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An Enhanced TIMESAT Algorithm for Estimating Vegetation Phenology Metrics From MODIS Data
2011
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
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Our results show that for MODIS data in middle to high latitude regions, snow and land surface temperature information is critical in retrieving phenology metrics from satellite observations. ...
MODIS VI data were pre-processed using snow-cover and land surface temperature data, and temporally smoothed with the enhanced TIMESAT algorithm. ...
Feedback from a number of NACP investigators has also been valuable in refining the algorithm. Dr. Jonsson and Dr. ...
doi:10.1109/jstars.2010.2075916
fatcat:sulbxsobnjafhhxbzsddzde5ee
Estimation of seasonal dynamics of understory NDVI in northern forests using MODIS BRDF data: Semi-empirical versus physically-based approach
2015
Remote Sensing of Environment
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In this short communication paper, we retrieved the seasonal courses of understory Normalized Difference Vegetation Index (NDVI) from MODIS BRDF data using the semi-empirical and physically-based approach ...
Our results indicated both semi-empirical and physically-based approaches using MODIS BRDF data do have a potential to track seasonal changes in understory NDVI. ...
The authors thank Titta Majasalmi, Anu Akujärvi, and Matti Mõttus for participation in field data collection. ...
doi:10.1016/j.rse.2015.03.003
fatcat:t4yq5slwkzcdtk4npqlgipt3ge
Combining Process Modelling and LAI Observations to Diagnose Winter Wheat Nitrogen Status and Forecast Yield
2021
Agronomy
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Leaf N was accurately retrieved by the model (NRMSE = 6%). ...
The model, which includes a leaf N-dilution function, was calibrated across N treatments based on LAI observations, and tested at validation plots. ...
parameters based on observations. ...
doi:10.3390/agronomy11020314
fatcat:irhmv7dtxvagvc7shs27vk27bi
Evaluation and Exploitation of Retrieval Algorithms for Estimating Biophysical Crop Variables Using Sentinel-2, Venus, and PRISMA Satellite Data
2020
Journal of Geodesy and Geoinformation Science
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useful for an accurate retrieving of crop biophysical parameters. ...
Results of Sentinel-2 and Venus data for durum wheat-growing season were consistent with ground truth data and confirm also that SWIR bands, which are used as tie-points in the PROSAIL inversion, are extremely ...
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doi:10.11947/j.jggs.2020.0408
doaj:b5d502c0199c48fb8542a609a060ff99
fatcat:z6xbztv35zcyfgjlpmjeh4vwom
Satellite Data-Based Phenological Evaluation of the Nationwide Reforestation of South Korea
2013
PLoS ONE
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The retrieved nationwide growing season data were used to compare the spatial variations in forest biomass carbon density with the time-averaged growing season length for 61 forests. ...
This study investigated nationwide variations in vegetation phenology using satellite-based growing season estimates for 1982-2008. ...
Based on three satellite-retrieved surface phenology parameters, nationwide variations in phenology were evaluated. ...
doi:10.1371/journal.pone.0058900
pmid:23520541
pmcid:PMC3592835
fatcat:nbws6z7gg5ajdalgt46kq4d3qi
Soil Moisture Content Retrieval from Remote Sensing Data by Artificial Neural Network Based on Sample Optimization
2022
Sensors
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Soil moisture content (SMC) plays an essential role in geoscience research. The SMC can be retrieved using an artificial neural network (ANN) based on remote sensing data. ...
With this method, data typically excluded in conventional approaches can be adequately employed. ...
In Section 3, the methodology of the SSE is described, the array of input parameters is specified, and the entire ANN-based SMC retrieval process is demonstrated. ...
doi:10.3390/s22041611
pmid:35214511
pmcid:PMC8879226
fatcat:cqwljvbn4rfcbirynjstw6vgpm
Vegetation Optical Depth and Soil Moisture Retrieved from L-Band Radiometry over the Growth Cycle of a Winter Wheat
2018
Remote Sensing
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The retrievals were significantly improved compared to in situ measurements by using the time, polarization, and angle dependent τ as a priori information. ...
between τ over the entire growing season and the VWC as well as between τ and LAI. ...
In the current Level 3 SMAP algorithm (SMAP SCA), Equation (6) is used to estimate the τ parameter based on information from ancillary data of VWC extracted from MODIS NDVI data and b parameter values ...
doi:10.3390/rs10101637
fatcat:cgo5uynlmfguplspb6aniic4ne
Pan-boreal mapping of forest growing stock volume using hyper-temporal Envisat ASAR ScanSAR backscatter data
2012
2012 IEEE International Geoscience and Remote Sensing Symposium
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Retrieval of forest growing stock volume (GSV) has been shown to be feasible with C-band backscatter data using hyper-temporal stacks. ...
In this paper, we report on the generation of pan-boreal estimates of forest GSV representative for the year 2010 using Envisat ASAR ScanSAR backscatter measurements. ...
data to the retrieval. ...
doi:10.1109/igarss.2012.6352000
dblp:conf/igarss/SantoroSPS12
fatcat:lsq2rv67djgtrcnv2s2fkw2hlm
Better revisiting chlorophyll content retrieval with varying senescent material and solar-induced chlorophyll fluorescence simulation on paddy rice during the entire growth stages
2021
Ecological Indicators
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In this study, growing season canopy hyperspectral reflectance between 400 nm and 900 nm was used to retrieve chlorophyll content (Cab) and leaf inclination (LIDFa) using radiative transfer models (RTMs ...
The results showed that the accuracy of Cab retrieval was improved when the variation in senescent material (Cs) was considered, especially in the later growth stages. ...
The authors are thankful to Christiaan van der Tol for providing the SCOPE model and Yongguang Zhang for providing the experiment data. ...
doi:10.1016/j.ecolind.2021.108057
fatcat:mfjmmzkxw5cldpcxi6kzdvr2by
Joint leaf chlorophyll content and leaf area index retrieval from Landsat data using a regularized model inversion system (REGFLEC)
2015
Remote Sensing of Environment
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Validation results, based upon in-situ LAI and Chl l observations collected over maize and soybean fields in central Nebraska for the period 2001-2005, demonstrate Chl l retrieval with a relative root-mean-square-deviation ...
In this current analysis, REGFLEC is applied to a time-series of Landsat data. ...
We appreciate the data provided by the Center for Advanced Land Management Information Technologies (CALMIT) and the Carbon Sequestration Program, University of Nebraska-Lincoln. ...
doi:10.1016/j.rse.2014.12.008
fatcat:diat2wfstrcvrctbo54dxrfuji
Estimation of vegetation photosynthetic capacity from space-based measurements of chlorophyll fluorescence for terrestrial biosphere models
2014
Global Change Biology
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We evaluate our V cmax estimation method at six agricultural flux tower sites in the midwestern US using spaced-based SIF retrievals. ...
Abstract Photosynthesis simulations by terrestrial biosphere models are usually based on the Farquhar's model, in which the maximum rate of carboxylation (V cmax ) is a key control parameter of photosynthetic ...
We acknowledge Eumetsat for the GOME-2 data. MODIS MOD13 EVI/NDVI data were obtained from the MODIS LP DAAC archive and MERIS-MTCI from the Infoterra Ltd server. ...
doi:10.1111/gcb.12664
pmid:24953485
fatcat:leqnhgnmk5awnojoeh3ogegb7y
Trajectory-Based Video Retrieval Using Dirichlet Process Mixture Models
2008
Procedings of the British Machine Vision Conference 2008
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In this paper, we present a trajectory-based video retrieval framework using Dirichlet process mixture models. ...
and is able to deliver higher retrieval accuracy than the peer methods in the literature. (4) The framework has a nice scalability and adaptability in the sense that when new cluster data are presented ...
In general, there are two types of motion-based video retrieval techniques: camera-based and object-based. ...
doi:10.5244/c.22.106
dblp:conf/bmvc/LiHZZL08
fatcat:ksbviopp6fflxp4wgg4yfe3fpe
Analyzing Daily Estimation of Forest Gross Primary Production Based on Harmonized Landsat-8 and Sentinel-2 Product Using SCOPE Process-Based Model
2020
Remote Sensing
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In this study, we aimed to explore the potential and investigate the information content of the HLS data set using the Soil Canopy Observation of Photosynthesis and Energy fluxes (SCOPE) model to retrieve ...
the temporal variations in vegetation properties, followed by the GPP simulations during the 2016 growing season of an evergreen Norway spruce dominated forest stand. ...
Parameter Symbol We evaluated the quality of HLS data before the retrieval of vegetation properties. For the 2016 vegetation growing season, we downloaded HLS data for 39 days. ...
doi:10.3390/rs12223773
fatcat:crqmxko3ovh6xiwt3edtsgm7za
Extracting Agronomic Information from SMOS Vegetation Optical Depth in the US Corn Belt Using a Nonlinear Hierarchical Model
2020
Remote Sensing
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Remote sensing observations that vary in response to plant growth and senescence can be used to monitor crop development within and across growing seasons. ...
which is based upon visual observations from roadways. ...
In Section 3, we compare estimated parameters from our model across growing seasons and validate against estimates from USDA survey data. ...
doi:10.3390/rs12050827
fatcat:i6y726pfpvgttpxvjlrcqqlm34
Estimating Gravimetric Water Content of a Winter Wheat Field from L-Band Vegetation Optical Depth
2019
Remote Sensing
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This δ-parameter is shown to have a distinct impact on the thermal emission at L-band, but keeping δ constant during the growth cycle of the winter wheat appeared to be valid for these mg retrievals. ...
In addition, we performed a sensitivity analysis on the vegetation volume fraction (δ), an input parameter to the proposed approach which represents the volume percentage of solid plant material in air ...
We are also grateful to MIT for supporting this research with the MIT-Germany Seed Fund "Global Water Cycle and Environmental Monitoring using Active and Passive Satellite-based Microwave Instruments" ...
doi:10.3390/rs11202353
fatcat:dcsqvr7zcvfxjliuyn3uuwjhqq
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