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
2017-07-11 11:56:34	ga_s2bm_ard_3-2-1_50HMJ_2017-07-11_final
2017-08-07 11:45:07	ga_s2bm_ard_3-2-1_50JNM_2017-08-07_final
2017-08-27 11:40:44	ga_s2bm_ard_3-2-1_50JPR_2017-08-27_final
2017-09-16 11:40:38	ga_s2bm_ard_3-2-1_50HMJ_2017-09-16_final
2017-09-16 11:40:38	ga_s2bm_ard_3-2-1_50HQH_2017-09-16_final
2017-11-01 12:02:36	ga_s2bm_ard_3-2-1_49JHM_2017-11-01_final
2017-11-15 11:40:36	ga_s2bm_ard_3-2-1_50JML_2017-11-15_final
2017-11-25 11:37:37	ga_s2bm_ard_3-2-1_50JMM_2017-11-25_final
2017-12-15 11:37:37	ga_s2bm_ard_3-2-1_50HPG_2017-12-15_final.stac-item
2018-01-20 12:02:42	ga_s2bm_ard_3-2-1_49JHM_2018-01-20_final
2018-02-19 12:02:42	ga_s2bm_ard_3-2-1_49JGN_2018-02-19_final
2018-02-19 12:02:42	ga_s2bm_ard_3-2-1_50JKQ_2018-02-19_final
2018-03-02 11:33:20	ga_s2bm_ard_3-2-1_50HPG_2018-03-02_final.stac-item
2018-03-05 11:42:06	ga_s2bm_ard_3-2-1_50JPP_2018-03-05_final
2018-03-05 11:42:06	ga_s2bm_ard_3-2-1_50JPR_2018-03-05_final
2018-03-31 12:02:45	ga_s2bm_ard_3-2-1_50JLR_2018-03-31_final
2018-04-21 11:33:07	ga_s2bm_ard_3-2-1_50HNG_2018-04-21_final.stac-item
2018-04-27 11:54:58	ga_s2bm_ard_3-2-1_50JMR_2018-04-27_final
2018-07-20 11:35:23	ga_s2bm_ard_3-2-1_50HQK_2018-07-20_final
2018-08-22 11:44:50	ga_s2bm_ard_3-2-1_50JNP_2018-08-22_final
2018-09-27 12:02:43	ga_s2bm_ard_3-2-1_49JGN_2018-09-27_final
2018-10-07 12:04:33	ga_s2bm_ard_3-2-1_50JKR_2018-10-07_final
2018-10-08 11:37:13	ga_s2bm_ard_3-2-1_50HPG_2018-10-08_final.stac-item
2018-11-03 11:54:10	ga_s2bm_ard_3-2-1_50JNP_2018-11-03_final
2018-11-20 11:46:38	ga_s2bm_ard_3-2-1_50HMK_2018-11-20_final
2018-12-06 12:04:41	ga_s2bm_ard_3-2-1_49JGN_2018-12-06_final
2019-01-19 11:46:30	ga_s2bm_ard_3-2-1_50HQK_2019-01-19_final
2019-01-22 11:55:06	ga_s2bm_ard_3-2-1_50JNR_2019-01-22_final
2019-02-18 11:46:12	ga_s2bm_ard_3-2-1_50JMM_2019-02-18_final
2019-02-18 11:47:14	ga_s2bm_ard_3-2-1_50HLH_2019-02-18_final
2019-03-16 12:04:55	ga_s2bm_ard_3-2-1_50JKS_2019-03-16_final
2019-03-23 11:55:02	ga_s2bm_ard_3-2-1_50JPR_2019-03-23_final
2019-05-19 11:46:48	ga_s2bm_ard_3-2-1_50HMK_2019-05-19_final
2019-05-29 11:47:04	ga_s2bm_ard_3-2-1_50HMJ_2019-05-29_final
2019-07-31 11:57:31	ga_s2bm_ard_3-2-1_50HLG_2019-07-31_final.stac-item
2019-09-22 12:04:13	ga_s2bm_ard_3-2-1_49KHQ_2019-09-22_final
2019-09-29 11:57:06	ga_s2bm_ard_3-2-1_50HMH_2019-09-29_final
2019-10-19 11:56:52	ga_s2bm_ard_3-2-1_50HMJ_2019-10-19_final
2019-11-12 11:36:26	ga_s2bm_ard_3-2-1_50JPL_2019-11-12_final
2019-11-18 11:56:34	ga_s2bm_ard_3-2-1_50HMK_2019-11-18_final
2020-01-04 11:46:47	ga_s2bm_ard_3-2-1_50HNJ_2020-01-04_final
2020-02-03 11:46:06	ga_s2bm_ard_3-2-1_50JMM_2020-02-03_final
2020-02-20 11:36:30	ga_s2bm_ard_3-2-1_50HQK_2020-02-20_final
2020-03-24 11:46:45	ga_s2bm_ard_3-2-1_50HNJ_2020-03-24_final
2020-04-13 11:46:04	ga_s2bm_ard_3-2-1_50JNM_2020-04-13_final
2020-05-06 11:55:07	ga_s2bm_ard_3-2-1_50JMR_2020-05-06_final
2020-06-28 12:04:38	ga_s2bm_ard_3-2-1_50JMT_2020-06-28_final
2020-08-24 11:56:44	ga_s2bm_ard_3-2-1_50HLK_2020-08-24_final
2020-09-06 12:04:16	ga_s2bm_ard_3-2-1_49KHQ_2020-09-06_final
2020-09-06 12:04:51	ga_s2bm_ard_3-2-1_49JHM_2020-09-06_final
2020-09-23 11:57:10	ga_s2bm_ard_3-2-1_50HMH_2020-09-23_final
2020-10-16 12:04:53	ga_s2bm_ard_3-2-1_49JGN_2020-10-16_final
2020-12-18 12:14:04	ga_s2bm_ard_3-2-1_49KHQ_2020-12-18_final
2021-03-05 12:05:11	ga_s2bm_ard_3-2-1_50JKR_2021-03-05_final
2021-03-25 12:03:47	ga_s2bm_ard_3-2-1_49KHS_2021-03-25_final.stac-item
2021-04-28 11:46:49	ga_s2bm_ard_3-2-1_50HQH_2021-04-28_final
2021-04-28 11:47:10	ga_s2bm_ard_3-2-1_50HLH_2021-04-28_final
2021-05-08 11:45:52	ga_s2bm_ard_3-2-1_50JNN_2021-05-08_final
2021-06-07 11:46:42	ga_s2bm_ard_3-2-1_50HMK_2021-06-07_final
2021-06-13 12:04:58	ga_s2bm_ard_3-2-1_50JKS_2021-06-13_final
2021-06-20 11:54:52	ga_s2bm_ard_3-2-1_50JNS_2021-06-20_final
2021-07-10 11:54:39	ga_s2bm_ard_3-2-1_50JNT_2021-07-10_final
2021-09-28 11:55:14	ga_s2bm_ard_3-2-1_50JPQ_2021-09-28_final
2021-11-10 12:05:26	ga_s2bm_ard_3-2-1_50JKQ_2021-11-10_final
2021-12-01 11:37:13	ga_s2bm_ard_3-2-1_50HQG_2021-12-01_final.stac-item
2021-12-20 12:04:37	ga_s2bm_ard_3-2-1_49JHN_2021-12-20_final
2021-12-30 12:04:14	ga_s2bm_ard_3-2-1_49KGQ_2021-12-30_final
2022-01-06 11:54:51	ga_s2bm_ard_3-2-1_50JMS_2022-01-06_final
2022-03-24 11:46:51	ga_s2bm_ard_3-2-1_50HQH_2022-03-24_final
2022-04-06 11:56:48	ga_s2bm_ard_3-2-1_50HMJ_2022-04-06_final
2022-04-16 11:54:40	ga_s2bm_ard_3-2-1_50JLT_2022-04-16_final
2022-04-16 11:55:23	ga_s2bm_ard_3-2-1_50JLQ_2022-04-16_final
2022-05-06 11:57:19	ga_s2bm_ard_3-2-1_50HLG_2022-05-06_final.stac-item
2022-06-25 11:56:41	ga_s2bm_ard_3-2-1_50HMK_2022-06-25_final
2022-07-22 11:45:12	ga_s2bm_ard_3-2-1_50JPR_2022-07-22_final
2022-08-31 11:46:42	ga_s2bm_ard_3-2-1_50HMK_2022-08-31_final
2022-09-06 12:04:15	ga_s2bm_ard_3-2-1_49KHQ_2022-09-06_final.stac-item
2022-09-26 12:05:27	ga_s2bm_ard_3-2-1_50JKQ_2022-09-26_final.stac-item
2022-10-03 11:55:57	ga_s2bm_ard_3-2-1_50JNM_2022-10-03_final.stac-item
2022-12-08 12:14:17	ga_s2bm_ard_3-2-1_49KHP_2022-12-08_final.stac-item
2023-02-03 12:04:57	ga_s2bm_ard_3-2-1_49JHM_2023-02-03_final.stac-item
2023-02-27 11:45:07	ga_s2bm_ard_3-2-1_50JPR_2023-02-27_final.stac-item
2023-03-29 11:46:59	ga_s2bm_ard_3-2-1_50HMJ_2023-03-29_final.stac-item
2023-03-29 11:47:13	ga_s2bm_ard_3-2-1_50HMH_2023-03-29_final.stac-item
2023-03-29 11:47:17	ga_s2bm_ard_3-2-1_50HLH_2023-03-29_final.stac-item
2023-04-14 12:04:14	ga_s2bm_ard_3-2-1_49KHQ_2023-04-14_final.stac-item
2023-05-04 12:05:00	ga_s2bm_ard_3-2-1_50JKS_2023-05-04_final.stac-item
2023-05-08 11:46:43	ga_s2bm_ard_3-2-1_50HMK_2023-05-08_final.stac-item
2023-05-24 12:04:58	ga_s2bm_ard_3-2-1_50JLS_2023-05-24_final.stac-item
2023-07-13 12:04:23	ga_s2bm_ard_3-2-1_49KGQ_2023-07-13_final.stac-item
2023-08-06 11:45:44	ga_s2bm_ard_3-2-1_50JNP_2023-08-06_final.stac-item
2023-09-18 11:56:08	ga_s2bm_ard_3-2-1_50JNM_2023-09-18_final.stac-item
2023-10-15 11:46:43	ga_s2bm_ard_3-2-1_50HMK_2023-10-15_final.stac-item
2023-11-24 11:45:16	ga_s2bm_ard_3-2-1_50JPQ_2023-11-24_final.stac-item
2023-11-27 11:54:44	ga_s2bm_ard_3-2-1_50JPS_2023-11-27_final.stac-item
2023-12-01 11:36:31	ga_s2bm_ard_3-2-1_50HQK_2023-12-01_final.stac-item
2023-12-24 11:46:42	ga_s2bm_ard_3-2-1_50HMK_2023-12-24_final.stac-item
2024-01-06 11:56:36	ga_s2bm_ard_3-2-1_50HMK_2024-01-06_final.stac-item
2024-03-09 12:05:07	ga_s2bm_ard_3-2-1_50JKR_2024-03-09_final.stac-item
2024-03-19 12:05:26	ga_s2bm_ard_3-2-1_50JKQ_2024-03-19_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