Spatial crop yield estimation based on remotely sensed stress index

The improvement of methods to evaluate the real impact of soil moisture availability on crop systems is crucial because the importance for world economy and food production. The relationship between the remote sensed stress index TVDI, root-zone soil moisture and soybean yield was analyzed in a sand...

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Detalles Bibliográficos
Autores principales:	Holzman, Mauro, Rivas, Raúl, Bayala, Martín, Ocampo, Dora, Carmona, Facundo
Formato:	Objeto de conferencia
Lenguaje:	Inglés
Publicado:	2014
Materias:	Ciencias Informáticas Ciencias Agrarias stress index soil moisture remote sensing COMPUTERS IN OTHER SYSTEMS
Acceso en línea:	http://sedici.unlp.edu.ar/handle/10915/42000 http://43jaiio.sadio.org.ar/proceedings/CAI/9.pdf
Aporte de:	SEDICI (UNLP) de Universidad Nacional de La Plata

id	I19-R120-10915-42000
record_format	dspace
institution	Universidad Nacional de La Plata
institution_str	I-19
repository_str	R-120
collection	SEDICI (UNLP)
language	Inglés
topic	Ciencias Informáticas Ciencias Agrarias stress index soil moisture remote sensing COMPUTERS IN OTHER SYSTEMS
spellingShingle	Ciencias Informáticas Ciencias Agrarias stress index soil moisture remote sensing COMPUTERS IN OTHER SYSTEMS Holzman, Mauro Rivas, Raúl Bayala, Martín Ocampo, Dora Carmona, Facundo Spatial crop yield estimation based on remotely sensed stress index
topic_facet	Ciencias Informáticas Ciencias Agrarias stress index soil moisture remote sensing COMPUTERS IN OTHER SYSTEMS
description	The improvement of methods to evaluate the real impact of soil moisture availability on crop systems is crucial because the importance for world economy and food production. The relationship between the remote sensed stress index TVDI, root-zone soil moisture and soybean yield was analyzed in a sandy region of Argentine Pampas. High correlation (R2 =0.68) between TVDI and soybean yield was observed. The obtained adjustment allows us to evaluate the spatial variability of yield during a humid and dry period 2-3 months before harvest. Since the method requires remote sensed data, it could be applied over areas with poor data coverage.
format	Objeto de conferencia Objeto de conferencia
author	Holzman, Mauro Rivas, Raúl Bayala, Martín Ocampo, Dora Carmona, Facundo
author_facet	Holzman, Mauro Rivas, Raúl Bayala, Martín Ocampo, Dora Carmona, Facundo
author_sort	Holzman, Mauro
title	Spatial crop yield estimation based on remotely sensed stress index
title_short	Spatial crop yield estimation based on remotely sensed stress index
title_full	Spatial crop yield estimation based on remotely sensed stress index
title_fullStr	Spatial crop yield estimation based on remotely sensed stress index
title_full_unstemmed	Spatial crop yield estimation based on remotely sensed stress index
title_sort	spatial crop yield estimation based on remotely sensed stress index
publishDate	2014
url	http://sedici.unlp.edu.ar/handle/10915/42000 http://43jaiio.sadio.org.ar/proceedings/CAI/9.pdf
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bdutipo_str	Repositorios
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Spatial crop yield estimation based on remotely sensed stress index

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