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
2017-08-27 11:40:44	ga_s2bm_ard_3-2-1_51LUE_2017-08-27_final
2017-09-10 11:21:50	ga_s2bm_ard_3-2-1_51HWC_2017-09-10_final.stac-item
2017-11-15 11:46:01	ga_s2bm_ard_3-2-1_50HMG_2017-11-15_final.stac-item
2017-11-25 11:37:37	ga_s2bm_ard_3-2-1_50JPL_2017-11-25_final
2017-11-25 11:37:37	ga_s2bm_ard_3-2-1_50KRC_2017-11-25_final
2017-11-25 11:37:37	ga_s2bm_ard_3-2-1_50KRD_2017-11-25_final
2017-12-08 11:49:07	ga_s2bm_ard_3-2-1_50JMN_2017-12-08_final
2017-12-08 11:49:07	ga_s2bm_ard_3-2-1_50KRC_2017-12-08_final
2018-01-08 11:19:36	ga_s2bm_ard_3-2-1_51KZQ_2018-01-08_final
2018-03-22 11:29:32	ga_s2bm_ard_3-2-1_50HPJ_2018-03-22_final
2018-04-24 11:41:02	ga_s2bm_ard_3-2-1_50HPG_2018-04-24_final.stac-item
2018-04-24 11:41:02	ga_s2bm_ard_3-2-1_50HPH_2018-04-24_final
2018-06-30 11:33:25	ga_s2bm_ard_3-2-1_50HPH_2018-06-30_final
2018-07-07 11:21:54	ga_s2bm_ard_3-2-1_51KYQ_2018-07-07_final
2018-09-12 11:07:03	ga_s2bm_ard_3-2-1_51KZR_2018-09-12_final
2018-09-24 11:52:42	ga_s2bm_ard_3-2-1_50JKN_2018-09-24_final
2018-11-14 11:26:59	ga_s2bm_ard_3-2-1_51HUC_2018-11-14_final
2018-11-17 11:34:12	ga_s2bm_ard_3-2-1_51JXN_2018-11-17_final
2018-11-23 11:55:53	ga_s2bm_ard_3-2-1_50JLN_2018-11-23_final
2018-12-01 11:13:36	ga_s2bm_ard_3-2-1_51KZR_2018-12-01_final
2018-12-24 11:22:48	ga_s2bm_ard_3-2-1_51KZU_2018-12-24_final
2019-02-15 11:36:48	ga_s2bm_ard_3-2-1_50HQJ_2019-02-15_final
2019-03-17 11:34:41	ga_s2bm_ard_3-2-1_51JVM_2019-03-17_final
2019-04-05 12:04:02	ga_s2bm_ard_3-2-1_50KKA_2019-04-05_final
2019-04-10 11:16:48	ga_s2bm_ard_3-2-1_51HWD_2019-04-10_final
2019-05-06 11:32:23	ga_s2bm_ard_3-2-1_51KWB_2019-05-06_final
2019-05-08 12:14:35	ga_s2bm_ard_3-2-1_49KGP_2019-05-08_final
2019-06-08 11:46:30	ga_s2bm_ard_3-2-1_50JNL_2019-06-08_final
2019-06-25 11:32:50	ga_s2bm_ard_3-2-1_51KVV_2019-06-25_final
2019-07-25 11:32:49	ga_s2bm_ard_3-2-1_51KWV_2019-07-25_final
2019-07-28 11:46:42	ga_s2bm_ard_3-2-1_50HPK_2019-07-28_final
2019-08-07 11:42:03	ga_s2bm_ard_3-2-1_51LWC_2019-08-07_final
2019-08-21 11:25:15	ga_s2bm_ard_3-2-1_51JXK_2019-08-21_final
2019-09-15 12:15:00	ga_s2bm_ard_3-2-1_49JFM_2019-09-15_final
2019-09-22 12:04:27	ga_s2bm_ard_3-2-1_50KKU_2019-09-22_final
2019-10-26 11:43:05	ga_s2bm_ard_3-2-1_50KRD_2019-10-26_final
2019-11-02 11:34:03	ga_s2bm_ard_3-2-1_51KUQ_2019-11-02_final
2019-11-15 11:43:17	ga_s2bm_ard_3-2-1_50KRC_2019-11-15_final
2019-12-01 12:04:37	ga_s2bm_ard_3-2-1_49JHN_2019-12-01_final
2019-12-31 12:05:18	ga_s2bm_ard_3-2-1_50JLQ_2019-12-31_final
2020-01-11 11:32:23	ga_s2bm_ard_3-2-1_51KWA_2020-01-11_final
2020-01-31 11:32:07	ga_s2bm_ard_3-2-1_51KWB_2020-01-31_final
2020-02-03 11:43:12	ga_s2bm_ard_3-2-1_50KRC_2020-02-03_final
2020-03-01 11:34:29	ga_s2bm_ard_3-2-1_51JUN_2020-03-01_final
2020-03-31 11:36:58	ga_s2bm_ard_3-2-1_51HTC_2020-03-31_final
2020-05-06 11:55:57	ga_s2bm_ard_3-2-1_50JKN_2020-05-06_final
2020-05-17 11:26:52	ga_s2bm_ard_3-2-1_51HVD_2020-05-17_final
2020-07-22 11:42:11	ga_s2bm_ard_3-2-1_51KWB_2020-07-22_final
2020-07-26 11:24:58	ga_s2bm_ard_3-2-1_51JXL_2020-07-26_final
2020-08-01 11:41:36	ga_s2bm_ard_3-2-1_51LUE_2020-08-01_final
2020-09-09 12:13:57	ga_s2bm_ard_3-2-1_49KHR_2020-09-09_final
2021-02-24 11:31:58	ga_s2bm_ard_3-2-1_51LWC_2021-02-24_final
2021-03-10 11:16:40	ga_s2bm_ard_3-2-1_51HXD_2021-03-10_final
2021-04-15 11:31:38	ga_s2bm_ard_3-2-1_51LXD_2021-04-15_final
2021-04-28 11:42:52	ga_s2bm_ard_3-2-1_51KVU_2021-04-28_final
2021-05-02 11:26:40	ga_s2bm_ard_3-2-1_51HVD_2021-05-02_final
2021-05-18 11:43:18	ga_s2bm_ard_3-2-1_50KRC_2021-05-18_final
2021-07-31 11:26:02	ga_s2bm_ard_3-2-1_51JVG_2021-07-31_final
2021-08-15 12:13:58	ga_s2bm_ard_3-2-1_49KGR_2021-08-15_final
2021-08-23 11:34:42	ga_s2bm_ard_3-2-1_51JVM_2021-08-23_final
2021-09-12 11:32:59	ga_s2bm_ard_3-2-1_51KYT_2021-09-12_final
2021-09-21 12:04:58	ga_s2bm_ard_3-2-1_49JGM_2021-09-21_final
2021-09-29 11:22:51	ga_s2bm_ard_3-2-1_51KZU_2021-09-29_final
2021-09-29 11:23:56	ga_s2bm_ard_3-2-1_51KXQ_2021-09-29_final
2021-10-02 11:35:26	ga_s2bm_ard_3-2-1_51JVJ_2021-10-02_final
2021-10-28 11:55:54	ga_s2bm_ard_3-2-1_50JMN_2021-10-28_final
2022-01-06 11:57:05	ga_s2bm_ard_3-2-1_50HLH_2022-01-06_final
2022-01-07 11:26:58	ga_s2bm_ard_3-2-1_51HUC_2022-01-07_final
2022-01-10 11:36:57	ga_s2bm_ard_3-2-1_51HTC_2022-01-10_final
2022-02-06 11:26:53	ga_s2bm_ard_3-2-1_51HVC_2022-02-06_final
2022-02-26 11:23:09	ga_s2bm_ard_3-2-1_51KXT_2022-02-26_final
2022-03-11 11:34:27	ga_s2bm_ard_3-2-1_51JVN_2022-03-11_final
2022-03-30 12:05:37	ga_s2bm_ard_3-2-1_50JKP_2022-03-30_final
2022-04-09 12:03:17	ga_s2bm_ard_3-2-1_50KNC_2022-04-09_final
2022-05-27 11:24:32	ga_s2bm_ard_3-2-1_51JZM_2022-05-27_final
2022-06-12 11:42:12	ga_s2bm_ard_3-2-1_51KWB_2022-06-12_final
2022-06-28 12:06:00	ga_s2bm_ard_3-2-1_50JKN_2022-06-28_final
2022-07-16 11:23:58	ga_s2bm_ard_3-2-1_51KYQ_2022-07-16_final
2022-08-30 12:14:09	ga_s2bm_ard_3-2-1_49KHQ_2022-08-30_final
2022-09-14 11:24:39	ga_s2bm_ard_3-2-1_51JYM_2022-09-14_final.stac-item
2022-10-13 11:56:10	ga_s2bm_ard_3-2-1_50JLM_2022-10-13_final.stac-item
2022-11-02 11:54:06	ga_s2bm_ard_3-2-1_50KNV_2022-11-02_final.stac-item
2022-12-05 12:05:53	ga_s2bm_ard_3-2-1_50JKN_2022-12-05_final.stac-item
2023-02-14 11:36:32	ga_s2bm_ard_3-2-1_50HQK_2023-02-14_final.stac-item
2023-02-27 11:47:03	ga_s2bm_ard_3-2-1_50HPH_2023-02-27_final.stac-item
2023-04-05 11:34:35	ga_s2bm_ard_3-2-1_51JUN_2023-04-05_final.stac-item
2023-04-14 12:04:11	ga_s2bm_ard_3-2-1_50KLV_2023-04-14_final.stac-item
2023-05-25 11:37:11	ga_s2bm_ard_3-2-1_50HPH_2023-05-25_final.stac-item
2023-06-24 11:32:48	ga_s2bm_ard_3-2-1_51KWV_2023-06-24_final.stac-item
2023-07-17 11:47:29	ga_s2bm_ard_3-2-1_50HMG_2023-07-17_final.stac-item
2023-09-22 11:35:11	ga_s2bm_ard_3-2-1_51JWK_2023-09-22_final.stac-item
2023-11-08 11:25:59	ga_s2bm_ard_3-2-1_51JWG_2023-11-08_final.stac-item
2023-11-08 11:27:01	ga_s2bm_ard_3-2-1_51HVC_2023-11-08_final.stac-item
2023-11-15 11:14:09	ga_s2bm_ard_3-2-1_51KZP_2023-11-15_final.stac-item
2024-01-20 11:31:38	ga_s2bm_ard_3-2-1_51LYD_2024-01-20_final.stac-item
2024-01-23 11:46:14	ga_s2bm_ard_3-2-1_50JQL_2024-01-23_final.stac-item
2024-02-03 11:13:26	ga_s2bm_ard_3-2-1_51KZS_2024-02-03_final.stac-item
2024-03-27 11:24:37	ga_s2bm_ard_3-2-1_51JYM_2024-03-27_final.stac-item
2024-04-02 11:43:42	ga_s2bm_ard_3-2-1_51KUR_2024-04-02_final.stac-item
2024-04-06 11:25:08	ga_s2bm_ard_3-2-1_51JXK_2024-04-06_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