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
2017-08-13 12:02:47	ga_s2bm_ard_3-2-1_50JMT_2017-08-13_final
2017-08-20 11:49:42	ga_s2bm_ard_3-2-1_50JLT_2017-08-20_final
2017-08-27 11:40:44	ga_s2bm_ard_3-2-1_50JPR_2017-08-27_final
2017-09-12 12:04:33	ga_s2bm_ard_3-2-1_50JLT_2017-09-12_final
2017-10-06 11:40:29	ga_s2bm_ard_3-2-1_50HLH_2017-10-06_final
2017-12-08 11:49:07	ga_s2bm_ard_3-2-1_50JKP_2017-12-08_final
2017-12-25 11:46:02	ga_s2bm_ard_3-2-1_50HPG_2017-12-25_final.stac-item
2018-01-20 12:02:42	ga_s2bm_ard_3-2-1_50JKP_2018-01-20_final
2018-02-10 11:35:47	ga_s2bm_ard_3-2-1_50JQL_2018-02-10_final
2018-02-10 11:35:47	ga_s2bm_ard_3-2-1_50JQM_2018-02-10_final
2018-02-13 11:43:42	ga_s2bm_ard_3-2-1_50JNN_2018-02-13_final
2018-02-13 11:43:42	ga_s2bm_ard_3-2-1_50JPN_2018-02-13_final
2018-02-13 11:43:42	ga_s2bm_ard_3-2-1_50JPS_2018-02-13_final
2018-03-08 11:51:37	ga_s2bm_ard_3-2-1_50JPS_2018-03-08_final
2018-03-11 12:02:40	ga_s2bm_ard_3-2-1_49JGJ_2018-03-11_final
2018-03-15 11:39:58	ga_s2bm_ard_3-2-1_50JPT_2018-03-15_final
2018-03-18 11:50:35	ga_s2bm_ard_3-2-1_50JKN_2018-03-18_final
2018-03-24 12:13:16	ga_s2bm_ard_3-2-1_49JGL_2018-03-24_final
2018-03-28 11:51:53	ga_s2bm_ard_3-2-1_50JMN_2018-03-28_final
2018-03-28 11:51:53	ga_s2bm_ard_3-2-1_50JMS_2018-03-28_final
2018-03-28 11:51:53	ga_s2bm_ard_3-2-1_50JNQ_2018-03-28_final
2018-03-28 11:51:53	ga_s2bm_ard_3-2-1_50JNR_2018-03-28_final
2018-03-31 12:02:45	ga_s2bm_ard_3-2-1_49JGL_2018-03-31_final
2018-03-31 12:02:45	ga_s2bm_ard_3-2-1_50JLR_2018-03-31_final
2018-04-03 12:13:18	ga_s2bm_ard_3-2-1_49JGL_2018-04-03_final
2018-04-04 11:40:13	ga_s2bm_ard_3-2-1_50JPR_2018-04-04_final
2018-04-04 11:45:38	ga_s2bm_ard_3-2-1_50JQM_2018-04-04_final
2018-04-07 11:53:07	ga_s2bm_ard_3-2-1_50JMP_2018-04-07_final
2018-04-11 11:30:56	ga_s2bm_ard_3-2-1_50HQK_2018-04-11_final.stac-item
2018-04-14 11:46:05	ga_s2bm_ard_3-2-1_50HMK_2018-04-14_final
2018-04-17 11:52:54	ga_s2bm_ard_3-2-1_50JLQ_2018-04-17_final
2018-04-17 11:52:54	ga_s2bm_ard_3-2-1_50JLS_2018-04-17_final
2018-04-17 11:56:30	ga_s2bm_ard_3-2-1_50HMJ_2018-04-17_final
2018-04-20 12:04:00	ga_s2bm_ard_3-2-1_50JKQ_2018-04-20_final
2018-07-03 11:44:57	ga_s2bm_ard_3-2-1_50JNM_2018-07-03_final
2018-07-23 11:40:57	ga_s2bm_ard_3-2-1_50JPL_2018-07-23_final
2018-07-26 11:52:57	ga_s2bm_ard_3-2-1_50JKP_2018-07-26_final
2018-08-12 11:41:45	ga_s2bm_ard_3-2-1_50HMG_2018-08-12_final.stac-item
2018-08-22 11:38:17	ga_s2bm_ard_3-2-1_50JNR_2018-08-22_final
2018-08-25 11:52:52	ga_s2bm_ard_3-2-1_50JKN_2018-08-25_final
2018-08-28 12:02:40	ga_s2bm_ard_3-2-1_49JGN_2018-08-28_final
2018-09-11 11:41:45	ga_s2bm_ard_3-2-1_50JPT_2018-09-11_final
2018-12-30 11:47:11	ga_s2bm_ard_3-2-1_50HLH_2018-12-30_final
2019-01-12 11:54:43	ga_s2bm_ard_3-2-1_50JLT_2019-01-12_final
2019-02-07 12:13:40	ga_s2bm_ard_3-2-1_49KHS_2019-02-07_final.stac-item
2019-03-10 11:46:31	ga_s2bm_ard_3-2-1_50HPK_2019-03-10_final
2019-04-12 11:56:45	ga_s2bm_ard_3-2-1_50HLK_2019-04-12_final
2019-04-22 11:56:29	ga_s2bm_ard_3-2-1_50JML_2019-04-22_final
2019-04-26 11:36:27	ga_s2bm_ard_3-2-1_50JQL_2019-04-26_final
2019-05-09 11:47:36	ga_s2bm_ard_3-2-1_50HLG_2019-05-09_final.stac-item
2019-05-19 11:45:33	ga_s2bm_ard_3-2-1_50JNQ_2019-05-19_final
2019-05-22 11:54:50	ga_s2bm_ard_3-2-1_50JNT_2019-05-22_final
2019-05-22 11:54:52	ga_s2bm_ard_3-2-1_50JMT_2019-05-22_final
2019-05-22 11:55:33	ga_s2bm_ard_3-2-1_50JMQ_2019-05-22_final
2019-05-22 11:56:13	ga_s2bm_ard_3-2-1_50JNM_2019-05-22_final
2019-05-25 12:03:53	ga_s2bm_ard_3-2-1_49KHS_2019-05-25_final.stac-item
2019-05-29 11:45:33	ga_s2bm_ard_3-2-1_50JNQ_2019-05-29_final
2019-05-29 11:46:56	ga_s2bm_ard_3-2-1_50HMK_2019-05-29_final
2019-06-04 12:05:49	ga_s2bm_ard_3-2-1_50JKP_2019-06-04_final
2019-06-11 11:57:28	ga_s2bm_ard_3-2-1_50HMG_2019-06-11_final.stac-item
2019-06-18 11:46:51	ga_s2bm_ard_3-2-1_50HQJ_2019-06-18_final
2019-10-16 11:46:49	ga_s2bm_ard_3-2-1_50HPJ_2019-10-16_final
2019-12-15 11:47:09	ga_s2bm_ard_3-2-1_50HLH_2019-12-15_final
2020-03-13 12:14:39	ga_s2bm_ard_3-2-1_49JGN_2020-03-13_final
2020-03-14 11:47:08	ga_s2bm_ard_3-2-1_50HMH_2020-03-14_final
2020-08-11 11:47:24	ga_s2bm_ard_3-2-1_50HNG_2020-08-11_final.stac-item
2020-10-26 12:03:48	ga_s2bm_ard_3-2-1_49KHS_2020-10-26_final.stac-item
2020-10-27 11:36:30	ga_s2bm_ard_3-2-1_50JPL_2020-10-27_final
2020-10-30 11:46:58	ga_s2bm_ard_3-2-1_50HMJ_2020-10-30_final
2020-12-19 11:47:20	ga_s2bm_ard_3-2-1_50HMG_2020-12-19_final.stac-item
2021-04-28 11:46:38	ga_s2bm_ard_3-2-1_50HQJ_2021-04-28_final
2021-05-17 12:15:01	ga_s2bm_ard_3-2-1_49JGM_2021-05-17_final
2021-05-28 11:44:38	ga_s2bm_ard_3-2-1_50JPT_2021-05-28_final
2021-06-23 12:05:01	ga_s2bm_ard_3-2-1_49JGM_2021-06-23_final
2021-06-23 12:05:23	ga_s2bm_ard_3-2-1_50JLQ_2021-06-23_final
2021-06-27 11:44:38	ga_s2bm_ard_3-2-1_50JPT_2021-06-27_final
2021-07-04 11:36:21	ga_s2bm_ard_3-2-1_50JQL_2021-07-04_final
2021-07-07 11:45:26	ga_s2bm_ard_3-2-1_50JNQ_2021-07-07_final
2021-07-16 12:14:43	ga_s2bm_ard_3-2-1_49JGN_2021-07-16_final
2021-07-17 11:44:40	ga_s2bm_ard_3-2-1_50JPT_2021-07-17_final
2021-07-23 12:04:59	ga_s2bm_ard_3-2-1_49JHM_2021-07-23_final
2021-08-09 11:56:08	ga_s2bm_ard_3-2-1_50JMM_2021-08-09_final
2021-08-19 11:54:47	ga_s2bm_ard_3-2-1_50JPS_2021-08-19_final
2021-09-24 12:13:42	ga_s2bm_ard_3-2-1_49KHS_2021-09-24_final.stac-item
2021-11-14 11:46:54	ga_s2bm_ard_3-2-1_50HMJ_2021-11-14_final
2021-12-04 11:46:57	ga_s2bm_ard_3-2-1_50HPH_2021-12-04_final
2021-12-07 11:54:43	ga_s2bm_ard_3-2-1_50JPS_2021-12-07_final
2021-12-07 11:54:53	ga_s2bm_ard_3-2-1_50JLS_2021-12-07_final
2022-01-19 12:03:40	ga_s2bm_ard_3-2-1_49KHS_2022-01-19_final.stac-item
2022-02-12 11:46:35	ga_s2bm_ard_3-2-1_50HMK_2022-02-12_final
2022-03-21 11:37:19	ga_s2bm_ard_3-2-1_50HPG_2022-03-21_final.stac-item
2022-04-19 12:03:40	ga_s2bm_ard_3-2-1_49KHS_2022-04-19_final.stac-item
2022-04-22 12:14:36	ga_s2bm_ard_3-2-1_49JGN_2022-04-22_final
2022-09-03 11:54:46	ga_s2bm_ard_3-2-1_50JLT_2022-09-03_final.stac-item
2022-12-16 11:37:25	ga_s2bm_ard_3-2-1_50HNG_2022-12-16_final.stac-item
2023-01-11 11:55:38	ga_s2bm_ard_3-2-1_50JLP_2023-01-11_final.stac-item
2023-01-11 11:56:47	ga_s2bm_ard_3-2-1_50HMJ_2023-01-11_final.stac-item
2023-01-24 12:04:41	ga_s2bm_ard_3-2-1_50JKT_2023-01-24_final.stac-item
2023-07-14 11:36:53	ga_s2bm_ard_3-2-1_50HQJ_2023-07-14_final.stac-item
2024-04-12 11:46:30	ga_s2bm_ard_3-2-1_50HQK_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