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International Journal of Remote Sensing Volume 35, 2014 - Issue 9
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Articles

Estimating forage quantity and quality under different stress and senescent biomass conditions via spectral reflectance

Martín DuranteLaboratorio de Análisis Regional y Teledetección, IFEVA, Faculty of Agronomy, University of Buenos Aires, Conicet, C1417DSEBuenos Aires, ArgentinaCorrespondence[email protected]
,
Martín OesterheldLaboratorio de Análisis Regional y Teledetección, IFEVA, Faculty of Agronomy, University of Buenos Aires, Conicet, C1417DSEBuenos Aires, Argentina
,
Gervasio PiñeiroLaboratorio de Análisis Regional y Teledetección, IFEVA, Faculty of Agronomy, University of Buenos Aires, Conicet, C1417DSEBuenos Aires, Argentina
&
María Mercedes VassalloLaboratorio de Análisis Regional y Teledetección, IFEVA, Faculty of Agronomy, University of Buenos Aires, Conicet, C1417DSEBuenos Aires, Argentina
Pages 2963-2981 | Received 12 Jun 2013, Accepted 17 Jan 2014, Published online: 27 Mar 2014

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Adeola. M. Arogoundade, Onisimo Mutanga & John Odindi. (2023) Fusion of PlanetScope and Sentinel 2 in assessing foliar C:N ratio in a rangeland. Journal of Spatial Science 0:0, pages 1-23.
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Jessica Ferner, Anja Linstädter, Christian Rogass, Karl-Heinz Südekum & Sebastian Schmidtlein. (2021) Towards Forage Resource Monitoring in subtropical Savanna Grasslands: going multispectral or hyperspectral?. European Journal of Remote Sensing 54:1, pages 364-384.
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Paula Aguirre Castro & Martín F. Garbulsky. (2018) Spectral normalized indices related with forage quality in temperate grasses: scaling up from leaves to canopies. International Journal of Remote Sensing 39:10, pages 3138-3163.
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Articles from other publishers (13)

Jochem Verrelst, Andrej Halabuk, Clement Atzberger, Tobias Hank, Stefanie Steinhauser & Katja Berger. (2023) A comprehensive survey on quantifying non-photosynthetic vegetation cover and biomass from imaging spectroscopy. Ecological Indicators 155, pages 110911.
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Michael Gbenga Ogungbuyi, Caroline Mohammed, Iffat Ara, Andrew M. Fischer & Matthew Tom Harrison. (2023) Advancing Skyborne Technologies and High-Resolution Satellites for Pasture Monitoring and Improved Management: A Review. Remote Sensing 15:19, pages 4866.
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Adeola M. Arogoundade, Onisimo Mutanga, John Odindi & Rowan Naicker. (2023) The role of remote sensing in tropical grassland nutrient estimation: a review. Environmental Monitoring and Assessment 195:8.
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Adeola.M. Arogoundade, Onisimo Mutanga, John Odindi & Omosalewa Odebiri. (2023) Leveraging Google Earth Engine to estimate foliar C: N ratio in an African savannah rangeland using Sentinel 2 data. Remote Sensing Applications: Society and Environment 30, pages 100981.
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Lucilia do Carmo Giordano, Mara Lúcia Marques, Fábio Augusto Gomes Vieira Reis, Claudia Vanessa dos Santos Corrêa & Paulina Setti Riedel. (2023) The suitability of different vegetation indices to analyses area with landslide propensity using Sentinel -2 Image. Boletim de Ciências Geodésicas 29:3.
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Fusong Han, Gang Fu, Chengqun Yu & Shaohua Wang. (2022) Modeling Nutrition Quality and Storage of Forage Using Climate Data and Normalized-Difference Vegetation Index in Alpine Grasslands. Remote Sensing 14:14, pages 3410.
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Katja Berger, Tobias Hank, Andrej Halabuk, Juan Pablo Rivera-Caicedo, Matthias Wocher, Matej Mojses, Katarina Gerhátová, Giulia Tagliabue, Miguel Morata Dolz, Ana Belen Pascual Venteo & Jochem Verrelst. (2021) Assessing Non-Photosynthetic Cropland Biomass from Spaceborne Hyperspectral Imagery. Remote Sensing 13:22, pages 4711.
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Christie Pearson, Patrick Filippi & Luciano A. González. (2021) The Relationship between Satellite-Derived Vegetation Indices and Live Weight Changes of Beef Cattle in Extensive Grazing Conditions. Remote Sensing 13:20, pages 4132.
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Suvarna M. Punalekar, Anna Thomson, Anne Verhoef, David J. Humphries & Christopher K. Reynolds. (2021) Assessing Suitability of Sentinel-2 Bands for Monitoring of Nutrient Concentration of Pastures with a Range of Species Compositions. Agronomy 11:8, pages 1661.
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Jinlong Gao, Tiangang Liang, Jie Liu, Jianpeng Yin, Jing Ge, Mengjing Hou, Qisheng Feng, Caixia Wu & Hongjie Xie. (2020) Potential of hyperspectral data and machine learning algorithms to estimate the forage carbon-nitrogen ratio in an alpine grassland ecosystem of the Tibetan Plateau. ISPRS Journal of Photogrammetry and Remote Sensing 163, pages 362-374.
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Jayan Wijesingha, Thomas Astor, Damian Schulze-Brüninghoff, Matthias Wengert & Michael Wachendorf. (2020) Predicting Forage Quality of Grasslands Using UAV-Borne Imaging Spectroscopy. Remote Sensing 12:1, pages 126.
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M. Garriga, C. Ovalle, S. Espinoza, G. A. Lobos & A. del Pozo. (2020) Use of Vis–NIR reflectance data and regression models to estimate physiological and productivity traits in lucerne (Medicago sativa). Crop and Pasture Science 71:1, pages 90.
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M. Balehegn & K. Berhe. (2015) Training reduced subjectivity of comparative yield method of estimation of grassland biomass. Grass and Forage Science 71:3, pages 482-489.
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