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1 | 1 | # NEON Multi-Modal Tree Species Dataset |
2 | 2 |
|
3 | | -Hyperspectral, RGB and LiDAR airborne data for **96 tree species** representing **5,518 individual trees** across **30 NEON sites** in North America. |
| 3 | +Hyperspectral, RGB and LiDAR airborne data for **162 tree species** representing **42,453 individual trees** across **27 NEON sites** in North America. |
4 | 4 |
|
5 | 5 | ## Dataset Overview |
6 | 6 |
|
7 | | -- **5,518** individual tree crowns |
8 | | -- **96** unique species |
9 | | -- **30** NEON sites across North America |
10 | | -- **2018-2020** (3 years of data) |
| 7 | +- **42,453** individual tree crowns |
| 8 | +- **162** unique species |
| 9 | +- **27** NEON sites across North America |
| 10 | +- **2014-2023** (10 years of data) |
11 | 11 | - **3 modalities:** RGB, Hyperspectral (426 bands), LiDAR CHM |
12 | 12 |
|
13 | 13 | ## Quick Start |
@@ -75,35 +75,35 @@ plot_lidar(sample['lidar_path']) |
75 | 75 |
|
76 | 76 | ## Top Species |
77 | 77 |
|
78 | | -The dataset includes 96 tree species. Here are the most common: |
| 78 | +The dataset includes 162 tree species. Here are the most common: |
79 | 79 |
|
80 | 80 | | Rank | Species | Count | Percentage | |
81 | 81 | |------|---------|-------|------------| |
82 | | -| 1 | Picea mariana (Mill.) Britton, Sterns & Poggenb. | 678 | 12.3% | |
83 | | -| 2 | Acer rubrum L. | 360 | 6.5% | |
84 | | -| 3 | Pseudotsuga menziesii (Mirb.) Franco var. menziesii | 300 | 5.4% | |
85 | | -| 4 | Populus tremuloides Michx. | 271 | 4.9% | |
86 | | -| 5 | Quercus rubra L. | 243 | 4.4% | |
87 | | -| 6 | Pinus palustris Mill. | 233 | 4.2% | |
88 | | -| 7 | Tsuga canadensis (L.) Carrière | 200 | 3.6% | |
89 | | -| 8 | Pinus contorta Douglas ex Loudon var. latifolia Engelm. ex S. Watson | 189 | 3.4% | |
90 | | -| 9 | Abies lasiocarpa (Hook.) Nutt. var. lasiocarpa | 172 | 3.1% | |
91 | | -| 10 | Betula neoalaskana Sarg. | 162 | 2.9% | |
| 82 | +| 1 | Acer rubrum L. | 5,324 | 12.5% | |
| 83 | +| 2 | Tsuga canadensis (L.) Carrière | 3,103 | 7.3% | |
| 84 | +| 3 | Pseudotsuga menziesii (Mirb.) Franco var. menziesii | 2,678 | 6.3% | |
| 85 | +| 4 | Pinus palustris Mill. | 1,974 | 4.6% | |
| 86 | +| 5 | Quercus rubra L. | 1,843 | 4.3% | |
| 87 | +| 6 | Pinus contorta Douglas ex Loudon var. latifolia Engelm. ex S. Watson | 1,822 | 4.3% | |
| 88 | +| 7 | Tsuga heterophylla (Raf.) Sarg. | 1,394 | 3.3% | |
| 89 | +| 8 | Populus tremuloides Michx. | 1,091 | 2.6% | |
| 90 | +| 9 | Liriodendron tulipifera L. | 1,049 | 2.5% | |
| 91 | +| 10 | Quercus alba L. | 1,004 | 2.4% | |
92 | 92 |
|
93 | 93 | ## Geographic Distribution |
94 | 94 |
|
95 | | -Data collected from **30 NEON sites** across North America: |
| 95 | +Data collected from **27 NEON sites** across North America: |
96 | 96 |
|
97 | | -**1.** DEJU: 577 samples (10.5%) |
98 | | -**2.** BART: 533 samples (9.7%) |
99 | | -**3.** BONA: 504 samples (9.1%) |
100 | | -**4.** HARV: 490 samples (8.9%) |
101 | | -**5.** MLBS: 368 samples (6.7%) |
102 | | -**6.** RMNP: 329 samples (6.0%) |
103 | | -**7.** DELA: 299 samples (5.4%) |
104 | | -**8.** NIWO: 276 samples (5.0%) |
105 | | -**9.** UNDE: 262 samples (4.7%) |
106 | | -**10.** TALL: 246 samples (4.5%) |
| 97 | +**1.** HARV: 6,672 samples (15.7%) |
| 98 | +**2.** MLBS: 5,056 samples (11.9%) |
| 99 | +**3.** GRSM: 4,774 samples (11.2%) |
| 100 | +**4.** DELA: 4,240 samples (10.0%) |
| 101 | +**5.** RMNP: 3,602 samples (8.5%) |
| 102 | +**6.** WREF: 3,517 samples (8.3%) |
| 103 | +**7.** OSBS: 2,101 samples (4.9%) |
| 104 | +**8.** BART: 1,827 samples (4.3%) |
| 105 | +**9.** UNDE: 1,678 samples (4.0%) |
| 106 | +**10.** CLBJ: 1,655 samples (3.9%) |
107 | 107 |
|
108 | 108 | ## Installation |
109 | 109 |
|
@@ -184,7 +184,7 @@ datamodule = NeonCrownDataModule( |
184 | 184 | ) |
185 | 185 |
|
186 | 186 | # Train RGB model |
187 | | -classifier = RGBClassifier(num_classes=96) |
| 187 | +classifier = RGBClassifier(num_classes=162) |
188 | 188 |
|
189 | 189 | import lightning as L |
190 | 190 | trainer = L.Trainer(max_epochs=50) |
@@ -237,5 +237,5 @@ Ritesh Chowdhry |
237 | 237 | ## Acknowledgments |
238 | 238 |
|
239 | 239 | - National Ecological Observatory Network (NEON) |
240 | | -- This dataset details were generated on 2025-08-24 |
| 240 | +- This dataset details were generated on 2025-08-26 |
241 | 241 |
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