Development of soil moisture indices from differences in water absorption between shortwave-infrared bands
Development of soil moisture indices from differences in water absorption between shortwave-infrared bands
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根据短波红外波段吸水率的差异制定土壤湿度指数
DOI：
10.1016/j.isprsjprs.2019.06.012
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发表时间：
2019-08
影响因子：
12.7
通讯作者：
Xu Nianxu
中科院分区：
文献类型：
--
作者：
Yue Jibo;Tian Jia;Tian Qingjiu;Xu Kaijian;Xu Nianxu
土壤水分通过蒸发和植物蒸腾控制着地表与大气之间的水热交换，及时准确地估算土壤水分是许多研究的关键。虽然遥感提供了许多算法来获得大尺度上的裸土水分（例如，土壤水分和海洋盐度（SMOS）和土壤水分主动和被动（SMAP）产品），这些算法仅限于低地面分辨率的研究。在本研究中，我们提出并评估了三个归一化短波红外（SWIR）差异裸露土壤水分指数[NSDSI 1 =（BSWIR1-BSWIR2）/BSWIR1，NSDSI2 =（BSWIR1− BSWIR2）/BSWIR2，NSDSI3 =（BSWIR1− BSWIR2）/（BSWIR 1 + BSWIR 2），其中，SWIR 1 = 1550-1750 nm，SWIR 2 = 2100-2300 nm]估算裸土含水量，基于短波-红外波段之间的吸水性差异，使用它们与高地面分辨率Sentinel-2 MSI图像一起绘制倮地土壤水分图。利用短波-红外波段的不同吸水率，得到了三个建议的裸地水分指数。4种传统的基于高光谱的裸地水分指数（如水分指数SOIL或WISOIL、归一化土壤水分指数或NSMI等）作为基准。结果表明：（1）短波-红外波段的吸水率差异与土壤含水量呈线性关系;（ii）结合使用来自四种土壤的两个短波-红外波段比单一短波-红外（SWIR）波段提供更准确的裸地水分估计，以及（iii）我们提出的裸地水分指数可以应用于宽带遥感图像（例如Landsat、Sentinel-2 MSI）。利用提出的裸土湿度指数估计裸土湿度，有助于获得高地面分辨率的裸土湿度图。
Soil moisture (SM) controls the exchange of water and heat energy between the land surface and the atmosphere through evaporation and plant transpiration, and timely and accurate estimates of soil moisture are crucial for many studies. Although remote sensing provides many algorithms to obtain bare-soil moisture on large scales (e.g., Soil Moisture and Ocean Salinity (SMOS) and Soil Moisture Active and Passive (SMAP) products), these algorithms are restricted to studies with low ground resolution. In the present study, we propose and evaluate three normalized shortwave-infrared (SWIR) difference bare soil moisture indices [NSDSI1 = (BSWIR1-BSWIR2)/BSWIR1, NSDSI2 = (BSWIR1− BSWIR2)/BSWIR2, NSDSI3 = (BSWIR1− BSWIR2)/(BSWIR1+ BSWIR2), where, SWIR1 = 1550–1750 nm, SWIR2 = 2100–2300 nm] to estimate the bare-soil moisture content and, based on the water absorption difference between shortwave-infrared bands, use them to map bare-soil moisture with high ground resolution Sentinel-2 MSI images. The three proposed bare-soil moisture indices are obtained by using the different water absorption in shortwave-infrared bands. Four traditional hyperspectral-based bare-soil moisture indices (such as the water index SOIL, or WISOIL, the normalized soil moisture index, or NSMI, etc.) were used as benchmark. The results show that (i) the differences in water absorption between shortwave-infrared bands is linear in soil moisture content; (ii) the combined use of two shortwave-infrared bands from four soils provides more accurate bare-soil moisture estimates than do single shortwave-infrared (SWIR) bands, and (iii) our proposed bare-soil moisture indices can be applied on broadband remote-sensing images (such as Landsat, Sentinel-2 MSI). The bare-soil moisture estimates obtained by using the proposed bare-soil moisture indices may help to obtain bare-soil moisture maps with high ground resolution.
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影响因子：
6.7
作者：
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通讯作者：
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DOI：
10.1016/j.isprsjprs.2019.03.013
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影响因子：
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DOI：
10.1016/j.isprsjprs.2018.11.026
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2019-01-01
影响因子：
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作者：
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