Interannual Variations of Vegetation Optical Depth are Due to Both Water Stress and Biomass Changes
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Title
Interannual Variations of Vegetation Optical Depth are Due to Both Water Stress and Biomass Changes
Authors
Keywords
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Journal
GEOPHYSICAL RESEARCH LETTERS
Volume 48, Issue 16, Pages -
Publisher
American Geophysical Union (AGU)
Online
2021-08-03
DOI
10.1029/2021gl095267
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- (2018) Martin Brandt et al. Nature Ecology & Evolution
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- (2018) Amy Neuenschwander et al. REMOTE SENSING OF ENVIRONMENT
- Modelling the passive microwave signature from land surfaces: A review of recent results and application to the L-band SMOS & SMAP soil moisture retrieval algorithms
- (2017) J.-P. Wigneron et al. REMOTE SENSING OF ENVIRONMENT
- SMOS-IC: An Alternative SMOS Soil Moisture and Vegetation Optical Depth Product
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- (2017) Mostafa Momen et al. Journal of Geophysical Research-Biogeosciences
- Estimating Global Ecosystem Isohydry/Anisohydry Using Active and Passive Microwave Satellite Data
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- (2016) Jinyang Du et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- Recent advances in (soil moisture) triple collocation analysis
- (2016) A. Gruber et al. International Journal of Applied Earth Observation and Geoinformation
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- How Many Parameters Can Be Maximally Estimated From a Set of Measurements?
- (2015) Alexandra G. Konings et al. IEEE Geoscience and Remote Sensing Letters
- Recent reversal in loss of global terrestrial biomass
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- (2014) Kaighin A. McColl et al. GEOPHYSICAL RESEARCH LETTERS
- Inter-Calibration of Satellite Passive Microwave Land Observations from AMSR-E and AMSR2 Using Overlapping FY3B-MWRI Sensor Measurements
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- The determinants of leaf turgor loss point and prediction of drought tolerance of species and biomes: a global meta-analysis
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- Comparisons of Evening and Morning SMOS Passes Over the Midwest United States
- (2012) Tracy L. Rowlandson et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- Benchmark map of forest carbon stocks in tropical regions across three continents
- (2011) S. S. Saatchi et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- A possible solution for the problem of estimating the error structure of global soil moisture data sets
- (2008) K. Scipal et al. GEOPHYSICAL RESEARCH LETTERS
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