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
2017-08-13 12:02:47	ga_s2bm_ard_3-2-1_49JGJ_2017-08-13_final
2017-11-11 12:02:35	ga_s2bm_ard_3-2-1_50KMC_2017-11-11_final
2017-12-12 11:30:28	ga_s2bm_ard_3-2-1_51KUT_2017-12-12_final
2017-12-24 12:13:09	ga_s2bm_ard_3-2-1_50KKA_2017-12-24_final
2018-01-30 12:02:42	ga_s2bm_ard_3-2-1_49JGL_2018-01-30_final
2018-03-02 11:30:31	ga_s2bm_ard_3-2-1_51KWV_2018-03-02_final
2018-04-21 11:33:07	ga_s2bm_ard_3-2-1_51KXS_2018-04-21_final
2018-05-30 12:04:45	ga_s2bm_ard_3-2-1_50JKP_2018-05-30_final
2018-06-09 12:02:47	ga_s2bm_ard_3-2-1_50KMV_2018-06-09_final
2018-06-26 11:47:27	ga_s2bm_ard_3-2-1_50KQC_2018-06-26_final
2018-07-09 12:03:10	ga_s2bm_ard_3-2-1_50KMB_2018-07-09_final
2018-08-02 11:38:21	ga_s2bm_ard_3-2-1_51KWB_2018-08-02_final
2018-08-29 11:30:45	ga_s2bm_ard_3-2-1_51HUE_2018-08-29_final
2018-09-18 11:33:03	ga_s2bm_ard_3-2-1_51HUE_2018-09-18_final
2018-09-21 11:40:23	ga_s2bm_ard_3-2-1_51KTU_2018-09-21_final
2018-09-21 11:40:23	ga_s2bm_ard_3-2-1_51KVB_2018-09-21_final
2018-10-04 11:52:44	ga_s2bm_ard_3-2-1_50JNR_2018-10-04_final
2018-10-05 11:21:50	ga_s2bm_ard_3-2-1_51KZB_2018-10-05_final
2018-12-06 12:04:23	ga_s2bm_ard_3-2-1_50KKU_2018-12-06_final
2019-02-18 11:43:35	ga_s2bm_ard_3-2-1_51KVR_2019-02-18_final
2019-03-30 11:42:48	ga_s2bm_ard_3-2-1_51KUV_2019-03-30_final
2019-06-08 11:43:08	ga_s2bm_ard_3-2-1_51KUU_2019-06-08_final
2019-07-02 11:25:33	ga_s2bm_ard_3-2-1_51JXJ_2019-07-02_final
2019-07-05 11:32:51	ga_s2bm_ard_3-2-1_51KVV_2019-07-05_final
2019-08-04 11:32:58	ga_s2bm_ard_3-2-1_51KYU_2019-08-04_final
2019-12-05 11:43:30	ga_s2bm_ard_3-2-1_51KVR_2019-12-05_final
2019-12-12 11:32:38	ga_s2bm_ard_3-2-1_51KWV_2019-12-12_final
2019-12-12 11:34:12	ga_s2bm_ard_3-2-1_51KUP_2019-12-12_final
2019-12-22 11:33:55	ga_s2bm_ard_3-2-1_51KVQ_2019-12-22_final
2019-12-28 11:55:22	ga_s2bm_ard_3-2-1_50JLQ_2019-12-28_final
2020-01-04 11:46:10	ga_s2bm_ard_3-2-1_50JQL_2020-01-04_final
2020-01-18 11:25:59	ga_s2bm_ard_3-2-1_51JUG_2020-01-18_final
2020-02-10 11:32:35	ga_s2bm_ard_3-2-1_51KXV_2020-02-10_final
2020-02-17 11:25:05	ga_s2bm_ard_3-2-1_51JXK_2020-02-17_final
2020-03-20 12:03:39	ga_s2bm_ard_3-2-1_50KLB_2020-03-20_final
2020-04-20 11:32:24	ga_s2bm_ard_3-2-1_51KWA_2020-04-20_final
2020-04-22 12:14:36	ga_s2bm_ard_3-2-1_49JGN_2020-04-22_final
2020-05-13 11:42:41	ga_s2bm_ard_3-2-1_51KVV_2020-05-13_final
2020-06-09 11:32:28	ga_s2bm_ard_3-2-1_51KXA_2020-06-09_final
2020-08-07 12:04:34	ga_s2bm_ard_3-2-1_49KGP_2020-08-07_final
2020-09-13 11:55:48	ga_s2bm_ard_3-2-1_50JKP_2020-09-13_final
2020-09-20 11:43:13	ga_s2bm_ard_3-2-1_51KVT_2020-09-20_final
2020-09-26 12:05:17	ga_s2bm_ard_3-2-1_49JGL_2020-09-26_final
2020-10-03 11:53:20	ga_s2bm_ard_3-2-1_50KQC_2020-10-03_final
2020-10-27 11:32:18	ga_s2bm_ard_3-2-1_51KWB_2020-10-27_final
2020-10-27 11:34:35	ga_s2bm_ard_3-2-1_51JUN_2020-10-27_final
2020-11-22 11:55:53	ga_s2bm_ard_3-2-1_50JMN_2020-11-22_final
2020-11-29 11:44:01	ga_s2bm_ard_3-2-1_51KTQ_2020-11-29_final
2020-12-12 11:52:17	ga_s2bm_ard_3-2-1_50KQG_2020-12-12_final.stac-item
2020-12-18 12:14:51	ga_s2bm_ard_3-2-1_49JGM_2020-12-18_final
2020-12-28 12:13:52	ga_s2bm_ard_3-2-1_50KKA_2020-12-28_final
2021-02-04 11:37:00	ga_s2bm_ard_3-2-1_51HTC_2021-02-04_final
2021-02-17 11:42:07	ga_s2bm_ard_3-2-1_51KWB_2021-02-17_final
2021-04-01 11:56:49	ga_s2bm_ard_3-2-1_50HMJ_2021-04-01_final
2021-05-08 11:43:49	ga_s2bm_ard_3-2-1_50KQA_2021-05-08_final
2021-06-11 11:24:16	ga_s2bm_ard_3-2-1_51KWP_2021-06-11_final
2021-07-10 11:55:17	ga_s2bm_ard_3-2-1_50JPQ_2021-07-10_final
2021-07-14 11:36:45	ga_s2bm_ard_3-2-1_51HUD_2021-07-14_final
2021-08-19 11:53:20	ga_s2bm_ard_3-2-1_50KPC_2021-08-19_final
2021-08-30 11:23:54	ga_s2bm_ard_3-2-1_51KXQ_2021-08-30_final
2021-10-19 11:24:38	ga_s2bm_ard_3-2-1_51JYM_2021-10-19_final
2021-10-22 11:37:08	ga_s2bm_ard_3-2-1_50HPH_2021-10-22_final
2021-11-07 11:56:07	ga_s2bm_ard_3-2-1_50JNM_2021-11-07_final
2021-12-24 11:43:13	ga_s2bm_ard_3-2-1_50KRC_2021-12-24_final
2022-01-30 11:33:16	ga_s2bm_ard_3-2-1_51KUT_2022-01-30_final
2022-02-28 12:03:55	ga_s2bm_ard_3-2-1_50KKA_2022-02-28_final
2022-03-11 11:32:20	ga_s2bm_ard_3-2-1_51KYA_2022-03-11_final
2022-03-31 11:36:25	ga_s2bm_ard_3-2-1_51HUE_2022-03-31_final
2022-04-26 11:56:05	ga_s2bm_ard_3-2-1_50JLM_2022-04-26_final
2022-05-06 11:56:10	ga_s2bm_ard_3-2-1_50JKM_2022-05-06_final
2022-05-20 11:34:36	ga_s2bm_ard_3-2-1_50JRT_2022-05-20_final
2022-06-06 11:23:55	ga_s2bm_ard_3-2-1_51KYQ_2022-06-06_final
2022-07-02 11:46:24	ga_s2bm_ard_3-2-1_50JPL_2022-07-02_final
2022-08-07 12:04:18	ga_s2bm_ard_3-2-1_49KHQ_2022-08-07_final
2022-08-20 12:13:41	ga_s2bm_ard_3-2-1_50KKB_2022-08-20_final
2022-08-28 11:34:03	ga_s2bm_ard_3-2-1_51KUQ_2022-08-28_final
2022-11-03 11:23:47	ga_s2bm_ard_3-2-1_51KZQ_2022-11-03_final.stac-item
2022-11-12 11:56:17	ga_s2bm_ard_3-2-1_50JML_2022-11-12_final.stac-item
2022-11-22 11:55:59	ga_s2bm_ard_3-2-1_50JKN_2022-11-22_final.stac-item
2023-01-25 11:36:26	ga_s2bm_ard_3-2-1_51HUE_2023-01-25_final.stac-item
2023-02-07 11:42:40	ga_s2bm_ard_3-2-1_51KVV_2023-02-07_final.stac-item
2023-03-23 11:22:55	ga_s2bm_ard_3-2-1_51KZU_2023-03-23_final.stac-item
2023-05-08 11:44:04	ga_s2bm_ard_3-2-1_51KTQ_2023-05-08_final.stac-item
2023-05-24 12:04:18	ga_s2bm_ard_3-2-1_50KKV_2023-05-24_final.stac-item
2023-05-25 11:35:31	ga_s2bm_ard_3-2-1_51JVJ_2023-05-25_final.stac-item
2023-07-01 11:25:26	ga_s2bm_ard_3-2-1_51JYJ_2023-07-01_final.stac-item
2023-08-16 11:42:15	ga_s2bm_ard_3-2-1_51KWB_2023-08-16_final.stac-item
2023-09-05 11:42:50	ga_s2bm_ard_3-2-1_51KUV_2023-09-05_final.stac-item
2023-10-09 11:23:01	ga_s2bm_ard_3-2-1_51KXU_2023-10-09_final.stac-item
2023-11-07 11:53:33	ga_s2bm_ard_3-2-1_50KMC_2023-11-07_final.stac-item
2023-11-14 11:43:58	ga_s2bm_ard_3-2-1_51KUQ_2023-11-14_final.stac-item
2023-11-24 11:42:59	ga_s2bm_ard_3-2-1_50KRD_2023-11-24_final.stac-item
2023-11-28 11:26:11	ga_s2bm_ard_3-2-1_51JVF_2023-11-28_final.stac-item
2023-12-18 11:25:53	ga_s2bm_ard_3-2-1_51JXG_2023-12-18_final.stac-item
2023-12-30 12:04:19	ga_s2bm_ard_3-2-1_49KGQ_2023-12-30_final.stac-item
2024-01-13 11:43:25	ga_s2bm_ard_3-2-1_50KQC_2024-01-13_final.stac-item
2024-01-17 11:25:37	ga_s2bm_ard_3-2-1_51JXH_2024-01-17_final.stac-item
2024-02-21 12:13:55	ga_s2bm_ard_3-2-1_50KKA_2024-02-21_final.stac-item
2024-04-29 11:32:21	ga_s2bm_ard_3-2-1_51KYA_2024-04-29_final.stac-item
2024-04-29 11:36:51	ga_s2bm_ard_3-2-1_50HPJ_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