Results 31 to 40 of about 1,323 (182)

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

Biogeosciences, 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, L. D. L. Anderegg, L. D. L. Anderegg, S. Kraatz, A. Mavrovic, O. Sonnentag, C. Pappas, M. H. Cosh, A. Langlois, T. Lakhankar, D. Tesser, N. Steiner, A. Colliander, A. Roy, A. G. Konings   +14 more
doaj   +1 more source

The Unstable Relationship Between Drought Status and Leaf Water Content Complicates the Remote Sensing of Tree Drought Stress. [PDF]

Glob Chang Biol
Remote sensing can monitor plant drought stress across ecosystems but is limited by uncertain links between physiological stress and measurements of water content. We examined how water potential and water content, measured in the field, laboratory, and via airborne imaging, vary over time and space in two oak species.
Boving I, Allen J, Brodrick PG, Chadwick KD, Trugman A, Anderegg LDL.   +5 more
europepmc   +2 more sources

Human population growth offsets climate-driven increase in woody vegetation in sub-Saharan Africa [PDF]

, 2017
The rapidly growing human population in sub-Saharan Africa generates increasing demand for agricultural land and forest products which presumably leads to deforestation.
Brandt, Martin, Peñuelas, Josep, Rasmussen, Kjeld, Verger, Aleixandre   +3 more
core   +2 more sources

Satellite and in situ observations for advancing global Earth surface modelling: a review [PDF]

, 2018
In this paper, we review the use of satellite-based remote sensing in combination with in situ data to inform Earth surface modelling. This involves verification and optimization methods that can handle both random and systematic errors and result in ...
Amante, Andy Brown, Anna Agusti-Panareda, Anton Beljaars, Balsamo, Ben Ruston, Betts, Buizza, Buizza, Calvet, Carlo Buontempo, Clement Albergel, Cristina Lupu, Cronin, De Rosnay, Duhovny, Dutra, Dutra, Eleanor Blyth, Emanuel Dutra, Erko, Fischer, Florence, Florence Rabier, Florian Pappenberger, Frankenberg, Frédéric Chevallier, Gabriele Arduini, Gianpaolo Balsamo, Guanter, Hannah Cloke, Hastings, Helene Hewitt, Irina Sandu, Isabel F. Trigo, Jean Bidlot, Jean-François Mahfouf, Joaquín Muñoz-Sabater, Joe McNorton, Kourzeneva, Kristian Mogensen, Lindstrom, Liu, Lumpkin, Mahanama, Margarita Choulga, Matthias Drusch, Meghan F. Cronin, Michael B. Ek, Mironov, Mohamed Dahoui, Nicolas Bousserez, Nils Wedi, O’Neill, Patricia De Rosnay, Paul A. Dirmeyer, Pierre Gentine, Puma, R. Iestyn Woolway, Reichle, Remko Uijlenhoet, Rene Orth, Roberto Buizza, Rolf Reichle, Rutter, Salisbury, Samuelsson, Sarah P.E. Keeley, Seneviratne, Slingo, Smith, Sobocinski-Norton, Sonia I. Seneviratne, Souhail Boussetta, Steffen Tietsche, Sujay Kumar, Susanne Mecklenburg, Van den Hurk, Wisser, Xubin Zeng, Yann Kerr, Zuo   +81 more
core   +7 more sources

Sensitivity of TDS-1 GNSS-R reflectivity to soil moisture: global and regional differences and impact of different spatial scales [PDF]

, 2018
The potential of Global Navigation Satellite Systems-Reflectometry (GNSS-R) techniques to estimate land surface parameters such as soil moisture (SM) is experimentally studied using 2014-2017 global data from the UK TechDemoSat-1 (TDS-1) mission.
Camps Carmona, Adriano José, Hyuk, Park, Portal González, Gerard, Rossato, Luciana, Vall-llossera, M.   +4 more
core   +2 more sources

Evaluation of a global soil moisture product from finer spatial resolution sar data and ground measurements at Irish sites [PDF]

, 2014
In the framework of the European Space Agency Climate Change Initiative, a global, almost daily, soil moisture (SM) product is being developed from passive and active satellite microwave sensors, at a coarse spatial resolution.
Barrett, Brian, Dwyer, Edward, Gruber, Alexander, Kiely, Gerald, Pratola, Chiara   +4 more
core   +3 more sources

Monitoring forest above-ground biomass from multifrequency vegetation optical depth: a preliminary study [PDF]

, 2021
Vegetation Optical Depth (VOD) is highly sensitive to Above-ground Biomass (AGB), particularly at L-band, as this band is more sensitive to the canopy layer and has greater ca pacity to penetrate the vegetation.
Camps Carmona, Adriano José, Chaparro Danon, David, Olivares Cabello, Claudia Lily, Vall-Llossera Ferran, Mercedes Magdalena   +3 more
core   +1 more source

Simultaenous Retrieval of Surface Roughness Parameters from Combined Active-Passive SMAP Observations [PDF]

, 2019
Soil roughness strongly influences processes like erosion, infiltration, moisture and evaporation of soils as well as growth of agricultural plants.
Akbar, Ruzbeh, Entekhabi, Dara, Fluhrer, Anke, Jagdhuber, Thomas, O'Neill, Peggy   +4 more
core   +2 more sources

Statistical Downscaling Method for Vegetation Optical Depth Based on NDVI

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

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, Leila Guerriero, Paolo Ferrazzoli, Philippe Richaume, Yann H. Kerr   +4 more
doaj   +1 more source