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
2017-07-04 12:04:34	ga_s2bm_ard_3-2-1_49JGM_2017-07-04_final
2017-07-04 12:04:34	ga_s2bm_ard_3-2-1_50JKN_2017-07-04_final
2017-07-05 11:32:58	ga_s2bm_ard_3-2-1_50JPL_2017-07-05_final
2017-07-25 11:28:36	ga_s2bm_ard_3-2-1_51KVS_2017-07-25_final
2017-07-31 11:49:45	ga_s2bm_ard_3-2-1_50JMN_2017-07-31_final
2018-01-14 11:40:41	ga_s2bm_ard_3-2-1_51KTS_2018-01-14_final
2018-02-06 11:49:12	ga_s2bm_ard_3-2-1_50KQG_2018-02-06_final.stac-item
2018-03-02 11:30:31	ga_s2bm_ard_3-2-1_51KWT_2018-03-02_final
2018-03-05 11:36:41	ga_s2bm_ard_3-2-1_51KWB_2018-03-05_final
2018-08-02 11:44:54	ga_s2bm_ard_3-2-1_50HMK_2018-08-02_final
2018-08-19 11:32:18	ga_s2bm_ard_3-2-1_51KWR_2018-08-19_final
2018-10-11 11:41:47	ga_s2bm_ard_3-2-1_51KUT_2018-10-11_final
2018-10-21 11:38:40	ga_s2bm_ard_3-2-1_51KVV_2018-10-21_final
2018-10-31 11:39:52	ga_s2bm_ard_3-2-1_51KUS_2018-10-31_final
2018-11-09 12:15:08	ga_s2bm_ard_3-2-1_49JGL_2018-11-09_final
2018-12-16 12:04:12	ga_s2bm_ard_3-2-1_49KGQ_2018-12-16_final
2019-01-02 11:55:57	ga_s2bm_ard_3-2-1_50JKN_2019-01-02_final
2019-01-12 11:52:19	ga_s2bm_ard_3-2-1_50KQG_2019-01-12_final.stac-item
2019-02-05 11:33:09	ga_s2bm_ard_3-2-1_51KXT_2019-02-05_final
2019-03-03 11:53:19	ga_s2bm_ard_3-2-1_50KPC_2019-03-03_final
2019-03-10 11:43:33	ga_s2bm_ard_3-2-1_51KVR_2019-03-10_final
2019-03-16 12:04:58	ga_s2bm_ard_3-2-1_49JGM_2019-03-16_final
2019-03-17 11:32:27	ga_s2bm_ard_3-2-1_51KWA_2019-03-17_final
2019-04-18 12:14:00	ga_s2bm_ard_3-2-1_50KKA_2019-04-18_final
2019-04-19 11:45:52	ga_s2bm_ard_3-2-1_50JQN_2019-04-19_final
2019-05-22 11:52:28	ga_s2bm_ard_3-2-1_50KQG_2019-05-22_final.stac-item
2019-05-26 11:34:05	ga_s2bm_ard_3-2-1_51KWQ_2019-05-26_final
2019-05-26 11:34:08	ga_s2bm_ard_3-2-1_51KVQ_2019-05-26_final
2019-06-01 11:53:19	ga_s2bm_ard_3-2-1_50KRC_2019-06-01_final
2019-06-05 11:33:09	ga_s2bm_ard_3-2-1_51KVU_2019-06-05_final
2019-06-05 11:33:46	ga_s2bm_ard_3-2-1_51KXR_2019-06-05_final
2019-07-15 11:33:07	ga_s2bm_ard_3-2-1_51KWU_2019-07-15_final
2019-08-07 11:43:07	ga_s2bm_ard_3-2-1_51KUU_2019-08-07_final
2019-08-27 11:43:08	ga_s2bm_ard_3-2-1_51KTU_2019-08-27_final
2019-11-12 11:34:10	ga_s2bm_ard_3-2-1_51KWP_2019-11-12_final
2020-02-19 12:05:22	ga_s2bm_ard_3-2-1_50JKQ_2020-02-19_final
2020-03-21 11:36:46	ga_s2bm_ard_3-2-1_50HQJ_2020-03-21_final
2020-04-23 11:42:40	ga_s2bm_ard_3-2-1_51KUV_2020-04-23_final
2020-05-06 11:52:17	ga_s2bm_ard_3-2-1_50KQG_2020-05-06_final.stac-item
2020-07-29 11:32:43	ga_s2bm_ard_3-2-1_51KWV_2020-07-29_final.stac-item
2020-08-01 11:43:32	ga_s2bm_ard_3-2-1_51KUS_2020-08-01_final
2020-08-10 12:14:00	ga_s2bm_ard_3-2-1_49KHR_2020-08-10_final
2020-08-21 11:43:15	ga_s2bm_ard_3-2-1_51KVT_2020-08-21_final
2020-08-31 11:43:03	ga_s2bm_ard_3-2-1_51KUU_2020-08-31_final
2020-09-10 11:46:45	ga_s2bm_ard_3-2-1_50HQJ_2020-09-10_final
2020-09-29 12:13:53	ga_s2bm_ard_3-2-1_50KKA_2020-09-29_final
2020-10-10 11:43:17	ga_s2bm_ard_3-2-1_50KRC_2020-10-10_final
2020-10-27 11:33:25	ga_s2bm_ard_3-2-1_51KUT_2020-10-27_final
2020-12-03 11:22:59	ga_s2bm_ard_3-2-1_51KXU_2020-12-03_final
2020-12-19 11:43:32	ga_s2bm_ard_3-2-1_51KVR_2020-12-19_final
2021-01-05 11:32:53	ga_s2bm_ard_3-2-1_51KXU_2021-01-05_final
2021-01-18 11:42:27	ga_s2bm_ard_3-2-1_51KVA_2021-01-18_final
2021-02-14 11:32:10	ga_s2bm_ard_3-2-1_51KXB_2021-02-14_final
2021-03-15 12:05:29	ga_s2bm_ard_3-2-1_49JGK_2021-03-15_final
2021-04-05 11:33:20	ga_s2bm_ard_3-2-1_51KUT_2021-04-05_final
2021-06-03 12:05:01	ga_s2bm_ard_3-2-1_49JGM_2021-06-03_final
2021-07-31 11:24:42	ga_s2bm_ard_3-2-1_51JXM_2021-07-31_final
2021-08-19 11:56:25	ga_s2bm_ard_3-2-1_50JLL_2021-08-19_final
2021-08-23 11:32:57	ga_s2bm_ard_3-2-1_51KWU_2021-08-23_final
2021-09-12 11:37:23	ga_s2bm_ard_3-2-1_50HNG_2021-09-12_final.stac-item
2021-09-15 11:42:59	ga_s2bm_ard_3-2-1_51KTU_2021-09-15_final
2021-09-25 11:43:01	ga_s2bm_ard_3-2-1_51KTU_2021-09-25_final
2021-10-22 11:37:08	ga_s2bm_ard_3-2-1_50HPH_2021-10-22_final
2021-12-21 11:32:38	ga_s2bm_ard_3-2-1_51KWV_2021-12-21_final
2021-12-24 11:42:41	ga_s2bm_ard_3-2-1_51KUV_2021-12-24_final
2021-12-31 11:33:05	ga_s2bm_ard_3-2-1_51KXT_2021-12-31_final
2022-01-10 11:33:44	ga_s2bm_ard_3-2-1_51KUR_2022-01-10_final
2022-03-01 11:34:07	ga_s2bm_ard_3-2-1_51KWP_2022-03-01_final
2022-06-02 11:46:43	ga_s2bm_ard_3-2-1_50HQJ_2022-06-02_final
2022-06-18 12:05:55	ga_s2bm_ard_3-2-1_50JLN_2022-06-18_final
2022-08-08 11:32:59	ga_s2bm_ard_3-2-1_51KXU_2022-08-08_final
2022-08-25 11:23:28	ga_s2bm_ard_3-2-1_51KXS_2022-08-25_final
2022-08-28 11:33:31	ga_s2bm_ard_3-2-1_51KVS_2022-08-28_final
2022-09-14 11:23:15	ga_s2bm_ard_3-2-1_51KXT_2022-09-14_final.stac-item
2022-10-07 11:33:24	ga_s2bm_ard_3-2-1_51KWS_2022-10-07_final.stac-item
2022-10-07 11:33:31	ga_s2bm_ard_3-2-1_51KUS_2022-10-07_final.stac-item
2022-10-10 11:42:40	ga_s2bm_ard_3-2-1_51KVV_2022-10-10_final.stac-item
2022-12-16 11:34:16	ga_s2bm_ard_3-2-1_51KUP_2022-12-16_final.stac-item
2022-12-19 11:42:56	ga_s2bm_ard_3-2-1_51KVU_2022-12-19_final.stac-item
2023-02-11 11:23:41	ga_s2bm_ard_3-2-1_51KXR_2023-02-11_final.stac-item
2023-02-13 12:03:22	ga_s2bm_ard_3-2-1_50KMC_2023-02-13_final.stac-item
2023-02-14 11:32:10	ga_s2bm_ard_3-2-1_51KXB_2023-02-14_final.stac-item
2023-02-24 11:33:53	ga_s2bm_ard_3-2-1_51KXQ_2023-02-24_final.stac-item
2023-04-05 11:32:50	ga_s2bm_ard_3-2-1_51KVV_2023-04-05_final.stac-item
2023-04-15 11:37:22	ga_s2bm_ard_3-2-1_50HPG_2023-04-15_final.stac-item
2023-05-04 12:03:47	ga_s2bm_ard_3-2-1_50KKB_2023-05-04_final.stac-item
2023-05-18 11:43:23	ga_s2bm_ard_3-2-1_51KTT_2023-05-18_final.stac-item
2023-05-25 11:37:06	ga_s2bm_ard_3-2-1_51HTC_2023-05-25_final.stac-item
2023-06-17 11:42:50	ga_s2bm_ard_3-2-1_51KUV_2023-06-17_final.stac-item
2023-07-07 11:42:26	ga_s2bm_ard_3-2-1_51KWA_2023-07-07_final.stac-item
2023-08-23 11:34:04	ga_s2bm_ard_3-2-1_51KVQ_2023-08-23_final.stac-item
2023-09-09 11:24:01	ga_s2bm_ard_3-2-1_51KXQ_2023-09-09_final.stac-item
2023-09-15 11:43:07	ga_s2bm_ard_3-2-1_50KRD_2023-09-15_final.stac-item
2023-10-02 11:36:39	ga_s2bm_ard_3-2-1_50HPK_2023-10-02_final.stac-item
2023-10-05 11:42:42	ga_s2bm_ard_3-2-1_51KVV_2023-10-05_final.stac-item
2023-11-11 11:33:10	ga_s2bm_ard_3-2-1_51KXT_2023-11-11_final.stac-item
2024-01-10 11:36:47	ga_s2bm_ard_3-2-1_50HQJ_2024-01-10_final.stac-item
2024-01-29 12:03:42	ga_s2bm_ard_3-2-1_50KKB_2024-01-29_final.stac-item
2024-05-05 11:53:22	ga_s2bm_ard_3-2-1_50KPC_2024-05-05_final.stac-item
2024-05-22 11:43:11	ga_s2bm_ard_3-2-1_51KTT_2024-05-22_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