环境科学
遥感
含水量
土地覆盖
算法
数学
地理
土地利用
地质学
工程类
岩土工程
土木工程
作者
Gerard Portal,M. Vall‐llossera,Thomas Jagdhuber,Adriano Camps,Míriam Pablos,María Piles
出处
期刊:International Geoscience and Remote Sensing Symposium
日期:2021-07-11
卷期号:: 6186-6189
被引量:2
标识
DOI:10.1109/igarss47720.2021.9553132
摘要
Incidence angle diversity of space-borne L-band radiometers needs to be taken into account for a consistent estimation of surface soil moisture (SM). In this study, the Land Parameter Retrieval Model (LPRM) is applied to SMOS brightness temperatures to calibrate the effective scattering albedo (w) and the soil roughness (h 1 ) parameter against ERA5-land SM. The analysis is carried out for SMOS data at three different incidence angles ( $32.5\pm 5^{\circ},\ 42.5\pm 5^{\circ}$ and $52.5\pm 5^{\circ}$ ) focusing in 2016 on the three main land cover types of the Iberian Peninsula according to the Climate Change Initiative (agricultural, forest and grassland). The parameterization shows an increasing trend of w and h 1 with rise of incidence angle. The SM retrieval have been evaluated with in situ SM measurements of the REMEDHUS network on rainfed crop fields. Both compare well at the three incidence angles, obtaining high correlations (0.81-0.85), an ubRMSE around 0.04 m 3 m −3 and low bias (0-0.015 m 3 m −3 ).
科研通智能强力驱动
Strongly Powered by AbleSci AI