Surface Fractional Vegetation Cover

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Fractional Vegetation. See also LAI, Leaf Area Index, Land Cover Analysis.

Obata, K., Yoshioka, H.,
Inter-Algorithm Relationships for the Estimation of the Fraction of Vegetation Cover Based on a Two Endmember Linear Mixture Model with the VI Constraint,
RS(2), No. 7, July 2010, pp. 1680-1701.
DOI Link 1203

Obata, K., Yoshioka, H.,
Relationships Between Errors Propagated in Fraction of Vegetation Cover by Algorithms Based on a Two-Endmember Linear Mixture Model,
RS(2), No. 12, December 2010, pp. 2680-2699.
DOI Link 1203

Johnson, B., Tateishi, R., Kobayashi, T.,
Remote Sensing of Fractional Green Vegetation Cover Using Spatially-Interpolated Endmembers,
RS(4), No. 9, September 2012, pp. 2619-2634.
DOI Link 1210

Schwieder, M.[Marcel], Leităo, P.J.[Pedro J.], Suess, S.[Stefan], Senf, C.[Cornelius], Hostert, P.[Patrick],
Estimating Fractional Shrub Cover Using Simulated EnMAP Data: A Comparison of Three Machine Learning Regression Techniques,
RS(6), No. 4, 2014, pp. 3427-3445.
DOI Link 1405

Johnson, B.[Brian],
Remote Sensing Image Fusion at the Segment Level Using a Spatially-Weighted Approach: Applications for Land Cover Spectral Analysis and Mapping,
IJGI(4), No. 1, 2015, pp. 172-184.
DOI Link 1502
See also Satellite Image Pansharpening Using a Hybrid Approach for Object-Based Image Analysis. BibRef

Jiang, B.[Bo], Zhang, Y.[Yi], Liang, S.L.[Shun-Lin], Zhang, X.T.[Xiao-Tong], Xiao, Z.Q.[Zhi-Qiang],
Surface Daytime Net Radiation Estimation Using Artificial Neural Networks,
RS(6), No. 11, 2014, pp. 11031-11050.
DOI Link 1412
Evaluation from other sources, sensors are expensive for large areas. BibRef

Jia, K.[Kun], Liang, S.L.[Shun-Lin], Liu, S.H.[Su-Hong], Li, Y.W.[Yu-Wei], Xiao, Z.Q.[Zhi-Qiang], Yao, Y.J.[Yun-Jun], Jiang, B.[Bo], Zhao, X.[Xiang], Wang, X.X.[Xiao-Xia], Xu, S.[Shuai], Cui, J.[Jiao],
Global Land Surface Fractional Vegetation Cover Estimation Using General Regression Neural Networks From MODIS Surface Reflectance,
GeoRS(53), No. 9, September 2015, pp. 4787-4796.
Earth BibRef

Zhong, C.[Cheng], Wang, C.[Cuizhen], Wu, C.S.[Chang-Shan],
MODIS-Based Fractional Crop Mapping in the U.S. Midwest with Spatially Constrained Phenological Mixture Analysis,
RS(7), No. 1, 2015, pp. 512-529.
DOI Link 1502

Song, W.[Wanjuan], Mu, X.[Xihan], Yan, G.J.[Guang-Jian], Huang, S.[Shuai],
Extracting the Green Fractional Vegetation Cover from Digital Images Using a Shadow-Resistant Algorithm (SHAR-LABFVC),
RS(7), No. 8, 2015, pp. 10425.
DOI Link 1509

Mu, X.[Xihan], Hu, M.[Maogui], Song, W.J.[Wan-Juan], Ruan, G.Y.[Gai-Yan], Ge, Y.[Yong], Wang, J.F.[Jin-Feng], Huang, S.[Shuai], Yan, G.J.[Guang-Jian],
Evaluation of Sampling Methods for Validation of Remotely Sensed Fractional Vegetation Cover,
RS(7), No. 12, 2015, pp. 15817.
DOI Link 1601

Fang, S.H.[Sheng-Hui], Tang, W.C.[Wen-Chao], Peng, Y.[Yi], Gong, Y.[Yan], Dai, C.[Can], Chai, R.[Ruhui], Liu, K.[Kan],
Remote Estimation of Vegetation Fraction and Flower Fraction in Oilseed Rape with Unmanned Aerial Vehicle Data,
RS(8), No. 5, 2016, pp. 416.
DOI Link 1606

Zhu, C.M.[Chang-Ming], Lu, D.S.[Deng-Sheng], Victoria, D.[Daniel], Dutra, L.V.[Luciano Vieira],
Mapping Fractional Cropland Distribution in Mato Grosso, Brazil Using Time Series MODIS Enhanced Vegetation Index and Landsat Thematic Mapper Data,
RS(8), No. 1, 2016, pp. 22.
DOI Link 1602

Coy, A.[André], Rankine, D.[Dale], Taylor, M.[Michael], Nielsen, D.C.[David C.], Cohen, J.[Jane],
Increasing the Accuracy and Automation of Fractional Vegetation Cover Estimation from Digital Photographs,
RS(8), No. 7, 2016, pp. 474.
DOI Link 1608

Xiao, Z.Q.[Zhi-Qiang], Wang, T.T.[Tong-Tong], Liang, S.L.[Shun-Lin], Sun, R.[Rui],
Estimating the Fractional Vegetation Cover from GLASS Leaf Area Index Product,
RS(8), No. 4, 2016, pp. 337.
DOI Link 1604
See also Retrieval of Leaf Area Index (LAI) and Fraction of Absorbed Photosynthetically Active Radiation (FAPAR) from VIIRS Time-Series Data. BibRef

Yang, L.Q.[Lin-Qing], Jia, K.[Kun], Liang, S.L.[Shun-Lin], Liu, J.C.[Jing-Can], Wang, X.X.[Xiao-Xia],
Comparison of Four Machine Learning Methods for Generating the GLASS Fractional Vegetation Cover Product from MODIS Data,
RS(8), No. 8, 2016, pp. 682.
DOI Link 1609

Wang, X.X.[Xiao-Xia], Jia, K., Liang, S.L.[Shun-Lin], Zhang, Y.,
Fractional Vegetation Cover Estimation Method Through Dynamic Bayesian Network Combining Radiative Transfer Model and Crop Growth Model,
GeoRS(54), No. 12, December 2016, pp. 7442-7450.
Bayes methods BibRef

Zhao, P.[Peng], Fan, W.J.[Wen-Jie], Liu, Y.[Yuan], Mu, X.[Xihan], Xu, X.[Xiru], Peng, J.J.[Jing-Jing],
Study of the Remote Sensing Model of FAPAR over Rugged Terrains,
RS(8), No. 4, 2016, pp. 309.
DOI Link 1604
FAPAR: Fraction of Absorbed Photosynthetically Active Radiation. BibRef

Wang, Y.T.[Yi-Ting], Xie, D.H.[Dong-Hui], Liu, S.[Song], Hu, R.H.[Rong-Hai], Li, Y.H.[Ya-Hui], Yan, G.J.[Guang-Jian],
Scaling of FAPAR from the Field to the Satellite,
RS(8), No. 4, 2016, pp. 310.
DOI Link 1604

Yang, L.Q.[Lin-Qing], Jia, K.[Kun], Liang, S.L.[Shun-Lin], Wei, X.Q.[Xiang-Qin], Yao, Y.J.[Yun-Jun], Zhang, X.T.[Xiao-Tong],
A Robust Algorithm for Estimating Surface Fractional Vegetation Cover from Landsat Data,
RS(9), No. 8, 2017, pp. xx-yy.
DOI Link 1708

Yang, L.Q.[Lin-Qing], Jia, K.[Kun], Liang, S.L.[Shun-Lin], Liu, M.[Meng], Wei, X.Q.[Xiang-Qin], Yao, Y.J.[Yun-Jun], Zhang, X.T.[Xiao-Tong], Liu, D.Y.[Duan-Yang],
Spatio-Temporal Analysis and Uncertainty of Fractional Vegetation Cover Change over Northern China during 2001-2012 Based on Multiple Vegetation Data Sets,
RS(10), No. 4, 2018, pp. xx-yy.
DOI Link 1805

Jia, K.[Kun], Li, Y.[Yuwei], Liang, S.L.[Shun-Lin], Wei, X.Q.[Xiang-Qin], Yao, Y.J.[Yun-Jun],
Combining Estimation of Green Vegetation Fraction in an Arid Region from Landsat 7 ETM+ Data,
RS(9), No. 11, 2017, pp. xx-yy.
DOI Link 1712

Wang, X.X.[Xiao-Xia], Jia, K.[Kun], Liang, S.L.[Shun-Lin], Li, Q.Z.[Qiang-Zi], Wei, X.Q.[Xiang-Qin], Yao, Y.J.[Yun-Jun], Zhang, X.T.[Xiao-Tong], Tu, Y.X.[Yi-Xuan],
Estimating Fractional Vegetation Cover From Landsat-7 ETM Reflectance Data Based on a Coupled Radiative Transfer and Crop Growth Model,
GeoRS(55), No. 10, October 2017, pp. 5539-5546.
land cover, reflectivity, remote sensing by laser beam, coupled PROSAIL radiative transfer model, fractional vegetation cover, statistical crop growth model, vegetation growth information, Estimation, Remote sensing, Crop growth model, Global LAnd Surface Satellite (GLASS) fractional vegetation cover (FVC) product. BibRef

Chernetskiy, M.[Maxim], Gómez-Dans, J.[Jose], Gobron, N.[Nadine], Morgan, O.[Olivier], Lewis, P.[Philip], Truckenbrodt, S.[Sina], Schmullius, C.[Christiane],
Estimation of FAPAR over Croplands Using MISR Data and the Earth Observation Land Data Assimilation System (EO-LDAS),
RS(9), No. 7, 2017, pp. xx-yy.
DOI Link 1708
FAPAR: Fraction of Absorbed Photosynthetically Active Radiation BibRef

Filipponi, F.[Federico], Valentini, E.[Emiliana], Xuan, A.N.[Alessandra Nguyen], Guerra, C.A.[Carlos A.], Wolf, F.[Florian], Andrzejak, M.[Martin], Taramelli, A.[Andrea],
Global MODIS Fraction of Green Vegetation Cover for Monitoring Abrupt and Gradual Vegetation Changes,
RS(10), No. 4, 2018, pp. xx-yy.
DOI Link 1805

Liu, D.Y.[Duan-Yang], Yang, L.Q.[Lin-Qing], Jia, K.[Kun], Liang, S.L.[Shun-Lin], Xiao, Z.Q.[Zhi-Qiang], Wei, X.Q.[Xiang-Qin], Yao, Y.J.[Yun-Jun], Xia, M.[Mu], Li, Y.W.[Yu-Wei],
Global Fractional Vegetation Cover Estimation Algorithm for VIIRS Reflectance Data Based on Machine Learning Methods,
RS(10), No. 10, 2018, pp. xx-yy.
DOI Link 1811

Wang, B.[Bing], Jia, K.[Kun], Liang, S.L.[Shun-Lin], Xie, X.H.[Xian-Hong], Wei, X.Q.[Xiang-Qin], Zhao, X.[Xiang], Yao, Y.J.[Yun-Jun], Zhang, X.T.[Xiao-Tong],
Assessment of Sentinel-2 MSI Spectral Band Reflectances for Estimating Fractional Vegetation Cover,
RS(10), No. 12, 2018, pp. xx-yy.
DOI Link 1901

Suárez, P.L.[Patricia L.], Sappa, A.D.[Angel D.], Vintimilla, B.X.[Boris X.],
Vegetation Index Estimation from Monospectral Images,
Springer DOI 1807

Karakus, P., Karabork, H.,
Estimating Crop Cover Fraction From Digital Color Images,
DOI Link 1805

Chapter on Remote Sensing, Cartography, Aerial Images, Buildings, Roads, Terrain, ATR continues in
Global-Scale Analysis, Global Land Cover Analysis .

Last update:Sep 9, 2019 at 16:26:55