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
2017-07-05 11:32:58	ga_s2bm_ard_3-2-1_51KWQ_2017-07-05_final
2017-09-23 11:35:47	ga_s2bm_ard_3-2-1_51HTC_2017-09-23_final
2017-11-12 11:27:16	ga_s2bm_ard_3-2-1_51HUC_2017-11-12_final
2017-11-29 11:19:33	ga_s2bm_ard_3-2-1_51KWQ_2017-11-29_final
2017-12-25 11:40:37	ga_s2bm_ard_3-2-1_51JTN_2017-12-25_final
2018-02-22 12:13:13	ga_s2bm_ard_3-2-1_50KKA_2018-02-22_final
2018-02-23 11:40:38	ga_s2bm_ard_3-2-1_51KVU_2018-02-23_final
2018-03-22 11:29:32	ga_s2bm_ard_3-2-1_50HPH_2018-03-22_final
2018-04-04 11:40:13	ga_s2bm_ard_3-2-1_51KUR_2018-04-04_final
2018-04-10 12:04:57	ga_s2bm_ard_3-2-1_50JLM_2018-04-10_final
2018-05-31 11:32:50	ga_s2bm_ard_3-2-1_51KVR_2018-05-31_final
2018-06-03 11:40:10	ga_s2bm_ard_3-2-1_51KTT_2018-06-03_final
2018-06-06 11:51:08	ga_s2bm_ard_3-2-1_50JPR_2018-06-06_final
2018-06-29 12:02:48	ga_s2bm_ard_3-2-1_50JKM_2018-06-29_final
2018-07-03 11:44:57	ga_s2bm_ard_3-2-1_50HPJ_2018-07-03_final
2018-07-26 11:52:57	ga_s2bm_ard_3-2-1_50KNA_2018-07-26_final
2018-09-04 11:52:51	ga_s2bm_ard_3-2-1_50JLN_2018-09-04_final
2018-09-14 11:52:51	ga_s2bm_ard_3-2-1_50JML_2018-09-14_final
2018-11-10 11:42:11	ga_s2bm_ard_3-2-1_51KVB_2018-11-10_final
2018-12-07 11:37:12	ga_s2bm_ard_3-2-1_50HQG_2018-12-07_final.stac-item
2019-01-22 11:56:51	ga_s2bm_ard_3-2-1_50HMJ_2019-01-22_final
2019-01-28 12:14:27	ga_s2bm_ard_3-2-1_49KGP_2019-01-28_final
2019-04-15 12:03:49	ga_s2bm_ard_3-2-1_50KKB_2019-04-15_final
2019-05-19 11:43:38	ga_s2bm_ard_3-2-1_51KUS_2019-05-19_final
2019-08-16 12:15:06	ga_s2bm_ard_3-2-1_49JFM_2019-08-16_final
2019-08-24 11:36:48	ga_s2bm_ard_3-2-1_51HUD_2019-08-24_final
2019-09-06 11:42:30	ga_s2bm_ard_3-2-1_51KVA_2019-09-06_final
2019-10-26 11:42:14	ga_s2bm_ard_3-2-1_51KVB_2019-10-26_final
2019-10-29 11:53:11	ga_s2bm_ard_3-2-1_50KRC_2019-10-29_final
2019-11-28 11:52:15	ga_s2bm_ard_3-2-1_50KQG_2019-11-28_final.stac-item
2019-12-05 11:43:12	ga_s2bm_ard_3-2-1_51KTT_2019-12-05_final
2019-12-25 11:46:47	ga_s2bm_ard_3-2-1_50HNJ_2019-12-25_final
2020-01-27 11:52:12	ga_s2bm_ard_3-2-1_50KQG_2020-01-27_final.stac-item
2020-02-10 11:35:07	ga_s2bm_ard_3-2-1_51JVK_2020-02-10_final
2020-03-30 12:03:42	ga_s2bm_ard_3-2-1_50KKB_2020-03-30_final
2020-04-23 11:46:43	ga_s2bm_ard_3-2-1_50HQJ_2020-04-23_final
2020-05-29 12:05:53	ga_s2bm_ard_3-2-1_50JLN_2020-05-29_final
2020-06-25 11:53:13	ga_s2bm_ard_3-2-1_50KRC_2020-06-25_final
2020-07-08 12:05:53	ga_s2bm_ard_3-2-1_50JLN_2020-07-08_final
2020-08-07 12:03:48	ga_s2bm_ard_3-2-1_49KHS_2020-08-07_final.stac-item
2020-08-07 12:05:41	ga_s2bm_ard_3-2-1_50JLP_2020-08-07_final
2020-08-21 11:43:47	ga_s2bm_ard_3-2-1_51KUR_2020-08-21_final
2020-09-03 11:55:56	ga_s2bm_ard_3-2-1_50JMN_2020-09-03_final
2020-09-30 11:42:31	ga_s2bm_ard_3-2-1_51KVA_2020-09-30_final
2020-10-10 11:43:20	ga_s2bm_ard_3-2-1_51KVT_2020-10-10_final
2020-12-16 11:35:55	ga_s2bm_ard_3-2-1_51JUG_2020-12-16_final
2021-01-08 11:43:17	ga_s2bm_ard_3-2-1_51KTT_2021-01-08_final
2021-01-18 11:42:09	ga_s2bm_ard_3-2-1_51KWB_2021-01-18_final
2021-02-17 11:43:41	ga_s2bm_ard_3-2-1_51KUR_2021-02-17_final
2021-02-24 11:33:14	ga_s2bm_ard_3-2-1_51KVT_2021-02-24_final
2021-03-02 11:53:38	ga_s2bm_ard_3-2-1_50KNB_2021-03-02_final
2021-05-21 11:52:19	ga_s2bm_ard_3-2-1_50KQG_2021-05-21_final.stac-item
2021-06-30 11:53:04	ga_s2bm_ard_3-2-1_50KQD_2021-06-30_final.stac-item
2021-07-07 11:47:08	ga_s2bm_ard_3-2-1_50HNH_2021-07-07_final
2021-07-10 11:56:06	ga_s2bm_ard_3-2-1_50JNM_2021-07-10_final
2021-07-24 11:34:02	ga_s2bm_ard_3-2-1_51KVQ_2021-07-24_final
2021-09-15 11:47:17	ga_s2bm_ard_3-2-1_50HNG_2021-09-15_final.stac-item
2021-09-22 11:32:44	ga_s2bm_ard_3-2-1_51KVV_2021-09-22_final
2021-10-05 11:43:22	ga_s2bm_ard_3-2-1_51KUT_2021-10-05_final
2021-11-21 11:33:45	ga_s2bm_ard_3-2-1_51KUR_2021-11-21_final
2021-12-04 11:43:31	ga_s2bm_ard_3-2-1_51KVR_2021-12-04_final
2021-12-27 11:55:55	ga_s2bm_ard_3-2-1_50JKN_2021-12-27_final
2022-02-19 11:33:16	ga_s2bm_ard_3-2-1_51KUT_2022-02-19_final
2022-03-10 12:05:27	ga_s2bm_ard_3-2-1_49JGK_2022-03-10_final
2022-03-21 11:34:08	ga_s2bm_ard_3-2-1_51KWP_2022-03-21_final
2022-03-25 11:16:20	ga_s2bm_ard_3-2-1_51HYE_2022-03-25_final
2022-04-06 11:53:14	ga_s2bm_ard_3-2-1_50KQC_2022-04-06_final
2022-06-19 11:32:23	ga_s2bm_ard_3-2-1_51KVB_2022-06-19_final
2022-08-11 11:42:20	ga_s2bm_ard_3-2-1_51KUB_2022-08-11_final.stac-item
2022-08-11 11:42:49	ga_s2bm_ard_3-2-1_51KUV_2022-08-11_final
2022-10-10 11:42:55	ga_s2bm_ard_3-2-1_51KVU_2022-10-10_final.stac-item
2022-11-06 11:34:12	ga_s2bm_ard_3-2-1_51KVP_2022-11-06_final.stac-item
2022-12-09 11:42:42	ga_s2bm_ard_3-2-1_51KUV_2022-12-09_final.stac-item
2022-12-19 11:43:17	ga_s2bm_ard_3-2-1_51KTT_2022-12-19_final.stac-item
2023-01-21 11:56:16	ga_s2bm_ard_3-2-1_50JNL_2023-01-21_final.stac-item
2023-01-28 11:43:19	ga_s2bm_ard_3-2-1_50KQC_2023-01-28_final.stac-item
2023-02-17 11:42:44	ga_s2bm_ard_3-2-1_51KUV_2023-02-17_final.stac-item
2023-03-03 11:24:56	ga_s2bm_ard_3-2-1_51JXL_2023-03-03_final.stac-item
2023-03-09 11:42:17	ga_s2bm_ard_3-2-1_51KVB_2023-03-09_final.stac-item
2023-04-08 11:42:59	ga_s2bm_ard_3-2-1_51KVU_2023-04-08_final.stac-item
2023-04-15 11:37:27	ga_s2bm_ard_3-2-1_50HNG_2023-04-15_final.stac-item
2023-04-28 11:43:20	ga_s2bm_ard_3-2-1_51KTT_2023-04-28_final.stac-item
2023-05-01 11:57:22	ga_s2bm_ard_3-2-1_50HMG_2023-05-01_final.stac-item
2023-05-04 12:05:58	ga_s2bm_ard_3-2-1_50JKN_2023-05-04_final.stac-item
2023-06-10 11:56:19	ga_s2bm_ard_3-2-1_50JKM_2023-06-10_final.stac-item
2023-06-24 11:34:04	ga_s2bm_ard_3-2-1_51KVQ_2023-06-24_final.stac-item
2023-07-07 11:42:18	ga_s2bm_ard_3-2-1_51KVB_2023-07-07_final.stac-item
2023-07-14 11:36:24	ga_s2bm_ard_3-2-1_50JQL_2023-07-14_final.stac-item
2023-07-24 11:33:51	ga_s2bm_ard_3-2-1_51KVR_2023-07-24_final.stac-item
2023-08-02 12:04:04	ga_s2bm_ard_3-2-1_49KHR_2023-08-02_final.stac-item
2023-08-06 11:45:26	ga_s2bm_ard_3-2-1_50JPQ_2023-08-06_final.stac-item
2023-08-29 11:53:15	ga_s2bm_ard_3-2-1_50KRC_2023-08-29_final.stac-item
2023-10-02 11:32:48	ga_s2bm_ard_3-2-1_51KVV_2023-10-02_final.stac-item
2023-11-07 11:53:33	ga_s2bm_ard_3-2-1_50KMC_2023-11-07_final.stac-item
2023-12-07 11:57:06	ga_s2bm_ard_3-2-1_50HLH_2023-12-07_final.stac-item
2023-12-27 11:52:20	ga_s2bm_ard_3-2-1_50KQG_2023-12-27_final.stac-item
2024-01-10 11:33:20	ga_s2bm_ard_3-2-1_51KUT_2024-01-10_final.stac-item
2024-02-02 11:47:21	ga_s2bm_ard_3-2-1_50HMG_2024-02-02_final.stac-item
2024-04-02 11:43:10	ga_s2bm_ard_3-2-1_51KVT_2024-04-02_final.stac-item
2024-04-22 11:42:57	ga_s2bm_ard_3-2-1_51KVU_2024-04-22_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