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 11:59:31	ga_s2bm_ard_3-2-1_49JHN_2017-07-04_final.stac-item
2017-08-23 12:03:44	ga_s2bm_ard_3-2-1_49KHR_2017-08-23_final
2017-11-18 11:49:07	ga_s2bm_ard_3-2-1_50JMN_2017-11-18_final
2017-11-22 11:35:56	ga_s2bm_ard_3-2-1_51HUD_2017-11-22_final
2018-02-10 11:30:33	ga_s2bm_ard_3-2-1_51KVA_2018-02-10_final
2018-04-07 11:53:07	ga_s2bm_ard_3-2-1_50JMM_2018-04-07_final
2018-04-11 11:36:20	ga_s2bm_ard_3-2-1_51HTC_2018-04-11_final
2018-05-20 12:02:47	ga_s2bm_ard_3-2-1_50KKB_2018-05-20_final
2018-07-03 11:44:57	ga_s2bm_ard_3-2-1_50HPH_2018-07-03_final
2018-07-12 12:13:20	ga_s2bm_ard_3-2-1_49JGK_2018-07-12_final
2018-07-23 11:40:57	ga_s2bm_ard_3-2-1_51KUU_2018-07-23_final
2018-07-26 11:52:57	ga_s2bm_ard_3-2-1_50JML_2018-07-26_final
2018-07-27 11:23:26	ga_s2bm_ard_3-2-1_51JZN_2018-07-27_final
2018-07-29 12:04:59	ga_s2bm_ard_3-2-1_50JLN_2018-07-29_final
2018-08-18 12:03:23	ga_s2bm_ard_3-2-1_49JGJ_2018-08-18_final
2018-09-10 12:13:12	ga_s2bm_ard_3-2-1_49KHR_2018-09-10_final
2018-10-01 11:44:52	ga_s2bm_ard_3-2-1_50HMH_2018-10-01_final
2018-11-29 12:13:50	ga_s2bm_ard_3-2-1_49KHR_2018-11-29_final
2019-01-05 12:03:39	ga_s2bm_ard_3-2-1_50KLB_2019-01-05_final
2019-01-23 11:25:16	ga_s2bm_ard_3-2-1_51JVK_2019-01-23_final
2019-02-08 11:43:00	ga_s2bm_ard_3-2-1_51KUU_2019-02-08_final
2019-04-15 12:05:02	ga_s2bm_ard_3-2-1_50JKS_2019-04-15_final
2019-05-16 11:36:37	ga_s2bm_ard_3-2-1_51HUE_2019-05-16_final
2019-05-25 12:04:51	ga_s2bm_ard_3-2-1_50JKT_2019-05-25_final
2019-06-04 12:04:39	ga_s2bm_ard_3-2-1_49KGP_2019-06-04_final
2019-06-05 11:32:37	ga_s2bm_ard_3-2-1_51KWA_2019-06-05_final
2019-06-22 11:24:59	ga_s2bm_ard_3-2-1_51JYL_2019-06-22_final
2019-07-11 11:56:34	ga_s2bm_ard_3-2-1_50JLL_2019-07-11_final
2019-07-15 11:36:51	ga_s2bm_ard_3-2-1_51HUD_2019-07-15_final
2019-10-02 12:04:46	ga_s2bm_ard_3-2-1_49JGN_2019-10-02_final
2019-10-03 11:32:30	ga_s2bm_ard_3-2-1_51KWA_2019-10-03_final
2019-11-22 11:37:18	ga_s2bm_ard_3-2-1_50HPG_2019-11-22_final.stac-item
2019-12-24 12:15:05	ga_s2bm_ard_3-2-1_49JGL_2019-12-24_final
2019-12-25 11:44:11	ga_s2bm_ard_3-2-1_51KTP_2019-12-25_final
2020-01-10 12:03:36	ga_s2bm_ard_3-2-1_50KLB_2020-01-10_final
2020-01-24 11:46:55	ga_s2bm_ard_3-2-1_50HPH_2020-01-24_final
2020-01-30 12:05:07	ga_s2bm_ard_3-2-1_49JGL_2020-01-30_final
2020-04-13 11:47:20	ga_s2bm_ard_3-2-1_50HMG_2020-04-13_final.stac-item
2020-04-27 11:24:21	ga_s2bm_ard_3-2-1_51JXN_2020-04-27_final
2020-05-13 11:47:16	ga_s2bm_ard_3-2-1_50HPG_2020-05-13_final.stac-item
2020-05-30 11:37:08	ga_s2bm_ard_3-2-1_50HPH_2020-05-30_final
2020-07-22 11:46:10	ga_s2bm_ard_3-2-1_50JNM_2020-07-22_final
2020-09-07 11:36:34	ga_s2bm_ard_3-2-1_51HTE_2020-09-07_final
2020-11-25 12:05:01	ga_s2bm_ard_3-2-1_49JGM_2020-11-25_final
2021-01-07 12:14:55	ga_s2bm_ard_3-2-1_49JGM_2021-01-07_final
2021-04-25 11:36:33	ga_s2bm_ard_3-2-1_50HPK_2021-04-25_final
2021-05-02 11:25:13	ga_s2bm_ard_3-2-1_51JVK_2021-05-02_final
2021-05-22 11:26:32	ga_s2bm_ard_3-2-1_51HUE_2021-05-22_final
2021-05-24 12:03:59	ga_s2bm_ard_3-2-1_50KKA_2021-05-24_final
2021-05-31 11:56:55	ga_s2bm_ard_3-2-1_50HLJ_2021-05-31_final
2021-06-17 11:46:20	ga_s2bm_ard_3-2-1_50JPL_2021-06-17_final
2021-08-23 11:33:21	ga_s2bm_ard_3-2-1_51KUT_2021-08-23_final
2021-09-02 11:36:16	ga_s2bm_ard_3-2-1_50JQL_2021-09-02_final
2021-09-19 11:26:44	ga_s2bm_ard_3-2-1_51HUD_2021-09-19_final
2021-09-29 11:26:17	ga_s2bm_ard_3-2-1_51JUF_2021-09-29_final
2021-10-05 11:43:15	ga_s2bm_ard_3-2-1_51KUT_2021-10-05_final
2021-10-21 12:05:42	ga_s2bm_ard_3-2-1_50JKP_2021-10-21_final
2021-10-31 12:05:56	ga_s2bm_ard_3-2-1_50JKN_2021-10-31_final
2021-11-23 12:14:56	ga_s2bm_ard_3-2-1_49JFM_2021-11-23_final
2021-11-25 11:14:33	ga_s2bm_ard_3-2-1_51JZM_2021-11-25_final
2021-12-28 11:25:34	ga_s2bm_ard_3-2-1_51JXH_2021-12-28_final
2022-02-12 11:43:23	ga_s2bm_ard_3-2-1_51KUS_2022-02-12_final
2022-02-19 11:34:43	ga_s2bm_ard_3-2-1_50JRS_2022-02-19_final
2022-02-25 11:53:06	ga_s2bm_ard_3-2-1_50KRC_2022-02-25_final
2022-04-03 11:46:01	ga_s2bm_ard_3-2-1_50JPM_2022-04-03_final
2022-04-26 11:56:16	ga_s2bm_ard_3-2-1_50JML_2022-04-26_final
2022-05-03 11:46:21	ga_s2bm_ard_3-2-1_50JML_2022-05-03_final
2022-06-05 11:53:22	ga_s2bm_ard_3-2-1_50KPC_2022-06-05_final
2022-06-12 11:43:21	ga_s2bm_ard_3-2-1_51KTT_2022-06-12_final
2022-08-31 11:42:58	ga_s2bm_ard_3-2-1_51KVU_2022-08-31_final
2022-09-13 11:55:58	ga_s2bm_ard_3-2-1_50JLN_2022-09-13_final.stac-item
2022-09-30 11:45:06	ga_s2bm_ard_3-2-1_50JPR_2022-09-30_final.stac-item
2022-10-19 12:15:10	ga_s2bm_ard_3-2-1_49JGL_2022-10-19_final.stac-item
2022-10-20 11:44:22	ga_s2bm_ard_3-2-1_50KPU_2022-10-20_final.stac-item
2022-10-30 11:47:19	ga_s2bm_ard_3-2-1_50HNG_2022-10-30_final.stac-item
2022-11-16 11:35:19	ga_s2bm_ard_3-2-1_51JWJ_2022-11-16_final.stac-item
2022-11-22 11:56:11	ga_s2bm_ard_3-2-1_50JLM_2022-11-22_final.stac-item
2022-12-08 12:13:51	ga_s2bm_ard_3-2-1_49KHR_2022-12-08_final.stac-item
2022-12-22 11:55:55	ga_s2bm_ard_3-2-1_50JLN_2022-12-22_final.stac-item
2023-01-21 11:54:06	ga_s2bm_ard_3-2-1_50KNV_2023-01-21_final.stac-item
2023-02-13 12:03:29	ga_s2bm_ard_3-2-1_50KMB_2023-02-13_final.stac-item
2023-04-01 11:57:13	ga_s2bm_ard_3-2-1_50HLH_2023-04-01_final.stac-item
2023-05-22 11:27:03	ga_s2bm_ard_3-2-1_51HVC_2023-05-22_final.stac-item
2023-05-28 11:42:46	ga_s2bm_ard_3-2-1_51KVV_2023-05-28_final.stac-item
2023-06-24 11:33:38	ga_s2bm_ard_3-2-1_51KUS_2023-06-24_final.stac-item
2023-08-13 11:35:18	ga_s2bm_ard_3-2-1_51JVK_2023-08-13_final.stac-item
2023-08-29 11:57:13	ga_s2bm_ard_3-2-1_49HGC_2023-08-29_nrt.stac-item
2023-09-21 12:03:48	ga_s2bm_ard_3-2-1_50KKB_2023-09-21_final.stac-item
2023-10-31 12:05:03	ga_s2bm_ard_3-2-1_49JGM_2023-10-31_final.stac-item
2023-10-31 12:05:46	ga_s2bm_ard_3-2-1_49JGJ_2023-10-31_final.stac-item
2023-11-08 11:24:39	ga_s2bm_ard_3-2-1_51JYM_2023-11-08_final.stac-item
2023-11-11 11:35:32	ga_s2bm_ard_3-2-1_51JUJ_2023-11-11_final.stac-item
2023-11-20 12:04:22	ga_s2bm_ard_3-2-1_50KLU_2023-11-20_final.stac-item
2023-11-24 11:42:58	ga_s2bm_ard_3-2-1_51KTU_2023-11-24_final.stac-item
2023-12-01 11:33:45	ga_s2bm_ard_3-2-1_51KUR_2023-12-01_final.stac-item
2024-01-06 11:53:24	ga_s2bm_ard_3-2-1_50KNC_2024-01-06_final.stac-item
2024-01-16 11:53:20	ga_s2bm_ard_3-2-1_50KPC_2024-01-16_final.stac-item
2024-01-29 12:05:39	ga_s2bm_ard_3-2-1_50JKP_2024-01-29_final.stac-item
2024-02-28 12:04:52	ga_s2bm_ard_3-2-1_50JLS_2024-02-28_final.stac-item
2024-03-27 11:24:19	ga_s2bm_ard_3-2-1_51JZN_2024-03-27_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