Results 21 to 30 of about 1,323 (182)

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

Biogeosciences, 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, B. Bonan, C. Albergel, C. Albergel, Y. Zheng, J.-C. Calvet   +5 more
doaj   +1 more source

GLEAM v3 : satellite-based land evaporation and root-zone soil moisture [PDF]

, 2016
The Global Land Evaporation Amsterdam Model (GLEAM) is a set of algorithms dedicated to the estimation of terrestrial evaporation and root-zone soil moisture from satellite data.
Beck, Hylke E, de Jeu, Richard AM, Dorigo, Wouter, Fernández-Prieto, Diego, Lievens, Hans, Martens, Brecht, Miralles, Diego, van der Schalie, Robin, Verhoest, Niko   +8 more
core   +7 more sources

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

IEEE 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, Simon Yueh, R. Scott Dunbar, Andreas Colliander, Dara Entekhabi, Steven K. Chan, Fan Chen, Xiaolan Xu, Rajat Bindlish, Peggy O'Neill, Jun Asanuma, Aaron A. Berg, David D. Bosch, Todd Caldwell, Michael H. Cosh, Chandra Holifield Collins, Karsten H. Jensen, Jose Martinez-Fernandez, Mark Seyfried, Patrick J. Starks, Zhongbo Su, Marc Thibeault, Jeffrey P. Walker   +22 more
doaj   +1 more source

Remote sensing of vegetation dynamics in drylands: Evaluating vegetation optical depth (VOD) using AVHRR NDVI and in situ green biomass data over West African Sahel [PDF]

Remote Sensing of Environment, 2016
Abstract Monitoring long-term biomass dynamics in drylands is of great importance for many environmental applications including land degradation and global carbon cycle modeling. Biomass has extensively been estimated based on the normalized difference vegetation index (NDVI) as a measure of the vegetation greenness. The vegetation optical depth (VOD)
Tian, Feng, Brandt, Martin, Liu, Yi Y., Verger, Aleixandre, Tagesson, Torbern, Diouf, Abdoul A., Rasmussen, Kjeld, Mbow, Cheikh, Wang, Yunjia, Fensholt, Rasmus   +9 more
openaire   +5 more sources

The carbon cycle in Mexico: past, present and future of C stocks and fluxes [PDF]

, 2015
PublishedThe Supplement related to this article is available online at doi:10.5194/bg-13-223-2016-supplement.We modeled the carbon (C) cycle in Mexico with a process-based approach.
Anav, A, Arneth, A, Arvanitis, A, Friedlingstein, P, Harper, A, Jain, A, Jaramillo, VJ, Kato, E, Koven, C, Liu, Y, Murguía-Flores, F, Murray-Tortarolo, G, Poulter, B, Sitch, S, Stocker, BD, Wiltshire, A, Zaehle, S, Zeng, N   +17 more
core   +7 more sources

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

Remote 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, Claudio Navacchi, Bernhard Bauer-Marschallinger, Sebastian Hahn, Susan Steele-Dunne, Isabella Pfeil, Wouter Dorigo, Wolfgang Wagner   +7 more
doaj   +1 more source

Contribution of water-limited ecoregions to their own supply of rainfall [PDF]

, 2016
The occurrence of wet and dry growing seasons in water-limited regions remains poorly understood, partly due to the complex role that these regions play in the genesis of their own rainfall.
Dolman, A Johannes, Dorigo, Wouter, Gimeno, Luis, Good, Stephen P, Liu, Yi Y, McDowell, Nathan G, Miralles, Diego, Nieto, Raquel, Teuling, Adriaan J, Verhoest, Niko   +9 more
core   +4 more sources

Space-based passive microwave soil moisture retrievals and the correction for a dynamic open water fraction [PDF]

, 2012
The large observation footprint of low-frequency satellite microwave emissions complicates the interpretation of near-surface soil moisture retrievals.
A. I. J. M. van Dijk, B. T. Gouweleeuw, J. P. Guerschman, M. Owe, P. Dyce   +4 more
core   +1 more source

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

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, Daniel Fiifi Tawia Hagan, Ricardo Dalagnol, Yi Liu   +3 more
doaj   +1 more source

Assessment of SMOS Soil Moisture Retrieval Parameters Using Tau-Omega Algorithms for Soil Moisture Deficit Estimation [PDF]

, 2014
Soil Moisture and Ocean Salinity (SMOS) is the latest mission which provides flow of coarse resolution soil moisture data for land applications. However, the efficient retrieval of soil moisture for hydrological applications depends on optimally choosing
Gupta, Manika, Han, Dawei, Islam, Tanvir, O'Neill, Peggy, Rico-Ramirez, Miguel A., Srivastava, Prashant K.   +5 more
core   +2 more sources