22.2.7.7.1 Biomass Evaluations Pasture, Grassland, Rangeland, Savanna

Chapter Contents (Back)
Grassland Classification. Rangeland. Pasture. Savannah. Biomass.
See also Trees, Forest, Stem Volume, Aboveground Biomass Measurements.
See also Gross Primary Production, Net Primary Production, GPP, NPP.

Jin, Y.X.[Yun-Xiang], Yang, X.C.[Xiu-Chun], Qiu, J.J.[Jian-Jun], Li, J.Y.[Jin-Ya], Gao, T.[Tian], Wu, Q.[Qiong], Zhao, F.[Fen], Ma, H.L.[Hai-Long], Yu, H.[Haida], Xu, B.[Bin],
Remote Sensing-Based Biomass Estimation and Its Spatio-Temporal Variations in Temperate Grassland, Northern China,
RS(6), No. 2, 2014, pp. 1496-1513.
DOI Link 1403
BibRef

Zhao, F.[Fen], Xu, B.[Bin], Yang, X.C.[Xiu-Chun], Jin, Y.X.[Yun-Xiang], Li, J.Y.[Jin-Ya], Xia, L.[Lang], Chen, S.[Shi], Ma, H.L.[Hai-Long],
Remote Sensing Estimates of Grassland Aboveground Biomass Based on MODIS Net Primary Productivity (NPP): A Case Study in the Xilingol Grassland of Northern China,
RS(6), No. 6, 2014, pp. 5368-5386.
DOI Link 1407
BibRef

Diouf, A.A.[Abdoul Aziz], Brandt, M.[Martin], Verger, A.[Aleixandre], El Jarroudi, M.[Moussa], Djaby, B.[Bakary], Fensholt, R.[Rasmus], Ndione, J.A.[Jacques André], Tychon, B.[Bernard],
Fodder Biomass Monitoring in Sahelian Rangelands Using Phenological Metrics from FAPAR Time Series,
RS(7), No. 7, 2015, pp. 9122.
DOI Link 1506
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Bórnez, K., Verger, A.[Aleixandre], Filella, I.[Iolanda], Peñuelas, J.[Josep],
Land surface phenology from Copernicus Global Land time series,
MultiTemp17(1-4)
IEEE DOI 1712
phenology, vegetation, AD 1999 to 2016, Copernicus Global Land Service, phenology BibRef

Descals, A.[Adrià], Verger, A.[Aleixandre], Yin, G.[Gaofei], Peñuelas, J.[Josep],
Improved Estimates of Arctic Land Surface Phenology Using Sentinel-2 Time Series,
RS(12), No. 22, 2020, pp. xx-yy.
DOI Link 2011
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Zhang, B.H.[Bing-Hua], Zhang, L.[Li], Xie, D.[Dong], Yin, X.L.[Xiao-Li], Liu, C.J.[Chun-Jing], Liu, G.[Guang],
Application of Synthetic NDVI Time Series Blended from Landsat and MODIS Data for Grassland Biomass Estimation,
RS(8), No. 1, 2016, pp. 10.
DOI Link 1602
BibRef

Schaefer, M.T.[Michael T.], Lamb, D.W.[David W.],
A Combination of Plant NDVI and LiDAR Measurements Improve the Estimation of Pasture Biomass in Tall Fescue (Festuca arundinacea var. Fletcher),
RS(8), No. 2, 2016, pp. 109.
DOI Link 1603
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Shoko, C.[Cletah], Mutanga, O.[Onisimo], Dube, T.[Timothy],
Progress in the remote sensing of C3 and C4 grass species aboveground biomass over time and space,
PandRS(120), No. 1, 2016, pp. 13-24.
Elsevier DOI 1610
Climate change BibRef

Nestola, E.[Enrica], Calfapietra, C.[Carlo], Emmerton, C.A.[Craig A.], Wong, C.Y.S.[Christopher Y.S.], Thayer, D.R.[Donnette R.], Gamon, J.A.[John A.],
Monitoring Grassland Seasonal Carbon Dynamics, by Integrating MODIS NDVI, Proximal Optical Sampling, and Eddy Covariance Measurements,
RS(8), No. 3, 2016, pp. 260.
DOI Link 1604
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Kumar, L.[Lalit], Mutanga, O.[Onisimo],
Remote Sensing of Above-Ground Biomass,
RS(9), No. 9, 2017, pp. xx-yy.
DOI Link 1711
BibRef

Sibanda, M.[Mbulisi], Mutanga, O.[Onisimo], Rouget, M.[Mathieu], Kumar, L.[Lalit],
Estimating Biomass of Native Grass Grown under Complex Management Treatments Using WorldView-3 Spectral Derivatives,
RS(9), No. 1, 2017, pp. xx-yy.
DOI Link 1702
BibRef

Moeckel, T.[Thomas], Safari, H.[Hanieh], Reddersen, B.[Björn], Fricke, T.[Thomas], Wachendorf, M.[Michael],
Fusion of Ultrasonic and Spectral Sensor Data for Improving the Estimation of Biomass in Grasslands with Heterogeneous Sward Structure,
RS(9), No. 1, 2017, pp. xx-yy.
DOI Link 1702
BibRef

Meng, B.P.[Bao-Ping], Ge, J.[Jing], Liang, T.G.[Tian-Gang], Yang, S.[Shuxia], Gao, J.L.[Jing-Long], Feng, Q.S.[Qi-Sheng], Cui, X.[Xia], Huang, X.D.[Xiao-Dong], Xie, H.J.[Hong-Jie],
Evaluation of Remote Sensing Inversion Error for the Above-Ground Biomass of Alpine Meadow Grassland Based on Multi-Source Satellite Data,
RS(9), No. 4, 2017, pp. xx-yy.
DOI Link 1705
BibRef

Schucknecht, A.[Anne], Meroni, M.[Michele], Kayitakire, F.[Francois], Boureima, A.[Amadou],
Phenology-Based Biomass Estimation to Support Rangeland Management in Semi-Arid Environments,
RS(9), No. 5, 2017, pp. xx-yy.
DOI Link 1706
BibRef

Cooper, S.D.[Sam D.], Roy, D.P.[David P.], Schaaf, C.B.[Crystal B.], Paynter, I.[Ian],
Examination of the Potential of Terrestrial Laser Scanning and Structure-from-Motion Photogrammetry for Rapid Nondestructive Field Measurement of Grass Biomass,
RS(9), No. 6, 2017, pp. xx-yy.
DOI Link 1706
BibRef

Shoko, C.[Cletah], Mutanga, O.[Onisimo], Dube, T.[Timothy],
Determining Optimal New Generation Satellite Derived Metrics for Accurate C3 and C4 Grass Species Aboveground Biomass Estimation in South Africa,
RS(10), No. 4, 2018, pp. xx-yy.
DOI Link 1805
BibRef

Zhang, H.F.[Hui-Fang], Sun, Y.[Yi], Chang, L.[Li], Qin, Y.[Yu], Chen, J.J.[Jian-Jun], Qin, Y.[Yan], Du, J.X.[Jia-Xing], Yi, S.H.[Shu-Hua], Wang, Y.L.[Ying-Li],
Estimation of Grassland Canopy Height and Aboveground Biomass at the Quadrat Scale Using Unmanned Aerial Vehicle,
RS(10), No. 6, 2018, pp. xx-yy.
DOI Link 1806
BibRef

Yin, G.F.[Gao-Fei], Li, A.N.[Ai-Nong], Wu, C.Y.[Chao-Yang], Wang, J.Y.[Ji-Yan], Xie, Q.Y.[Qiao-Yun], Zhang, Z.J.[Zheng-Jian], Nan, X.[Xi], Jin, H.[Huaan], Bian, J.H.[Jin-Hu], Lei, G.[Guangbin],
Seamless Upscaling of the Field-Measured Grassland Aboveground Biomass Based on Gaussian Process Regression and Gap-Filled Landsat 8 OLI Reflectance,
IJGI(7), No. 7, 2018, pp. xx-yy.
DOI Link 1808
BibRef

Jansen, V.S.[Vincent S.], Kolden, C.A.[Crystal A.], Schmalz, H.J.[Heidi J.],
The Development of Near Real-Time Biomass and Cover Estimates for Adaptive Rangeland Management Using Landsat 7 and Landsat 8 Surface Reflectance Products,
RS(10), No. 7, 2018, pp. xx-yy.
DOI Link 1808
BibRef

Li, M.[Meng], Wu, J.S.[Jian-Shuang], Song, C.Q.[Chun-Qiao], He, Y.T.[Yong-Tao], Niu, B.[Ben], Fu, G.[Gang], Tarolli, P.[Paolo], Tietjen, B.[Britta], Zhang, X.Z.[Xian-Zhou],
Temporal Variability of Precipitation and Biomass of Alpine Grasslands on the Northern Tibetan Plateau,
RS(11), No. 3, 2019, pp. xx-yy.
DOI Link 1902
BibRef

Michez, A.[Adrien], Lejeune, P.[Philippe], Bauwens, S.[Sébastien], Herinaina, A.A.L.[Andriamandroso Andriamasinoro Lalaina], Blaise, Y.[Yannick], Muñoz, E.C.[Eloy Castro], Lebeau, F.[Frédéric], Bindelle, J.[Jérôme],
Mapping and Monitoring of Biomass and Grazing in Pasture with an Unmanned Aerial System,
RS(11), No. 5, 2019, pp. xx-yy.
DOI Link 1903
BibRef

Crabbe, R.A.[Richard Azu], Lamb, D.W.[David William], Edwards, C.[Clare], Andersson, K.[Karl], Schneider, D.[Derek],
A Preliminary Investigation of the Potential of Sentinel-1 Radar to Estimate Pasture Biomass in a Grazed Pasture Landscape,
RS(11), No. 7, 2019, pp. xx-yy.
DOI Link 1904
BibRef

He, L.[Li], Li, A.[Ainong], Yin, G.[Gaofei], Nan, X.[Xi], Bian, J.H.[Jin-Hu],
Retrieval of Grassland Aboveground Biomass through Inversion of the PROSAIL Model with MODIS Imagery,
RS(11), No. 13, 2019, pp. xx-yy.
DOI Link 1907
BibRef

Wang, J.[Jie], Xiao, X.[Xiangming], Bajgain, R.[Rajen], Starks, P.[Patrick], Steiner, J.[Jean], Doughty, R.B.[Russell B.], Chang, Q.[Qing],
Estimating leaf area index and aboveground biomass of grazing pastures using Sentinel-1, Sentinel-2 and Landsat images,
PandRS(154), 2019, pp. 189-201.
Elsevier DOI 1907
Biomass, Phenology, Vegetation indices, LAI, Remote sensing BibRef

Legg, M.[Mathew], Bradley, S.[Stuart],
Ultrasonic Proximal Sensing of Pasture Biomass,
RS(11), No. 20, 2019, pp. xx-yy.
DOI Link 1910
BibRef

Batistoti, J.[Juliana], Junior, J.M.[José Marcato], Ítavo, L.[Luís], Matsubara, E.[Edson], Gomes, E.[Eva], Oliveira, B.[Bianca], Souza, M.[Maurício], Siqueira, H.[Henrique], Filho, G.S.[Geison Salgado], Akiyama, T.[Thales], Gonçalves, W.[Wesley], Liesenberg, V.[Veraldo], Li, J.[Jonathan], Dias, A.[Alexandre],
Estimating Pasture Biomass and Canopy Height in Brazilian Savanna Using UAV Photogrammetry,
RS(11), No. 20, 2019, pp. xx-yy.
DOI Link 1910
BibRef

Legg, M.[Mathew], Bradley, S.[Stuart],
Ultrasonic Arrays for Remote Sensing of Pasture Biomass,
RS(12), No. 1, 2019, pp. xx-yy.
DOI Link 2001
BibRef

Clementini, C.[Chiara], Pomente, A.[Andrea], Latini, D.[Daniele], Kanamaru, H.[Hideki], Vuolo, M.R.[Maria Raffaella], Heureux, A.[Ana], Fujisawa, M.[Mariko], Schiavon, G.[Giovanni], del Frate, F.[Fabio],
Long-Term Grass Biomass Estimation of Pastures from Satellite Data,
RS(12), No. 13, 2020, pp. xx-yy.
DOI Link 2007
BibRef

Reis, A.A.D.[Aliny A. Dos], Werner, J.P.S.[João P. S.], Silva, B.C.[Bruna C.], Figueiredo, G.K.D.A.[Gleyce K. D. A.], Antunes, J.F.G.[João F. G.], Esquerdo, J.C.D.M.[Júlio C. D. M.], Coutinho, A.C.[Alexandre C.], Lamparelli, R.A.C.[Rubens A. C.], Rocha, J.V.[Jansle V.], Magalhães, P.S.G.[Paulo S. G.],
Monitoring Pasture Aboveground Biomass and Canopy Height in an Integrated Crop-Livestock System Using Textural Information from PlanetScope Imagery,
RS(12), No. 16, 2020, pp. xx-yy.
DOI Link 2008
BibRef

Pang, H.Y.[Hai-Yang], Zhang, A.[Aiwu], Kang, X.Y.[Xiao-Yan], He, N.P.[Nian-Peng], Dong, G.[Gang],
Estimation of the Grassland Aboveground Biomass of the Inner Mongolia Plateau Using the Simulated Spectra of Sentinel-2 Images,
RS(12), No. 24, 2020, pp. xx-yy.
DOI Link 2012
BibRef

Wu, S.[Shupu], Gao, X.[Xin], Lei, J.Q.[Jia-Qiang], Zhou, N.[Na], Wang, Y.D.[Yong-Dong],
Spatial and Temporal Changes in the Normalized Difference Vegetation Index and Their Driving Factors in the Desert/Grassland Biome Transition Zone of the Sahel Region of Africa,
RS(12), No. 24, 2020, pp. xx-yy.
DOI Link 2012
BibRef

Nguyen, P.[Phat], Badenhorst, P.E.[Pieter E.], Shi, F.[Fan], Spangenberg, G.C.[German C.], Smith, K.F.[Kevin F.], Daetwyler, H.D.[Hans D.],
Design of an Unmanned Ground Vehicle and LiDAR Pipeline for the High-Throughput Phenotyping of Biomass in Perennial Ryegrass,
RS(13), No. 1, 2021, pp. xx-yy.
DOI Link 2101
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Chen, Y.[Yun], Guerschman, J.[Juan], Shendryk, Y.[Yuri], Henry, D.[Dave], Harrison, M.T.[Matthew Tom],
Estimating Pasture Biomass Using Sentinel-2 Imagery and Machine Learning,
RS(13), No. 4, 2021, pp. xx-yy.
DOI Link 2103
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Shi, Y.[Yan], Gao, J.[Jay], Li, X.[Xilai], Li, J.[Jiexia], dela Torre, D.M.G.[Daniel Marc G.], Brierley, G.J.[Gary John],
Improved Estimation of Aboveground Biomass of Disturbed Grassland through Including Bare Ground and Grazing Intensity,
RS(13), No. 11, 2021, pp. xx-yy.
DOI Link 2106
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Xu, L.L.[Ling-Ling], Niu, B.[Ben], Zhang, X.Z.[Xian-Zhou], He, Y.[Yongtao],
Dynamic Threshold of Carbon Phenology in Two Cold Temperate Grasslands in China,
RS(13), No. 4, 2021, pp. xx-yy.
DOI Link 2103
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Bucha, T.[Tomáš], Papco, J.[Juraj], Sackov, I.[Ivan], Pajtík, J.[Jozef], Sedliak, M.[Maroš], Barka, I.[Ivan], Feranec, J.[Ján],
Woody Above-Ground Biomass Estimation on Abandoned Agriculture Land Using Sentinel-1 and Sentinel-2 Data,
RS(13), No. 13, 2021, pp. xx-yy.
DOI Link 2107
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Schrader-Patton, C.C.[Charlie C.], Underwood, E.C.[Emma C.],
New Biomass Estimates for Chaparral-Dominated Southern California Landscapes,
RS(13), No. 8, 2021, pp. xx-yy.
DOI Link 2107
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And: Erratum: RS(13), No. 13, 2021, pp. xx-yy.
DOI Link 2107
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Yu, R.Y.[Rui-Yang], Yao, Y.J.[Yun-Jun], Wang, Q.[Qiao], Wan, H.[Huawei], Xie, Z.J.[Zi-Jing], Tang, W.J.[Wen-Jia], Zhang, Z.P.[Zi-Ping], Yang, J.[Junming], Shang, K.[Ke], Guo, X.Z.[Xiao-Zheng], Bei, X.Y.[Xiang-Yi],
Satellite-Derived Estimation of Grassland Aboveground Biomass in the Three-River Headwaters Region of China during 1982-2018,
RS(13), No. 15, 2021, pp. xx-yy.
DOI Link 2108
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Rodríguez-Lozano, B.[Borja], Rodríguez-Caballero, E.[Emilio], Maggioli, L.[Lisa], Cantón, Y.[Yolanda],
Non-Destructive Biomass Estimation in Mediterranean Alpha Steppes: Improving Traditional Methods for Measuring Dry and Green Fractions by Combining Proximal Remote Sensing Tools,
RS(13), No. 15, 2021, pp. xx-yy.
DOI Link 2108
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Sacande, M.[Moctar], Martucci, A.[Antonio], Vollrath, A.[Andreas],
Monitoring Large-Scale Restoration Interventions from Land Preparation to Biomass Growth in the Sahel,
RS(13), No. 18, 2021, pp. xx-yy.
DOI Link 2109
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Lussem, U., Bolten, A., Menne, J., Gnyp, M.L., Bareth, G.,
Ultra-high Spatial Resolution Uav-based Imagery to Predict Biomass In Temperate Grasslands,
UAV-g19(443-447).
DOI Link 1912
BibRef

Manabe, V.D., Melo, M.R.S., Rocha, J.V.,
Monitoring pasture intesification in Brazilian Amazon biome with MODIS time series,
MultiTemp17(1-3)
IEEE DOI 1712
crops, farming, radiometry, AD 1980 to 2016, Brazilian official agricultural statistics time series, TWDTW BibRef

McNeill, S.J., Pairman, D., Belliss, S.E., Dalley, D., Dynes, R.,
Estimation of pasture biomass using dual-polarisation radar imagery: A preliminary study,
IVCNZ08(1-6).
IEEE DOI 0811
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Chapter on Remote Sensing General Issue, Land Use, Land Cover continues in
Trees in Pasture, Grassland, Rangeland, Savanna, Shrubs .


Last update:Oct 20, 2021 at 09:45:26