干旱区地理2025，Vol.48Issue(3)：455-466,12.DOI:10.12118/j.issn.1000-6060.2024.169
结合光学与雷达遥感的张家口坝上地区作物残茬生物量估算
Estimation of crop stubble biomass in the Bashang region of Zhangjiakou by combining optics and radar remote sensing
摘要
Abstract
Non-photosynthetic vegetation,such as crop stubble,plays a crucial role in material cycling and ener-gy flow in arid and semi-arid ecosystems.It also significantly contributes to inhibiting soil erosion,retaining soil moisture,and promoting soil development.The Bashang region of Zhangjiakou Hebei Province,China is a core area for the ecological construction of Beijing-Tianjin sandstorm control and the development of the two capital areas.Estimating crop stubble biomass in this region using remote sensing is essential for evaluating regional wind erosion,the ecological environment,and the carbon and nitrogen cycles.This study utilized measured crop stubble biomass,Sentinel-2 optical images,and Sentinel-1 radar images to construct optical and radar remote sensing indices of crop stubble.Using optimal index normalization and multiple linear stepwise regression analy-sis,an estimation model combining optical and radar remote sensing was developed to calculate and analyze crop stubble biomass in the Bashang region from 2017 to 2023.The results show that:(1)Among the optical remote sensing indices,the RI(11,12)index,derived from Sentinel-2 short-wave infrared bands(B11 and B12),showed the highest correlation with crop stubble biomass,with a determination coefficient(R2)of 0.744.For radar remote sensing indices,the cross-polarization(VH)backscattering coefficient had the highest correlation with crop stub-ble biomass,achieving an R2 of 0.409.(2)The multivariate linear stepwise regression model demonstrated the highest accuracy,with an R2 of 0.796 and a root mean square error(RMSE)of 8.84 g·m-2,making it a reliable predictor of crop stubble biomass.(3)The estimation model incorporating both optical and radar remote sensing indices improved prediction accuracy by approximately 9.72%compared to optical remote sensing alone and by 66.74%compared to radar remote sensing alone.(4)From 2017 to 2023,the average annual crop stubble biomass in the Bashang region was 23.74×104 t,exhibiting a fluctuating downward trend.Annual variations in crop stub-ble biomass were influenced by air temperature and precipitation,while changes in planting structures driven by land transfer policies were a significant factor contributing to the decline in recent years.关键词
作物残茬/生物量/光学遥感/雷达遥感/张家口坝上Key words
crop stubble/biomass/optical remote sensing/radar remote sensing/the Bashang region of Zhangjiakou引用本文复制引用
于凯昕,李继峰,甄天乐,张夏蕾,李慧茹,郭中领,常春平,赵雪晴..结合光学与雷达遥感的张家口坝上地区作物残茬生物量估算[J].干旱区地理,2025,48(3):455-466,12.基金项目
国家自然科学基金项目(41901001,42271002) （41901001,42271002）
河北省高等教育教学改革研究项目(2019GJJG140)资助 （2019GJJG140）
