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
2017-07-18 11:45:05	ga_s2bm_ard_3-2-1_50HNJ_2017-07-18_final
2017-10-12 12:02:35	ga_s2bm_ard_3-2-1_50JLN_2017-10-12_final
2017-10-13 11:30:03	ga_s2bm_ard_3-2-1_51JVM_2017-10-13_final
2017-11-12 11:27:16	ga_s2bm_ard_3-2-1_51JUJ_2017-11-12_final
2017-12-01 12:02:38	ga_s2bm_ard_3-2-1_50KKB_2017-12-01_final
2017-12-08 11:49:07	ga_s2bm_ard_3-2-1_50HLK_2017-12-08_final
2018-01-28 11:25:10	ga_s2bm_ard_3-2-1_51JXJ_2018-01-28_final
2018-01-30 12:02:42	ga_s2bm_ard_3-2-1_50JKN_2018-01-30_final
2018-03-02 11:33:20	ga_s2bm_ard_3-2-1_51JVJ_2018-03-02_final
2018-03-15 11:39:58	ga_s2bm_ard_3-2-1_50JMM_2018-03-15_final
2018-06-03 11:46:44	ga_s2bm_ard_3-2-1_50HPG_2018-06-03_final.stac-item
2018-06-26 11:54:14	ga_s2bm_ard_3-2-1_50JKN_2018-06-26_final
2018-07-26 11:52:57	ga_s2bm_ard_3-2-1_50KPC_2018-07-26_final
2018-08-22 11:44:50	ga_s2bm_ard_3-2-1_50JPL_2018-08-22_final
2018-08-29 11:30:45	ga_s2bm_ard_3-2-1_51JUG_2018-08-29_final
2018-09-08 11:30:45	ga_s2bm_ard_3-2-1_51JUJ_2018-09-08_final
2018-09-14 11:52:51	ga_s2bm_ard_3-2-1_50KRC_2018-09-14_final
2018-09-20 12:13:54	ga_s2bm_ard_3-2-1_49JGN_2018-09-20_final
2018-09-27 12:02:43	ga_s2bm_ard_3-2-1_50KMA_2018-09-27_final
2018-10-05 11:21:50	ga_s2bm_ard_3-2-1_51JVG_2018-10-05_final
2018-10-24 11:53:29	ga_s2bm_ard_3-2-1_50JMM_2018-10-24_final
2018-11-07 11:36:15	ga_s2bm_ard_3-2-1_51JTF_2018-11-07_final
2018-11-26 12:03:40	ga_s2bm_ard_3-2-1_50KKB_2018-11-26_final
2018-12-24 11:24:47	ga_s2bm_ard_3-2-1_51JYL_2018-12-24_final
2019-01-05 12:05:27	ga_s2bm_ard_3-2-1_49JGK_2019-01-05_final
2019-01-09 11:47:23	ga_s2bm_ard_3-2-1_50HMG_2019-01-09_final.stac-item
2019-01-16 11:36:57	ga_s2bm_ard_3-2-1_51HUC_2019-01-16_final
2019-01-22 11:53:17	ga_s2bm_ard_3-2-1_50KQC_2019-01-22_final
2019-01-22 11:53:24	ga_s2bm_ard_3-2-1_50KNC_2019-01-22_final
2019-03-13 11:53:14	ga_s2bm_ard_3-2-1_50KQC_2019-03-13_final
2019-05-05 12:06:10	ga_s2bm_ard_3-2-1_50JLM_2019-05-05_final
2019-05-19 11:46:49	ga_s2bm_ard_3-2-1_50HQJ_2019-05-19_final
2019-06-22 11:26:48	ga_s2bm_ard_3-2-1_51HWD_2019-06-22_final
2019-08-01 11:26:41	ga_s2bm_ard_3-2-1_51HUE_2019-08-01_final
2019-08-13 12:06:11	ga_s2bm_ard_3-2-1_50JLM_2019-08-13_final
2019-08-31 11:24:40	ga_s2bm_ard_3-2-1_51JYM_2019-08-31_final
2019-10-12 12:04:47	ga_s2bm_ard_3-2-1_49JGN_2019-10-12_final
2019-10-16 11:43:20	ga_s2bm_ard_3-2-1_50KRC_2019-10-16_final
2019-11-02 11:37:03	ga_s2bm_ard_3-2-1_50HQH_2019-11-02_final
2019-12-05 11:45:15	ga_s2bm_ard_3-2-1_50JPQ_2019-12-05_final
2019-12-14 12:13:49	ga_s2bm_ard_3-2-1_49KHR_2019-12-14_final
2020-01-23 12:14:53	ga_s2bm_ard_3-2-1_49JFM_2020-01-23_final
2020-02-19 12:03:19	ga_s2bm_ard_3-2-1_50KMC_2020-02-19_final
2020-04-06 11:56:08	ga_s2bm_ard_3-2-1_50JLM_2020-04-06_final
2020-05-16 11:56:17	ga_s2bm_ard_3-2-1_50JNL_2020-05-16_final
2020-07-05 11:56:28	ga_s2bm_ard_3-2-1_50JLL_2020-07-05_final
2020-08-10 12:14:45	ga_s2bm_ard_3-2-1_49JGN_2020-08-10_final
2020-09-03 11:56:07	ga_s2bm_ard_3-2-1_50JNM_2020-09-03_final
2020-09-03 11:56:21	ga_s2bm_ard_3-2-1_50JNL_2020-09-03_final
2020-09-19 12:14:14	ga_s2bm_ard_3-2-1_49KGQ_2020-09-19_final
2020-10-09 12:14:02	ga_s2bm_ard_3-2-1_49KHR_2020-10-09_final
2020-11-29 11:47:09	ga_s2bm_ard_3-2-1_50HMH_2020-11-29_final
2020-12-16 11:36:39	ga_s2bm_ard_3-2-1_51HUD_2020-12-16_final
2020-12-22 11:56:22	ga_s2bm_ard_3-2-1_50JLL_2020-12-22_final
2021-01-01 11:53:23	ga_s2bm_ard_3-2-1_50KNC_2021-01-01_final
2021-01-14 12:03:59	ga_s2bm_ard_3-2-1_49KHR_2021-01-14_final
2021-02-01 11:24:55	ga_s2bm_ard_3-2-1_51JXL_2021-02-01_final
2021-06-14 11:36:27	ga_s2bm_ard_3-2-1_50JPL_2021-06-14_final
2021-07-21 11:26:42	ga_s2bm_ard_3-2-1_51HWD_2021-07-21_final
2021-08-07 11:16:45	ga_s2bm_ard_3-2-1_51HWD_2021-08-07_final
2021-10-24 12:14:00	ga_s2bm_ard_3-2-1_49KGR_2021-10-24_final
2021-12-13 12:13:44	ga_s2bm_ard_3-2-1_50KKA_2021-12-13_final
2021-12-13 12:15:05	ga_s2bm_ard_3-2-1_49JGL_2021-12-13_final
2021-12-21 11:36:52	ga_s2bm_ard_3-2-1_51HUC_2021-12-21_final
2021-12-27 11:56:36	ga_s2bm_ard_3-2-1_50HLK_2021-12-27_final
2022-01-09 12:04:24	ga_s2bm_ard_3-2-1_50KKU_2022-01-09_final
2022-01-26 11:55:53	ga_s2bm_ard_3-2-1_50JKN_2022-01-26_final
2022-01-30 11:36:37	ga_s2bm_ard_3-2-1_51HUD_2022-01-30_final
2022-03-30 12:03:56	ga_s2bm_ard_3-2-1_49KHR_2022-03-30_final
2022-05-20 11:36:52	ga_s2bm_ard_3-2-1_50HPJ_2022-05-20_final
2022-06-02 11:47:24	ga_s2bm_ard_3-2-1_50HMG_2022-06-02_final.stac-item
2022-06-06 11:24:27	ga_s2bm_ard_3-2-1_51JXN_2022-06-06_final
2022-06-18 12:04:32	ga_s2bm_ard_3-2-1_50KKU_2022-06-18_final
2022-06-21 12:14:46	ga_s2bm_ard_3-2-1_49JGN_2022-06-21_final
2022-09-01 11:17:00	ga_s2bm_ard_3-2-1_51HWC_2022-09-01_final.stac-item
2022-09-20 11:43:05	ga_s2bm_ard_3-2-1_50KRD_2022-09-20_final.stac-item
2022-10-13 11:53:20	ga_s2bm_ard_3-2-1_50KPC_2022-10-13_final.stac-item
2022-11-02 11:56:53	ga_s2bm_ard_3-2-1_50HLJ_2022-11-02_final.stac-item
2022-11-22 11:56:22	ga_s2bm_ard_3-2-1_50JML_2022-11-22_final.stac-item
2023-01-02 11:26:46	ga_s2bm_ard_3-2-1_51HUD_2023-01-02_final.stac-item
2023-02-06 12:13:52	ga_s2bm_ard_3-2-1_49KHR_2023-02-06_final.stac-item
2023-02-13 12:03:29	ga_s2bm_ard_3-2-1_50KMB_2023-02-13_final.stac-item
2023-02-16 12:15:08	ga_s2bm_ard_3-2-1_49JGL_2023-02-16_final.stac-item
2023-05-14 12:04:46	ga_s2bm_ard_3-2-1_50JKT_2023-05-14_final.stac-item
2023-05-14 12:05:04	ga_s2bm_ard_3-2-1_49JGM_2023-05-14_final.stac-item
2023-06-11 11:25:25	ga_s2bm_ard_3-2-1_51JYJ_2023-06-11_final.stac-item
2023-07-04 11:37:23	ga_s2bm_ard_3-2-1_50HQG_2023-07-04_final.stac-item
2023-08-05 12:15:04	ga_s2bm_ard_3-2-1_49JFM_2023-08-05_final.stac-item
2023-09-08 11:56:04	ga_s2bm_ard_3-2-1_50JKN_2023-09-08_final.stac-item
2023-09-28 11:53:24	ga_s2bm_ard_3-2-1_50KPC_2023-09-28_final.stac-item
2023-10-02 11:36:35	ga_s2bm_ard_3-2-1_50HQK_2023-10-02_final.stac-item
2023-11-08 11:24:43	ga_s2bm_ard_3-2-1_51JXM_2023-11-08_final.stac-item
2023-12-03 12:15:07	ga_s2bm_ard_3-2-1_49JGL_2023-12-03_final.stac-item
2023-12-28 11:26:19	ga_s2bm_ard_3-2-1_51JUF_2023-12-28_final.stac-item
2023-12-30 12:04:19	ga_s2bm_ard_3-2-1_49KGQ_2023-12-30_final.stac-item
2024-01-03 11:44:28	ga_s2bm_ard_3-2-1_51JUN_2024-01-03_final.stac-item
2024-01-09 12:03:57	ga_s2bm_ard_3-2-1_50KKA_2024-01-09_final.stac-item
2024-02-15 11:56:31	ga_s2bm_ard_3-2-1_50HNK_2024-02-15_final.stac-item
2024-03-17 11:25:41	ga_s2bm_ard_3-2-1_51JWH_2024-03-17_final.stac-item
2024-05-12 11:46:34	ga_s2bm_ard_3-2-1_50HPK_2024-05-12_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