Accurate extraction of crop planting types in Southwest mountainous areas based on hierarchical extraction

Jinzhong Zhang; Xiaowei Qin; Lin Li; Xueyan Li; Fengxuan Li

doi:10.1117/12.3010273

15 November 2023 Accurate extraction of crop planting types in Southwest mountainous areas based on hierarchical extraction

Jinzhong Zhang, Xiaowei Qin, Lin Li, Xueyan Li, Fengxuan Li

Author Affiliations +

Proceedings Volume 12815, International Conference on Remote Sensing, Mapping, and Geographic Systems (RSMG 2023); 1281523 (2023) https://doi.org/10.1117/12.3010273
Event: International Conference on Remote Sensing, Mapping, and Geographic Systems (RSMG 2023), 2023, Kaifeng, China

Abstract

The spatial distribution of crop planting structure plays a crucial role in reflecting the layout and arrangement of farmland, making it highly significant for the advancement of precision agriculture and agricultural resource inventory. The extraction of crop planting structure through remote sensing satellite earth observation technology serves as a fundamental pillar for the development of precision agriculture informatization. This study focuses on the application of precision agricultural remote sensing in monitoring complex mountainous regions, employing the cognitive theory of remote sensing atlas to support the process. By integrating high-spatial resolution satellite images, medium-resolution time series satellite images, and ground observation data, a hierarchical zoning approach was developed, using farmland parcels as the basic spatial unit for crop type identification. A case study was conducted in Wushan County, Chongqing, serving as a demonstration zone. Vegetation indexes and phenological indexes were extracted by combining the high spatial resolution of GF satellites with the temporal resolution of middle-resolution satellite images. Subsequently, a multi-feature crop identification model at the parcel scale was constructed, facilitating the precise extraction of crop planting types in the southwest mountainous areas.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

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Jinzhong Zhang, Xiaowei Qin, Lin Li, Xueyan Li, and Fengxuan Li "Accurate extraction of crop planting types in Southwest mountainous areas based on hierarchical extraction", Proc. SPIE 12815, International Conference on Remote Sensing, Mapping, and Geographic Systems (RSMG 2023), 1281523 (15 November 2023); https://doi.org/10.1117/12.3010273

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KEYWORDS

Remote sensing

Vegetation

Phenology

Agriculture

Satellites

Earth observing sensors

Feature extraction

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