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
2017-07-24 12:02:49	ga_s2bm_ard_3-2-1_49KGQ_2017-07-24_final
2017-07-24 12:02:49	ga_s2bm_ard_3-2-1_50JLT_2017-07-24_final
2017-08-03 12:04:41	ga_s2bm_ard_3-2-1_49JHN_2017-08-03_final
2017-09-19 11:55:56	ga_s2bm_ard_3-2-1_50JNM_2017-09-19_final
2017-09-29 11:51:40	ga_s2bm_ard_3-2-1_50HMG_2017-09-29_final.stac-item
2017-11-08 11:53:07	ga_s2bm_ard_3-2-1_50JMT_2017-11-08_final
2017-12-21 12:02:37	ga_s2bm_ard_3-2-1_49JHM_2017-12-21_final
2018-01-17 11:49:12	ga_s2bm_ard_3-2-1_50JLT_2018-01-17_final
2018-02-06 11:49:12	ga_s2bm_ard_3-2-1_50HMK_2018-02-06_final
2018-02-06 11:49:12	ga_s2bm_ard_3-2-1_50JLQ_2018-02-06_final
2018-02-23 11:44:25	ga_s2bm_ard_3-2-1_50JNN_2018-02-23_final
2018-03-11 12:02:40	ga_s2bm_ard_3-2-1_50JMT_2018-03-11_final
2018-03-24 12:13:16	ga_s2bm_ard_3-2-1_49KHP_2018-03-24_final
2018-05-10 12:02:48	ga_s2bm_ard_3-2-1_49KHQ_2018-05-10_final
2018-06-22 12:14:14	ga_s2bm_ard_3-2-1_49KHP_2018-06-22_final
2018-07-26 11:52:57	ga_s2bm_ard_3-2-1_50JMQ_2018-07-26_final
2018-08-18 12:03:23	ga_s2bm_ard_3-2-1_49KGQ_2018-08-18_final
2018-09-10 12:13:12	ga_s2bm_ard_3-2-1_49KHQ_2018-09-10_final
2018-09-11 11:41:45	ga_s2bm_ard_3-2-1_50HNG_2018-09-11_final.stac-item
2018-09-21 11:40:23	ga_s2bm_ard_3-2-1_50JNN_2018-09-21_final
2018-09-27 12:04:56	ga_s2bm_ard_3-2-1_50JLM_2018-09-27_final
2018-10-17 12:03:15	ga_s2bm_ard_3-2-1_50JKS_2018-10-17_final
2018-12-06 12:05:06	ga_s2bm_ard_3-2-1_50JKR_2018-12-06_final
2018-12-23 11:54:50	ga_s2bm_ard_3-2-1_50JMS_2018-12-23_final
2019-04-09 11:46:59	ga_s2bm_ard_3-2-1_50HMJ_2019-04-09_final
2019-05-02 11:56:44	ga_s2bm_ard_3-2-1_50HMK_2019-05-02_final
2019-05-09 11:47:22	ga_s2bm_ard_3-2-1_50HLH_2019-05-09_final
2019-05-12 11:57:14	ga_s2bm_ard_3-2-1_50HMH_2019-05-12_final
2019-07-28 11:46:02	ga_s2bm_ard_3-2-1_50JNN_2019-07-28_final
2019-09-09 11:56:52	ga_s2bm_ard_3-2-1_50HMJ_2019-09-09_final
2019-09-15 12:14:04	ga_s2bm_ard_3-2-1_49KHQ_2019-09-15_final
2019-10-09 11:55:21	ga_s2bm_ard_3-2-1_50JNQ_2019-10-09_final
2019-11-05 11:45:54	ga_s2bm_ard_3-2-1_50JNN_2019-11-05_final
2019-11-18 11:55:25	ga_s2bm_ard_3-2-1_50JLQ_2019-11-18_final
2020-01-10 12:05:17	ga_s2bm_ard_3-2-1_50JLQ_2020-01-10_final
2020-01-24 11:45:47	ga_s2bm_ard_3-2-1_50JNN_2020-01-24_final
2020-03-24 11:45:52	ga_s2bm_ard_3-2-1_50JNN_2020-03-24_final
2020-04-09 12:04:53	ga_s2bm_ard_3-2-1_49JHM_2020-04-09_final
2020-04-13 11:45:50	ga_s2bm_ard_3-2-1_50JNN_2020-04-13_final
2020-04-26 11:55:30	ga_s2bm_ard_3-2-1_50JNP_2020-04-26_final
2020-05-09 12:05:10	ga_s2bm_ard_3-2-1_50JKR_2020-05-09_final
2020-05-13 11:45:53	ga_s2bm_ard_3-2-1_50JNN_2020-05-13_final
2020-05-26 11:54:56	ga_s2bm_ard_3-2-1_50JMS_2020-05-26_final
2020-07-11 12:14:06	ga_s2bm_ard_3-2-1_49KHQ_2020-07-11_final
2020-10-16 12:03:48	ga_s2bm_ard_3-2-1_49KHS_2020-10-16_final.stac-item
2020-10-17 11:36:38	ga_s2bm_ard_3-2-1_50HQK_2020-10-17_final
2021-01-11 11:54:57	ga_s2bm_ard_3-2-1_50JLS_2021-01-11_final
2021-01-31 11:55:20	ga_s2bm_ard_3-2-1_50JNQ_2021-01-31_final
2021-01-31 11:55:49	ga_s2bm_ard_3-2-1_50JNN_2021-01-31_final
2021-02-20 11:56:34	ga_s2bm_ard_3-2-1_50HMK_2021-02-20_final
2021-02-23 12:04:55	ga_s2bm_ard_3-2-1_50JKS_2021-02-23_final
2021-03-12 11:55:20	ga_s2bm_ard_3-2-1_50JNQ_2021-03-12_final
2021-04-04 12:05:24	ga_s2bm_ard_3-2-1_50JKQ_2021-04-04_final
2021-04-18 11:45:49	ga_s2bm_ard_3-2-1_50JNN_2021-04-18_final
2021-05-01 11:55:45	ga_s2bm_ard_3-2-1_50JNN_2021-05-01_final
2021-06-27 11:46:54	ga_s2bm_ard_3-2-1_50HQH_2021-06-27_final
2021-06-30 11:55:40	ga_s2bm_ard_3-2-1_50JMP_2021-06-30_final
2021-07-03 12:05:13	ga_s2bm_ard_3-2-1_50JKR_2021-07-03_final
2021-09-15 11:45:57	ga_s2bm_ard_3-2-1_50JNN_2021-09-15_final
2021-09-18 11:55:46	ga_s2bm_ard_3-2-1_50JNN_2021-09-18_final
2021-11-14 11:45:53	ga_s2bm_ard_3-2-1_50JNN_2021-11-14_final
2021-11-20 12:04:54	ga_s2bm_ard_3-2-1_50JKS_2021-11-20_final
2021-12-13 12:14:03	ga_s2bm_ard_3-2-1_49KHQ_2021-12-13_final
2021-12-24 11:45:20	ga_s2bm_ard_3-2-1_50JNQ_2021-12-24_final
2022-01-03 11:45:50	ga_s2bm_ard_3-2-1_50JNN_2022-01-03_final
2022-01-26 11:55:21	ga_s2bm_ard_3-2-1_50JLQ_2022-01-26_final
2022-02-25 11:56:41	ga_s2bm_ard_3-2-1_50HMK_2022-02-25_final
2022-03-14 11:47:12	ga_s2bm_ard_3-2-1_50HLH_2022-03-14_final
2022-03-17 11:57:18	ga_s2bm_ard_3-2-1_50HMG_2022-03-17_final.stac-item
2022-04-06 11:56:27	ga_s2bm_ard_3-2-1_50HNK_2022-04-06_final
2022-04-23 11:46:50	ga_s2bm_ard_3-2-1_50HMJ_2022-04-23_final
2022-05-09 12:04:54	ga_s2bm_ard_3-2-1_49JHM_2022-05-09_final
2022-05-20 11:37:26	ga_s2bm_ard_3-2-1_50HNG_2022-05-20_final.stac-item
2022-06-05 11:55:50	ga_s2bm_ard_3-2-1_50JNN_2022-06-05_final
2022-08-11 11:45:58	ga_s2bm_ard_3-2-1_50JNN_2022-08-11_final
2022-09-27 11:37:17	ga_s2bm_ard_3-2-1_50HQG_2022-09-27_final.stac-item
2022-12-05 12:03:42	ga_s2bm_ard_3-2-1_49KHS_2022-12-05_final.stac-item
2023-01-01 11:55:48	ga_s2bm_ard_3-2-1_50JNN_2023-01-01_final.stac-item
2023-01-31 11:54:42	ga_s2bm_ard_3-2-1_50JLT_2023-01-31_final.stac-item
2023-02-10 11:54:43	ga_s2bm_ard_3-2-1_50JLT_2023-02-10_final.stac-item
2023-03-19 11:45:28	ga_s2bm_ard_3-2-1_50JNQ_2023-03-19_final.stac-item
2023-04-04 12:05:11	ga_s2bm_ard_3-2-1_50JLR_2023-04-04_final.stac-item
2023-04-04 12:05:26	ga_s2bm_ard_3-2-1_50JLQ_2023-04-04_final.stac-item
2023-05-14 12:05:00	ga_s2bm_ard_3-2-1_50JKS_2023-05-14_final.stac-item
2023-06-13 12:05:17	ga_s2bm_ard_3-2-1_50JKR_2023-06-13_final.stac-item
2023-07-16 12:13:45	ga_s2bm_ard_3-2-1_49KHS_2023-07-16_final.stac-item
2023-07-23 12:05:32	ga_s2bm_ard_3-2-1_50JKQ_2023-07-23_final.stac-item
2023-08-02 12:04:59	ga_s2bm_ard_3-2-1_50JLS_2023-08-02_final.stac-item
2023-09-08 11:54:45	ga_s2bm_ard_3-2-1_50JMT_2023-09-08_final.stac-item
2023-09-14 12:14:12	ga_s2bm_ard_3-2-1_49KHQ_2023-09-14_final.stac-item
2023-09-21 12:05:00	ga_s2bm_ard_3-2-1_49JHM_2023-09-21_final.stac-item
2023-10-04 12:14:09	ga_s2bm_ard_3-2-1_49KHQ_2023-10-04_final.stac-item
2023-11-30 12:04:54	ga_s2bm_ard_3-2-1_50JKS_2023-11-30_final.stac-item
2023-12-07 11:55:24	ga_s2bm_ard_3-2-1_50JLQ_2023-12-07_final.stac-item
2023-12-13 12:14:06	ga_s2bm_ard_3-2-1_49KHQ_2023-12-13_final.stac-item
2024-02-05 11:55:42	ga_s2bm_ard_3-2-1_50JMP_2024-02-05_final.stac-item
2024-03-09 12:04:52	ga_s2bm_ard_3-2-1_49JHM_2024-03-09_final.stac-item
2024-03-23 11:47:21	ga_s2bm_ard_3-2-1_50HNG_2024-03-23_final.stac-item
2024-03-29 12:04:57	ga_s2bm_ard_3-2-1_49JHM_2024-03-29_final.stac-item
2024-04-01 12:14:08	ga_s2bm_ard_3-2-1_49KHQ_2024-04-01_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