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Data · dataset · 2026

Unsupervised Automated Remote Sensing Monitoring of Crop Lodging for the Entire Pre- and PostDisaster Process

Listed in ScienceDB

Description

This dataset supports the study “Unsupervised Automated Remote Sensing Monitoring of Crop Lodging for the Entire Pre- and Post-Disaster Process.” It contains a Sentinel-2 Level-2A surface reflectance time series covering Bohetai Township, Zhaoyuan County, Daqing City, Heilongjiang Province, China, from January 19, 2018, to December 25, 2020. Images with scene-level cloud cover below 20% were selected and deduplicated by acquisition date, resulting in 108 observations.

Each image was clipped to the administrative boundary of Bohetai Township, resampled to a spatial resolution of 10 m, and projected to WGS 84/UTM Zone 51N (EPSG:32651). Each observation contains bands B02, B03, B04, B05, B06, B07, B8A, and B11, together with the Scene Classification Layer (SCL). The dataset can support crop growth curve construction, time-series anomaly detection, vegetation index calculation, crop lodging monitoring, and related agricultural remote-sensing research.

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Where it is published

Catalogue records · 1

Topics

Inferred from text
Genome sequencing 65% · Geomatic engineering 73% · Image 75% · Satellite remote sensing 65%
Provenance · 1 source records, 14 field assertions
SourceKeyLast seenRaw
ScienceDB10.57760/sciencedb.011vi10 d agoJSON v1
FieldAssertionExtractorEvidence
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concepts[modality].local:modality:genome-sequencingenrichment · scidb cnkeyword-concept-rules@1.0.0title+description (65%)
concepts[modality].local:modality:imageenrichment · scidb cnkeyword-concept-rules@1.0.0title+description (75%)
concepts[modality].local:modality:remote-sensingenrichment · scidb cnkeyword-concept-rules@1.0.0title+description (65%)
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