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
2017-09-23 11:29:24	ga_s2bm_ard_3-2-1_51JTH_2017-09-23_final
2017-10-26 11:41:25	ga_s2bm_ard_3-2-1_51KVU_2017-10-26_final
2017-12-22 11:27:17	ga_s2bm_ard_3-2-1_51KWU_2017-12-22_final
2017-12-25 11:40:37	ga_s2bm_ard_3-2-1_51KVA_2017-12-25_final
2017-12-25 11:40:37	ga_s2bm_ard_3-2-1_51KWA_2017-12-25_final
2017-12-25 11:46:02	ga_s2bm_ard_3-2-1_50HNG_2017-12-25_final.stac-item
2018-01-24 11:37:42	ga_s2bm_ard_3-2-1_51KVA_2018-01-24_final
2018-02-20 11:27:22	ga_s2bm_ard_3-2-1_51KXB_2018-02-20_final
2018-03-02 11:30:31	ga_s2bm_ard_3-2-1_51KXA_2018-03-02_final
2018-04-23 12:13:20	ga_s2bm_ard_3-2-1_49JGM_2018-04-23_final
2018-04-27 11:48:10	ga_s2bm_ard_3-2-1_50KQF_2018-04-27_final.stac-item
2018-05-08 11:16:58	ga_s2bm_ard_3-2-1_51KWP_2018-05-08_final
2018-05-30 12:04:45	ga_s2bm_ard_3-2-1_49JGM_2018-05-30_final
2018-06-20 11:26:19	ga_s2bm_ard_3-2-1_51KVQ_2018-06-20_final
2018-08-29 11:30:45	ga_s2bm_ard_3-2-1_51HUD_2018-08-29_final
2018-09-11 11:41:45	ga_s2bm_ard_3-2-1_50HMK_2018-09-11_final
2018-09-22 11:12:44	ga_s2bm_ard_3-2-1_51HWC_2018-09-22_final.stac-item
2018-09-28 11:30:45	ga_s2bm_ard_3-2-1_51KVR_2018-09-28_final
2018-11-17 11:33:53	ga_s2bm_ard_3-2-1_51KWQ_2018-11-17_final
2018-11-27 11:32:58	ga_s2bm_ard_3-2-1_51KVU_2018-11-27_final
2018-11-30 11:42:41	ga_s2bm_ard_3-2-1_51KUV_2018-11-30_final
2019-02-05 11:33:16	ga_s2bm_ard_3-2-1_51KVT_2019-02-05_final
2019-03-16 12:03:42	ga_s2bm_ard_3-2-1_50KKB_2019-03-16_final
2019-05-19 11:43:44	ga_s2bm_ard_3-2-1_51KVR_2019-05-19_final
2019-06-18 11:42:19	ga_s2bm_ard_3-2-1_51KVB_2019-06-18_final
2019-07-18 11:43:05	ga_s2bm_ard_3-2-1_51KVU_2019-07-18_final
2019-07-25 11:34:08	ga_s2bm_ard_3-2-1_51KVQ_2019-07-25_final
2019-09-13 11:32:59	ga_s2bm_ard_3-2-1_51KWU_2019-09-13_final
2019-09-16 11:47:24	ga_s2bm_ard_3-2-1_50HMG_2019-09-16_final.stac-item
2019-10-16 11:42:43	ga_s2bm_ard_3-2-1_51KVV_2019-10-16_final
2019-12-15 11:42:40	ga_s2bm_ard_3-2-1_51KUV_2019-12-15_final
2019-12-25 11:42:23	ga_s2bm_ard_3-2-1_51KVA_2019-12-25_final
2020-01-31 11:36:50	ga_s2bm_ard_3-2-1_51HUC_2020-01-31_final
2020-02-03 11:42:57	ga_s2bm_ard_3-2-1_50KRD_2020-02-03_final
2020-02-17 11:25:05	ga_s2bm_ard_3-2-1_51JXK_2020-02-17_final
2020-02-20 11:32:29	ga_s2bm_ard_3-2-1_51KVA_2020-02-20_final
2020-02-20 11:33:53	ga_s2bm_ard_3-2-1_51KWQ_2020-02-20_final
2020-03-11 11:33:53	ga_s2bm_ard_3-2-1_51KWQ_2020-03-11_final
2020-04-07 11:24:23	ga_s2bm_ard_3-2-1_51JXN_2020-04-07_final
2020-05-30 11:34:12	ga_s2bm_ard_3-2-1_51KWP_2020-05-30_final
2020-06-09 11:33:55	ga_s2bm_ard_3-2-1_51KXQ_2020-06-09_final
2020-06-13 11:14:40	ga_s2bm_ard_3-2-1_51JZM_2020-06-13_final
2020-06-22 11:47:12	ga_s2bm_ard_3-2-1_50HMH_2020-06-22_final
2020-07-02 11:47:23	ga_s2bm_ard_3-2-1_50HNG_2020-07-02_final.stac-item
2020-08-21 11:42:49	ga_s2bm_ard_3-2-1_51KUV_2020-08-21_final
2020-10-10 11:43:15	ga_s2bm_ard_3-2-1_51KUT_2020-10-10_final
2020-11-06 11:32:49	ga_s2bm_ard_3-2-1_51KVV_2020-11-06_final
2020-11-06 11:34:13	ga_s2bm_ard_3-2-1_51KWP_2020-11-06_final
2020-12-26 11:32:23	ga_s2bm_ard_3-2-1_51KXA_2020-12-26_final
2021-01-02 11:24:50	ga_s2bm_ard_3-2-1_51JYL_2021-01-02_final
2021-02-13 12:03:43	ga_s2bm_ard_3-2-1_50KKB_2021-02-13_final
2021-02-18 11:16:38	ga_s2bm_ard_3-2-1_51HXD_2021-02-18_final
2021-05-22 11:27:02	ga_s2bm_ard_3-2-1_51HUC_2021-05-22_final
2021-06-07 11:43:01	ga_s2bm_ard_3-2-1_51KUU_2021-06-07_final
2021-07-13 12:04:45	ga_s2bm_ard_3-2-1_49JGN_2021-07-13_final
2021-07-17 11:43:27	ga_s2bm_ard_3-2-1_51KVS_2021-07-17_final
2021-08-10 11:26:48	ga_s2bm_ard_3-2-1_51HUD_2021-08-10_final
2021-08-13 11:33:23	ga_s2bm_ard_3-2-1_51KUT_2021-08-13_final
2021-08-20 11:23:56	ga_s2bm_ard_3-2-1_51KXQ_2021-08-20_final
2021-09-01 12:04:54	ga_s2bm_ard_3-2-1_50JKS_2021-09-01_final
2021-10-08 11:56:18	ga_s2bm_ard_3-2-1_50JNL_2021-10-08_final
2021-10-12 11:33:23	ga_s2bm_ard_3-2-1_51KUT_2021-10-12_final
2021-12-20 12:03:39	ga_s2bm_ard_3-2-1_50KKB_2021-12-20_final
2022-02-28 12:04:57	ga_s2bm_ard_3-2-1_49JGM_2022-02-28_final
2022-03-30 12:06:01	ga_s2bm_ard_3-2-1_50JLM_2022-03-30_final
2022-06-09 11:33:36	ga_s2bm_ard_3-2-1_51KUS_2022-06-09_final
2022-08-08 11:33:56	ga_s2bm_ard_3-2-1_51KXQ_2022-08-08_final
2022-09-13 11:53:13	ga_s2bm_ard_3-2-1_50KRC_2022-09-13_final.stac-item
2022-10-07 11:36:49	ga_s2bm_ard_3-2-1_50HPJ_2022-10-07_final.stac-item
2022-10-10 11:43:13	ga_s2bm_ard_3-2-1_51KUT_2022-10-10_final.stac-item
2023-01-25 11:34:03	ga_s2bm_ard_3-2-1_51KXP_2023-01-25_final.stac-item
2023-02-04 11:33:45	ga_s2bm_ard_3-2-1_51KUR_2023-02-04_final.stac-item
2023-02-04 11:34:08	ga_s2bm_ard_3-2-1_51KWP_2023-02-04_final.stac-item
2023-02-27 11:42:57	ga_s2bm_ard_3-2-1_51KVU_2023-02-27_final.stac-item
2023-04-18 11:42:44	ga_s2bm_ard_3-2-1_51KVV_2023-04-18_final.stac-item
2023-04-28 11:42:29	ga_s2bm_ard_3-2-1_51KVA_2023-04-28_final.stac-item
2023-05-05 11:37:24	ga_s2bm_ard_3-2-1_50HPG_2023-05-05_final.stac-item
2023-05-12 11:24:17	ga_s2bm_ard_3-2-1_51KWP_2023-05-12_final.stac-item
2023-06-04 11:32:51	ga_s2bm_ard_3-2-1_51KVV_2023-06-04_final.stac-item
2023-06-04 11:36:53	ga_s2bm_ard_3-2-1_50HQJ_2023-06-04_final.stac-item
2023-06-14 11:34:10	ga_s2bm_ard_3-2-1_51KXP_2023-06-14_final.stac-item
2023-06-21 11:26:58	ga_s2bm_ard_3-2-1_51HWC_2023-06-21_final.stac-item
2023-07-13 12:05:45	ga_s2bm_ard_3-2-1_50JKP_2023-07-13_final.stac-item
2023-07-24 11:32:53	ga_s2bm_ard_3-2-1_51KVV_2023-07-24_final.stac-item
2023-07-26 12:14:00	ga_s2bm_ard_3-2-1_49KHR_2023-07-26_final.stac-item
2023-08-23 11:32:24	ga_s2bm_ard_3-2-1_51KVB_2023-08-23_final.stac-item
2023-08-23 11:32:51	ga_s2bm_ard_3-2-1_51KVV_2023-08-23_final.stac-item
2023-09-12 11:33:02	ga_s2bm_ard_3-2-1_51KWU_2023-09-12_final.stac-item
2023-10-04 12:14:56	ga_s2bm_ard_3-2-1_49JGM_2023-10-04_final.stac-item
2023-10-05 11:42:46	ga_s2bm_ard_3-2-1_51KUV_2023-10-05_final.stac-item
2023-10-24 12:13:41	ga_s2bm_ard_3-2-1_50KKB_2023-10-24_final.stac-item
2023-11-18 11:25:37	ga_s2bm_ard_3-2-1_51JXH_2023-11-18_final.stac-item
2023-11-21 11:33:59	ga_s2bm_ard_3-2-1_51KUQ_2023-11-21_final.stac-item
2023-12-11 11:34:07	ga_s2bm_ard_3-2-1_51KWP_2023-12-11_final.stac-item
2023-12-21 11:32:44	ga_s2bm_ard_3-2-1_51KWV_2023-12-21_final.stac-item
2023-12-24 11:42:43	ga_s2bm_ard_3-2-1_51KVV_2023-12-24_final.stac-item
2023-12-24 11:43:13	ga_s2bm_ard_3-2-1_51KVT_2023-12-24_final.stac-item
2024-03-03 11:46:45	ga_s2bm_ard_3-2-1_50HPJ_2024-03-03_final.stac-item
2024-04-08 12:03:22	ga_s2bm_ard_3-2-1_50KMC_2024-04-08_final.stac-item
2024-05-05 11:57:10	ga_s2bm_ard_3-2-1_50HLH_2024-05-05_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