Results 21 to 30 of about 290 (136)

Assimilation of passive microwave vegetation optical depth in LDAS-Monde: a case study over the continental USA [PDF]

open access: yesBiogeosciences, 2022
The land data assimilation system, LDAS-Monde, developed by the research department of the French meteorological service (Centre National de Recherches Météorologiques – CNRM) is capable of well representing land surface variables (LSVs) from regional to
A. Mucia   +5 more
doaj   +1 more source

Regularized Dual-Channel Algorithm for the Retrieval of Soil Moisture and Vegetation Optical Depth From SMAP Measurements

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022
In August 2020, soil moisture active passive (SMAP) released a new version of its soil moisture and vegetation optical depth (VOD) retrieval products.
Julian Chaubell   +22 more
doaj   +1 more source

Satellite‐Observed Vegetation Responses to Intraseasonal Precipitation Variability

open access: yesGeophysical Research Letters, 2022
There is limited understanding of how vegetation responds to intraseasonal modes of rainfall variability despite their importance in many tropical regions.
Bethan L. Harris   +5 more
doaj   +1 more source

Sentinel-1 Cross Ratio and Vegetation Optical Depth: A Comparison over Europe

open access: yesRemote Sensing, 2020
Vegetation products based on microwave remote sensing observations, such as Vegetation Optical Depth (VOD), are increasingly used in a variety of applications.
Mariette Vreugdenhil   +7 more
doaj   +1 more source

Forest Canopy Changes in the Southern Amazon during the 2019 Fire Season Based on Passive Microwave and Optical Satellite Observations

open access: yesRemote 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
doaj   +1 more source

L-band vegetation optical depth as an indicator of plant water potential in a temperate deciduous forest stand [PDF]

open access: yesBiogeosciences, 2021
Vegetation optical depth (VOD) retrieved from microwave radiometry correlates with the total amount of water in vegetation, based on theoretical and empirical evidence.
N. M. Holtzman   +14 more
doaj   +1 more source

Changing climate and overgrazing are decimating Mongolian steppes. [PDF]

open access: yesPLoS ONE, 2013
Satellite observations identify the Mongolian steppes as a hotspot of global biomass reduction, the extent of which is comparable with tropical rainforest deforestation.
Yi Y Liu   +6 more
doaj   +1 more source

Statistical Downscaling Method for Vegetation Optical Depth Based on NDVI

open access: yes应用气象学报
The microwave vegetation index, known as vegetation optical depth (VOD), is a dimensionless vegetation index.VOD is an important parameter for retrieving soil moisture and surface biomass.
Wang Xinyu, Fang Shibo, Han Jiahao
doaj   +1 more source

A Method to Weaken Cloud Interference in Solar-Induced Chlorophyll Fluorescence (SIF) Reconstruction by Using Satellite VOD Observations

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Solar-induced chlorophyll fluorescence (SIF) satellite observations enable large-scale crop monitoring and yield assessment. Some optical vegetation indexes have been commonly used as predictors to reconstruct SIF.
Jiajia Ding   +3 more
doaj   +1 more source

Global changes in dryland vegetation dynamics (1988–2008) assessed by satellite remote sensing: comparing a new passive microwave vegetation density record with reflective greenness data [PDF]

open access: yesBiogeosciences, 2013
Drylands, covering nearly 30% of the global land surface, are characterized by high climate variability and sensitivity to land management. Here, two satellite-observed vegetation products were used to study the long-term (1988–2008) vegetation changes ...
N. Andela   +4 more
doaj   +1 more source

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