Monitoring vegetation condition using microwave remote sensing: the standardized vegetation optical depth index (SVODI) [PDF]
Biogeosciences, 2022 Vegetation conditions can be monitored on a global scale using remote sensing observations in various wavelength domains. In the microwave domain, data from various spaceborne microwave missions are available from the late 1970s onwards.
L. Moesinger +5 more
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IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023 Vegetation optical depth (VOD) has contributed to monitor vegetation dynamics and carbon stocks at different microwave frequencies. Nevertheless, there is a need to determine which are the appropriate frequencies to monitor different vegetation types ...
Claudia Olivares-Cabello +4 more
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The global long-term microwave Vegetation Optical Depth Climate Archive (VODCA) [PDF]
Earth System Science Data, 2020 Since the late 1970s, space-borne microwave radiometers have been providing measurements of radiation emitted by the Earth’s surface. From these measurements it is possible to derive vegetation optical depth (VOD), a model-based indicator related to the ...
L. Moesinger +6 more
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SMOS L-VOD Retrieved by Level 2 Algorithm and its Correlation With GEDI LIDAR Products
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021 In this article, L-band vegetation optical depth (L-VOD) retrieved by Soil Moisture and Ocean Salinity (SMOS) in four large continents is compared against vegetation parameters (RH100 and PAI) retrieved by Global Ecosystem Dynamics Investigation (GEDI ...
Cristina Vittucci +4 more
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Assimilation of vegetation optical depth retrievals from passive microwave radiometry [PDF]
Hydrology and Earth System Sciences, 2020 Vegetation optical depth (VOD) retrievals from passive microwave sensors provide analog estimates of above-ground canopy biomass. This study presents the development and analysis of assimilating VOD retrievals from X-, C-, and L-band passive microwave ...
S. V. Kumar +4 more
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EVALUATION OF MICROWAVE VEGETTION INDEX (MVI) IN MULTI-FREQUENCY AND MULTI-ANGLE [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2017 Microwave portion of the electromagnetic spectrum are effective for observations of vegetation not only to leaf but also woody parts of vegetation. Specifically, microwave emissivity varies strongly with surface roughness, polarization, look–angle and ...
S. Talebi +5 more
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Comparing retrieved optical depth from a high-order model and a zero-order model and analyzing their relationship with vegetation properties [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information SciencesOptical depth is significant key vegetation parameters in the study of vegetation canopy. Until now efforts have been made to estimate optical depth by fitting sensors brightness temperature to a zero-order model (τ-ω model).
S. Talebiesfandarani
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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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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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