热带泥炭地水文动态影响c波段小基线子集InSAR方法的有效性

IF 11.4 1区 地球科学 Q1 ENVIRONMENTAL SCIENCES
Magdalena M. Mleczko , Kitso Kusin , Teuntje P. Hollaar , Mark E. Harrison , Nomeritae Nomeritae , Darmae Nasir , Marek S. Mróz , F.J. Frank van Veen , Muhammad A. Imron , A. Jonay Jovani-Sancho , Chris D. Evans , Adi Jaya , Karen Anderson
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引用次数: 0

摘要

热带泥炭地储存了全球泥炭量的18 - 25%,对全球碳循环做出了重大贡献。为了平衡热带泥炭地的保存和保护,需要对其生态水文条件进行评估,并在不同季节进行持续监测。使用现场采样实现这一目标具有挑战性,但由于c波段Sentinel-1数据与天气无关,特别是与L和p波段电流传感器相比,其获取能力和空间/时间分辨率更高,因此使用c波段Sentinel-1数据具有很大的前景。承认使用c波段Sentinel-1数据的小基线子集(SBAS)干涉测量法先前已被证明可用于检索泥炭地地表位移,但SAR信号的振幅和相位依赖于地表水文;仍然存在一个关键问题,即SBAS方法的有效性本身对地表水文条件的敏感程度。这在热带泥炭地是一个特别的方法论问题,因为显著降雨事件引起动态变化的水文条件,可能导致地下水位(GWL)从1米变化到- 2米。利用合成孔径雷达(SAR) 2017-2022年期间的观测数据,研究区位于印度尼西亚加里曼丹中部的低地。我们使用了sbas导出的地面位移,并将其与从当地监测点网络获得的地下水位(GWL)和泥炭地表高程进行了比较。我们的工作表明,主要的水文条件会影响使用c波段SAR数据的SBAS方法的面积效率。当雨季地表水在地表以上大量泛滥时,这种一致性不会持续很长时间。这与旱季相反,在较长的收购间隔中保持一致性。此外,sbas导出的位移与原位泥炭地表和地下水位测量值之间的相关值范围在旱季大于湿润和整个水文年。我们发现,由于c波段SAR的限制,即水体的体积散射机制和/或信号相干性的丧失,SBAS方法可以在测试区域(391至826 km2)的泥炭土上反演34.4%至59.8%的地表位移,不包括茂密森林和开阔水域。我们表明,要确定地表以上水位的变化,必须满足适当的水文条件。由于波长的限制,可能无法检测到过大的水位波动,而且由于这种方法的特殊性质,可能会滤除或去除假设的线性模型中的异常值。这些发现为sentinel - 1c波段SAR在热带泥炭地生态水文条件监测中的应用奠定了基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Tropical peatland hydrological dynamics affect the efficacy of C-band Small BAseline Subset InSAR approaches
Tropical peatlands storing ∼18–25 % of global peat volume contribute significantly to the global carbon cycle. To balance preservation and protection of tropical peatlands requires assessment of their ecohydrological conditions and continuous monitoring through seasons. This is challenging to achieve using in situ sampling, but there is a great promise to use C-band Sentinel-1 data for this due to its weather-independence, and particularly its increased acquisition capacity and spatial/temporal resolution compared to L- and P-band current sensors. Acknowledging that Small BAseline Subset (SBAS) Interferometry using C-Band Sentinel-1 data has been shown previously to be useful for retrieving peatland surface displacement, but also that the amplitude and phase of the SAR signal are dependent on surface hydrology; there remains a critical question about the extent to which the efficacy of SBAS approaches is themselves sensitive to surface hydrological conditions. This is a particular methodological concern in tropical peatlands due to the dynamically changing hydrological conditions arising from significant rainfall events, which can cause groundwater level (GWL) to vary from 1 m to −2 m. The research area was situated in lowland Central Kalimantan (Indonesia) using Synthetic Aperture Radar (SAR) observations from the 2017–2022 period. We used SBAS-derived ground displacements and compared to groundwater level (GWL) and peat surface elevation acquired from local networks of monitoring sites. Our work shows that the prevailing hydrological condition affects the area efficacy of the SBAS approach using C-band SAR data. When surface water significantly floods above the ground surface during the wet season, the coherence is not sustained for a long time. This is the opposite of the dry season, when coherence is preserved in longer intervals between acquisitions. Additionally, the range of correlation values between SBAS-derived displacements and in-situ peat surface and ground water table measurements is higher for the dry season than for the wet and whole hydrological year. We show that the SBAS approach can retrieve surface displacement for 34.4 % to 59.8 % on the peat soils of the tested area (391 to 826 km2), excluding areas of dense forests and open water, due to C-band SAR limitations, i.e. volume scattering mechanism and/or loss of signal coherence on water bodies. We show that appropriate hydrological conditions must be met to determine the change in water level above the ground surface. Too large fluctuations in water level may not be detected because of wavelength limitations, and outliers from the assumed linear model may be filtered out or removed due to the specific properties of this approach. These findings underpin the application of Sentinel-1C-band SAR for monitoring tropical peatlands' ecohydrological conditions.
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来源期刊
Remote Sensing of Environment
Remote Sensing of Environment 环境科学-成像科学与照相技术
CiteScore
25.10
自引率
8.90%
发文量
455
审稿时长
53 days
期刊介绍: Remote Sensing of Environment (RSE) serves the Earth observation community by disseminating results on the theory, science, applications, and technology that contribute to advancing the field of remote sensing. With a thoroughly interdisciplinary approach, RSE encompasses terrestrial, oceanic, and atmospheric sensing. The journal emphasizes biophysical and quantitative approaches to remote sensing at local to global scales, covering a diverse range of applications and techniques. RSE serves as a vital platform for the exchange of knowledge and advancements in the dynamic field of remote sensing.
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