020-02-10_final
2020-03-04 11:42:40	ga_s2bm_ard_3-2-1_51KVV_2020-03-04_final
2020-03-14 11:47:22	ga_s2bm_ard_3-2-1_50HMG_2020-03-14_final.stac-item
2020-05-10 11:34:14	ga_s2bm_ard_3-2-1_51JXN_2020-05-10_final
2020-05-23 11:44:28	ga_s2bm_ard_3-2-1_51JUN_2020-05-23_final
2020-07-25 11:56:53	ga_s2bm_ard_3-2-1_50HMJ_2020-07-25_final
2020-08-08 11:34:03	ga_s2bm_ard_3-2-1_51KVQ_2020-08-08_final
2020-09-04 11:24:22	ga_s2bm_ard_3-2-1_51JZN_2020-09-04_final
2020-09-17 11:34:38	ga_s2bm_ard_3-2-1_50JRT_2020-09-17_final
2020-10-14 11:23:13	ga_s2bm_ard_3-2-1_51KXT_2020-10-14_final
2021-02-08 11:16:21	ga_s2bm_ard_3-2-1_51HYE_2021-02-08_final
2021-02-23 12:05:27	ga_s2bm_ard_3-2-1_49JGK_2021-02-23_final
2021-04-05 11:34:15	ga_s2bm_ard_3-2-1_51KUP_2021-04-05_final
2021-05-28 11:43:01	ga_s2bm_ard_3-2-1_51KUU_2021-05-28_final
2021-05-29 11:13:40	ga_s2bm_ard_3-2-1_52KBA_2021-05-29_final
2021-06-20 11:55:57	ga_s2bm_ard_3-2-1_50JLN_2021-06-20_final
2021-07-04 11:36:28	ga_s2bm_ard_3-2-1_50JPL_2021-07-04_final
2021-07-14 11:36:50	ga_s2bm_ard_3-2-1_50HQJ_2021-07-14_final
2021-07-23 12:04:30	ga_s2bm_ard_3-2-1_49KHP_2021-07-23_final
2021-08-19 11:56:22	ga_s2bm_ard_3-2-1_50JML_2021-08-19_final
2021-08-22 12:03:58	ga_s2bm_ard_3-2-1_49KHR_2021-08-22_final
2021-09-11 12:05:37	ga_s2bm_ard_3-2-1_50JKP_2021-09-11_final
2021-09-22 11:34:12	ga_s2bm_ard_3-2-1_51KVP_2021-09-22_final
2021-10-16 11:13:41	ga_s2bm_ard_3-2-1_52KBA_2021-10-16_final
2021-11-01 11:32:33	ga_s2bm_ard_3-2-1_51KVA_2021-11-01_final
2021-11-20 12:03:41	ga_s2bm_ard_3-2-1_50KKB_2021-11-20_final
2021-12-07 11:56:09	ga_s2bm_ard_3-2-1_50JKM_2021-12-07_final
2022-03-04 11:41:52	ga_s2bm_ard_3-2-1_51LWC_2022-03-04_final
2022-03-21 11:36:03	ga_s2bm_ard_3-2-1_50JQM_2022-03-21_final
2022-03-28 11:23:59	ga_s2bm_ard_3-2-1_51KWQ_2022-03-28_final
2022-04-10 11:32:59	ga_s2bm_ard_3-2-1_51KYT_2022-04-10_final
2022-05-11 11:04:59	ga_s2bm_ard_3-2-1_52JEQ_2022-05-11_final
2022-05-24 11:15:25	ga_s2bm_ard_3-2-1_51JYJ_2022-05-24_final
2022-06-09 11:34:07	ga_s2bm_ard_3-2-1_51KXP_2022-06-09_final
2022-06-12 11:45:20	ga_s2bm_ard_3-2-1_50JQQ_2022-06-12_final
2022-06-15 11:55:31	ga_s2bm_ard_3-2-1_50JLQ_2022-06-15_final
2022-06-27 10:54:20	ga_s2bm_ard_3-2-1_52JFT_2022-06-27_final
2022-07-01 12:13:45	ga_s2bm_ard_3-2-1_50KKB_2022-07-01_final
2022-07-06 11:23:40	ga_s2bm_ard_3-2-1_52KBA_2022-07-06_final
2022-07-17 10:54:52	ga_s2bm_ard_3-2-1_52JFR_2022-07-17_final
2022-08-04 11:55:58	ga_s2bm_ard_3-2-1_50JMN_2022-08-04_final
2022-08-07 12:03:45	ga_s2bm_ard_3-2-1_50KLB_2022-08-07_final
2022-08-17 12:05:03	ga_s2bm_ard_3-2-1_49JGM_2022-08-17_final
2022-10-03 11:53:16	ga_s2bm_ard_3-2-1_50KQC_2022-10-03_final.stac-item
2022-12-25 12:04:27	ga_s2bm_ard_3-2-1_49KHP_2022-12-25_final.stac-item
2023-01-29 11:15:01	ga_s2bm_ard_3-2-1_52JCQ_2023-01-29_final.stac-item
2023-02-07 11:43:16	ga_s2bm_ard_3-2-1_51KTT_2023-02-07_final.stac-item
2023-02-11 11:23:05	ga_s2bm_ard_3-2-1_51KZT_2023-02-11_final.stac-item
2023-05-05 11:36:45	ga_s2bm_ard_3-2-1_51HUD_2023-05-05_final.stac-item
2023-05-24 12:05:20	ga_s2bm_ard_3-2-1_49JGL_2023-05-24_final.stac-item
2023-06-04 11:32:51	ga_s2bm_ard_3-2-1_51KVV_2023-06-04_final.stac-item
2023-06-13 12:03:28	ga_s2bm_ard_3-2-1_50KMC_2023-06-13_final.stac-item
2023-07-04 11:32:52	ga_s2bm_ard_3-2-1_51KVV_2023-07-04_final.stac-item
2023-07-07 11:42:18	ga_s2bm_ard_3-2-1_51KVB_2023-07-07_final.stac-item
2023-07-27 11:41:39	ga_s2bm_ard_3-2-1_51LUE_2023-07-27_final.stac-item
2023-08-02 12:03:46	ga_s2bm_ard_3-2-1_50KLB_2023-08-02_final.stac-item
2023-08-03 11:34:41	ga_s2bm_ard_3-2-1_51JTN_2023-08-03_final.stac-item
2023-09-01 12:03:28	ga_s2bm_ard_3-2-1_50KMC_2023-09-01_final.stac-item
2023-09-12 11:32:50	ga_s2bm_ard_3-2-1_51KVV_2023-09-12_final.stac-item
2023-10-21 12:03:25	ga_s2bm_ard_3-2-1_50KMC_2023-10-21_final.stac-item
2023-10-25 11:42:43	ga_s2bm_ard_3-2-1_51KVV_2023-10-25_final.stac-item
2023-11-15 11:13:39	ga_s2bm_ard_3-2-1_52KBA_2023-11-15_final.stac-item
2023-12-21 11:33:49	ga_s2bm_ard_3-2-1_51KUR_2023-12-21_final.stac-item
2023-12-30 12:05:02	ga_s2bm_ard_3-2-1_49JGM_2023-12-30_final.stac-item
2024-01-09 12:05:36	ga_s2bm_ard_3-2-1_50JLP_2024-01-09_final.stac-item
2024-01-23 11:47:23	ga_s2bm_ard_3-2-1_50HMG_2024-01-23_final.stac-item
2024-02-06 11:22:16	ga_s2bm_ard_3-2-1_51KYB_2024-02-06_final.stac-item
2024-04-19 11:32:45	ga_s2bm_ard_3-2-1_51KWV_2024-04-19_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