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Drone-Based Hypersp...
Drone-Based Hyperspectral and Thermal Imagery for Quantifying Upland Rice Productivity and Water Use Efficiency after Biochar Application
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- Jin, Hongxiao (author)
- Lund University,Lunds universitet,Institutionen för naturgeografi och ekosystemvetenskap,Naturvetenskapliga fakulteten,Dept of Physical Geography and Ecosystem Science,Faculty of Science,Technical University of Denmark,Sino-Danish Center for Education and Research (SDC),Tech Univ Denmark, Dept Environm Engn, DK-2800 Lyngby, Denmark.;Sino Danish Ctr Educ & Res SDC, DK-8000 Aarhus C, Denmark.;Lund Univ, Dept Phys Geog & Ecosyst Sci, S-22362 Lund, Sweden.
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- Köppl, Christian Josef (author)
- Technical University of Denmark,Tech Univ Denmark, Dept Environm Engn, DK-2800 Lyngby, Denmark.
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- Fischer, Benjamin M. C. (author)
- Uppsala universitet,Stockholm University,Stockholms universitet,Institutionen för naturgeografi,Uppsala University, Sweden,Luft-, vatten- och landskapslära,Stockholm Univ, Dept Phys Geog, S-10691 Stockholm, Sweden.;Stockholm Univ, Bolin Ctr Climate Res, S-10691 Stockholm, Sweden.
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- Rojas-Conejo, Johanna (author)
- National University Of Costa Rica,Univ Nacl Costa Rica, Water Resources Ctr Cent Amer & Caribbean HIDROCE, Liberia 50101, Costa Rica.
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- Johnson, Mark S. (author)
- University of British Columbia,Univ British Columbia, Dept Earth Ocean & Atmospher Sci, Vancouver, BC V6T 1Z4, Canada.
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- Morillas, Laura (author)
- University of British Columbia,Univ British Columbia, Ctr Sustainable Food Syst, Vancouver, BC V6T 1Z4, Canada.
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- Lyon, Steve W. (author)
- Stockholm University,Stockholms universitet,Institutionen för naturgeografi,Ohio State University, USA,Stockholm Univ, Dept Phys Geog, S-10691 Stockholm, Sweden.;Stockholm Univ, Bolin Ctr Climate Res, S-10691 Stockholm, Sweden.;Ohio State Univ, Sch Environm & Nat Resources, Columbus, OH 43210 USA.
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- Durán-Quesada, Ana M. (author)
- University of Costa Rica,Univ Costa Rica, Sch Phys, Atmospher Ocean & Planetary Phys Dept, San Jose 115012060, Costa Rica.;Univ Costa Rica, Sch Phys, Climate Syst Observat Lab, San Jose 115012060, Costa Rica.;Univ Costa Rica, Ctr Geophys Res, San Jose 115012060, Costa Rica.
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- Suárez-Serrano, Andrea (author)
- National University Of Costa Rica,Univ Nacl Costa Rica, Water Resources Ctr Cent Amer & Caribbean HIDROCE, Liberia 50101, Costa Rica.
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- Manzoni, Stefano (author)
- Stockholm University,Stockholms universitet,Institutionen för naturgeografi,Stockholm Univ, Dept Phys Geog, S-10691 Stockholm, Sweden.;Stockholm Univ, Bolin Ctr Climate Res, S-10691 Stockholm, Sweden.
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- Garcia, Monica (author)
- Technical University of Denmark,Tech Univ Denmark, Dept Environm Engn, DK-2800 Lyngby, Denmark.
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(creator_code:org_t)
- 2021-05-11
- 2021
- English.
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In: Remote Sensing. - : MDPI AG. - 2072-4292. ; 13:10
- Related links:
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https://doi.org/10.3...
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https://doi.org/10.3...
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Abstract
Subject headings
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- Miniature hyperspectral and thermal cameras onboard lightweight unmanned aerial vehicles (UAV) bring new opportunities for monitoring land surface variables at unprecedented fine spatial resolution with acceptable accuracy. This research applies hyperspectral and thermal imagery from a drone to quantify upland rice productivity and water use efficiency (WUE) after biochar application in Costa Rica. The field flights were conducted over two experimental groups with bamboo biochar (BC1) and sugarcane biochar (BC2) amendments and one control (C) group without biochar application. Rice canopy biophysical variables were estimated by inverting a canopy radiative transfer model on hyperspectral reflectance. Variations in gross primary productivity (GPP) and WUE across treatments were estimated using light-use efficiency and WUE models respectively from the normalized difference vegetation index (NDVI), canopy chlorophyll content (CCC), and evapotranspiration rate. We found that GPP was increased by 41.9 +/- 3.4% in BC1 and 17.5 +/- 3.4% in BC2 versus C, which may be explained by higher soil moisture after biochar application, and consequently significantly higher WUEs by 40.8 +/- 3.5% in BC1 and 13.4 +/- 3.5% in BC2 compared to C. This study demonstrated the use of hyperspectral and thermal imagery from a drone to quantify biochar effects on dry cropland by integrating ground measurements and physical models.
Subject headings
- NATURVETENSKAP -- Geovetenskap och miljövetenskap (hsv//swe)
- NATURAL SCIENCES -- Earth and Related Environmental Sciences (hsv//eng)
- TEKNIK OCH TEKNOLOGIER -- Naturresursteknik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Environmental Engineering (hsv//eng)
- NATURVETENSKAP -- Geovetenskap och miljövetenskap -- Naturgeografi (hsv//swe)
- NATURAL SCIENCES -- Earth and Related Environmental Sciences -- Physical Geography (hsv//eng)
- TEKNIK OCH TEKNOLOGIER -- Naturresursteknik -- Fjärranalysteknik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Environmental Engineering -- Remote Sensing (hsv//eng)
Keyword
- unmanned aerial vehicle (UAV)
- hyperspectral and thermal imagery
- gross primary productivity (GPP)
- water use efficiency (WUE)
- biochar
- upland rice
- Biochar
- Gross primary productivity (GPP)
- Hyperspectral and thermal imagery
- Unmanned aerial vehicle (UAV)
- Upland rice
- Water use efficiency (WUE)
Publication and Content Type
- ref (subject category)
- art (subject category)
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- By the author/editor
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Jin, Hongxiao
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Köppl, Christian ...
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Fischer, Benjami ...
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Rojas-Conejo, Jo ...
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Johnson, Mark S.
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Morillas, Laura
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Lyon, Steve W.
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Durán-Quesada, A ...
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Suárez-Serrano, ...
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Manzoni, Stefano
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Garcia, Monica
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- About the subject
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- NATURAL SCIENCES
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NATURAL SCIENCES
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and Earth and Relate ...
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- ENGINEERING AND TECHNOLOGY
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ENGINEERING AND ...
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and Environmental En ...
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- NATURAL SCIENCES
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NATURAL SCIENCES
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and Earth and Relate ...
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and Physical Geograp ...
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- ENGINEERING AND TECHNOLOGY
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ENGINEERING AND ...
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and Environmental En ...
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and Remote Sensing
- Articles in the publication
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Remote Sensing
- By the university
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Stockholm University
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Lund University
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Uppsala University