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Nov 27, 2018

paper

4th Week of Nov

Author: Lander Baeten, Helge Bruelheide, Fons van der Plas, Stephan Kambach, Sophia Ratcliffe,Tommaso Jucker, Eric Allan, Evy Ampoorter, Luc Barbaro, Cristina C Bastias, Jürgen Bauhus, Raquel Benavides, Damien Bonal, Olivier Bouriaud, Filippo Bussotti, Monique Carnol, Bastien Castagneyrol, Yohan Charbonnier, Ewa Chećko, David A Coomes, Jonas Dahlgren, Seid Muhie Dawud, Hans De Wandeler, Timo Domisch, Leena Finér, Markus Fischer, Mariangela Fotelli, Arthur Gessler, Charlotte Grossiord, Virginie Guyot, Stephan Hättenschwiler, Hervé Jactel, Bogdan Jaroszewicz, François‐Xavier Joly, Julia Koricheva, Aleksi Lehtonen, Sandra Müller, Bart Muys, Diem Nguyen, Martina Pollastrini, Kalliopi Radoglou, Karsten Raulund‐Rasmussen, Paloma Ruiz‐Benito, Federico Selvi, Jan Stenlid, Fernando Valladares, Lars Vesterdal, Kris Verheyen, Christian Wirth, A Zavala Miguel, Michael Scherer‐Lorenzen

 

Year: 2018

 

Title: Identifying the tree species compositions that maximize ecosystem functioning in European forests

 

Journal:  Journal of Applied Ecology. (Accepted)

 

Summary: Species identity and composition effects are essential to the development of high‐performing production systems.  Therefore the great attention in the analysis and design of functional biodiversity studies is needed if the aim is to inform ecosystem management. high productivity and multifunctionality can be combined with an informed selection of tree species and species combinations.

 

Comment: Maximizing functioning rather than with diversity per se! (From the Abstract: Evidence‐based understanding of composition effects on forest productivity, as well as on multiple other functions will enable forest managers to focus on the selection of species that maximize functioning, rather than with diversity per se.)

Sep 10, 2018

paper

2nd Week of Sep

Author: Enli Wang, Pierre Martre, Zhigan Zhao, Frank Ewert, Andrea Maiorano,

Reimund P. Rötter, Bruce A. Kimball, Michael J. Ottman, Gerard W. Wall, Jeffrey W. White, Matthew P. Reynolds, Phillip D. Alderman, Pramod K. Aggarwal, Jakarat Anothai,
Bruno Basso, Christian Biernath, Davide Cammarano, Andrew J. Challinor,
Giacomo De Sanctis, Jordi Doltra, Benjamin Dumont, Elias Fereres, Margarita Garcia-Vila,
Sebastian Gayler, Gerrit Hoogenboom, Leslie A. Hunt, Roberto C. Izaurralde,
Mohamed Jabloun, Curtis D. Jones, Kurt C. Kersebaum, Ann-Kristin Koehler, Leilei Liu,
Christoph Müller, Soora Naresh Kumar, Claas Nendel, Garry O’Leary, Jørgen E. Olesen,
Taru Palosuo, Eckart Priesack, Ehsan Eyshi Rezaei, Dominique Ripoche, Alex C. Ruane,
Mikhail A. Semenov, Iurii Shcherbak, Claudio Stöckle, Pierre Stratonovitch, Thilo Streck,
Iwan Supit, Fulu Tao, Peter Thorburn, Katharina Waha, Daniel Wallach, Zhimin Wang,
Joost Wolf, Yan Zhu, and Senthold Asseng

 

Year: 2017

 

Title: The uncertainty of crop yield projections is reduced by improved temperature response functions

 

Journal: NATURE PLANTS 3, 17102 (2017)  DOI: 10.1038/nplants.2017.102 

 

Summary: A set of new temperature response functions that when substituted in four wheat models reduced the error in grain yield simulations across seven global sites with different temperature regimes by 19% to 50% (42% average).

 

Comment: Improving one factor (temperature response function) can reduce the uncertainty of crop yield projection. Climate change and genetic modification can shift the temperature response function of the crop. The study on the impact of climate change on temperature response function of vegetation is needed.

Aug 22, 2018

paper

4th Week of Aug

Author: Yongguang Zhang, Luis Guanter, Joanna Joiner, Lian Song, Kaiyu Guan

 

Year: 2018

 

Title: Spatially-explicit monitoring of crop photosynthetic capacity through the use of space-based chlorophyll fluorescence data

 

Journal: Remote Sensing of Environment 210 (2018) 362–374

 

Summary:  The potential to infer regional Vcmax using remotely sensed SIF data and to use this information for a better quantification of regional cropland carbon cycles.

Comment:  Seasonal Vcmax by SiF predicts better GPP than constant Vcmax in regional cropland. SiF, which is the indirect measurement of photosynthesis, could be an essential supplement to get Seasonal Vcmax. Vcmax is a direct factor to GPP which measured in an indirect way. 

Aug 21, 2018

letter

3rd Week of Aug

Author: Xiao-Peng Song*, Matthew C. Hansen, Stephen V. Stehman, Peter V. Potapov, Alexandra Tyukavina, Eric F. Vermote & John R. Townshend

 

Year: 2018

 

Title: Global land change from 1982 to 2016

 

Journal: Nature 

 

Summary: A comprehensive record of global land-change dynamics during the period 1982–2016. We show that tree cover has increased (+7.1% relative to the 1982 level). This overall net gain is the result of a net loss in the tropics being outweighed by a net gain in the extratropics. Global bare ground cover has decreased(−3.1%), most notably in agricultural regions in Asia. Of all land changes, 60% are associated with direct human activities and 40% with indirect drivers such as climate change. Land-use change exhibits regional dominance, including tropical deforestation and agricultural expansion, temperate reforestation or afforestation, cropland intensification and urbanization. Consistently across all climate domains, montane systems have gained tree cover and many arid and semi-arid ecosystems have lost vegetation cover.

 

Comment: Although the tree cover increased and bare ground cover decreased, land change in the tropical region might be crucial to climate change.

Aug 12, 2018

letter

2nd Week of Aug

Author: Lauren M. Zuromski, David R. Bowling, Philipp Köhler, Christian Frankenberg, Michael L. Goulden, Peter D. Blanken, John C. Lin

 

Year: 2018

 

Title: Solar‐Induced Fluorescence Detects Interannual Variation in Gross Primary Production of Coniferous Forests in the Western United States

 

Journal: AGU100, Geophysical research letters // 10.1029/2018GL077906

 

Summary: Solar-induced fluorescence better tracks interannual variation of conifer productivity than reflectance-based method. Further, SiF captures decreasing productivity associated with drought-induced forest mortality.

 

Comment: The study shows the potential of SiF to capture the interannual variation of GPP. For global scale application, spatial mismatch on heterogeneous landscape scale needs to be improved.

Jan 01, 2020

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Jan 01, 2020

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Jan 01, 2020

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Jan 01, 2020

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Jan 01, 2020

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Jun 12, 2018

paper

2nd Week of Jun

Author: YONGGUANG ZHANG, LUIS GUANTER, JOSEPH A. BERRY, JOANNA JOINER, CHRISTIAAN VAN DER TOL, ALFREDO HUETE, ANATOLY GITELSON, MAXIMILIAN VOIGT and PHILIPP KOHLER

 

Year:  2014

 

Title: Estimation of vegetation photosynthetic capacity from space-based measurements of chlorophyll fluorescence for terrestrial biosphere models

 

Journal: Global Change Biology (2014) 20, 3727–3742, doi: 10.1111/gcb.12664

 

Summary: The study showed the potential of satellite-derived SiF to estimate Vcmax, which is the key factor to predict GPP in terrestrial biosphere models.

 

Comment: Improvement in GPP prediction is still needed in terrestrial biosphere models. SiF is one way to reduce the uncertainty of GPP and predict accurately by calculating seasonal Vcmax.

Jun 04, 2018

paper

1st Week of Jun

Author: Yunan Luo, Kaiyu Guan, Jian Peng

 

Year: 2018

 

Title: STAIR: A generic and fully-automated method to fuse multiple sources of optical satellite data to generate a high-resolution, daily and cloud-/gap-free surface reflectance product

 

Journal: Remote Sensing of Environment 214 (2018) 87-99

 

Summary: STAIR imputes the missing-value pixels in satellite images using an adaptive-average correction process, which takes into account different land covers and neighborhood information of miss-value pixels through an automatic segmentation. STAIR employs a local interpolation model to capture the most informative spatial information provided by the high spatial resolution data and then performs an adjustment step to incorporate the temporal patterns provided by the high-frequency data.

 

Comment:  Using the time series of multiple sources of satellite data and a generic method to interpolate gap-free surface reflectance product. Daily products are really useful for past and future data monitoring.

May 24, 2018

paper

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May 16, 2018

paper

3rd Week of May

Author: Davidson, S., Santos, M., Sloan, V., Watts, J., Phoenix, G., Oechel, W., & Zona, D.

 

Year: 2016

 

Title: Mapping Arctic Tundra Vegetation Communities Using Field Spectroscopy and Multispectral Satellite Data in North Alaska, USA

 

Journal: Remote sensing, 8, 978

 

Summary: The benefits of using fine-scale field spectroscopy measurements to obtain tundra vegetation classifications for landscape analyses and use in carbon flux scaling studies.

 

Comment: Classification is an important and classic topic when field data is limited.

May 07, 2018

paper

2nd Week of May

Author: Good, S.P., Noone, D., & Bowen, G.

 

Year: 2015

 

Title: Hydrologic connectivity constrains partitioning of global terrestrial water fluxes.

 

Journal: Science, 349, 175-177

 

Summary: The study combined two large-scale flux-partitioning approaches to quantify evapotranspiration subcomponents and the hydrologic connectivity of bound, plant-available soil waters with more mobile surface waters. The results estimate that 38 ± 28% of surface water is derived from the plant-accessed soil water pool. This limited connectivity between soil and surface waters fundamentally structures the physical and biogeochemical interactions of water transiting through catchments.

 

Comment: Hydrologic connectivity for terrestrial water flux that inter-constrains carbon fluxes

 

 

May 01, 2018

paper

1st Week of May

Author: Swann, A.L.S., Fung, I.Y., Liu, Y., & Chiang, J.C.H

 

Year: 2014

 

Title: Remote Vegetation Feedbacks and the Mid-Holocene Green Sahara

 

Journal: Journal of Climate, 27, 4857-4870

 

Summary: Remote forcing from expanded forest cover in Eurasia relative to today is capable of shifting the intertropical convergence zone northward, resulting in an enhancement in precipitation over northern Africa approximately 6000 years ago greater than that resulting from orbital forcing and local vegetation alone

 

Comment: What an interesting term 'proxy records of plant cover represent not only the response of vegetation to local climate but also that vegetation’s influence on global climate patterns.'

Apr 22, 2018

paper

4th Week of April

Author: Rasmus Houborg, Matthew F. McCabe

 

Year: 2018

 

Title: A Cubesat enabled Spatio-Temporal Enhancement Method (CESTEM) utilizing Planet, Landsat and MODIS data

 

Journal: Remote Sensing of Environment 209 (2018) 211-226 

 

Summary: CESTEM produces Landsat 8 consistent atmospherically corrected surface reflectance in blue, green, red, and NIR band, but at the spatial scale and temporal frequency of the Cubesat observation. 

 

Comment: Enables great potential for earth monitoring by consistent cubesat constellation data. This CESTEM method will be a future game changer.

Apr 17, 2018

paper

3rd Week of April

Author: Poulter, B., Frank, D., Ciais, P., Myneni, R.B., Andela, N., Bi, J., Broquet, G., Canadell, J.G., Chevallier, F., Liu, Y.Y., Running, S.W., Sitch, S., & van der Werf, G.R.

 

Year: 2014

 

Title: Contribution of semi-arid ecosystems to interannual variability of the global carbon cycle.

 

Journal: Nature, 509, 600

 

Summary:  The global carbon sink anomaly was driven by the growth of semi-arid vegetation in the Southern Hemisphere, with almost 60 percent of carbon uptake attributed to Australian ecosystems. The higher turnover rates of carbon pools in semi-arid biomes are an increasingly important driver of global carbon cycle inter-annual variability and those tropical rainforests may become less relevant drivers in the future.

 

Comment: As wildfire decompose the accumulate carbon stock, its impact on interannual carbon-climate need to identify.

Apr 12, 2018

paper

2nd Week of April

Author: Medvigy, D., Walko, R.L., Otte, M.J., & Avissar, R.

 

Year: 2013

 

Title: Simulated Changes in Northwest U.S. Climate in Response to Amazon Deforestation

 

Journal: Journal of Climate, 26, 9115-9136

 

Summary: The deforestation of the Amazon can act as a driver of regional climate change in the extratropics, including areas of the western United States that are agriculturally important.

 

Comment: 'We need adequate model resolution in modeling the impacts of Amazon deforestation.' that means creating a model that captures changes in a particular area and coupled it with GCM, we can better explain the impact of regional carbon change on climate change.

Apr 04, 2018

paper

1st Week of April

Author: Abigail L. S. Swann, Inez Y. Fung, and John C. H. Chiang

 

Year: 2012

 

Title: Mid-latitude afforestation shifts general circulation and tropical precipitation

 

Journal: Proc Natl Acad Sci U S A, 109, 712-716

 

Summary: The climate model experiments show large-scale afforestation in northern mid-latitudes warms the Northern Hemisphere and alters global circulation pattern.  Mid-latitude afforestation is found to have a small impact on modeled global temperatures and on global CO2, but regional heating from the increase in forest cover is capable of driving unintended changes in circulation and precipitation.

 

Comment: 'The ability of vegetation to affect remote circulation has implications for strategies for climate mitigation.' could be done in regional scale.

Mar 27, 2018

paper

4th Week of Mar

Author:  Gustaf Hugelius, Tarmo  Virtanen , Dmitry Kaverin, Alexander Pastukhov, Felix Rivkin, Sergey Marchenko, Vladimir Romanovsky, Peter Kuhry

 

Year: 2011

 

Title: High-resolution mapping of ecosystem carbon storage and potential effects of permafrost thaw in periglacial terrain, European Russian Arctic

Journal: Journal of Geophysical Research: Biogeosciences

 

Summary: The study describes detailed partitioning of phytomass carbon (C) and soil organic carbon (SOC) for four study areas in discontinuous permafrost terrain, Northeast European Russia.

 

Comment: We need to know the carbon storage before the carbon flux studies.

Mar 18, 2018

paper

3rd Week of Mar

Author: Franc¸ois-Marie Breon, Philippe Ciais

 

Year: 2016

 

Title: Spaceborne remote sensing of greenhouse gas concentrations

 

Journal: Competes Rendus Geoscience 342 (2010) 412–424

 

Summary: Sources and sinks of these gases generate spatial and temporal gradients that can be measured either in situ or from space. This paper describes the methods and main instrument that are used or may be used in the future for monitoring of the main greenhouse hases from space.

 

Comment: If thermal infrared sounding can be potential technic for the measurement of greenhouse gases concentration, spatio-temporal fusion method can improve the spatial resolution of monitoring CO2 concentration.

Mar 11, 2018

paper

2nd Week of Mar

Author: Bala, G., Caldeira, K., Wickett, M., Phillips, T.J., Lobell, D.B., Delire, C., & Mirin, A

 

Year: 2007

 

Title: Combined climate and carbon-cycle effects of large-scale deforestation

 

Journal: Proc Natl Acad Sci U S A, 104, 6550-6555

 

Summary: Afforestation projects in the tropics would be clearly beneficial in mitigating global-scale warming, but would be counterproductive if implemented at high latitudes and would offer only marginal benefits in temperate regions. 

 

Comment: Coupling climate model with the carbon cycle to suggest beneficial the location for afforestation and deforestation.

Mar 01, 2018

paper

1st Week of Mar

Author: Edward M.Olexa, Rick L. Lawrence

 

Year: 2014

 

Title: Performance and effects of land cover type on synthetic surface reflectance and NDVI estimates for assessment and monitoring of semi-arid rangeland

 

Journal: International Journal of Applied Earth Observation and Geoinformation 30 (2014) 30-41 

 

Summary: The successful application of the STARFM algorithm to semi-arid rangeland; however, this paper encourages evaluation of STARFM' performance on a per product basis with attention given to the influence of base pair selection and the impact of the time lag.  

 

Comment: In the evaluation of STARFM performance, time lag affect more than land cover type and difference in the reflectance bands.

Feb 21, 2018

paper

4th Week of Feb

Author: Toshihiro Sakamoto, Brian D. Wardlow, Anatoly A. Gitelson, Shashi B. Verma,
Andrew E. Suyker, Timothy J. Arkebauer

 

Year: 2010

 

Title: A Two-Step Filtering approach for detecting maize and soybean phenology with
time-series MODIS data

 

Journal: Remote Sensing of Environment 114 (2010) 2146–2159

 

Summary:  The TSF method consists of a Two-Step Filtering scheme that includes: (i) smoothing the temporal WDRVI data with a wavelet-based filter and (ii) deriving the optimum scaling parameters from shape-model fitting procedure. The date of key crop development stages are then estimated by using the optimum scaling parameters and
an initial value of the specific phenological date on the shape model, which are preliminary defined in reference to ground-based crop growth stage observations.

 

Comment: A data smoothing and filtering is essential for detecting phenological stage of crop in regional scale

Feb 13, 2018

paper

3rd Week of Feb

Author: Hu Zhao, Zhengwei Yang, Liping Di, and Zhiyuan Pei

 

Year: 2012

 

Title: Evaluation of Temporal Resolution Effect in Remote Sensing Based Crop Phenology Detection Studies 

 

Journal:  In: Li D., Chen Y. (eds) Computer and Computing Technologies in Agriculture V. CCTA 2011. IFIP Advances in Information and Communication Technology, vol 369. Springer, Berlin, Heidelberg 

 

Summary: The results illustrated that daily surface reflectance datasets were the most accurate source for time-sensitive studies. However, extra ancillary datum and appropriate denoising techniques should be applied to reconstruct the time series curve.

 

Comment: Phenology matching process is a necessary step before detecting phenological information from remote sensing imagery for specific land cover type since same phenological stages of different crop types might have different counterparts on time series curve.

Feb 05, 2018

paper

2nd Week of Feb

Author: Martin Claverie, Eric F. Vermote, Marie Weiss, Frédéric Baret, Olivier Hagolle, Valérie Demarez

 

Year: 2013

 

Title: Validation of coarse spatial resolution LAI and FAPAR time series over cropland in southwest France

 

Journal: Remote Sensing of Environment 139 (2013) 216–230

 

Summary: The best agreement with the reference maps is found for MODIS BV-NNET products with r2 higher than 0.9 and relative uncertainties lower than 17%

 

Comment: Validation of product with other satellite, in situ data, and reference map! Take writing context in my paper!

Jan 31, 2018

paper

1st Week of Feb

Author: Alyssa K. Whitcraft, Inbal Becker-Reshef, Brian D. Killough and Christopher O. Justice

 

Year:  2015

 

Title: Meeting Earth Observation Requirements for Global Agricultural Monitoring: An Evaluation of the Revisit Capabilities of Current and Planned Moderate Resolution Optical Earth Observing Missions 

 

Journal: Remote Sens. 2015, 7, 1482-1503; doi:10.3390/rs70201482 

 

Summary: Combining missions from two or three different space agencies leads to greatly 
improved revisit frequencies and an improvement in our ability to meet earth observation requirements for global agricultural monitoring, although key gaps exist in pervasively and persistently cloudy regions.

 

Comment: Using multiple satellite sensors to observe Earth surface improves temporal resolution. Let's add fusion results for the cloudy gap.

Jan 22, 2018

paper

4th Week of Jan

Author:DENGSHENG LU

 

Year: 2006

 

Title: The potential and challenge of remote sensing‐based biomass estimation

 

Journal: International Journal of Remote Sensing Vol. 27, No. 7, 10 April 2006, 1297–1328

 

Summary:  Aims to summarize the approaches for above-ground biomass estimation at different scales of remotely sensed data, to discuss the issues influencing above-ground biomass estimation, and to propose potential solutions and future research.

 

Comment: Selection of suitable vegetation indices! Reduction of the mixed pixel problem by using data fusion.

Jan 16, 2018

paper

3rd Week of Jan

Author: Fei Yang, Jie Yang, Juanle Wang, and Yunqiang Zhu

 

Year: 2015

 

Title: Assessment and Validation of MODIS and GEOV1 LAI With Ground-Measured Data and an Analysis of the Effect of Residential Area in Mixed Pixel

 

Journal: IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, VOL. 8, NO. 2, FEBRUARY 2015 

 

Summary:  This study proposed a statistic method for estimating the real crop vegetation LAI data in mixed pixels at several key crop growth stages.

 

Comment: Ground-measured data can be used as a scientific reference.

Jan 10, 2018

paper

2nd Week of Jan

Author: Irina V. Emelyanova, Tim R. McVicar, Thomas G. Van Niel, Ling Tao Li, Albert I.J.M. van Dijk

 

Year: 2013

 

Title: Assessing the accuracy of blending Landsat–MODIS surface reflectances in two landscapes with contrasting spatial and temporal dynamics: A framework for algorithm selection

 

Journal: Remote Sensing of Environment 133 (2013) 193–209

 

Summary: Evaluate the accuracy of blending algorithms and synthesis the spatial and temporal conditions under which algorithms performed best.

 

Comment: Partitioning the spatial and temporal variances is logical approach for evaluating algorithm. Check out the paper 'Partitioning the variance between space and time (2010)'

Jan 03, 2018

paper

1st Week of Jan

Author: Feng Tian, Yunjia Wang, Rasmus Fensholt, Kun Wang, Li Zhang and Yi Huang

 

Year: 2013

 

Title: Mapping and Evaluation of NDVI Trends from Synthetic Time Series Obtained by Blending Landsat and MODIS Data around a Coalfield on the Loess Plateau 

 

Journal: Remote Sensing. 2013, 5, 4255-4279

 

Summary: STARFM-generated synthetic NDVI time series could be used to quantify the effects of mining activities on vegetation, but the test areas should be selected with caution, as the trends derived from synthetic and MODIS time series may be significantly different in some areas

 

Comment: The approach for generating synthetic-NDVI time series should be focused on direct vegetation index, not surface reflectance.

Jan 03, 2023

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