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
2017-12-15 11:37:37	ga_s2bm_ard_3-2-1_51KWB_2017-12-15_final
2018-01-08 11:19:36	ga_s2bm_ard_3-2-1_51KXR_2018-01-08_final
2018-01-11 11:27:21	ga_s2bm_ard_3-2-1_50HPK_2018-01-11_final
2018-04-08 11:16:56	ga_s2bm_ard_3-2-1_51KZP_2018-04-08_final
2018-04-11 11:30:56	ga_s2bm_ard_3-2-1_51KWT_2018-04-11_final
2018-07-03 11:38:24	ga_s2bm_ard_3-2-1_51LUE_2018-07-03_final
2018-10-08 11:30:50	ga_s2bm_ard_3-2-1_51KWB_2018-10-08_final
2018-10-21 11:38:40	ga_s2bm_ard_3-2-1_51KUT_2018-10-21_final
2018-10-31 11:39:52	ga_s2bm_ard_3-2-1_51LUF_2018-10-31_final
2018-11-17 11:32:59	ga_s2bm_ard_3-2-1_51KVU_2018-11-17_final
2018-11-20 11:43:10	ga_s2bm_ard_3-2-1_51KTT_2018-11-20_final
2018-12-04 11:23:20	ga_s2bm_ard_3-2-1_51KYS_2018-12-04_final
2018-12-10 11:42:10	ga_s2bm_ard_3-2-1_51KUB_2018-12-10_final.stac-item
2019-01-03 11:23:47	ga_s2bm_ard_3-2-1_51KZQ_2019-01-03_final
2019-01-10 11:16:58	ga_s2bm_ard_3-2-1_51HWC_2019-01-10_final.stac-item
2019-02-05 11:33:45	ga_s2bm_ard_3-2-1_51KVR_2019-02-05_final
2019-02-12 11:23:07	ga_s2bm_ard_3-2-1_51KZT_2019-02-12_final
2019-03-30 11:43:20	ga_s2bm_ard_3-2-1_50KRC_2019-03-30_final
2019-04-13 11:23:52	ga_s2bm_ard_3-2-1_51KXR_2019-04-13_final
2019-06-12 11:24:04	ga_s2bm_ard_3-2-1_51KXQ_2019-06-12_final
2019-06-14 12:03:27	ga_s2bm_ard_3-2-1_50KNC_2019-06-14_final
2019-06-15 11:34:10	ga_s2bm_ard_3-2-1_51KUQ_2019-06-15_final
2019-06-22 11:23:43	ga_s2bm_ard_3-2-1_51KZR_2019-06-22_final
2019-06-25 11:32:57	ga_s2bm_ard_3-2-1_51KVV_2019-06-25_final
2019-08-18 11:14:15	ga_s2bm_ard_3-2-1_51KZP_2019-08-18_final
2019-09-07 11:13:31	ga_s2bm_ard_3-2-1_51KZS_2019-09-07_final
2019-10-12 12:05:02	ga_s2bm_ard_3-2-1_49JGM_2019-10-12_final
2019-11-12 11:33:55	ga_s2bm_ard_3-2-1_51KWQ_2019-11-12_final
2019-12-19 11:23:30	ga_s2bm_ard_3-2-1_51KZR_2019-12-19_final
2019-12-22 11:36:45	ga_s2bm_ard_3-2-1_51HUD_2019-12-22_final
2020-01-11 11:31:55	ga_s2bm_ard_3-2-1_51LWC_2020-01-11_final
2020-03-18 11:23:37	ga_s2bm_ard_3-2-1_51KYR_2020-03-18_final
2020-04-23 11:43:38	ga_s2bm_ard_3-2-1_51KUR_2020-04-23_final
2020-06-02 11:44:00	ga_s2bm_ard_3-2-1_51KUQ_2020-06-02_final
2020-07-26 11:23:41	ga_s2bm_ard_3-2-1_51KYR_2020-07-26_final
2020-08-07 12:05:44	ga_s2bm_ard_3-2-1_50JKP_2020-08-07_final
2020-09-27 11:37:04	ga_s2bm_ard_3-2-1_51HTC_2020-09-27_final
2020-10-07 11:32:18	ga_s2bm_ard_3-2-1_51KWB_2020-10-07_final
2020-10-17 11:33:20	ga_s2bm_ard_3-2-1_51KVT_2020-10-17_final
2020-10-21 11:14:12	ga_s2bm_ard_3-2-1_51KZP_2020-10-21_final
2020-10-24 11:25:13	ga_s2bm_ard_3-2-1_51JXK_2020-10-24_final
2020-10-30 11:44:01	ga_s2bm_ard_3-2-1_51KUQ_2020-10-30_final
2020-11-12 11:52:21	ga_s2bm_ard_3-2-1_50KQG_2020-11-12_final.stac-item
2021-01-05 11:32:45	ga_s2bm_ard_3-2-1_51KVV_2021-01-05_final
2021-01-25 11:36:38	ga_s2bm_ard_3-2-1_50HPK_2021-01-25_final
2021-03-15 12:03:58	ga_s2bm_ard_3-2-1_49KHR_2021-03-15_final
2021-03-22 11:56:29	ga_s2bm_ard_3-2-1_50HNK_2021-03-22_final
2021-03-26 11:32:24	ga_s2bm_ard_3-2-1_51KXA_2021-03-26_final
2021-05-02 11:24:37	ga_s2bm_ard_3-2-1_51JXM_2021-05-02_final
2021-05-15 11:32:28	ga_s2bm_ard_3-2-1_51KWA_2021-05-15_final
2021-07-14 11:32:46	ga_s2bm_ard_3-2-1_51KWV_2021-07-14_final
2021-07-24 11:34:02	ga_s2bm_ard_3-2-1_51KVQ_2021-07-24_final
2021-08-27 11:13:38	ga_s2bm_ard_3-2-1_51KZR_2021-08-27_final
2021-09-02 11:33:24	ga_s2bm_ard_3-2-1_51KWS_2021-09-02_final
2021-09-06 11:14:05	ga_s2bm_ard_3-2-1_51KZP_2021-09-06_final
2021-09-16 11:13:50	ga_s2bm_ard_3-2-1_51KZQ_2021-09-16_final
2021-09-22 11:34:26	ga_s2bm_ard_3-2-1_51JVN_2021-09-22_final
2021-10-21 12:06:05	ga_s2bm_ard_3-2-1_50JLM_2021-10-21_final
2021-10-25 11:43:45	ga_s2bm_ard_3-2-1_51KUR_2021-10-25_final
2022-01-03 11:42:42	ga_s2bm_ard_3-2-1_51KUV_2022-01-03_final
2022-01-27 11:22:50	ga_s2bm_ard_3-2-1_51KYU_2022-01-27_final
2022-02-09 11:36:46	ga_s2bm_ard_3-2-1_50HPJ_2022-02-09_final
2022-02-18 12:04:54	ga_s2bm_ard_3-2-1_49JGM_2022-02-18_final
2022-03-21 11:36:17	ga_s2bm_ard_3-2-1_50JQL_2022-03-21_final
2022-04-10 11:33:20	ga_s2bm_ard_3-2-1_51KXS_2022-04-10_final
2022-05-13 11:42:26	ga_s2bm_ard_3-2-1_51KVA_2022-05-13_final
2022-05-17 11:26:58	ga_s2bm_ard_3-2-1_51HVC_2022-05-17_final
2022-06-09 11:33:40	ga_s2bm_ard_3-2-1_51KXR_2022-06-09_final
2022-08-05 11:23:26	ga_s2bm_ard_3-2-1_51KZS_2022-08-05_final
2022-08-15 11:23:42	ga_s2bm_ard_3-2-1_51KYR_2022-08-15_final
2022-09-27 11:33:13	ga_s2bm_ard_3-2-1_51KWT_2022-09-27_final.stac-item
2022-10-07 11:36:07	ga_s2bm_ard_3-2-1_51JVF_2022-10-07_final.stac-item
2022-10-10 11:43:13	ga_s2bm_ard_3-2-1_51KUT_2022-10-10_final.stac-item
2022-10-14 11:24:03	ga_s2bm_ard_3-2-1_51KZP_2022-10-14_final.stac-item
2022-10-30 11:42:44	ga_s2bm_ard_3-2-1_51KUV_2022-10-30_final.stac-item
2022-11-03 11:22:58	ga_s2bm_ard_3-2-1_51KXU_2022-11-03_final.stac-item
2022-11-03 11:23:55	ga_s2bm_ard_3-2-1_51KXQ_2022-11-03_final.stac-item
2022-12-02 11:56:09	ga_s2bm_ard_3-2-1_50JLM_2022-12-02_final.stac-item
2022-12-03 11:23:47	ga_s2bm_ard_3-2-1_51KZQ_2022-12-03_final.stac-item
2022-12-09 11:41:29	ga_s2bm_ard_3-2-1_51LUE_2022-12-09_final.stac-item
2022-12-26 11:32:54	ga_s2bm_ard_3-2-1_51KVU_2022-12-26_final.stac-item
2023-01-15 11:33:19	ga_s2bm_ard_3-2-1_51KUT_2023-01-15_final.stac-item
2023-01-24 12:03:57	ga_s2bm_ard_3-2-1_49KHR_2023-01-24_final.stac-item
2023-02-04 11:33:53	ga_s2bm_ard_3-2-1_51KWQ_2023-02-04_final.stac-item
2023-02-11 11:23:23	ga_s2bm_ard_3-2-1_51KYS_2023-02-11_final.stac-item
2023-02-23 12:03:44	ga_s2bm_ard_3-2-1_49KHS_2023-02-23_final.stac-item
2023-05-05 11:34:13	ga_s2bm_ard_3-2-1_51KWP_2023-05-05_final.stac-item
2023-05-25 11:37:02	ga_s2bm_ard_3-2-1_51HUC_2023-05-25_final.stac-item
2023-07-04 11:33:50	ga_s2bm_ard_3-2-1_51KVR_2023-07-04_final.stac-item
2023-08-16 11:42:22	ga_s2bm_ard_3-2-1_51KUB_2023-08-16_final.stac-item
2023-09-22 11:32:04	ga_s2bm_ard_3-2-1_51LWC_2023-09-22_final.stac-item
2023-10-16 11:13:56	ga_s2bm_ard_3-2-1_51KZQ_2023-10-16_final.stac-item
2023-11-24 11:42:22	ga_s2bm_ard_3-2-1_51KVA_2023-11-24_final.stac-item
2023-11-25 11:14:04	ga_s2bm_ard_3-2-1_51KZP_2023-11-25_final.stac-item
2023-11-28 11:24:01	ga_s2bm_ard_3-2-1_51KZP_2023-11-28_final.stac-item
2023-12-04 11:42:57	ga_s2bm_ard_3-2-1_51KUU_2023-12-04_final.stac-item
2024-02-09 11:32:50	ga_s2bm_ard_3-2-1_51KYU_2024-02-09_final.stac-item
2024-03-10 11:32:21	ga_s2bm_ard_3-2-1_51KXA_2024-03-10_final.stac-item
2024-04-26 11:24:07	ga_s2bm_ard_3-2-1_51KYP_2024-04-26_final.stac-item
2024-05-02 11:42:28	ga_s2bm_ard_3-2-1_51KVA_2024-05-02_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