Name
Abstract | ||
|---|---|---|
One of the biggest challenges in forestry research is the effective and accurate measuring and monitoring of forest variables, as the exploitation potential of forest inventory products largely depends on the accuracy of estimates and on the cost of data collection. This paper presented a novel computational method of low-cost forest inventory using global navigation satellite system (GNSS) signal... |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/TGRS.2017.2650944 | IEEE Transactions on Geoscience and Remote Sensing |
Keywords | Field | DocType |
Crowdsourcing,Geospatial analysis,Receivers,Data collection,Vegetation,Biomass,Remote sensing | Reference data (financial markets),Data collection,Crowdsourcing,Remote sensing,Forest inventory,Basal area,GNSS applications,Random forest,Total cost,Mathematics | Journal |
Volume | Issue | ISSN |
55 | 9 | 0196-2892 |
Citations | PageRank | References |
0 | 0.34 | 8 |
Authors | ||
10 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jingbin Liu | 1 | 174 | 22.22 |
| Juha Hyyppä | 2 | 439 | 66.75 |
| yu xiaowei | 3 | 49 | 5.35 |
| Anttoni Jaakkola | 4 | 344 | 30.30 |
| Antero Kukko | 5 | 483 | 47.44 |
| Harri Kaartinen | 6 | 608 | 63.10 |
| lingli zhu | 7 | 106 | 9.87 |
| Xinlian Liang | 8 | 193 | 23.72 |
| Yunsheng Wang | 9 | 26 | 3.68 |
| Hannu Hyyppa | 10 | 202 | 23.16 |