Figshare
open access
CC BY 4.0
Mapping Complex Cropping Patterns in China (2018–2021) at 10 m Resolution: A Data-Driven Framework based on Multi-Product Integration and Google Satellite Embedding
agricultural-land-managementagricultural-land-planningcropping-systemland-use-and-environmental-planningremote-sensing
Mapping complex cropping patterns and temporal dynamics is of great significance for addressing the challenges faced by agricultural systems. However, in China, annual nationwide maps depicting multiple crops and rotation sequences are still lacking. In this study, we developed a data-d
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.
2026-10-25T10:01:46Z https://api.figshare.com/v2/oai The request includes illegal arguments, is missing required arguments, includes a repeated argument, or values for arguments have an illegal syntax.
Related documents
- Topologically Consistent Agricultural Parcel Vectorization with Semantic-Guided Diffusion and Topology-Aware Polygonization#984437
- Nationwide annual agricultural land-use maps of Germany from 1990 to 2023 derived from satellite imagery.#1107449
- A dataset mapping the geographical distribution of past and present collective farmers’ stores in France#14253
- Spatial data infrastructure and algorithms for variable rate fertigation in precision agriculture / Alexander Steiger ; Gutachter: Ralf Bill, Görres Grenzdörffer, Abdul Mounem Mouazen, Patrick Ole Noack#814499
- Genome-Resolved Insights Into Phosphate-Solubilizing Bacteria From Wild Rice Rhizosphere Reveal Adaptive Strategies for Phosphorus Cycling Under Acid-Saline Stress in the Mekong Delta, Vietnam.#1091277
Record · ID 1440989 · SHA-256 915ea02cfe40e5b2
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