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 11:49:46	ga_s2bm_ard_3-2-1_50JLP_2017-07-11_final
2017-07-11 11:49:46	ga_s2bm_ard_3-2-1_50JMM_2017-07-11_final
2017-08-20 11:49:42	ga_s2bm_ard_3-2-1_50JLN_2017-08-20_final
2017-08-20 11:49:42	ga_s2bm_ard_3-2-1_50KNC_2017-08-20_final
2017-10-06 11:40:29	ga_s2bm_ard_3-2-1_50HMH_2017-10-06_final
2017-11-15 11:46:01	ga_s2bm_ard_3-2-1_50HMK_2017-11-15_final
2017-12-11 12:02:37	ga_s2bm_ard_3-2-1_50KKU_2017-12-11_final
2017-12-21 12:02:37	ga_s2bm_ard_3-2-1_50KLB_2017-12-21_final
2017-12-31 12:02:39	ga_s2bm_ard_3-2-1_49KHQ_2017-12-31_final
2018-01-27 11:56:04	ga_s2bm_ard_3-2-1_50HLH_2018-01-27_final
2018-01-31 11:27:22	ga_s2bm_ard_3-2-1_50HPH_2018-01-31_final
2018-02-10 11:35:47	ga_s2bm_ard_3-2-1_50HPJ_2018-02-10_final
2018-02-22 12:13:13	ga_s2bm_ard_3-2-1_49KGR_2018-02-22_final
2018-03-05 11:42:06	ga_s2bm_ard_3-2-1_50JQS_2018-03-05_final
2018-03-08 11:51:37	ga_s2bm_ard_3-2-1_50KMC_2018-03-08_final
2018-03-12 11:35:28	ga_s2bm_ard_3-2-1_50JQL_2018-03-12_final
2018-05-24 11:45:49	ga_s2bm_ard_3-2-1_50HQH_2018-05-24_final
2018-06-30 11:33:25	ga_s2bm_ard_3-2-1_50HQK_2018-06-30_final
2018-08-12 11:41:45	ga_s2bm_ard_3-2-1_50JQR_2018-08-12_final
2018-09-14 11:52:51	ga_s2bm_ard_3-2-1_50HLK_2018-09-14_final
2018-11-10 11:47:12	ga_s2bm_ard_3-2-1_50HLH_2018-11-10_final
2018-11-29 12:14:37	ga_s2bm_ard_3-2-1_49JGN_2018-11-29_final
2018-12-06 12:03:17	ga_s2bm_ard_3-2-1_50KMC_2018-12-06_final
2019-01-05 12:03:21	ga_s2bm_ard_3-2-1_50KMC_2019-01-05_final
2019-01-15 12:05:40	ga_s2bm_ard_3-2-1_50JKP_2019-01-15_final
2019-01-22 11:55:56	ga_s2bm_ard_3-2-1_50JLN_2019-01-22_final
2019-03-13 11:52:25	ga_s2bm_ard_3-2-1_50KQF_2019-03-13_final.stac-item
2019-03-20 11:45:46	ga_s2bm_ard_3-2-1_50JQN_2019-03-20_final
2019-04-25 12:04:06	ga_s2bm_ard_3-2-1_50KKA_2019-04-25_final
2019-05-29 11:46:46	ga_s2bm_ard_3-2-1_50HNK_2019-05-29_final
2019-06-08 11:47:28	ga_s2bm_ard_3-2-1_50HNG_2019-06-08_final.stac-item
2019-06-11 11:53:32	ga_s2bm_ard_3-2-1_50KNC_2019-06-11_final
2019-06-11 11:54:48	ga_s2bm_ard_3-2-1_50JMT_2019-06-11_final
2019-07-21 11:56:16	ga_s2bm_ard_3-2-1_50JMM_2019-07-21_final
2019-08-23 12:05:20	ga_s2bm_ard_3-2-1_49JGL_2019-08-23_final
2019-10-16 11:43:23	ga_s2bm_ard_3-2-1_50KQC_2019-10-16_final
2019-11-18 11:52:18	ga_s2bm_ard_3-2-1_50KQG_2019-11-18_final.stac-item
2019-12-08 11:52:28	ga_s2bm_ard_3-2-1_50KQF_2019-12-08_final.stac-item
2019-12-18 11:56:13	ga_s2bm_ard_3-2-1_50JNL_2019-12-18_final
2019-12-21 12:03:32	ga_s2bm_ard_3-2-1_50KMB_2019-12-21_final
2020-01-17 11:53:40	ga_s2bm_ard_3-2-1_50KQA_2020-01-17_final
2020-02-06 11:56:15	ga_s2bm_ard_3-2-1_50JLL_2020-02-06_final
2020-02-06 11:56:45	ga_s2bm_ard_3-2-1_50HMJ_2020-02-06_final
2020-02-12 12:13:53	ga_s2bm_ard_3-2-1_49KGR_2020-02-12_final
2020-02-12 12:14:22	ga_s2bm_ard_3-2-1_49KGP_2020-02-12_final
2020-02-29 12:04:10	ga_s2bm_ard_3-2-1_50KKV_2020-02-29_final
2020-05-09 12:03:31	ga_s2bm_ard_3-2-1_50KNB_2020-05-09_final
2020-06-02 11:46:10	ga_s2bm_ard_3-2-1_50JNM_2020-06-02_final
2020-06-18 12:05:11	ga_s2bm_ard_3-2-1_50JLR_2020-06-18_final
2020-07-05 11:56:24	ga_s2bm_ard_3-2-1_50JML_2020-07-05_final
2020-08-01 11:46:46	ga_s2bm_ard_3-2-1_50HQJ_2020-08-01_final
2020-08-04 11:54:55	ga_s2bm_ard_3-2-1_50JNS_2020-08-04_final
2020-08-14 11:56:21	ga_s2bm_ard_3-2-1_50JNL_2020-08-14_final
2020-10-10 11:46:23	ga_s2bm_ard_3-2-1_50JPL_2020-10-10_final
2020-10-13 11:54:03	ga_s2bm_ard_3-2-1_50KPA_2020-10-13_final
2020-10-16 12:05:04	ga_s2bm_ard_3-2-1_49JGM_2020-10-16_final
2020-11-29 11:46:40	ga_s2bm_ard_3-2-1_50HMK_2020-11-29_final
2021-01-01 11:54:32	ga_s2bm_ard_3-2-1_50JPT_2021-01-01_final
2021-01-27 12:14:27	ga_s2bm_ard_3-2-1_49KGP_2021-01-27_final
2021-02-10 11:56:10	ga_s2bm_ard_3-2-1_50JLM_2021-02-10_final
2021-03-16 11:36:48	ga_s2bm_ard_3-2-1_50HQJ_2021-03-16_final
2021-04-14 12:05:37	ga_s2bm_ard_3-2-1_50JKP_2021-04-14_final
2021-05-01 11:55:55	ga_s2bm_ard_3-2-1_50JKN_2021-05-01_final
2021-05-21 11:56:25	ga_s2bm_ard_3-2-1_50JLL_2021-05-21_final
2021-06-07 11:43:20	ga_s2bm_ard_3-2-1_50KQC_2021-06-07_final
2021-06-13 12:04:00	ga_s2bm_ard_3-2-1_50KKA_2021-06-13_final
2021-07-07 11:45:48	ga_s2bm_ard_3-2-1_50JQN_2021-07-07_final
2021-08-12 12:04:32	ga_s2bm_ard_3-2-1_49KGP_2021-08-12_final
2021-08-29 11:53:44	ga_s2bm_ard_3-2-1_50KQA_2021-08-29_final
2021-10-31 12:04:32	ga_s2bm_ard_3-2-1_49KGP_2021-10-31_final
2021-10-31 12:05:16	ga_s2bm_ard_3-2-1_49JGL_2021-10-31_final
2021-11-14 11:43:21	ga_s2bm_ard_3-2-1_50KQC_2021-11-14_final
2021-12-17 11:56:48	ga_s2bm_ard_3-2-1_50HLJ_2021-12-17_final
2022-01-02 12:14:23	ga_s2bm_ard_3-2-1_49KGP_2022-01-02_final
2022-01-13 11:46:58	ga_s2bm_ard_3-2-1_50HPH_2022-01-13_final
2022-03-30 12:03:55	ga_s2bm_ard_3-2-1_50KKA_2022-03-30_final
2022-05-02 12:13:48	ga_s2bm_ard_3-2-1_50KKA_2022-05-02_final
2022-06-15 11:53:24	ga_s2bm_ard_3-2-1_50KPC_2022-06-15_final
2022-09-13 11:56:13	ga_s2bm_ard_3-2-1_50JLM_2022-09-13_final.stac-item
2022-11-15 12:03:59	ga_s2bm_ard_3-2-1_49KHR_2022-11-15_final.stac-item
2022-11-15 12:05:29	ga_s2bm_ard_3-2-1_49JGK_2022-11-15_final.stac-item
2022-11-25 12:04:12	ga_s2bm_ard_3-2-1_50KKV_2022-11-25_final.stac-item
2022-12-05 12:04:15	ga_s2bm_ard_3-2-1_49KGQ_2022-12-05_final.stac-item
2022-12-06 11:37:18	ga_s2bm_ard_3-2-1_50HPG_2022-12-06_final.stac-item
2023-01-01 11:56:17	ga_s2bm_ard_3-2-1_50JNL_2023-01-01_final.stac-item
2023-03-12 11:56:59	ga_s2bm_ard_3-2-1_50HLJ_2023-03-12_final.stac-item
2023-04-07 12:13:57	ga_s2bm_ard_3-2-1_49KHR_2023-04-07_final.stac-item
2023-04-14 12:03:20	ga_s2bm_ard_3-2-1_50KNC_2023-04-14_final.stac-item
2023-04-14 12:05:12	ga_s2bm_ard_3-2-1_50JKR_2023-04-14_final.stac-item
2023-05-01 11:53:48	ga_s2bm_ard_3-2-1_50KQA_2023-05-01_final.stac-item
2023-10-01 12:06:06	ga_s2bm_ard_3-2-1_50JLM_2023-10-01_final.stac-item
2023-10-28 11:52:21	ga_s2bm_ard_3-2-1_50KQG_2023-10-28_final.stac-item
2023-11-04 11:44:37	ga_s2bm_ard_3-2-1_50JQT_2023-11-04_final.stac-item
2023-11-07 11:53:41	ga_s2bm_ard_3-2-1_50KNB_2023-11-07_final.stac-item
2023-12-03 12:14:24	ga_s2bm_ard_3-2-1_49KGP_2023-12-03_final.stac-item
2023-12-21 11:36:27	ga_s2bm_ard_3-2-1_50JPL_2023-12-21_final.stac-item
2024-02-08 12:04:31	ga_s2bm_ard_3-2-1_49KGP_2024-02-08_final.stac-item
2024-02-28 12:05:28	ga_s2bm_ard_3-2-1_49JGK_2024-02-28_final.stac-item
2024-03-22 12:14:13	ga_s2bm_ard_3-2-1_49KGQ_2024-03-22_final.stac-item
2024-04-12 11:47:25	ga_s2bm_ard_3-2-1_50HMG_2024-04-12_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