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
2017-10-26 11:41:25	ga_s2bm_ard_3-2-1_50KRD_2017-10-26_final
2017-12-05 11:40:37	ga_s2bm_ard_3-2-1_51KVT_2017-12-05_final
2018-01-04 11:37:43	ga_s2bm_ard_3-2-1_51KUV_2018-01-04_final
2018-02-26 11:49:11	ga_s2bm_ard_3-2-1_50JLQ_2018-02-26_final
2018-04-11 11:36:20	ga_s2bm_ard_3-2-1_50HPJ_2018-04-11_final
2018-04-14 11:40:40	ga_s2bm_ard_3-2-1_51KVS_2018-04-14_final
2018-05-01 11:27:31	ga_s2bm_ard_3-2-1_51KWV_2018-05-01_final
2018-05-24 11:37:57	ga_s2bm_ard_3-2-1_51KTU_2018-05-24_final
2018-06-26 11:54:14	ga_s2bm_ard_3-2-1_50JLM_2018-06-26_final
2018-07-16 11:52:50	ga_s2bm_ard_3-2-1_50JLN_2018-07-16_final
2018-08-15 11:54:27	ga_s2bm_ard_3-2-1_50JPR_2018-08-15_final
2018-09-05 11:21:46	ga_s2bm_ard_3-2-1_51KXS_2018-09-05_final
2018-09-28 11:30:45	ga_s2bm_ard_3-2-1_51JVG_2018-09-28_final
2018-09-28 11:30:45	ga_s2bm_ard_3-2-1_51KVR_2018-09-28_final
2018-10-11 11:41:47	ga_s2bm_ard_3-2-1_51KUV_2018-10-11_final
2018-11-20 11:43:07	ga_s2bm_ard_3-2-1_51KVT_2018-11-20_final
2018-12-20 11:43:13	ga_s2bm_ard_3-2-1_51KTT_2018-12-20_final
2019-01-09 11:42:41	ga_s2bm_ard_3-2-1_51KVV_2019-01-09_final
2019-03-24 11:26:59	ga_s2bm_ard_3-2-1_51HVC_2019-03-24_final
2019-04-15 12:04:48	ga_s2bm_ard_3-2-1_49JHN_2019-04-15_final
2019-04-26 11:32:22	ga_s2bm_ard_3-2-1_51KWB_2019-04-26_final
2019-04-29 11:45:47	ga_s2bm_ard_3-2-1_50JNP_2019-04-29_final
2019-05-06 11:34:04	ga_s2bm_ard_3-2-1_51KWQ_2019-05-06_final
2019-05-19 11:43:09	ga_s2bm_ard_3-2-1_51KUU_2019-05-19_final
2019-06-12 11:23:48	ga_s2bm_ard_3-2-1_51KXR_2019-06-12_final
2019-06-25 11:32:49	ga_s2bm_ard_3-2-1_51KWV_2019-06-25_final
2019-08-14 11:33:59	ga_s2bm_ard_3-2-1_51KXQ_2019-08-14_final
2019-09-23 11:33:22	ga_s2bm_ard_3-2-1_51KUT_2019-09-23_final
2019-10-13 11:33:17	ga_s2bm_ard_3-2-1_51KVT_2019-10-13_final
2019-11-25 11:42:53	ga_s2bm_ard_3-2-1_51KVU_2019-11-25_final
2019-11-25 11:43:00	ga_s2bm_ard_3-2-1_51KTU_2019-11-25_final
2020-01-07 11:53:26	ga_s2bm_ard_3-2-1_50KMC_2020-01-07_final
2020-01-21 11:32:22	ga_s2bm_ard_3-2-1_51KWA_2020-01-21_final
2020-01-31 11:33:01	ga_s2bm_ard_3-2-1_51KXT_2020-01-31_final
2020-02-03 11:42:53	ga_s2bm_ard_3-2-1_51KUU_2020-02-03_final
2020-03-24 11:43:27	ga_s2bm_ard_3-2-1_51KUS_2020-03-24_final
2020-04-23 11:42:51	ga_s2bm_ard_3-2-1_51KVU_2020-04-23_final
2020-05-23 11:43:36	ga_s2bm_ard_3-2-1_51KVR_2020-05-23_final
2020-05-29 12:06:05	ga_s2bm_ard_3-2-1_50JLM_2020-05-29_final
2020-06-29 11:36:36	ga_s2bm_ard_3-2-1_50HQK_2020-06-29_final
2020-07-06 11:27:00	ga_s2bm_ard_3-2-1_51HVC_2020-07-06_final
2020-07-28 12:05:43	ga_s2bm_ard_3-2-1_50JKP_2020-07-28_final
2020-08-07 12:03:48	ga_s2bm_ard_3-2-1_49KHS_2020-08-07_final.stac-item
2020-09-10 11:42:48	ga_s2bm_ard_3-2-1_51KUV_2020-09-10_final
2020-10-09 12:13:55	ga_s2bm_ard_3-2-1_49KHR_2020-10-09_final
2020-10-20 11:43:07	ga_s2bm_ard_3-2-1_51KTU_2020-10-20_final
2020-10-23 11:57:27	ga_s2bm_ard_3-2-1_50HLG_2020-10-23_final.stac-item
2020-11-22 11:57:21	ga_s2bm_ard_3-2-1_50HMG_2020-11-22_final.stac-item
2021-02-07 11:42:12	ga_s2bm_ard_3-2-1_51KVB_2021-02-07_final
2021-04-05 11:33:21	ga_s2bm_ard_3-2-1_51KXS_2021-04-05_final
2021-05-12 11:23:41	ga_s2bm_ard_3-2-1_51KXR_2021-05-12_final
2021-05-19 11:14:29	ga_s2bm_ard_3-2-1_51JYN_2021-05-19_final
2021-06-17 11:46:42	ga_s2bm_ard_3-2-1_50HMK_2021-06-17_final
2021-07-07 11:43:06	ga_s2bm_ard_3-2-1_50KRD_2021-07-07_final
2021-08-06 11:43:30	ga_s2bm_ard_3-2-1_51KUS_2021-08-06_final
2021-08-09 11:57:21	ga_s2bm_ard_3-2-1_50HMG_2021-08-09_final.stac-item
2021-08-10 11:24:38	ga_s2bm_ard_3-2-1_51JYM_2021-08-10_final
2021-08-13 11:33:23	ga_s2bm_ard_3-2-1_51KUT_2021-08-13_final
2021-08-13 11:37:27	ga_s2bm_ard_3-2-1_50HNG_2021-08-13_final.stac-item
2021-09-15 11:42:56	ga_s2bm_ard_3-2-1_51KUU_2021-09-15_final
2021-09-29 11:23:12	ga_s2bm_ard_3-2-1_51KXT_2021-09-29_final
2021-10-02 11:33:56	ga_s2bm_ard_3-2-1_51KWQ_2021-10-02_final
2021-10-22 11:36:12	ga_s2bm_ard_3-2-1_51JVF_2021-10-22_final
2021-10-25 11:42:47	ga_s2bm_ard_3-2-1_51KUV_2021-10-25_final
2021-11-11 11:33:01	ga_s2bm_ard_3-2-1_51KVU_2021-11-11_final
2022-01-20 11:33:51	ga_s2bm_ard_3-2-1_51KWQ_2022-01-20_final
2022-01-30 11:33:16	ga_s2bm_ard_3-2-1_51KUT_2022-01-30_final
2022-04-03 11:46:48	ga_s2bm_ard_3-2-1_50HNJ_2022-04-03_final
2022-04-13 11:42:13	ga_s2bm_ard_3-2-1_51KUB_2022-04-13_final.stac-item
2022-05-03 11:42:08	ga_s2bm_ard_3-2-1_51KVB_2022-05-03_final
2022-05-10 11:37:14	ga_s2bm_ard_3-2-1_50HQG_2022-05-10_final.stac-item
2022-06-09 11:33:36	ga_s2bm_ard_3-2-1_51KUS_2022-06-09_final
2022-07-09 11:33:50	ga_s2bm_ard_3-2-1_51KVR_2022-07-09_final
2022-07-28 12:05:02	ga_s2bm_ard_3-2-1_50JKS_2022-07-28_final
2022-10-03 11:53:16	ga_s2bm_ard_3-2-1_50KQC_2022-10-03_final.stac-item
2022-10-17 11:33:33	ga_s2bm_ard_3-2-1_51KUS_2022-10-17_final.stac-item
2022-12-16 11:33:07	ga_s2bm_ard_3-2-1_51KXT_2022-12-16_final.stac-item
2023-01-12 11:23:38	ga_s2bm_ard_3-2-1_51KXR_2023-01-12_final.stac-item
2023-01-24 12:03:57	ga_s2bm_ard_3-2-1_49KHR_2023-01-24_final.stac-item
2023-03-19 11:47:06	ga_s2bm_ard_3-2-1_50HPH_2023-03-19_final.stac-item
2023-04-02 11:23:31	ga_s2bm_ard_3-2-1_51KXS_2023-04-02_final.stac-item
2023-04-08 11:42:59	ga_s2bm_ard_3-2-1_51KVU_2023-04-08_final.stac-item
2023-04-28 11:43:31	ga_s2bm_ard_3-2-1_51KUS_2023-04-28_final.stac-item
2023-05-05 11:36:45	ga_s2bm_ard_3-2-1_51HUD_2023-05-05_final.stac-item
2023-05-08 11:43:32	ga_s2bm_ard_3-2-1_51KUS_2023-05-08_final.stac-item
2023-05-12 11:24:17	ga_s2bm_ard_3-2-1_51KWP_2023-05-12_final.stac-item
2023-06-17 11:42:47	ga_s2bm_ard_3-2-1_51KVV_2023-06-17_final.stac-item
2023-06-24 11:34:04	ga_s2bm_ard_3-2-1_51KVQ_2023-06-24_final.stac-item
2023-07-03 12:05:31	ga_s2bm_ard_3-2-1_50JKQ_2023-07-03_final.stac-item
2023-07-17 11:47:12	ga_s2bm_ard_3-2-1_50HNH_2023-07-17_final.stac-item
2023-10-22 11:33:14	ga_s2bm_ard_3-2-1_51KWT_2023-10-22_final.stac-item
2023-11-01 11:32:22	ga_s2bm_ard_3-2-1_51KVB_2023-11-01_final.stac-item
2023-11-11 11:33:10	ga_s2bm_ard_3-2-1_51KXT_2023-11-11_final.stac-item
2023-12-17 11:52:37	ga_s2bm_ard_3-2-1_50KPF_2023-12-17_final.stac-item
2023-12-31 11:33:57	ga_s2bm_ard_3-2-1_51KWQ_2023-12-31_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 11:32:44	ga_s2bm_ard_3-2-1_51KWV_2024-02-09_final.stac-item
2024-02-09 11:32:47	ga_s2bm_ard_3-2-1_51KVV_2024-02-09_final.stac-item
2024-03-03 11:43:18	ga_s2bm_ard_3-2-1_50KQC_2024-03-03_final.stac-item
2024-04-23 11:15:13	ga_s2bm_ard_3-2-1_51JYK_2024-04-23_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