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
2017-11-02 11:35:51	ga_s2bm_ard_3-2-1_50HQK_2017-11-02_final
2017-11-08 11:53:07	ga_s2bm_ard_3-2-1_50JMS_2017-11-08_final
2017-11-15 11:40:36	ga_s2bm_ard_3-2-1_50JPS_2017-11-15_final
2017-12-08 11:49:07	ga_s2bm_ard_3-2-1_50JPR_2017-12-08_final
2018-02-13 11:43:42	ga_s2bm_ard_3-2-1_50JMM_2018-02-13_final
2018-03-14 12:13:13	ga_s2bm_ard_3-2-1_49KHS_2018-03-14_final.stac-item
2018-04-10 12:02:47	ga_s2bm_ard_3-2-1_50JKS_2018-04-10_final
2018-05-07 11:53:53	ga_s2bm_ard_3-2-1_50HMH_2018-05-07_final
2018-06-29 12:02:48	ga_s2bm_ard_3-2-1_50JKS_2018-06-29_final
2018-07-02 12:13:20	ga_s2bm_ard_3-2-1_49KHQ_2018-07-02_final
2018-07-16 11:52:50	ga_s2bm_ard_3-2-1_50JNR_2018-07-16_final
2018-07-19 12:03:30	ga_s2bm_ard_3-2-1_50JLT_2018-07-19_final
2018-07-29 12:02:46	ga_s2bm_ard_3-2-1_49KHQ_2018-07-29_final
2018-08-02 11:38:21	ga_s2bm_ard_3-2-1_50JPT_2018-08-02_final
2018-08-02 11:44:54	ga_s2bm_ard_3-2-1_50JPM_2018-08-02_final
2018-08-12 11:41:45	ga_s2bm_ard_3-2-1_50HMK_2018-08-12_final
2018-10-01 11:44:52	ga_s2bm_ard_3-2-1_50JNQ_2018-10-01_final
2018-10-14 11:52:46	ga_s2bm_ard_3-2-1_50JPS_2018-10-14_final
2018-10-27 12:02:47	ga_s2bm_ard_3-2-1_50JKQ_2018-10-27_final
2018-11-26 12:06:00	ga_s2bm_ard_3-2-1_50JLM_2018-11-26_final
2019-01-15 12:05:26	ga_s2bm_ard_3-2-1_50JKQ_2019-01-15_final
2019-02-08 11:47:10	ga_s2bm_ard_3-2-1_50HMH_2019-02-08_final
2019-02-18 11:46:55	ga_s2bm_ard_3-2-1_50HMJ_2019-02-18_final
2019-02-21 11:56:50	ga_s2bm_ard_3-2-1_50HMJ_2019-02-21_final
2019-03-30 11:47:19	ga_s2bm_ard_3-2-1_50HPG_2019-03-30_final.stac-item
2019-05-15 12:04:27	ga_s2bm_ard_3-2-1_49KGQ_2019-05-15_final
2019-06-28 11:46:13	ga_s2bm_ard_3-2-1_50JPM_2019-06-28_final
2019-07-08 11:45:01	ga_s2bm_ard_3-2-1_50JPS_2019-07-08_final
2019-08-13 12:05:04	ga_s2bm_ard_3-2-1_50JKS_2019-08-13_final
2019-09-16 11:46:40	ga_s2bm_ard_3-2-1_50HMK_2019-09-16_final
2019-11-08 11:55:09	ga_s2bm_ard_3-2-1_50JMR_2019-11-08_final
2019-11-08 11:56:37	ga_s2bm_ard_3-2-1_50HLK_2019-11-08_final
2019-12-21 12:05:21	ga_s2bm_ard_3-2-1_50JKQ_2019-12-21_final
2020-01-01 11:36:40	ga_s2bm_ard_3-2-1_50HPJ_2020-01-01_final
2020-02-13 11:46:51	ga_s2bm_ard_3-2-1_50HMJ_2020-02-13_final
2020-02-16 11:55:45	ga_s2bm_ard_3-2-1_50JNN_2020-02-16_final
2020-02-26 11:54:55	ga_s2bm_ard_3-2-1_50JLS_2020-02-26_final
2020-03-17 11:55:14	ga_s2bm_ard_3-2-1_50JPQ_2020-03-17_final
2020-03-20 12:04:37	ga_s2bm_ard_3-2-1_50JLT_2020-03-20_final
2020-03-27 11:54:42	ga_s2bm_ard_3-2-1_50JLT_2020-03-27_final
2020-03-30 12:05:20	ga_s2bm_ard_3-2-1_50JLQ_2020-03-30_final
2020-04-13 11:46:09	ga_s2bm_ard_3-2-1_50JMM_2020-04-13_final
2020-05-10 11:37:25	ga_s2bm_ard_3-2-1_50HNG_2020-05-10_final.stac-item
2020-05-19 12:03:44	ga_s2bm_ard_3-2-1_49KHS_2020-05-19_final.stac-item
2020-06-09 11:36:36	ga_s2bm_ard_3-2-1_50HQK_2020-06-09_final
2020-06-21 12:14:11	ga_s2bm_ard_3-2-1_49KHQ_2020-06-21_final
2020-06-25 11:54:48	ga_s2bm_ard_3-2-1_50JPS_2020-06-25_final
2020-07-05 11:54:39	ga_s2bm_ard_3-2-1_50JNT_2020-07-05_final
2020-07-29 11:36:29	ga_s2bm_ard_3-2-1_50JPL_2020-07-29_final
2020-08-17 12:05:12	ga_s2bm_ard_3-2-1_50JLR_2020-08-17_final
2020-09-03 11:55:42	ga_s2bm_ard_3-2-1_50JMP_2020-09-03_final
2020-09-20 11:45:38	ga_s2bm_ard_3-2-1_50JPP_2020-09-20_final
2020-11-12 11:56:05	ga_s2bm_ard_3-2-1_50JNM_2020-11-12_final
2020-12-02 11:56:36	ga_s2bm_ard_3-2-1_50HMK_2020-12-02_final
2020-12-12 11:55:03	ga_s2bm_ard_3-2-1_50JNR_2020-12-12_final
2021-01-11 11:54:54	ga_s2bm_ard_3-2-1_50JMS_2021-01-11_final
2021-01-18 11:46:05	ga_s2bm_ard_3-2-1_50JPM_2021-01-18_final
2021-01-27 12:14:08	ga_s2bm_ard_3-2-1_49KHQ_2021-01-27_final
2021-02-23 12:05:21	ga_s2bm_ard_3-2-1_50JLQ_2021-02-23_final
2021-03-12 11:55:12	ga_s2bm_ard_3-2-1_50JLR_2021-03-12_final
2021-03-15 12:04:56	ga_s2bm_ard_3-2-1_49JHM_2021-03-15_final
2021-03-29 11:45:05	ga_s2bm_ard_3-2-1_50JPR_2021-03-29_final
2021-04-01 11:54:43	ga_s2bm_ard_3-2-1_50JLT_2021-04-01_final
2021-05-08 11:45:22	ga_s2bm_ard_3-2-1_50JNQ_2021-05-08_final
2021-05-14 12:04:46	ga_s2bm_ard_3-2-1_49JHM_2021-05-14_final
2021-05-21 11:57:06	ga_s2bm_ard_3-2-1_50HMH_2021-05-21_final
2021-06-07 11:47:11	ga_s2bm_ard_3-2-1_50HMH_2021-06-07_final
2021-08-29 11:55:07	ga_s2bm_ard_3-2-1_50JMR_2021-08-29_final
2021-09-08 11:56:33	ga_s2bm_ard_3-2-1_50HMK_2021-09-08_final
2021-09-11 12:04:53	ga_s2bm_ard_3-2-1_49JHM_2021-09-11_final
2021-09-28 11:54:57	ga_s2bm_ard_3-2-1_50JLS_2021-09-28_final
2021-10-15 11:46:42	ga_s2bm_ard_3-2-1_50HMK_2021-10-15_final
2021-12-10 12:05:21	ga_s2bm_ard_3-2-1_50JKQ_2021-12-10_final
2022-01-13 11:45:03	ga_s2bm_ard_3-2-1_50JPR_2022-01-13_final
2022-02-02 11:47:08	ga_s2bm_ard_3-2-1_50HLH_2022-02-02_final
2022-02-09 11:36:28	ga_s2bm_ard_3-2-1_50HQK_2022-02-09_final
2022-02-18 12:04:29	ga_s2bm_ard_3-2-1_50JMT_2022-02-18_final
2022-03-24 11:46:53	ga_s2bm_ard_3-2-1_50HMJ_2022-03-24_final
2022-05-09 12:04:54	ga_s2bm_ard_3-2-1_50JKS_2022-05-09_final
2022-05-16 11:55:48	ga_s2bm_ard_3-2-1_50JNN_2022-05-16_final
2022-08-18 11:37:23	ga_s2bm_ard_3-2-1_50HPG_2022-08-18_final.stac-item
2022-12-22 11:56:36	ga_s2bm_ard_3-2-1_50HMK_2022-12-22_final.stac-item
2023-05-11 11:55:52	ga_s2bm_ard_3-2-1_50JNN_2023-05-11_final.stac-item
2023-05-14 12:04:17	ga_s2bm_ard_3-2-1_49KHQ_2023-05-14_final.stac-item
2023-06-13 12:04:18	ga_s2bm_ard_3-2-1_49KHQ_2023-06-13_final.stac-item
2023-06-27 11:45:11	ga_s2bm_ard_3-2-1_50JPR_2023-06-27_final.stac-item
2023-07-24 11:37:23	ga_s2bm_ard_3-2-1_50HQG_2023-07-24_final.stac-item
2023-08-23 11:37:31	ga_s2bm_ard_3-2-1_50HNG_2023-08-23_final.stac-item
2023-09-01 12:03:49	ga_s2bm_ard_3-2-1_49KHS_2023-09-01_final.stac-item
2023-09-11 12:04:17	ga_s2bm_ard_3-2-1_49KHQ_2023-09-11_final.stac-item
2023-11-04 11:45:39	ga_s2bm_ard_3-2-1_50JPP_2023-11-04_final.stac-item
2023-11-27 11:54:51	ga_s2bm_ard_3-2-1_50JMS_2023-11-27_final.stac-item
2024-01-19 12:04:38	ga_s2bm_ard_3-2-1_50JLT_2024-01-19_final.stac-item
2024-02-01 12:14:18	ga_s2bm_ard_3-2-1_49KHP_2024-02-01_final.stac-item
2024-02-29 11:37:18	ga_s2bm_ard_3-2-1_50HPG_2024-02-29_final.stac-item
2024-04-02 11:46:57	ga_s2bm_ard_3-2-1_50HMJ_2024-04-02_final.stac-item
2024-04-02 11:47:13	ga_s2bm_ard_3-2-1_50HLH_2024-04-02_final.stac-item
2024-04-15 11:56:52	ga_s2bm_ard_3-2-1_50HMJ_2024-04-15_final.stac-item
2024-04-18 12:04:26	ga_s2bm_ard_3-2-1_49KHP_2024-04-18_final.stac-item
2024-05-02 11:45:54	ga_s2bm_ard_3-2-1_50JNN_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