Datasets:
Dataset Viewer
The dataset viewer is not available for this split.
Cannot extract the features (columns) for the split 'validation' of the config 'default' of the dataset.
Error code: FeaturesError
Exception: ArrowInvalid
Message: Schema at index 1 was different:
validation_type: string
n: int64
R2: double
RMSE_Mgha: double
model: string
mask_IoU: double
icesat2_total: int64
icesat2_tree_matched: int64
icesat2_role: string
scale_mismatch_note: string
vs
latitude: double
longitude: double
h_canopy_m: double
H_pred: double
AGB_ice: double
AGB_pred: double
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 246, in compute_first_rows_from_streaming_response
iterable_dataset = iterable_dataset._resolve_features()
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 4196, in _resolve_features
features = _infer_features_from_batch(self.with_format(None)._head())
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2533, in _head
return next(iter(self.iter(batch_size=n)))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2711, in iter
for key, pa_table in ex_iterable.iter_arrow():
^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2249, in _iter_arrow
yield from self.ex_iterable._iter_arrow()
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 538, in _iter_arrow
yield new_key, pa.Table.from_batches(chunks_buffer)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "pyarrow/table.pxi", line 5039, in pyarrow.lib.Table.from_batches
File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
pyarrow.lib.ArrowInvalid: Schema at index 1 was different:
validation_type: string
n: int64
R2: double
RMSE_Mgha: double
model: string
mask_IoU: double
icesat2_total: int64
icesat2_tree_matched: int64
icesat2_role: string
scale_mismatch_note: string
vs
latitude: double
longitude: double
h_canopy_m: double
H_pred: double
AGB_ice: double
AGB_pred: doubleNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
Pabna City Urban Tree AGB & Carbon Dataset
Study: Urban Tree Carbon Mapping | Pabna Municipality, Bangladesh
Date: January 12, 2026 | Sensor: PlanetScope 8-band 3m
CRS: EPSG:32645 (UTM Zone 45N) | Author: Sabbir
Folder Structure
01_rasters/ GeoTIFF maps (load in QGIS, ArcGIS, Python)
citywide_agb_Mgha.tif AGB per pixel (Mg/ha)
citywide_carbon_Mgha.tif Carbon stock (Mg/ha)
citywide_co2eq_Mgha.tif CO2 equivalent (Mg/ha)
tree_mask_segformer_t050.tif Binary tree mask (0/1)
02_csv_tables/ Tabular data (pandas, Excel, Tableau)
ward_carbon_equity_stats.csv Per-ward AGB/Carbon/Cover/Gini
citywide_agb_summary.csv City-level summary stats
feature_importance_xgb.csv XGBoost feature importance
icesat2_atl08_all_135pts.csv ICESat-2 ATL08 all points
icesat2_matched_points.csv Tree-matched ICESat-2 points
validation_metrics.csv Model accuracy (CV R2, RMSE)
field_agb_segformer_chm.csv Drone field AGB summary
03_figures/ Publication PNG figures
phase10b_citywide_agb_carbon.png City-wide AGB + Carbon map
phase11_ward_equity_6panel.png Ward equity 6-panel figure
phase12_validation_framework.png Validation framework
04_geojson/ GeoJSON files (Kepler.gl, Leaflet, QGIS)
ward_carbon_equity_merged.geojson Ward polygons + AGB stats
icesat2_atl08_canopy_points.geojson ICESat-2 point locations
ward_boundary.geojson Original ward boundaries
Key Results
| Metric | Value |
|---|---|
| Study area | 1,081.3 ha (15 wards) |
| Tree canopy | 285.6 ha (26.4%) |
| Total AGB | 6,946 Mg |
| Total Carbon | 3,265 Mg C |
| Total CO2eq | 11,982 Mg CO2eq |
| Mean AGB density | 24.3 Mg/ha |
| Ward cover range | 16.4% to 40.9% |
| Gini (cover) | 0.1546 |
| CV R2 (XGB) | 0.6919 |
| RMSE | 10.77 Mg/ha |
| SegFormer IoU | 0.8741 |
Quick Load (Python)
from huggingface_hub import hf_hub_download
import pandas as pd, geopandas as gpd, rasterio
REPO = 'Sabbir12345/Pabna-CityTree-Jan12-Final'
# Ward GeoJSON (for map visualization)
ward_path = hf_hub_download(repo_id=REPO,
filename='04_geojson/ward_carbon_equity_merged.geojson',
repo_type='dataset')
gdf = gpd.read_file(ward_path)
print(gdf[['Ward','Cover_pct','Carbon_Mg','CO2eq_Mg']])
# AGB raster
agb_path = hf_hub_download(repo_id=REPO,
filename='01_rasters/citywide_agb_Mgha.tif',
repo_type='dataset')
with rasterio.open(agb_path) as src:
agb = src.read(1)
# Ward stats CSV
csv_path = hf_hub_download(repo_id=REPO,
filename='02_csv_tables/ward_carbon_equity_stats.csv',
repo_type='dataset')
df = pd.read_csv(csv_path)
Methodology
PlanetScope 8-band 3m (Jan 12, 2026)
-> SegFormer Segmentation [IoU=0.8741]
-> Drone CHM 5cm (3 fields)
-> Allometry AGB=1.3322*H^1.5 [ICESat-2 calibrated]
-> XGB+RF+LGB Ensemble [CV R2=0.6919]
-> City-wide AGB inference
-> Carbon (x0.47) + CO2eq (x3.67)
-> Per-ward equity analysis [Gini=0.1546]
Citation
Sabbir et al. (2026). Urban Tree Biomass and Carbon Stock Estimation using SegFormer and PlanetScope Imagery: A Case Study of Pabna Municipality, Bangladesh. [Journal TBD]
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