Extracting cropping patterns from remotely sensed images in a mixed single-, double-, and triple-cropping region of Southern China.
- DOI
- 10.1007/s10661-026-15530-8
- Published
- 2026 Jun 6
- Container
- Environmental monitoring and assessment
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1007/s10661-026-15530-8,
title = {Extracting cropping patterns from remotely sensed images in a mixed single-, double-, and triple-cropping region of Southern China.},
author = {Li Y and Cheng C and Shi X and Chi H and Han Y and Zhao F and Huang J and Ling F},
year = {2026},
journal = {Environmental monitoring and assessment},
doi = {10.1007/s10661-026-15530-8},
url = {https://doi.org/10.1007/s10661-026-15530-8}
}RIS
TY - JOUR TI - Extracting cropping patterns from remotely sensed images in a mixed single-, double-, and triple-cropping region of Southern China. AU - Li Y AU - Cheng C AU - Shi X AU - Chi H AU - Han Y AU - Zhao F AU - Huang J AU - Ling F PY - 2026 JO - Environmental monitoring and assessment DO - 10.1007/s10661-026-15530-8 UR - https://doi.org/10.1007/s10661-026-15530-8 ER -
APA
Y, L., C, C., X, S., H, C., Y, H., F, Z., J, H., & F, L. (2026). Extracting cropping patterns from remotely sensed images in a mixed single-, double-, and triple-cropping region of Southern China.. Environmental monitoring and assessment. https://doi.org/10.1007/s10661-026-15530-8
Source records
- pubmed · retrieved 2026-09-25T21:40:49.314Z