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
2017-11-22 11:30:28	ga_s2bm_ard_3-2-1_51KXP_2017-11-22_final
2018-03-22 11:29:32	ga_s2bm_ard_3-2-1_50JPL_2018-03-22_final
2018-03-28 11:51:53	ga_s2bm_ard_3-2-1_50KRC_2018-03-28_final
2018-04-10 12:02:47	ga_s2bm_ard_3-2-1_50KLB_2018-04-10_final
2018-04-11 11:30:56	ga_s2bm_ard_3-2-1_51JWM_2018-04-11_final
2018-04-14 11:46:05	ga_s2bm_ard_3-2-1_50HMJ_2018-04-14_final
2018-04-20 12:04:00	ga_s2bm_ard_3-2-1_50JKT_2018-04-20_final
2018-06-13 11:37:58	ga_s2bm_ard_3-2-1_51KVV_2018-06-13_final
2018-08-02 11:38:21	ga_s2bm_ard_3-2-1_51KUQ_2018-08-02_final
2018-10-14 11:52:46	ga_s2bm_ard_3-2-1_50HLH_2018-10-14_final
2018-10-15 11:20:58	ga_s2bm_ard_3-2-1_51KXP_2018-10-15_final
2018-10-18 11:32:25	ga_s2bm_ard_3-2-1_51KXV_2018-10-18_final
2018-10-31 11:39:52	ga_s2bm_ard_3-2-1_50JQL_2018-10-31_final
2018-12-04 11:23:59	ga_s2bm_ard_3-2-1_51KZP_2018-12-04_final
2019-01-26 11:36:48	ga_s2bm_ard_3-2-1_50HQJ_2019-01-26_final
2019-03-10 11:43:01	ga_s2bm_ard_3-2-1_50KRD_2019-03-10_final
2019-03-16 12:05:20	ga_s2bm_ard_3-2-1_49JGL_2019-03-16_final
2019-04-09 11:44:09	ga_s2bm_ard_3-2-1_50KQV_2019-04-09_final
2019-04-16 11:32:56	ga_s2bm_ard_3-2-1_51KYU_2019-04-16_final
2019-05-06 11:32:56	ga_s2bm_ard_3-2-1_51KVV_2019-05-06_final
2019-05-06 11:37:15	ga_s2bm_ard_3-2-1_50HPH_2019-05-06_final
2019-05-09 11:43:08	ga_s2bm_ard_3-2-1_51KUU_2019-05-09_final
2019-07-25 11:34:14	ga_s2bm_ard_3-2-1_51KXP_2019-07-25_final
2019-08-27 11:47:25	ga_s2bm_ard_3-2-1_50HNG_2019-08-27_final.stac-item
2019-08-31 11:24:05	ga_s2bm_ard_3-2-1_51KWQ_2019-08-31_final
2019-10-03 11:34:44	ga_s2bm_ard_3-2-1_51JVM_2019-10-03_final
2019-10-06 11:42:14	ga_s2bm_ard_3-2-1_51KVB_2019-10-06_final
2019-10-23 11:34:15	ga_s2bm_ard_3-2-1_51KVP_2019-10-23_final
2019-10-30 11:27:02	ga_s2bm_ard_3-2-1_51HUC_2019-10-30_final
2019-11-02 11:32:47	ga_s2bm_ard_3-2-1_51KVV_2019-11-02_final
2019-11-05 11:47:24	ga_s2bm_ard_3-2-1_50HMG_2019-11-05_final.stac-item
2019-11-12 11:32:19	ga_s2bm_ard_3-2-1_51KVB_2019-11-12_final
2019-11-25 11:43:15	ga_s2bm_ard_3-2-1_50KRC_2019-11-25_final
2020-02-17 11:26:57	ga_s2bm_ard_3-2-1_51HUC_2020-02-17_final
2020-02-19 12:04:27	ga_s2bm_ard_3-2-1_49KGP_2020-02-19_final
2020-02-20 11:36:54	ga_s2bm_ard_3-2-1_51HUC_2020-02-20_final
2020-02-20 11:37:13	ga_s2bm_ard_3-2-1_50HQG_2020-02-20_final.stac-item
2020-02-26 11:52:31	ga_s2bm_ard_3-2-1_50KQF_2020-02-26_final.stac-item
2020-03-08 11:22:21	ga_s2bm_ard_3-2-1_51KZA_2020-03-08_final
2020-03-13 12:14:25	ga_s2bm_ard_3-2-1_49KGP_2020-03-13_final
2020-05-09 12:03:36	ga_s2bm_ard_3-2-1_50KMB_2020-05-09_final
2020-05-17 11:26:35	ga_s2bm_ard_3-2-1_51HXD_2020-05-17_final
2020-05-20 11:36:52	ga_s2bm_ard_3-2-1_50HPJ_2020-05-20_final
2020-07-13 11:15:40	ga_s2bm_ard_3-2-1_51JYH_2020-07-13_final
2020-08-01 11:42:45	ga_s2bm_ard_3-2-1_51KVV_2020-08-01_final
2020-08-05 11:26:35	ga_s2bm_ard_3-2-1_51HUE_2020-08-05_final
2020-08-08 11:32:29	ga_s2bm_ard_3-2-1_51KXA_2020-08-08_final
2020-08-10 12:14:59	ga_s2bm_ard_3-2-1_49JGM_2020-08-10_final
2020-08-21 11:46:55	ga_s2bm_ard_3-2-1_50HNJ_2020-08-21_final
2020-09-10 11:46:45	ga_s2bm_ard_3-2-1_50HQJ_2020-09-10_final
2020-10-14 11:23:04	ga_s2bm_ard_3-2-1_51KXU_2020-10-14_final
2020-10-16 12:04:25	ga_s2bm_ard_3-2-1_49KHP_2020-10-16_final
2020-11-25 12:04:43	ga_s2bm_ard_3-2-1_50JKT_2020-11-25_final
2021-01-08 11:42:41	ga_s2bm_ard_3-2-1_51KVV_2021-01-08_final
2021-02-13 12:04:26	ga_s2bm_ard_3-2-1_49KHP_2021-02-13_final
2021-02-17 11:45:34	ga_s2bm_ard_3-2-1_50JPP_2021-02-17_final
2021-02-27 11:42:41	ga_s2bm_ard_3-2-1_51KVV_2021-02-27_final
2021-03-22 11:53:52	ga_s2bm_ard_3-2-1_50KMA_2021-03-22_final
2021-04-18 11:43:31	ga_s2bm_ard_3-2-1_51KVR_2021-04-18_final
2021-04-27 12:15:06	ga_s2bm_ard_3-2-1_49JGL_2021-04-27_final
2021-05-25 11:32:58	ga_s2bm_ard_3-2-1_51KWU_2021-05-25_final
2021-05-25 11:34:18	ga_s2bm_ard_3-2-1_51KUP_2021-05-25_final
2021-07-13 12:05:02	ga_s2bm_ard_3-2-1_49JGM_2021-07-13_final
2021-08-10 11:24:41	ga_s2bm_ard_3-2-1_51JXM_2021-08-10_final
2021-08-10 11:26:58	ga_s2bm_ard_3-2-1_51HVC_2021-08-10_final
2021-08-30 11:24:16	ga_s2bm_ard_3-2-1_51JZN_2021-08-30_final
2021-09-01 12:03:56	ga_s2bm_ard_3-2-1_50KKA_2021-09-01_final
2021-10-16 11:15:46	ga_s2bm_ard_3-2-1_51JYH_2021-10-16_final
2021-10-19 11:27:09	ga_s2bm_ard_3-2-1_51HTC_2021-10-19_final
2021-10-25 11:46:31	ga_s2bm_ard_3-2-1_50HQK_2021-10-25_final
2021-11-18 11:22:21	ga_s2bm_ard_3-2-1_51KZA_2021-11-18_final
2021-11-30 12:05:25	ga_s2bm_ard_3-2-1_49JGK_2021-11-30_final
2022-01-10 11:32:25	ga_s2bm_ard_3-2-1_51KWA_2022-01-10_final
2022-03-20 12:04:58	ga_s2bm_ard_3-2-1_49JGM_2022-03-20_final
2022-03-28 11:24:05	ga_s2bm_ard_3-2-1_51KYP_2022-03-28_final
2022-04-06 11:55:50	ga_s2bm_ard_3-2-1_50JMN_2022-04-06_final
2022-04-20 11:33:48	ga_s2bm_ard_3-2-1_51KXQ_2022-04-20_final
2022-06-22 11:46:01	ga_s2bm_ard_3-2-1_51JTG_2022-06-22_final
2022-09-23 11:57:10	ga_s2bm_ard_3-2-1_50HLH_2022-09-23_final.stac-item
2022-10-04 11:25:04	ga_s2bm_ard_3-2-1_51JYK_2022-10-04_final.stac-item
2022-12-05 12:03:41	ga_s2bm_ard_3-2-1_50KKB_2022-12-05_final.stac-item
2022-12-22 11:53:24	ga_s2bm_ard_3-2-1_50KNC_2022-12-22_final.stac-item
2023-02-01 11:24:12	ga_s2bm_ard_3-2-1_51KWP_2023-02-01_final.stac-item
2023-03-05 12:05:46	ga_s2bm_ard_3-2-1_49JGJ_2023-03-05_final.stac-item
2023-04-05 11:35:53	ga_s2bm_ard_3-2-1_50JQN_2023-04-05_final.stac-item
2023-05-12 11:25:18	ga_s2bm_ard_3-2-1_51JXK_2023-05-12_final.stac-item
2023-06-07 11:46:24	ga_s2bm_ard_3-2-1_50JPL_2023-06-07_final.stac-item
2023-07-14 11:32:55	ga_s2bm_ard_3-2-1_51KYU_2023-07-14_final.stac-item
2023-08-23 11:36:51	ga_s2bm_ard_3-2-1_51HTD_2023-08-23_final.stac-item
2023-09-05 11:43:12	ga_s2bm_ard_3-2-1_51KUU_2023-09-05_final.stac-item
2023-09-08 11:56:00	ga_s2bm_ard_3-2-1_50JLN_2023-09-08_final.stac-item
2023-09-09 11:25:14	ga_s2bm_ard_3-2-1_51JXK_2023-09-09_final.stac-item
2023-10-11 12:03:25	ga_s2bm_ard_3-2-1_50KMC_2023-10-11_final.stac-item
2023-10-29 11:25:58	ga_s2bm_ard_3-2-1_51JWG_2023-10-29_final.stac-item
2023-11-04 11:47:20	ga_s2bm_ard_3-2-1_50HPG_2023-11-04_final.stac-item
2023-11-08 11:24:39	ga_s2bm_ard_3-2-1_51JYM_2023-11-08_final.stac-item
2023-12-07 11:53:07	ga_s2bm_ard_3-2-1_50KRC_2023-12-07_final.stac-item
2024-02-18 12:06:05	ga_s2bm_ard_3-2-1_50JLM_2024-02-18_final.stac-item
2024-02-26 11:24:01	ga_s2bm_ard_3-2-1_51KWQ_2024-02-26_final.stac-item
2024-03-19 12:03:58	ga_s2bm_ard_3-2-1_50KKA_2024-03-19_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