Europe PMC
metadata only
CC BY-NC-ND 4.0
Using GeoAI and machine learning tools for consistent high-resolution land cover mapping based on time-series NAIP imagery
abstract available
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Monitoring and simulating landscape changes: how do long-term changes in land use and long-term average climate affect regional biophysical conditions in southern Malawi?#1002141
- A framework to evaluate and identify development requirements for land‐surface models at km‐scale resolution: Application to a semi‐arid and mountainous region#291699
- Improving the spatio-temporal characterisation of South Africa's dynamic coastal zone using hyper-temporal satellite imagery#428733
- UniBuild: Unified Building Mapping From Multi-Source Optical Remote Sensing Imagery With Detail Decoding and Geometry Regularization#1132232
- Multi-temporal and multi-source Landsat satellite images for sand study evolution and risks in commune Antanambao district Marovoay of Madagascar#301344
Record · ID 1250404
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive