Asking questions about GEDI data
Posted: Wed Feb 08, 2023 1:50 pm America/New_York
The LP DAAC User Services team received the following question via email. We believe the answer will help the science community, so we are adding it to the forum too.
From a user:
At the risk of interrupting, I would like to ask a question about GEDI data.
I am a student. I read GEDI L1B data in R language and found that the
"rx_energy " value of multiple shot_number of a certain data of L1B raw data is negative, is this because of noise or because this is an outlier in the
raw data? I would be especially grateful if you could get back to me as soon
as possible!
shot_number latitude_bin0 latitude_lastbin longitude_bin0
longitude_lastbin elevation_bin0 elevation_lastbin tx_egamplitude rx_energy
1: 40270000100000001 -29.76426 -29.76426 -88.13303
-88.13303 6656.992 6642.007 0 -49.7500
2: 40270000100000002 -29.76407 -29.76407 -88.13283
-88.13283 6656.312 6641.327 0 25.0000
3: 40270000100000003 -29.76388 -29.76388 -88.13263
-88.13263 6656.232 6641.247 0 -138.1875
4: 40270000100000004 -29.76370 -29.76369 -88.13242
-88.13242 6656.751 6641.766 0 70.9375
5: 40270000100000005 -29.76351 -29.76351 -88.13222
-88.13222 6656.670 6641.685 0 -70.4375
6: 40270000100000006 -29.76332 -29.76332 -88.13202
-88.13202 6655.990 6641.005 0 -64.5000
From a user:
At the risk of interrupting, I would like to ask a question about GEDI data.
I am a student. I read GEDI L1B data in R language and found that the
"rx_energy " value of multiple shot_number of a certain data of L1B raw data is negative, is this because of noise or because this is an outlier in the
raw data? I would be especially grateful if you could get back to me as soon
as possible!
shot_number latitude_bin0 latitude_lastbin longitude_bin0
longitude_lastbin elevation_bin0 elevation_lastbin tx_egamplitude rx_energy
1: 40270000100000001 -29.76426 -29.76426 -88.13303
-88.13303 6656.992 6642.007 0 -49.7500
2: 40270000100000002 -29.76407 -29.76407 -88.13283
-88.13283 6656.312 6641.327 0 25.0000
3: 40270000100000003 -29.76388 -29.76388 -88.13263
-88.13263 6656.232 6641.247 0 -138.1875
4: 40270000100000004 -29.76370 -29.76369 -88.13242
-88.13242 6656.751 6641.766 0 70.9375
5: 40270000100000005 -29.76351 -29.76351 -88.13222
-88.13222 6656.670 6641.685 0 -70.4375
6: 40270000100000006 -29.76332 -29.76332 -88.13202
-88.13202 6655.990 6641.005 0 -64.5000