多源土地利用产品在黄土丘陵沟壑区的精度评估

陈乐; 卫伟

doi:10.13870/j.cnki.stbcxb.2024.03.024

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多源土地利用产品在黄土丘陵沟壑区的精度评估

更新时间：2025-03-12

- 多源土地利用产品在黄土丘陵沟壑区的精度评估
- Accuracy Assessment of Multi-source Land Use Products in the Loess Hilly and Gully Region
- 水土保持学报 2024年38卷第3期页码：177-186
- 作者机构：
  
  1. 中国科学院生态环境研究中心城市与区域生态国家重点实验室,北京,100085
  2. 中国科学院大学,北京,100049
  3. 陕西黄土高原地球关键带国家野外科学观测研究站,西安,710061
- 作者简介：
  
  [ "陈乐(1993—),女,甘肃张掖人,博士研究生,主要从事景观生态与生态遥感研究。E-mail:1113819261@qq.com" ]
- 基金信息：
  
  国家自然科学基金项目(U21A2011,41971129);国家重点研发计划项目(2022YFF1300403)
- DOI：10.13870/j.cnki.stbcxb.2024.03.024
  中图分类号： TP79
- 纸质出版：2024
- 稿件说明：
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陈乐, 卫伟. 多源土地利用产品在黄土丘陵沟壑区的精度评估[J]. 水土保持学报, 2024,38(3):177-186.

CHEN Le, WEI Wei. Accuracy Assessment of Multi-source Land Use Products in the Loess Hilly and Gully Region[J]. 2024, 38(3): 177-186.
陈乐, 卫伟. 多源土地利用产品在黄土丘陵沟壑区的精度评估[J]. 水土保持学报, 2024,38(3):177-186. DOI： 10.13870/j.cnki.stbcxb.2024.03.024.

CHEN Le, WEI Wei. Accuracy Assessment of Multi-source Land Use Products in the Loess Hilly and Gully Region[J]. 2024, 38(3): 177-186. DOI： 10.13870/j.cnki.stbcxb.2024.03.024.

摘要

[目的] 为评估多源土地利用产品在黄土丘陵沟壑区的精度。[方法] 以黄河二级支流关川河流域为例

基于高精度GCLUCC土地利用数据

从空间分布、面积特征、样本点精度和空间一致性4个方面评估空间分辨率为10

30 m的6种土地利用产品(WorldCover 10 m、ESRI 10 m、GLC_FCS30-2020、GlobleLand30、CNLUCC和CLCD)的准确性。GCLUCC数据是基于GF-2(0.8 m)、DEM(5 m)、野外采样点(6 400个)和Google Earth样本点(2 320个)

采用面向对象法和人工目视解译

空间分辨率为1 m

整体精度超过95%。[结果] (1)分类特征方面

多数产品能提取主要土地类别

但提取效率和准确度存在明显差异

特别是在耕地、林地和建设用地等地类的空间分布上。(2)面积一致性上

各产品与GCLUCC在不同地类的面积上存在显著差异。部分产品的草地面积是GCLUCC的2倍以上

而林地和水域面积仅占GCLUCC的0.13%~12.11%和1.41%~11.27%。(3)整体精度方面

GlobleLand30和WorldCover 10 m展现较高精度

空间图谱精度分别达到58.21%和50.19%。而CLCD和CNLUCC的准确性相对较低

其中

林地与草地、耕地与草地及建设用地与耕地间的分类混淆严重。(4)所有产品与实际地表间的空间误差显著

尤其在对乔木、灌木、裸地和水体分类上面临挑战。[结论] 当前土地利用产品在黄土丘陵沟壑区精确表征地表覆盖特征方面存在挑战。未来的产品开发应更多地考虑地形和地理特征

并加强对特定土地利用类型的识别。研究结果可为黄土高原生态保护和地表信息获取提供理论参考。

Abstract

[Objective] The study was aimed to assess the accuracy of multi-source land use products in the loess hilly and gully regions. [Method] Using the Guanchuan River Basin

a secondary tributary of the Yellow River

as a case study

this research evaluated the accuracy of six land use products with spatial resolutions of 10 and 30 m (WorldCover 10 m

ESRI 10 m

GLC_FCS30-2020

GlobleLand30

CNLUCC

and CLCD). The evaluation was based on high-precision GCLUCC land use data and focused on four aspects: spatial distribution

area characteristics

sample point accuracy

and spatial consistency. The GCLUCC data

with a spatial resolution of 1 m and an overall accuracy exceeding 95%

was derived from GF-2 (0.8 m)

DEM (5 m)

6 400 field sampling points

and 2 320 Google Earth sample points

using an object-oriented approach and manual visual interpretation. [Results] (1) In terms of classification features

most products could extract major land categories

but significant differences in extraction efficiency and accuracy were evident

especially in the spatial distribution of arable land

forest land

and construction land. (2) Regarding area consistency

significant variations were found between each product and GCLUCC in terms of area of different land categories. For instance

the grassland area in some products was more than double that of GCLUCC

while forest and water areas were only 0.13%~12.11% and 1.41%~11.27% of GCLUCC

respectively. (3) In terms of overall accuracy

GlobleLand30 and WorldCover 10 m showed relatively higher accuracy

with spatial map accuracy reaching 58.21% and 50.19%

respectively. In contrast

CLCD and CNLUCC had relatively lower accuracy

with significant classification confusion between forest and grassland

arable and grassland

and construction and arable land. (4) Significant spatial discrepancies existed between all products and the actual ground cover

particularly in the classification of trees

shrubs

bare land

and water bodies. [Conclusion] Current land use products face challenges in accurately characterizing surface cover features in the loess hilly and gully regions. Future product development should consider topographical and geographical features more thoroughly and enhance the identification of specific land use types. These results can provide a theoretical reference for ecological conservation and land resource information acquisition in the Loess Plateau.

关键词

Keywords

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