Scholarlink

<p>High-resolution cropland data are essential for regional agricultural research, particularly in Xizang, China, where fragmented landscapes and complex cropping systems require accurate monitoring of crop distribution, yield estimation, and land management planning. This study presents the first parcel-level cropland dataset for Xizang, generated by a deep learning-based field extraction model and high-resolution Google Earth imagery. Field validation of the dataset with 155 UAV samples showed 90% area matching accuracy, and cross-comparison with two existing cropland products of Xizang also showed strong linear correlations (R<sup>2</sup> = 0.87 and 0.90). The dataset contains 1,072,110 individual parcels, totaling approximately 290,721.35 ha, mainly concentrated in the Three River Region (28°–31°N, 87°–92°E), with larger parcels (&gt;0.5 ha) constituting the majority of cultivated area. Additionally, the field shape indicators are further calculated and provided, including main direction, regularity, and contiguity. This dataset offers critical insights into Xizang’s fine-scale cropland patterns and can serve as a foundation for parcel-level agricultural monitoring, land-use planning, and policy formulation.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

A parcel-level cropland dataset with field shape indicators for Xizang (Tibet) from VHR remote sensing

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年11月14日

查看全文
  • Chuya Wang,
  • Xiaoyan Wang,
  • Yi Jiang,
  • Shuaijun Liu,
  • Fangyuan Jin,
  • Zhangcheng Li,
  • Lai Wei,
  • Xiuchun Dong,
  • Yuqiao Long,
  • Si Wang,
  • Ping Huang,
  • Yimei Wang,
  • Jin Chen

摘要

High-resolution cropland data are essential for regional agricultural research, particularly in Xizang, China, where fragmented landscapes and complex cropping systems require accurate monitoring of crop distribution, yield estimation, and land management planning. This study presents the first parcel-level cropland dataset for Xizang, generated by a deep learning-based field extraction model and high-resolution Google Earth imagery. Field validation of the dataset with 155 UAV samples showed 90% area matching accuracy, and cross-comparison with two existing cropland products of Xizang also showed strong linear correlations (R2 = 0.87 and 0.90). The dataset contains 1,072,110 individual parcels, totaling approximately 290,721.35 ha, mainly concentrated in the Three River Region (28°–31°N, 87°–92°E), with larger parcels (>0.5 ha) constituting the majority of cultivated area. Additionally, the field shape indicators are further calculated and provided, including main direction, regularity, and contiguity. This dataset offers critical insights into Xizang’s fine-scale cropland patterns and can serve as a foundation for parcel-level agricultural monitoring, land-use planning, and policy formulation.