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
2017-07-05 11:32:58	ga_s2bm_ard_3-2-1_51KWS_2017-07-05_final
2017-07-11 11:49:46	ga_s2bm_ard_3-2-1_50KNC_2017-07-11_final
2017-07-25 11:28:36	ga_s2bm_ard_3-2-1_51KXS_2017-07-25_final
2017-09-03 11:30:07	ga_s2bm_ard_3-2-1_51KWT_2017-09-03_final
2017-12-22 11:27:17	ga_s2bm_ard_3-2-1_51KXS_2017-12-22_final
2018-01-01 11:30:30	ga_s2bm_ard_3-2-1_50JRT_2018-01-01_final
2018-01-24 11:37:42	ga_s2bm_ard_3-2-1_51KUT_2018-01-24_final
2018-02-23 11:40:38	ga_s2bm_ard_3-2-1_51KVV_2018-02-23_final
2018-03-05 11:42:06	ga_s2bm_ard_3-2-1_51KVS_2018-03-05_final
2018-03-15 11:39:58	ga_s2bm_ard_3-2-1_51KUU_2018-03-15_final
2018-04-14 11:40:40	ga_s2bm_ard_3-2-1_50KRD_2018-04-14_final
2018-05-18 11:22:43	ga_s2bm_ard_3-2-1_51KXQ_2018-05-18_final
2018-06-12 12:13:19	ga_s2bm_ard_3-2-1_50KKB_2018-06-12_final
2018-08-02 11:38:21	ga_s2bm_ard_3-2-1_51KVB_2018-08-02_final
2018-10-28 11:31:46	ga_s2bm_ard_3-2-1_51KWU_2018-10-28_final
2018-11-17 11:32:12	ga_s2bm_ard_3-2-1_51KWB_2018-11-17_final
2019-01-06 11:33:43	ga_s2bm_ard_3-2-1_51KVR_2019-01-06_final
2019-02-25 11:33:15	ga_s2bm_ard_3-2-1_51KVT_2019-02-25_final
2019-03-13 11:56:11	ga_s2bm_ard_3-2-1_50JKM_2019-03-13_final
2019-05-25 12:05:49	ga_s2bm_ard_3-2-1_50JKP_2019-05-25_final
2019-06-11 11:56:00	ga_s2bm_ard_3-2-1_50JMN_2019-06-11_final
2019-08-06 12:14:49	ga_s2bm_ard_3-2-1_49JGN_2019-08-06_final
2019-08-21 11:23:48	ga_s2bm_ard_3-2-1_51KXR_2019-08-21_final
2019-08-30 11:56:11	ga_s2bm_ard_3-2-1_50JMM_2019-08-30_final
2019-10-09 11:53:04	ga_s2bm_ard_3-2-1_50KQD_2019-10-09_final.stac-item
2019-10-22 12:05:45	ga_s2bm_ard_3-2-1_49JGJ_2019-10-22_final
2019-12-15 11:42:37	ga_s2bm_ard_3-2-1_51KVV_2019-12-15_final
2019-12-22 11:36:46	ga_s2bm_ard_3-2-1_51HTD_2019-12-22_final
2020-01-04 11:44:26	ga_s2bm_ard_3-2-1_51JTN_2020-01-04_final
2020-02-19 12:04:27	ga_s2bm_ard_3-2-1_49KGP_2020-02-19_final
2020-03-28 11:23:45	ga_s2bm_ard_3-2-1_51KXR_2020-03-28_final
2020-06-12 11:42:23	ga_s2bm_ard_3-2-1_51KVA_2020-06-12_final
2020-06-25 11:53:05	ga_s2bm_ard_3-2-1_50KQD_2020-06-25_final.stac-item
2020-09-16 12:05:02	ga_s2bm_ard_3-2-1_49JGM_2020-09-16_final
2020-10-10 11:42:49	ga_s2bm_ard_3-2-1_51KUV_2020-10-10_final
2020-10-13 11:53:07	ga_s2bm_ard_3-2-1_50KQD_2020-10-13_final.stac-item
2020-10-30 11:43:06	ga_s2bm_ard_3-2-1_51KTU_2020-10-30_final
2020-11-15 12:03:45	ga_s2bm_ard_3-2-1_50KKB_2020-11-15_final
2020-11-15 12:04:00	ga_s2bm_ard_3-2-1_49KHR_2020-11-15_final
2020-11-19 11:42:28	ga_s2bm_ard_3-2-1_51KVA_2020-11-19_final
2021-01-08 11:46:42	ga_s2bm_ard_3-2-1_50HQJ_2021-01-08_final
2021-01-24 12:03:44	ga_s2bm_ard_3-2-1_50KKB_2021-01-24_final
2021-02-16 12:13:52	ga_s2bm_ard_3-2-1_49KHR_2021-02-16_final
2021-04-15 11:36:42	ga_s2bm_ard_3-2-1_51HTD_2021-04-15_final
2021-05-22 11:23:13	ga_s2bm_ard_3-2-1_51KXT_2021-05-22_final
2021-06-11 11:24:16	ga_s2bm_ard_3-2-1_51KWP_2021-06-11_final
2021-08-03 11:36:39	ga_s2bm_ard_3-2-1_50HPK_2021-08-03_final
2021-08-19 11:56:22	ga_s2bm_ard_3-2-1_50JML_2021-08-19_final
2021-09-12 11:32:51	ga_s2bm_ard_3-2-1_51KXU_2021-09-12_final
2021-09-25 11:42:58	ga_s2bm_ard_3-2-1_51KUU_2021-09-25_final
2021-10-05 11:43:11	ga_s2bm_ard_3-2-1_51KVT_2021-10-05_final
2021-10-09 11:25:35	ga_s2bm_ard_3-2-1_51JYH_2021-10-09_final
2021-10-16 11:14:42	ga_s2bm_ard_3-2-1_51JYM_2021-10-16_final
2021-10-24 12:15:12	ga_s2bm_ard_3-2-1_49JGL_2021-10-24_final
2021-10-25 11:46:35	ga_s2bm_ard_3-2-1_50HPK_2021-10-25_final
2021-11-01 11:37:08	ga_s2bm_ard_3-2-1_50HPH_2021-11-01_final
2021-12-04 11:47:05	ga_s2bm_ard_3-2-1_50HPG_2021-12-04_final.stac-item
2021-12-27 11:53:06	ga_s2bm_ard_3-2-1_50KRC_2021-12-27_final
2022-01-16 11:53:13	ga_s2bm_ard_3-2-1_50KQC_2022-01-16_final
2022-03-11 11:33:50	ga_s2bm_ard_3-2-1_51KXQ_2022-03-11_final
2022-03-24 11:43:01	ga_s2bm_ard_3-2-1_51KTU_2022-03-24_final
2022-04-02 12:14:09	ga_s2bm_ard_3-2-1_49KGQ_2022-04-02_final
2022-07-22 11:47:07	ga_s2bm_ard_3-2-1_50HPH_2022-07-22_final
2022-08-08 11:33:31	ga_s2bm_ard_3-2-1_51KWS_2022-08-08_final
2022-08-17 12:05:43	ga_s2bm_ard_3-2-1_50JKP_2022-08-17_final
2022-08-25 11:25:06	ga_s2bm_ard_3-2-1_51JYK_2022-08-25_final
2022-08-30 12:14:28	ga_s2bm_ard_3-2-1_49KGP_2022-08-30_final
2022-09-04 11:24:24	ga_s2bm_ard_3-2-1_51JYN_2022-09-04_final.stac-item
2022-10-17 11:33:12	ga_s2bm_ard_3-2-1_51KWT_2022-10-17_final.stac-item
2022-10-17 11:36:46	ga_s2bm_ard_3-2-1_51HTD_2022-10-17_final.stac-item
2022-10-20 11:42:41	ga_s2bm_ard_3-2-1_51KVV_2022-10-20_final.stac-item
2022-11-05 12:04:26	ga_s2bm_ard_3-2-1_50KKU_2022-11-05_final.stac-item
2022-11-26 11:34:10	ga_s2bm_ard_3-2-1_51KWP_2022-11-26_final.stac-item
2023-02-07 11:42:44	ga_s2bm_ard_3-2-1_51KUV_2023-02-07_final.stac-item
2023-02-14 11:33:21	ga_s2bm_ard_3-2-1_51KUT_2023-02-14_final.stac-item
2023-03-23 11:23:30	ga_s2bm_ard_3-2-1_51KXS_2023-03-23_final.stac-item
2023-04-02 11:23:17	ga_s2bm_ard_3-2-1_51KXT_2023-04-02_final.stac-item
2023-05-08 11:42:45	ga_s2bm_ard_3-2-1_51KVV_2023-05-08_final.stac-item
2023-05-28 11:42:46	ga_s2bm_ard_3-2-1_51KVV_2023-05-28_final.stac-item
2023-06-04 11:36:00	ga_s2bm_ard_3-2-1_51JVG_2023-06-04_final.stac-item
2023-07-01 11:24:20	ga_s2bm_ard_3-2-1_51KWP_2023-07-01_final.stac-item
2023-07-27 11:42:51	ga_s2bm_ard_3-2-1_51KUV_2023-07-27_final.stac-item
2023-08-03 11:37:31	ga_s2bm_ard_3-2-1_50HNG_2023-08-03_final.stac-item
2023-08-10 11:24:20	ga_s2bm_ard_3-2-1_51KWP_2023-08-10_final.stac-item
2023-08-23 11:33:49	ga_s2bm_ard_3-2-1_51KVR_2023-08-23_final.stac-item
2023-08-26 11:43:06	ga_s2bm_ard_3-2-1_50KRD_2023-08-26_final.stac-item
2023-08-30 11:24:02	ga_s2bm_ard_3-2-1_51KXQ_2023-08-30_final.stac-item
2023-10-12 11:33:25	ga_s2bm_ard_3-2-1_51KXS_2023-10-12_final.stac-item
2023-10-22 11:33:14	ga_s2bm_ard_3-2-1_51KWT_2023-10-22_final.stac-item
2023-12-07 11:53:07	ga_s2bm_ard_3-2-1_50KRC_2023-12-07_final.stac-item
2023-12-17 11:52:37	ga_s2bm_ard_3-2-1_50KPF_2023-12-17_final.stac-item
2023-12-21 11:33:53	ga_s2bm_ard_3-2-1_51KXQ_2023-12-21_final.stac-item
2024-01-20 11:32:43	ga_s2bm_ard_3-2-1_51KWV_2024-01-20_final.stac-item
2024-02-09 11:32:47	ga_s2bm_ard_3-2-1_51KVV_2024-02-09_final.stac-item
2024-03-10 11:36:22	ga_s2bm_ard_3-2-1_50JPL_2024-03-10_final.stac-item
2024-04-02 11:42:59	ga_s2bm_ard_3-2-1_51KUU_2024-04-02_final.stac-item
2024-04-22 11:42:42	ga_s2bm_ard_3-2-1_51KVV_2024-04-22_final.stac-item
2024-04-23 11:16:58	ga_s2bm_ard_3-2-1_51HWC_2024-04-23_final.stac-item
2024-05-22 11:43:03	ga_s2bm_ard_3-2-1_51KTU_2024-05-22_final.stac-item
2024-06-01 11:42:14	ga_s2bm_ard_3-2-1_51KVB_2024-06-01_nrt.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