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Remote Sensing of Environment
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8.22
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8085
Papers 8326
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#1Hongying Jia (CAS: Chinese Academy of Sciences)
#2Yingjie Wang (CAS: Chinese Academy of Sciences)H-Index: 2
Last. Robert Wang (CAS: Chinese Academy of Sciences)H-Index: 29
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Abstract Synthetic aperture radar (SAR) remote sensing is a potential technique for long-term monitoring of landslide-prone areas. Pixel offset tracking methods work well for fast-moving landslides (more than tens of cm/yr). However, existing methods may present some limitations, such as (i) a high dependence of estimation window design on experience, (ii) a tradeoff between the accuracy of single points and the overall efficiency, and (iii) a low confidence in the results caused by heterogeneou...
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#1Guanheng Zheng (THU: Tsinghua University)H-Index: 2
#2Yang Yi (THU: Tsinghua University)H-Index: 37
Last. Ruijie Shi (THU: Tsinghua University)
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Abstract The changing climate is affecting the frozen soil at an unprecedented rate across the Northern Hemisphere. However, due to sparse ground measurements, the changes of frozen soil and the environmental controls over the vast cryosphere are still unclear, such as in the Tibetan Plateau (TP). In this study, a process-based model solely driven by satellite remote sensing data is employed to investigate the spatiotemporal changes of seasonally frozen ground and permafrost over the entire TP (...
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#1Wei Zhao (CAS: Chinese Academy of Sciences)H-Index: 11
Abstract There is considerable demand for satellite observations that can support spatiotemporally continuous mapping of land surface temperature (LST) because of its strong relationships with many surface processes. However, the frequent occurrence of cloud cover induces a large blank area in current thermal infrared-based LST products. To effectively fill this blank area, a new method for reconstructing the cloud-covered LSTs of Terra Moderate Resolution Imaging Spectroradiometer (MODIS) dayti...
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#1Haojie Li (CAS: Chinese Academy of Sciences)H-Index: 1
#2Hongyi Li (CAS: Chinese Academy of Sciences)H-Index: 12
Last. Xiaohua Hao (CAS: Chinese Academy of Sciences)H-Index: 6
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Abstract River ice monitoring is important for hydrological research and water resource management of the Tibetan Plateau but limited by the serious shortage of field observations, and remote sensing can be used as an effective supplementary means for monitoring river ice. However, remote sensing high-altitude river ice is scarce and a basin-scale understanding of river ice is lacking on the Tibetan Plateau. To ascertain the spatial and temporal distribution characteristics of high-altitude rive...
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#1Lei Li (university of lille)H-Index: 1
#2Huizheng CheH-Index: 35
Last. Xiaoye ZhangH-Index: 37
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Abstract A new aerosol component approach that infers aerosol species fractions from satellite observations was developed and incorporated by Li et al. (2019) into Generalized Retrieval of Aerosol and Surface Properties (GRASP) algorithm. In the current work we employ this aerosol component approach for derivation and analysis of temporal and spatial characteristics of black and brown carbon (BC and BrC) concentrations in East and South Asia using POLDER/PARASOL satellite observations during 200...
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#1T. M. Logan (Cant.: University of Canterbury)
#2Benjamin F. Zaitchik (Johns Hopkins University)H-Index: 25
Last. Aj NisbetH-Index: 1
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Abstract The characteristics of urban land surfaces contribute to the urban heat island, and, in turn, can exacerbate the severity of heat wave impacts. However, the mechanisms and complex interactions in urban areas underlying land surface temperature are still being understood. Understanding these mechanisms is necessary to design strategies that mitigate land temperatures in our cities. Using the recently available night-time moderate-resolution thermal satellite imagery and employing advance...
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#1David R. Thompson (California Institute of Technology)H-Index: 35
#2Amy J. Braverman (California Institute of Technology)H-Index: 9
Last. Longlei Li (Cornell University)H-Index: 1
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Abstract Remote surface measurements by imaging spectrometers play an important role in planetary and Earth science. To make these measurements, investigators calibrate instrument data to absolute units, invert physical models to estimate atmospheric effects, and then determine surface properties from the spectral reflectance. This study quantifies the uncertainty in this process. Global missions demand predictive uncertainty models that can estimate future errors for varied environments and obs...
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#1Bangyu Ge (CAS: Chinese Academy of Sciences)H-Index: 1
#2Xiaodong Mei (CAS: Chinese Academy of Sciences)
Last. Y. Wei (CAS: Chinese Academy of Sciences)H-Index: 3
view all 9 authors...
Abstract The fine-mode aerosols (FMA), generally generated from anthropogenic sources, play an essential role in global radiation balance, climate change, atmospheric environment, and human health. However, the FMA retrieval remains a challenge. An improved high resolution FMA retrieval algorithm based on the Spectral Neutrality of Surface Polarized Reflectance (SNOSPR) was developed using polarized satellite data. SNOSPR utilizes a lookup table approach to simultaneously retrieve high spatial r...
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#1Peiqi Yang (UT: University of Twente)H-Index: 4
#2Christiaan van der Tol (UT: University of Twente)H-Index: 17
Last. Wout Verhoef (UT: University of Twente)H-Index: 32
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Abstract Radiative transfer models (RTMs) of vegetation canopies can be applied for the retrieval of numerical values of vegetation properties from satellite data. For such retrieval, it is necessary first to apply atmospheric correction to translate the top-of-atmosphere (TOA) satellite data into top-of-canopy (TOC) values. This atmospheric correction typically assumes a Lambertian surface reflection, which introduces errors if the real surface is non-Lambertian. Furthermore, atmospheric correc...
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#1Ryan Vandermeulen (GSFC: Goddard Space Flight Center)H-Index: 5
#2Antonio Mannino (GSFC: Goddard Space Flight Center)H-Index: 22
Last. P. Jeremy Werdell (GSFC: Goddard Space Flight Center)H-Index: 24
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Abstract This article proposes a simple and intuitive classification system by which to define full spectral remote sensing reflectance (Rrs(λ)) data with a quantitative output that enables a more manageable handling of spectral information for aquatic science applications. The weighted harmonic mean of the Rrs(λ) wavelengths outputs an Apparent Visible Wavelength (in units of nanometers), representing a one-dimensional geophysical metric of color that is inherently correlated to spectral shape....
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Top fields of study
Geology
Normalized Difference Vegetation Index
Vegetation
Satellite
Hydrology
Remote sensing