Table 1 Sampling site details on forest types, inventory statistics and characteristics of the LiDAR acquisitions.
From: LiDAR-based reference aboveground biomass maps for tropical forests of South Asia and Central Africa
Sno | Site name | Region | PFT | INVDate | AreaINV | Nrange | BArange | LiDARDate | LiDARArea | Platform |
|---|---|---|---|---|---|---|---|---|---|---|
1 | Betul | S-As | DBT, GSW | 02-2016 to 03-2016 | 46 | 150–437 | 7.2–20.2 | 04-2014 | 10000 | Aircraft |
2 | Achanakmar | S-As | EBT, DBT | 12-2017 to 01-2018 | 16 | 186–509 | 10.0–31.3 | 10-2015 | 11000 | Aircraft |
3 | Yellapur | S-As | EBT, DBT, GSW | 01-2015 & 01-2016 | 15 | 140–749 | 20.3–43.6 | 11-2017 | 40000 | Aircraft |
4 | Uppangala | S-As | EBT | 03-2013 & 03-2014 | 23 | 370–838 | 10.3–62.4 | 11-2013 | 900 | Aircraft |
5 | Khaoyai | S-As | EBT | 11-2015 to 04-2018 | 34.84 | 394–1015 | 20.8–38.1 | 04-2017 | 4500 | Aircraft |
6 | Nachtigal | C-Af | DBT, GSW | 02-2018 to 05-2018 | 13.16 | 216–538 | 23.4–35.0 | 01/2012 | 25000 | Aircraft |
7 | Mbalmayo | C-Af | EBT | 04-2021 to 07-2021 | 9 | 442–596 | 20.1–32.5 | 02-2023 | 400 | UAV |
8 | Atout | C-Af | EBT | 07-2017 | 2 | 475–574 | 30.8–32.0 | 11-2021 | 150 | UAV |
9 | Kompia | C-Af | EBT | 12-2018 | 2 | 423–519 | 29.0–32.3 | 12-2019 | 400 | UAV |
10 | Somalomo | C-Af | EBT | 09-2022 | 8 | 325–508 | 25.4–33.6 | 04-2022 | 800 | UAV |
11 | Bouamir | C-Af | EBT | 12-2018 | 4 | 362–552 | 24.9–35.8 | 12/2018 | 1000 | UAV |
12 | Mabounié | C-Af | EBT | 04-2012 to 10-2012 | 11 | 222–492 | 17.7–31.4 | 11/2007 | 16000 | Aircraft |
13 | Rabi | C-Af | EBT | 2015 | 25 | 392–532 | 20.5–36.6 | 10/2012 | 1000 | Aircraft |
