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
2017-07-11 11:49:46	ga_s2bm_ard_3-2-1_50KPC_2017-07-11_final
2017-12-15 11:37:37	ga_s2bm_ard_3-2-1_51KUV_2017-12-15_final
2018-01-01 11:30:30	ga_s2bm_ard_3-2-1_51KWU_2018-01-01_final
2018-02-23 11:40:38	ga_s2bm_ard_3-2-1_51KUT_2018-02-23_final
2018-02-26 11:49:11	ga_s2bm_ard_3-2-1_50KPC_2018-02-26_final
2018-03-12 11:29:59	ga_s2bm_ard_3-2-1_51KXT_2018-03-12_final
2018-05-21 11:31:10	ga_s2bm_ard_3-2-1_51KVU_2018-05-21_final
2018-06-17 11:19:48	ga_s2bm_ard_3-2-1_51KZU_2018-06-17_final
2018-07-17 11:21:53	ga_s2bm_ard_3-2-1_51KXT_2018-07-17_final
2018-11-19 12:14:57	ga_s2bm_ard_3-2-1_49JFM_2018-11-19_final
2018-11-24 11:23:36	ga_s2bm_ard_3-2-1_51KYR_2018-11-24_final
2019-02-25 11:33:22	ga_s2bm_ard_3-2-1_51KXS_2019-02-25_final
2019-03-17 11:33:11	ga_s2bm_ard_3-2-1_51KWT_2019-03-17_final
2019-04-15 12:05:43	ga_s2bm_ard_3-2-1_50JLP_2019-04-15_final
2019-04-16 11:36:54	ga_s2bm_ard_3-2-1_50HQJ_2019-04-16_final
2019-05-10 11:14:02	ga_s2bm_ard_3-2-1_51KZQ_2019-05-10_final
2019-05-13 11:23:44	ga_s2bm_ard_3-2-1_51KZR_2019-05-13_final
2019-05-23 11:27:03	ga_s2bm_ard_3-2-1_51HWC_2019-05-23_final.stac-item
2019-06-18 11:41:40	ga_s2bm_ard_3-2-1_51LUE_2019-06-18_final
2019-07-19 11:14:03	ga_s2bm_ard_3-2-1_52KBV_2019-07-19_final
2019-09-23 11:33:27	ga_s2bm_ard_3-2-1_51KWS_2019-09-23_final
2019-09-23 11:34:10	ga_s2bm_ard_3-2-1_51KWP_2019-09-23_final
2019-09-27 11:13:14	ga_s2bm_ard_3-2-1_52KBC_2019-09-27_final
2019-10-09 11:52:21	ga_s2bm_ard_3-2-1_50KQG_2019-10-09_final.stac-item
2019-11-12 11:33:55	ga_s2bm_ard_3-2-1_51KWQ_2019-11-12_final
2019-12-16 11:13:02	ga_s2bm_ard_3-2-1_52KCC_2019-12-16_final
2020-01-12 11:04:27	ga_s2bm_ard_3-2-1_52JES_2020-01-12_final
2020-02-03 11:42:50	ga_s2bm_ard_3-2-1_51KVU_2020-02-03_final
2020-02-17 11:23:39	ga_s2bm_ard_3-2-1_51KXR_2020-02-17_final
2020-03-24 11:41:31	ga_s2bm_ard_3-2-1_51LUE_2020-03-24_final
2020-03-28 11:26:56	ga_s2bm_ard_3-2-1_51HVC_2020-03-28_final
2020-06-12 11:46:40	ga_s2bm_ard_3-2-1_50HNK_2020-06-12_final
2020-08-05 11:23:17	ga_s2bm_ard_3-2-1_51KXT_2020-08-05_final
2020-09-17 11:36:53	ga_s2bm_ard_3-2-1_50HPJ_2020-09-17_final
2020-10-11 11:13:17	ga_s2bm_ard_3-2-1_52KBC_2020-10-11_final
2020-11-09 11:42:29	ga_s2bm_ard_3-2-1_51KVA_2020-11-09_final
2020-11-19 11:43:12	ga_s2bm_ard_3-2-1_51KVT_2020-11-19_final
2020-11-29 11:43:00	ga_s2bm_ard_3-2-1_51KUU_2020-11-29_final
2020-12-03 11:23:56	ga_s2bm_ard_3-2-1_51KXQ_2020-12-03_final
2020-12-19 11:42:38	ga_s2bm_ard_3-2-1_51KVV_2020-12-19_final
2020-12-29 11:43:01	ga_s2bm_ard_3-2-1_51KTU_2020-12-29_final
2021-02-01 11:23:49	ga_s2bm_ard_3-2-1_51KZQ_2021-02-01_final
2021-02-27 11:42:08	ga_s2bm_ard_3-2-1_51KWB_2021-02-27_final
2021-04-15 11:33:26	ga_s2bm_ard_3-2-1_51KVS_2021-04-15_final
2021-05-17 12:14:26	ga_s2bm_ard_3-2-1_49KGP_2021-05-17_final
2021-05-25 11:34:06	ga_s2bm_ard_3-2-1_51KXP_2021-05-25_final
2021-06-10 11:55:50	ga_s2bm_ard_3-2-1_50JNN_2021-06-10_final
2021-07-04 11:32:56	ga_s2bm_ard_3-2-1_51KXU_2021-07-04_final
2021-07-18 11:13:56	ga_s2bm_ard_3-2-1_51KZQ_2021-07-18_final
2021-08-13 11:33:13	ga_s2bm_ard_3-2-1_51KWT_2021-08-13_final
2021-08-17 11:13:33	ga_s2bm_ard_3-2-1_52KDA_2021-08-17_final
2021-10-31 12:03:45	ga_s2bm_ard_3-2-1_50KKB_2021-10-31_final
2021-11-15 11:13:32	ga_s2bm_ard_3-2-1_52KDA_2021-11-15_final
2021-12-01 11:33:04	ga_s2bm_ard_3-2-1_51KXT_2021-12-01_final
2022-01-03 11:42:53	ga_s2bm_ard_3-2-1_51KVU_2022-01-03_final
2022-01-07 11:23:39	ga_s2bm_ard_3-2-1_51KXR_2022-01-07_final
2022-01-10 11:32:46	ga_s2bm_ard_3-2-1_51KYU_2022-01-10_final
2022-01-20 11:33:48	ga_s2bm_ard_3-2-1_51KXQ_2022-01-20_final
2022-02-09 11:33:07	ga_s2bm_ard_3-2-1_51KWT_2022-02-09_final
2022-03-11 11:32:56	ga_s2bm_ard_3-2-1_51KWU_2022-03-11_final
2022-04-07 11:23:25	ga_s2bm_ard_3-2-1_51KXS_2022-04-07_final
2022-04-10 11:32:51	ga_s2bm_ard_3-2-1_51KXU_2022-04-10_final
2022-05-20 11:33:38	ga_s2bm_ard_3-2-1_51KXR_2022-05-20_final
2022-05-23 11:45:46	ga_s2bm_ard_3-2-1_50JQN_2022-05-23_final
2022-06-29 11:33:35	ga_s2bm_ard_3-2-1_51KVS_2022-06-29_final
2022-07-09 11:37:11	ga_s2bm_ard_3-2-1_50HPH_2022-07-09_final
2022-07-29 11:36:19	ga_s2bm_ard_3-2-1_51JUF_2022-07-29_final
2022-08-15 11:23:23	ga_s2bm_ard_3-2-1_52KBB_2022-08-15_final
2022-08-18 11:33:04	ga_s2bm_ard_3-2-1_51KYT_2022-08-18_final
2022-09-01 11:16:42	ga_s2bm_ard_3-2-1_51HXD_2022-09-01_final.stac-item
2022-09-11 11:13:56	ga_s2bm_ard_3-2-1_51KZQ_2022-09-11_final.stac-item
2022-09-27 11:33:28	ga_s2bm_ard_3-2-1_51KWS_2022-09-27_final.stac-item
2022-10-20 11:43:14	ga_s2bm_ard_3-2-1_51KUT_2022-10-20_final.stac-item
2022-10-30 11:43:23	ga_s2bm_ard_3-2-1_51KVS_2022-10-30_final.stac-item
2022-12-16 11:37:19	ga_s2bm_ard_3-2-1_50HPG_2022-12-16_final.stac-item
2022-12-23 11:22:33	ga_s2bm_ard_3-2-1_52KCE_2022-12-23_final.stac-item
2023-02-09 10:45:45	ga_s2bm_ard_3-2-1_52JGM_2023-02-09_final.stac-item
2023-02-21 11:23:34	ga_s2bm_ard_3-2-1_52KBA_2023-02-21_final.stac-item
2023-02-24 11:34:50	ga_s2bm_ard_3-2-1_51JTM_2023-02-24_final.stac-item
2023-03-10 11:13:37	ga_s2bm_ard_3-2-1_52KDA_2023-03-10_final.stac-item
2023-03-30 11:13:57	ga_s2bm_ard_3-2-1_51KZQ_2023-03-30_final.stac-item
2023-04-11 11:53:12	ga_s2bm_ard_3-2-1_50KRC_2023-04-11_final.stac-item
2023-04-28 11:41:34	ga_s2bm_ard_3-2-1_51LUE_2023-04-28_final.stac-item
2023-05-29 11:13:59	ga_s2bm_ard_3-2-1_52KBV_2023-05-29_final.stac-item
2023-06-04 11:33:49	ga_s2bm_ard_3-2-1_51KVR_2023-06-04_final.stac-item
2023-07-27 11:45:56	ga_s2bm_ard_3-2-1_50JPN_2023-07-27_final.stac-item
2023-09-15 11:41:58	ga_s2bm_ard_3-2-1_51LWC_2023-09-15_final.stac-item
2023-09-16 11:13:43	ga_s2bm_ard_3-2-1_51KZR_2023-09-16_final.stac-item
2023-09-25 11:42:45	ga_s2bm_ard_3-2-1_51KVV_2023-09-25_final.stac-item
2023-09-29 11:23:13	ga_s2bm_ard_3-2-1_51KYT_2023-09-29_final.stac-item
2023-10-02 11:32:56	ga_s2bm_ard_3-2-1_51KXU_2023-10-02_final.stac-item
2023-12-01 11:37:14	ga_s2bm_ard_3-2-1_50HQG_2023-12-01_final.stac-item
2023-12-21 11:31:43	ga_s2bm_ard_3-2-1_51LXD_2023-12-21_final.stac-item
2023-12-28 11:23:22	ga_s2bm_ard_3-2-1_52KBB_2023-12-28_final.stac-item
2024-01-16 11:52:18	ga_s2bm_ard_3-2-1_50KQG_2024-01-16_final.stac-item
2024-02-09 11:33:01	ga_s2bm_ard_3-2-1_51KVU_2024-02-09_final.stac-item
2024-02-29 11:31:56	ga_s2bm_ard_3-2-1_51LXC_2024-02-29_final.stac-item
2024-04-12 11:43:04	ga_s2bm_ard_3-2-1_51KTU_2024-04-12_final.stac-item
2024-04-22 11:42:17	ga_s2bm_ard_3-2-1_51KUB_2024-04-22_final.stac-item
2024-04-29 11:32:58	ga_s2bm_ard_3-2-1_51KWU_2024-04-29_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