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Land use change, Ecosystems functioning, MODIS
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Model, Forage nutrition, Hyperspectral remote sensing,
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Identification of the Best Hyperspectral Indices in Estimating Plant
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RS(11), No. 5, 2019, pp. xx-yy.
DOI Link
1903
BibRef
Sakowska, K.[Karolina],
MacArthur, A.[Alasdair],
Gianelle, D.[Damiano],
Dalponte, M.[Michele],
Alberti, G.[Giorgio],
Gioli, B.[Beniamino],
Miglietta, F.[Franco],
Pitacco, A.[Andrea],
Meggio, F.[Franco],
Fava, F.[Francesco],
Julitta, T.[Tommaso],
Rossini, M.[Micol],
Rocchini, D.[Duccio],
Vescovo, L.[Loris],
Assessing Across-Scale Optical Diversity and Productivity
Relationships in Grasslands of the Italian Alps,
RS(11), No. 6, 2019, pp. xx-yy.
DOI Link
1903
BibRef
Noumonvi, K.D.[Koffi Dodji],
Ferlan, M.[Mitja],
Eler, K.[Klemen],
Alberti, G.[Giorgio],
Peressotti, A.[Alessandro],
Cerasoli, S.[Sofia],
Estimation of Carbon Fluxes from Eddy Covariance Data and
Satellite-Derived Vegetation Indices in a Karst Grassland (Podgorski
Kras, Slovenia),
RS(11), No. 6, 2019, pp. xx-yy.
DOI Link
1903
BibRef
Taravat, A.[Alireza],
Wagner, M.P.[Matthias P.],
Oppelt, N.[Natascha],
Automatic Grassland Cutting Status Detection in the Context of
Spatiotemporal Sentinel-1 Imagery Analysis and Artificial Neural
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RS(11), No. 6, 2019, pp. xx-yy.
DOI Link
1903
BibRef
Michez, A.[Adrien],
Lejeune, P.[Philippe],
Bauwens, S.[Sébastien],
Herinaina, A.A.L.[Andriamandroso Andriamasinoro Lalaina],
Blaise, Y.[Yannick],
Muńoz, 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
Liu, H.[Han],
Dahlgren, R.A.[Randy A.],
Larsen, R.E.[Royce E.],
Devine, S.M.[Scott M.],
Roche, L.M.[Leslie M.],
O'Geen, A.T.[Anthony T.],
Wong, A.J.Y.[Andy J.Y.],
Covello, S.[Sarah],
Jin, Y.[Yufang],
Estimating Rangeland Forage Production Using Remote Sensing Data from
a Small Unmanned Aerial System (sUAS) and PlanetScope Satellite,
RS(11), No. 5, 2019, pp. xx-yy.
DOI Link
1903
BibRef
Stendardi, L.[Laura],
Karlsen, S.R.[Stein Rune],
Niedrist, G.[Georg],
Gerdol, R.[Renato],
Zebisch, M.[Marc],
Rossi, M.[Mattia],
Notarnicola, C.[Claudia],
Exploiting Time Series of Sentinel-1 and Sentinel-2 Imagery to Detect
Meadow Phenology in Mountain Regions,
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
Kumar, S.S.[Sanath Sathyachandran],
Hanan, N.P.[Niall P.],
Prihodko, L.[Lara],
Anchang, J.[Julius],
Ross, C.W.[C. Wade],
Ji, W.J.[Wen-Jie],
Lind, B.M.[Brianna M],
Alternative Vegetation States in Tropical Forests and Savannas:
The Search for Consistent Signals in Diverse Remote Sensing Data,
RS(11), No. 7, 2019, pp. xx-yy.
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1904
BibRef
Lugassi, R.[Rachel],
Zaady, E.[Eli],
Goldshleger, N.[Naftaly],
Shoshany, M.[Maxim],
Chudnovsky, A.[Alexandra],
Spatial and Temporal Monitoring of Pasture Ecological Quality:
Sentinel-2-Based Estimation of Crude Protein and Neutral Detergent
Fiber Contents,
RS(11), No. 7, 2019, pp. xx-yy.
DOI Link
1904
BibRef
Dube, T.[Timothy],
Pandit, S.[Santa],
Shoko, C.[Cletah],
Ramoelo, A.[Abel],
Mazvimavi, D.[Dominic],
Dalu, T.[Tatenda],
Numerical Assessments of Leaf Area Index in Tropical Savanna
Rangelands, South Africa Using Landsat 8 OLI Derived Metrics and
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RS(11), No. 7, 2019, pp. xx-yy.
DOI Link
1904
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Meroni, M.[Michele],
Fasbender, D.[Dominique],
Lopez-Lozano, R.[Raul],
Migliavacca, M.[Mirco],
Assimilation of Earth Observation Data Over Cropland and Grassland
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1904
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Zheng, L.[Lei],
Zhao, G.S.[Guo-Song],
Dong, J.W.[Jin-Wei],
Ge, Q.S.[Quan-Sheng],
Tao, J.[Jian],
Zhang, X.Z.[Xue-Zhen],
Qi, Y.C.[You-Cun],
Doughty, R.B.[Russell B.],
Xiao, X.M.[Xiang-Ming],
Spatial, temporal, and spectral variations in albedo due to
vegetation changes in China's grasslands,
PandRS(152), 2019, pp. 1-12.
Elsevier DOI
1905
Albedo, Greenness, Grassland, Climate change, China
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Liu, C.X.[Cai-Xia],
Melack, J.[John],
Tian, Y.[Ye],
Huang, H.B.[Hua-Bing],
Jiang, J.X.[Jin-Xiong],
Fu, X.[Xiao],
Zhang, Z.[Zhouai],
Detecting Land Degradation in Eastern China Grasslands with Time
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1905
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Ling, B.[Bohua],
Raynor, E.J.[Edward J.],
Goodin, D.G.[Douglas G.],
Joern, A.[Anthony],
Effects of Fire and Large Herbivores on Canopy Nitrogen in a
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RS(11), No. 11, 2019, pp. xx-yy.
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1906
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You, Y.F.[Yong-Fa],
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Improved Modeling of Gross Primary Productivity of Alpine Grasslands
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1906
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Zhang, L.X.[Liang-Xia],
Zhou, D.C.[De-Cheng],
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Guo, Q.[Qun],
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Contrasting the Performance of Eight Satellite-Based GPP Models in
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1906
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1907
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Dong, Y.[Yu],
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Huang, M.[Mei],
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RS(11), No. 13, 2019, pp. xx-yy.
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1907
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Robinson, N.P.[Nathaniel P.],
Jones, M.O.[Matthew O.],
Moreno, A.[Alvaro],
Erickson, T.A.[Tyler A.],
Naugle, D.E.[David E.],
Allred, B.W.[Brady W.],
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1907
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Xiao, X.[Xiangming],
Bajgain, R.[Rajen],
Starks, P.[Patrick],
Steiner, J.[Jean],
Doughty, R.B.[Russell B.],
Chang, Q.[Qing],
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Elsevier DOI
1907
Biomass, Phenology, Vegetation indices, LAI, Remote sensing
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1907
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Camargo, F.F.[Flávio F.],
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A Comparative Assessment of Machine-Learning Techniques for Land Use
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1907
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Tiscornia, G.[Guadalupe],
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Ruggia, A.[Andrea],
Carmo, M.D.[Martín Do],
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Can we Monitor Height of Native Grasslands in Uruguay with Earth
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RS(11), No. 15, 2019, pp. xx-yy.
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1908
BibRef
Askari, M.S.[Mohammad Sadegh],
McCarthy, T.[Timothy],
Magee, A.[Aidan],
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Evaluation of Grass Quality under Different Soil Management Scenarios
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1908
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Wu, Z.H.[Zhen-Hua],
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1908
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Detecting Vegetation Variations and Main Drivers over the
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1909
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Gao, J.L.[Jin-Long],
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Wu, C.X.[Cai-Xia],
Hou, M.J.[Meng-Jing],
Liu, J.[Jie],
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Estimation of Alpine Grassland Forage Nitrogen Coupled with
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RS(11), No. 18, 2019, pp. xx-yy.
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1909
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Wagle, P.[Pradeep],
Gowda, P.H.[Prasanna H.],
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Response of Tallgrass Prairie to Management in the U.S. Southern
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1909
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Podebradská, M.[Markéta],
Wylie, B.K.[Bruce K.],
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Monitoring Drought Impact on Annual Forage Production in Semi-Arid
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1909
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Legg, M.[Mathew],
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Ultrasonic Proximal Sensing of Pasture Biomass,
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1910
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Multitemporal Hyperspectral Data Fusion with Topographic
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1910
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Batistoti, J.[Juliana],
Junior, J.M.[José Marcato],
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Souza, M.[Maurício],
Siqueira, H.[Henrique],
Filho, G.S.[Geison Salgado],
Akiyama, T.[Thales],
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Liesenberg, V.[Veraldo],
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Estimating Pasture Biomass and Canopy Height in Brazilian Savanna
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1910
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Hill, M.J.[Michael J.],
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Functional Phenology of a Texas Post Oak Savanna from a CHRIS PROBA
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1910
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Pan, C.G.[Caleb G.],
Kimball, J.S.[John S.],
Munkhjargal, M.[Munkhdavaa],
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Menzel, L.[Lucas],
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Role of Surface Melt and Icing Events in Livestock Mortality across
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1910
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Gebremedhin, A.[Alem],
Badenhorst, P.[Pieter],
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Spangenberg, G.[German],
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1911
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Martini, D.[David],
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Nitrogen and Phosphorus Effect on Sun-Induced Fluorescence and Gross
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1911
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Alemu, W.G.[Woubet G.],
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Land Surface Phenologies and Seasonalities in the US Prairie Pothole
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1911
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Guirado, E.[Emilio],
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1911
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Hott, M.C.[Marcos C.],
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Rocha, W.S.D.[Wadson S. D.],
Analysis of Grassland Degradation in Zona da Mata, MG, Brazil, Based
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1912
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Yang, Y.L.[Yan-Lin],
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Remote-Sensing Monitoring of Grassland Degradation Based on the GDI
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1912
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Hubert-Moy, L.[Laurence],
Thibault, J.[Jeanne],
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Rapinel, S.[Sébastien],
Mapping Grassland Frequency Using Decadal MODIS 250 m Time-Series:
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1912
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Legg, M.[Mathew],
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Ultrasonic Arrays for Remote Sensing of Pasture Biomass,
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2001
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Wijesingha, J.[Jayan],
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Predicting Forage Quality of Grasslands Using UAV-Borne Imaging
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2001
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Hunter, F.D.L.[Frederick D.L.],
Mitchard, E.T.A.[Edward T.A.],
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Inter-Seasonal Time Series Imagery Enhances Classification Accuracy
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2001
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An, S.[Shuai],
Chen, X.[Xiaoqiu],
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Precipitation and Minimum Temperature are Primary Climatic Controls
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2002
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Baeza, S.[Santiago],
Paruelo, J.M.[José M.],
Land Use/Land Cover Change (2000-2014) in the Rio de la Plata
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2002
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Rigge, M.[Matthew],
Homer, C.[Collin],
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Xian, G.[George],
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Quantifying Western U.S. Rangelands as Fractional Components with
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2002
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Pastick, N.J.[Neal J.],
Dahal, D.[Devendra],
Wylie, B.K.[Bruce K.],
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Characterizing Land Surface Phenology and Exotic Annual Grasses in
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2003
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Smith, C.[Chaya],
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Badenhorst, P.[Pieter],
Cogan, N.[Noel],
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Machine Learning Algorithms to Predict Forage Nutritive Value of In
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Spagnuolo, O.S.B.[Olivia S.B.],
Jarvey, J.C.[Julie C.],
Battaglia, M.J.[Michael J.],
Laubach, Z.M.[Zachary M.],
Miller, M.E.[Mary Ellen],
Holekamp, K.E.[Kay E.],
Bourgeau-Chavez, L.L.[Laura L.],
Mapping Kenyan Grassland Heights Across Large Spatial Scales with
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2004
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Gao, J.L.[Jin-Long],
Liang, T.G.[Tian-Gang],
Liu, J.[Jie],
Yin, J.P.[Jian-Peng],
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Feng, Q.[Qisheng],
Wu, C.[Caixia],
Xie, H.J.[Hong-Jie],
Potential of hyperspectral data and machine learning algorithms to
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Elsevier DOI
2005
Forage nutrition, Random forest, Absorption bands,
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Adamo, M.[Maria],
Tomaselli, V.[Valeria],
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Lucas, R.[Richard],
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Knowledge-Based Classification of Grassland Ecosystem Based on
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Lei, G.[Guangbin],
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Nan, X.[Xi],
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Tan, J.B.[Jian-Bo],
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The Quantitative Estimation of Grazing Intensity on the Zoige Plateau
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Kolarik, N.E.[Nicholas E.],
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Elsevier DOI
2005
UAS, SfM-MVS, Vegetation, Resource management, Savanna, Africa
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Sébastien, C.[Cremer],
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Can Low-Cost Unmanned Aerial Systems Describe the Forage Quality
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Recent Shrinkage and Fragmentation of Bluegrass Landscape in Kentucky,
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Chapter on Remote Sensing, Cartography, Aerial Images, Buildings, Roads, Terrain, ATR continues in
Trees in Pasture, Grassland, Rangeland .