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Registros recuperados : 5 | |
1. | | LESSEL, J.; CECCATO, P. Creating a basic customizable framework for crop detection using Landsat imagery. International Journal of Remote Sensing. 2016, Volume 37, Issue 24, Pages 6097-6107. https://doi.org/10.1080/2150704X.2016.1252471 Article history: Received 06 May 2016, Accepted 15 Oct 2016, Published online: 14 Nov 2016. -- Correspondence author: Lessel, J.; The International Research Institute for Climate and Society, The Earth Institute, Columbia University,...Biblioteca(s): INIA Las Brujas. |
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3. | | VANCUTSEM, C.; PEKEL, J.-F.; KAYITAKIRE F.; DUVEILLER, G.; MERONI, M.; BAETHGEN, W.; CECCATO, P. Mapping winter and summer crops in Uruguay using MODIS time series. [Conference paper]. 2nd International Conference on Agro-Geoinformatics: Information for Sustainable Agriculture, Agro-Geoinformatics 2013. August 12-16 2013. Code 101027 Second International Conference on Agro-Geoinformatics (Agro-Geoinformatics), 2013, pp. 292-295, doi: http://doi.rog/10.1109/Argo-Geoinformatics.2013.6621924Biblioteca(s): INIA Las Brujas. |
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5. | | GUTIÉRREZ-VÉLEZ, V. H.; URIARTE, M.; DEFRIES, R.; PINEDO-VASQUEZ, M.; FERNANDES, K.; CECCATO, P.; BAETHGEN, W.; PADOCH, CH. Land cover change interacts with drought severity to change fire regimes in Western Amazonia. Ecological Applications, 2014, v. 24, no. 6, p. 1323?1340. Publication History: Issue online 1 September 2014 // Version of record online 1 September 2014 // Manuscript Accepted 18 December 2013 // Manuscript Received 12 November 2013Biblioteca(s): INIA Las Brujas. |
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Registros recuperados : 5 | |
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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
Fecha actual : |
02/08/2019 |
Actualizado : |
02/08/2019 |
Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
Circulación / Nivel : |
Internacional - -- |
Autor : |
TISCORNIA, G.; BAETHGEN, W.; RUGGIA, A.; CECCATO, P. |
Afiliación : |
GUADALUPE TISCORNIA TOSAR, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; WALTER E. BAETHGEN, Universidad de Columbia/ IRI (International Research Institute for Climate and Society).; ANDREA PAOLA RUGGIA CHIESA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; PIETRO CECCATO, Centro Universitario de la Región Este, Universidad de la República (Uruguay). |
Título : |
Can we Monitor Height of Native Grasslands in Uruguay with Earth Observation?. |
Fecha de publicación : |
2019 |
Fuente / Imprenta : |
Remote Sensing, 2019, 11, 1801. OPEN ACCESS. |
ISSN : |
EISSN 2072-4292 |
DOI : |
10.3390/rs11151801 |
Idioma : |
Inglés |
Notas : |
Article history: Received: 4 June 2019 / Accepted: 30 July 2019 / Published: 1 August 2019.
(This article belongs to the Special Issue Advances of Remote Sensing in Pasture Management).
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0). |
Contenido : |
ABSTRACT.
In countries where livestock production based on native grasslands is an important economic activity, information on structural characteristics of forage is essential to support national policies and decisions at the farm level. Remote sensing is a good option for quantifying large areas in a relative short time, with low cost and with the possibility of analyzing annual evolution. This work aims at contributing to improve grazing management, by evaluating the ability of remote sensing information to estimate forage height, as an estimator of available biomass. Field data (forage height) of 20 commercial paddocks under grazing conditions (322 samples), and their relation to MODIS data (FPAR, LAI, MIR, NIR, Red, NDVI and EVI) were analyzed. Correlations between remote sensing information and field measurements were low, probably due to the extremely large variability found within each paddock for field observations (CV: Around 75%) and much lower when considering satellite information (MODIS: CV: 4%?6% and Landsat:CV: 12%). Despite this, the red band showed some potential (with significant correlation coefficient values in 41% of the paddocks) and justifies further exploration. Additional work is needed to find a remote sensing method that can be used to monitor grasslands height. |
Palabras claves : |
CAMPOS; FORAGE; LIVESTOCK; MODIS; REMOTE SENSING. |
Thesagro : |
FORRAJES; GANADERIA; TELEDETECCIÓN. |
Asunto categoría : |
-- |
URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/13032/1/remotesensing-11-01801.pdf
https://www.mdpi.com/2072-4292/11/15/1801/pdf
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Marc : |
LEADER 02470naa a2200289 a 4500 001 1059963 005 2019-08-02 008 2019 bl uuuu u00u1 u #d 022 $aEISSN 2072-4292 024 7 $a10.3390/rs11151801$2DOI 100 1 $aTISCORNIA, G. 245 $aCan we Monitor Height of Native Grasslands in Uruguay with Earth Observation?.$h[electronic resource] 260 $c2019 500 $aArticle history: Received: 4 June 2019 / Accepted: 30 July 2019 / Published: 1 August 2019. (This article belongs to the Special Issue Advances of Remote Sensing in Pasture Management). This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0). 520 $aABSTRACT. In countries where livestock production based on native grasslands is an important economic activity, information on structural characteristics of forage is essential to support national policies and decisions at the farm level. Remote sensing is a good option for quantifying large areas in a relative short time, with low cost and with the possibility of analyzing annual evolution. This work aims at contributing to improve grazing management, by evaluating the ability of remote sensing information to estimate forage height, as an estimator of available biomass. Field data (forage height) of 20 commercial paddocks under grazing conditions (322 samples), and their relation to MODIS data (FPAR, LAI, MIR, NIR, Red, NDVI and EVI) were analyzed. Correlations between remote sensing information and field measurements were low, probably due to the extremely large variability found within each paddock for field observations (CV: Around 75%) and much lower when considering satellite information (MODIS: CV: 4%?6% and Landsat:CV: 12%). Despite this, the red band showed some potential (with significant correlation coefficient values in 41% of the paddocks) and justifies further exploration. Additional work is needed to find a remote sensing method that can be used to monitor grasslands height. 650 $aFORRAJES 650 $aGANADERIA 650 $aTELEDETECCIÓN 653 $aCAMPOS 653 $aFORAGE 653 $aLIVESTOCK 653 $aMODIS 653 $aREMOTE SENSING 700 1 $aBAETHGEN, W. 700 1 $aRUGGIA, A. 700 1 $aCECCATO, P. 773 $tRemote Sensing, 2019, 11, 1801. OPEN ACCESS.
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