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
2017-10-05 12:13:06	ga_s2bm_ard_3-2-1_49KHR_2017-10-05_final
2017-11-29 11:25:05	ga_s2bm_ard_3-2-1_51JWJ_2017-11-29_final
2017-12-25 11:40:37	ga_s2bm_ard_3-2-1_50KRC_2017-12-25_final
2018-01-17 11:49:12	ga_s2bm_ard_3-2-1_50KNB_2018-01-17_final
2018-03-02 11:30:31	ga_s2bm_ard_3-2-1_51KXV_2018-03-02_final
2018-04-07 11:53:07	ga_s2bm_ard_3-2-1_50HLJ_2018-04-07_final
2018-05-07 11:53:53	ga_s2bm_ard_3-2-1_50HMG_2018-05-07_final.stac-item
2018-05-21 11:31:10	ga_s2bm_ard_3-2-1_51HTD_2018-05-21_final
2018-06-10 11:28:17	ga_s2bm_ard_3-2-1_51KWV_2018-06-10_final
2018-06-29 12:02:48	ga_s2bm_ard_3-2-1_49KGP_2018-06-29_final
2018-07-13 11:40:15	ga_s2bm_ard_3-2-1_50JRT_2018-07-13_final
2018-07-30 11:31:34	ga_s2bm_ard_3-2-1_51JWN_2018-07-30_final
2018-08-19 11:35:15	ga_s2bm_ard_3-2-1_50HQG_2018-08-19_final.stac-item
2018-09-21 11:40:23	ga_s2bm_ard_3-2-1_50HNJ_2018-09-21_final
2018-09-21 11:40:23	ga_s2bm_ard_3-2-1_51KVV_2018-09-21_final
2018-10-07 12:04:33	ga_s2bm_ard_3-2-1_50JKN_2018-10-07_final
2018-10-18 11:32:25	ga_s2bm_ard_3-2-1_51KWA_2018-10-18_final
2018-11-09 12:14:39	ga_s2bm_ard_3-2-1_49JGN_2018-11-09_final
2018-12-23 11:56:21	ga_s2bm_ard_3-2-1_50JLL_2018-12-23_final
2018-12-27 11:34:21	ga_s2bm_ard_3-2-1_51JWN_2018-12-27_final
2019-01-15 12:03:44	ga_s2bm_ard_3-2-1_50KKB_2019-01-15_final
2019-02-17 12:14:59	ga_s2bm_ard_3-2-1_49JFM_2019-02-17_final
2019-02-22 11:26:43	ga_s2bm_ard_3-2-1_51HVD_2019-02-22_final
2019-02-25 11:36:56	ga_s2bm_ard_3-2-1_51HUC_2019-02-25_final
2019-03-14 11:23:54	ga_s2bm_ard_3-2-1_51KXQ_2019-03-14_final
2019-03-24 11:26:47	ga_s2bm_ard_3-2-1_51HUD_2019-03-24_final
2019-04-19 11:45:52	ga_s2bm_ard_3-2-1_50JQN_2019-04-19_final
2019-05-16 11:33:56	ga_s2bm_ard_3-2-1_51KUR_2019-05-16_final
2019-06-01 11:53:19	ga_s2bm_ard_3-2-1_50KRC_2019-06-01_final
2019-06-02 11:24:38	ga_s2bm_ard_3-2-1_51JWN_2019-06-02_final
2019-06-17 12:14:02	ga_s2bm_ard_3-2-1_49KHR_2019-06-17_final
2019-07-24 12:04:40	ga_s2bm_ard_3-2-1_49KGP_2019-07-24_final
2019-08-24 11:32:19	ga_s2bm_ard_3-2-1_51KWB_2019-08-24_final
2019-09-16 11:42:42	ga_s2bm_ard_3-2-1_51KVV_2019-09-16_final
2019-11-15 11:42:48	ga_s2bm_ard_3-2-1_51KVU_2019-11-15_final
2019-12-02 11:33:17	ga_s2bm_ard_3-2-1_51KUT_2019-12-02_final
2019-12-28 11:53:16	ga_s2bm_ard_3-2-1_50KPC_2019-12-28_final
2020-02-20 11:32:59	ga_s2bm_ard_3-2-1_51KXT_2020-02-20_final
2020-03-21 11:32:44	ga_s2bm_ard_3-2-1_51KXV_2020-03-21_final
2020-04-23 11:46:35	ga_s2bm_ard_3-2-1_50HMK_2020-04-23_final
2020-04-24 11:15:19	ga_s2bm_ard_3-2-1_51JYJ_2020-04-24_final
2020-08-11 11:45:15	ga_s2bm_ard_3-2-1_50JNR_2020-08-11_final
2020-08-11 11:46:11	ga_s2bm_ard_3-2-1_51JTF_2020-08-11_final
2020-09-09 12:13:57	ga_s2bm_ard_3-2-1_49KHR_2020-09-09_final
2020-09-17 11:32:31	ga_s2bm_ard_3-2-1_51KWA_2020-09-17_final
2020-09-20 11:45:50	ga_s2bm_ard_3-2-1_50JQN_2020-09-20_final
2020-11-10 11:14:30	ga_s2bm_ard_3-2-1_51JYN_2020-11-10_final
2020-11-28 12:14:41	ga_s2bm_ard_3-2-1_49JGN_2020-11-28_final
2021-01-15 11:36:34	ga_s2bm_ard_3-2-1_50HQK_2021-01-15_final
2021-02-24 11:33:58	ga_s2bm_ard_3-2-1_51KVQ_2021-02-24_final
2021-03-25 12:03:58	ga_s2bm_ard_3-2-1_49KHR_2021-03-25_final
2021-04-25 11:32:41	ga_s2bm_ard_3-2-1_51KVV_2021-04-25_final
2021-05-19 11:14:52	ga_s2bm_ard_3-2-1_51JYL_2021-05-19_final
2021-07-01 11:27:03	ga_s2bm_ard_3-2-1_51HUC_2021-07-01_final
2021-07-10 11:56:06	ga_s2bm_ard_3-2-1_50JNM_2021-07-10_final
2021-07-23 12:05:17	ga_s2bm_ard_3-2-1_49JGL_2021-07-23_final
2021-08-09 11:56:26	ga_s2bm_ard_3-2-1_50JLL_2021-08-09_final
2021-09-02 11:32:55	ga_s2bm_ard_3-2-1_51KWU_2021-09-02_final
2021-10-08 11:56:18	ga_s2bm_ard_3-2-1_50JNL_2021-10-08_final
2021-10-18 11:55:43	ga_s2bm_ard_3-2-1_50JLP_2021-10-18_final
2021-10-29 11:27:00	ga_s2bm_ard_3-2-1_51HVC_2021-10-29_final
2021-12-04 11:43:14	ga_s2bm_ard_3-2-1_50KRC_2021-12-04_final
2021-12-04 11:44:44	ga_s2bm_ard_3-2-1_50JQS_2021-12-04_final
2021-12-17 11:56:01	ga_s2bm_ard_3-2-1_50JMM_2021-12-17_final
2022-02-16 11:25:03	ga_s2bm_ard_3-2-1_51JXK_2022-02-16_final
2022-02-21 12:13:34	ga_s2bm_ard_3-2-1_50KKB_2022-02-21_final
2022-03-24 11:44:08	ga_s2bm_ard_3-2-1_50KPV_2022-03-24_final
2022-03-27 11:54:45	ga_s2bm_ard_3-2-1_50JPS_2022-03-27_final
2022-04-03 11:46:01	ga_s2bm_ard_3-2-1_50JPM_2022-04-03_final
2022-04-10 11:36:54	ga_s2bm_ard_3-2-1_51HUC_2022-04-10_final
2022-05-19 12:03:44	ga_s2bm_ard_3-2-1_50KKB_2022-05-19_final
2022-05-20 11:33:01	ga_s2bm_ard_3-2-1_51KVU_2022-05-20_final
2022-06-06 11:24:52	ga_s2bm_ard_3-2-1_51JYL_2022-06-06_final
2022-07-08 12:05:49	ga_s2bm_ard_3-2-1_49JGJ_2022-07-08_final
2022-09-17 11:32:42	ga_s2bm_ard_3-2-1_51KXV_2022-09-17_final.stac-item
2022-09-20 11:43:05	ga_s2bm_ard_3-2-1_50KRD_2022-09-20_final.stac-item
2022-11-12 11:56:07	ga_s2bm_ard_3-2-1_50JMM_2022-11-12_final.stac-item
2022-12-06 11:32:44	ga_s2bm_ard_3-2-1_51KVV_2022-12-06_final.stac-item
2022-12-16 11:37:19	ga_s2bm_ard_3-2-1_50HPG_2022-12-16_final.stac-item
2023-01-08 11:43:19	ga_s2bm_ard_3-2-1_50KQC_2023-01-08_final.stac-item
2023-01-22 11:24:13	ga_s2bm_ard_3-2-1_51KWP_2023-01-22_final.stac-item
2023-02-06 12:13:52	ga_s2bm_ard_3-2-1_50KKA_2023-02-06_final.stac-item
2023-02-07 11:43:02	ga_s2bm_ard_3-2-1_50KRD_2023-02-07_final.stac-item
2023-03-06 11:36:26	ga_s2bm_ard_3-2-1_51HVE_2023-03-06_final.stac-item
2023-04-24 12:03:22	ga_s2bm_ard_3-2-1_50KNC_2023-04-24_final.stac-item
2023-04-29 11:15:10	ga_s2bm_ard_3-2-1_51JYK_2023-04-29_final.stac-item
2023-05-08 11:42:30	ga_s2bm_ard_3-2-1_51KVA_2023-05-08_final.stac-item
2023-06-21 11:25:46	ga_s2bm_ard_3-2-1_51JWH_2023-06-21_final.stac-item
2023-07-07 11:42:51	ga_s2bm_ard_3-2-1_51KUV_2023-07-07_final.stac-item
2023-07-10 11:57:11	ga_s2bm_ard_3-2-1_50HMH_2023-07-10_final.stac-item
2023-07-14 11:34:19	ga_s2bm_ard_3-2-1_51KVP_2023-07-14_final.stac-item
2023-07-17 11:47:29	ga_s2bm_ard_3-2-1_50HMG_2023-07-17_final.stac-item
2023-07-23 12:03:29	ga_s2bm_ard_3-2-1_50KMC_2023-07-23_final.stac-item
2023-08-06 11:44:03	ga_s2bm_ard_3-2-1_51KUQ_2023-08-06_final.stac-item
2023-08-13 11:34:31	ga_s2bm_ard_3-2-1_51JWN_2023-08-13_final.stac-item
2023-11-04 11:43:46	ga_s2bm_ard_3-2-1_51KUR_2023-11-04_final.stac-item
2023-11-14 11:42:13	ga_s2bm_ard_3-2-1_51KVB_2023-11-14_final.stac-item
2024-01-13 11:43:16	ga_s2bm_ard_3-2-1_50KRC_2024-01-13_final.stac-item
2024-01-24 11:15:41	ga_s2bm_ard_3-2-1_51JXH_2024-01-24_final.stac-item
2024-02-19 11:32:15	ga_s2bm_ard_3-2-1_51KWB_2024-02-19_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