DIGITAL MAPPING OF FARMLAND CLASSES IN THREE LANDSCAPE IN MEXICO

The cartography of farmland classes allows generating land maps, using a methodology based on local knowledge, rapidly and at low cost, and with a greater number of cartographic units than conventional soil surveys maps. However, the results found when producing these maps with automated cartography...

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Autores principales:	Cruz-Cárdenas,G, Ortiz-Solorio,C.A, Ojeda-Trejo,E, Martinez-Montoya,J.F, Sotelo-Ruiz,E.D, Licona-Vargas,A.L
Lenguaje:	English
Publicado:	Chilean Society of Soil Science / Sociedad Chilena de la Ciencia del Suelo 2010
Materias:	Map accuracy IDW interpolator soil sampling strategies
Acceso en línea:	http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-95162010000200003
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spelling	oai:scielo:S0718-951620100002000032011-01-24DIGITAL MAPPING OF FARMLAND CLASSES IN THREE LANDSCAPE IN MEXICOCruz-Cárdenas,GOrtiz-Solorio,C.AOjeda-Trejo,EMartinez-Montoya,J.FSotelo-Ruiz,E.DLicona-Vargas,A.L Map accuracy IDW interpolator soil sampling strategies The cartography of farmland classes allows generating land maps, using a methodology based on local knowledge, rapidly and at low cost, and with a greater number of cartographic units than conventional soil surveys maps. However, the results found when producing these maps with automated cartography techniques are contrasting. Precision and accuracy were evaluated in 324 computer generated farmland class (FLC) maps by applying the Inverse Distance Weighted (IDW) interpolation model. These maps were obtained by varying the sample size for the training, its spatial design, and the Power value of the interpolator. Moreover, the effort needed to obtain maps with acceptable reliability was quantified. The procedure was applied to FLC maps obtained from surveys with producers from three contrasting environmental zones in Mexico. The results show that the best sampling scheme in the three areas is the systematic sampling, and Power 8, giving the maps with the highest reliability. Through the criterion of map reliability and effort needed for sampling, the recommended sample size is 10% to 25% of the total plots.info:eu-repo/semantics/openAccessChilean Society of Soil Science / Sociedad Chilena de la Ciencia del SueloJournal of soil science and plant nutrition v.10 n.4 20102010-01-01text/htmlhttp://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-95162010000200003en10.4067/S0718-95162010000200003
institution	Scielo Chile
collection	Scielo Chile
language	English
topic	Map accuracy IDW interpolator soil sampling strategies
spellingShingle	Map accuracy IDW interpolator soil sampling strategies Cruz-Cárdenas,G Ortiz-Solorio,C.A Ojeda-Trejo,E Martinez-Montoya,J.F Sotelo-Ruiz,E.D Licona-Vargas,A.L DIGITAL MAPPING OF FARMLAND CLASSES IN THREE LANDSCAPE IN MEXICO
description	The cartography of farmland classes allows generating land maps, using a methodology based on local knowledge, rapidly and at low cost, and with a greater number of cartographic units than conventional soil surveys maps. However, the results found when producing these maps with automated cartography techniques are contrasting. Precision and accuracy were evaluated in 324 computer generated farmland class (FLC) maps by applying the Inverse Distance Weighted (IDW) interpolation model. These maps were obtained by varying the sample size for the training, its spatial design, and the Power value of the interpolator. Moreover, the effort needed to obtain maps with acceptable reliability was quantified. The procedure was applied to FLC maps obtained from surveys with producers from three contrasting environmental zones in Mexico. The results show that the best sampling scheme in the three areas is the systematic sampling, and Power 8, giving the maps with the highest reliability. Through the criterion of map reliability and effort needed for sampling, the recommended sample size is 10% to 25% of the total plots.
author	Cruz-Cárdenas,G Ortiz-Solorio,C.A Ojeda-Trejo,E Martinez-Montoya,J.F Sotelo-Ruiz,E.D Licona-Vargas,A.L
author_facet	Cruz-Cárdenas,G Ortiz-Solorio,C.A Ojeda-Trejo,E Martinez-Montoya,J.F Sotelo-Ruiz,E.D Licona-Vargas,A.L
author_sort	Cruz-Cárdenas,G
title	DIGITAL MAPPING OF FARMLAND CLASSES IN THREE LANDSCAPE IN MEXICO
title_short	DIGITAL MAPPING OF FARMLAND CLASSES IN THREE LANDSCAPE IN MEXICO
title_full	DIGITAL MAPPING OF FARMLAND CLASSES IN THREE LANDSCAPE IN MEXICO
title_fullStr	DIGITAL MAPPING OF FARMLAND CLASSES IN THREE LANDSCAPE IN MEXICO
title_full_unstemmed	DIGITAL MAPPING OF FARMLAND CLASSES IN THREE LANDSCAPE IN MEXICO
title_sort	digital mapping of farmland classes in three landscape in mexico
publisher	Chilean Society of Soil Science / Sociedad Chilena de la Ciencia del Suelo
publishDate	2010
url	http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-95162010000200003
work_keys_str_mv	AT cruzcardenasg digitalmappingoffarmlandclassesinthreelandscapeinmexico AT ortizsolorioca digitalmappingoffarmlandclassesinthreelandscapeinmexico AT ojedatrejoe digitalmappingoffarmlandclassesinthreelandscapeinmexico AT martinezmontoyajf digitalmappingoffarmlandclassesinthreelandscapeinmexico AT soteloruized digitalmappingoffarmlandclassesinthreelandscapeinmexico AT liconavargasal digitalmappingoffarmlandclassesinthreelandscapeinmexico
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DIGITAL MAPPING OF FARMLAND CLASSES IN THREE LANDSCAPE IN MEXICO

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