Results 21 to 30 of about 5,842 (246)
Retrieval of Forest Water Potential from L-Band Vegetation Optical Depth
2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 2021 A retrieval methodology for forest water potential from ground-based L-band radiometry is proposed. It contains the estimation of the gravimetric and the relative water content of a forest stand and tests in situ- and model-based functions to transform these estimates into forest water potential.
Jagdhuber, T. +11 more
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THEORETICAL MODELLING STUDY ON THE RELATIONSHIP BETWEEN MULTI-FREQUENCY MICROWAVE VEGETATION INDEX AND VEGETATION PROPERTIES (OPTICAL DEPTH AND SINGLE SCATTERING ALBEDO) [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2018 This paper presents a theoretical study of derivation Microwave Vegetation Indices (MVIs) in different pairs of frequencies using two methods. In the first method calculating MVI in different frequencies based on Matrix Doubling Model (to take in to ...
S. Talebi, J. Shi, T. Zhao
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Continuous ground monitoring of vegetation optical depth and water content with GPS signals [PDF]
Biogeosciences, 2023 Satellite microwave remote sensing techniques can be used to monitor vegetation optical depth (VOD), a metric which is directly linked to vegetation biomass and water content.
V. Humphrey +3 more
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Remote Sensing, 2021 Vegetation phenology is a key ecosystem characteristic that is sensitive to environmental conditions. Here, we examined the utility of soil moisture (SM) and vegetation optical depth (VOD) observations from NASA’s L-band Soil Moisture Active Passive ...
Bonan Li +2 more
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Vegetation Optical Depth for Amazonia
, 2021 Vegetation optical depth (VOD) is a vegetation attenuation parameter for retrieving soil moisture, which is linearly correlated with vegetation water content and above-ground biomass comprising the leaf and woody parts. The VOD were derived from passive microwave 6.93 GHz observations of the Advanced Microwave Scanning Radiometer 2.
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Characterizing natural variability in complex hydrological systems using passive microwave-based climate data records: a case study for the Okavango Delta [PDF]
Hydrology and Earth System Sciences, 2022 The Okavango River system in southern Africa is known for its strong interannual variability of hydrological conditions. Here, we present how this is exposed in surface soil moisture, land surface temperature, and vegetation optical depth as derived from
R. van der Schalie +5 more
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Remote Sensing, 2021 Canopy dynamics associated with fires in tropical forests play a critical role in the terrestrial carbon cycle and climate feedbacks. The aim of this study was to characterize forest canopy dynamics in the southern Amazon during the 2019 fire season ...
Huixian Zhang +3 more
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Remote Sensing, 2021 The detection of global land change via satellite observation is a major challenge in improving the understanding of global environmental change. In this study, we develop a new vegetation index which can be used as a proxy for the fractions of tree ...
Hideharu Nara, Yohei Sawada
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Journal of Freshwater Ecology, 2022 From 2018 to 2019, a survey of a typical lakes system in the Taihu Lake basin, China, was carried out. To provide reference values for the restoration and management of submerged vegetation in the lakes, the optical attenuation coefficient (Kd) and ...
Weixiang Ren +5 more
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Characterizing the channel dependence of vegetation effects on microwave emissions from soils
Geo-spatial Information ScienceThe two vegetation transfer parameters of [Formula: see text] (Vegetation Optical Depth,VOD) and [Formula: see text] (Omega) could vary significantly across microwave channels in terms of frequencies, polarizations, and incidence angles, and their ...
Jiaqi Zhang +7 more
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