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Ground and satellite based assessment of rangeland management in sub-tropical Argentina
Sustainable rangeland management is an important issue not only in semi-arid areas but also in sub-tropical regions. For optimal utilization and protection of natural resources, spatial information on the current state and grazing intensity are required. In this paper the integration possibilities o...
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Published in: | Applied geography (Sevenoaks) 2010-04, Vol.30 (2), p.210-220 |
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description | Sustainable rangeland management is an important issue not only in semi-arid areas but also in sub-tropical regions. For optimal utilization and protection of natural resources, spatial information on the current state and grazing intensity are required. In this paper the integration possibilities of remote sensing derived information for an optimized rangeland management in the sub-tropical province of Corrientes, Argentina, are investigated. Multi-temporal Landsat imagery is utilized in order to classify land cover types and grazing intensity. The map legend was produced according to the United Nations/Food and Agriculture Organization Land Cover Classification System with special emphasis on separating different rangeland types and management practices. Grazing intensity categories were defined based on percentage of bare soil, sward height and standing dead material. Following a correlation analysis between spectral information and historical ground truth data, above ground biomass was estimated for rangelands. The relationship between total above ground biomass and NDVI (
r
2
=
0.5,
P
=
0.05) was significant but weak. However, rangeland biomass estimation excluding the complex influence of non-edible vegetation remained a challenge. Accurate stocking rates calculated for the Empedrado Department indicated that current rates were 16% higher than those calculated only on an area basis. |
doi_str_mv | 10.1016/j.apgeog.2009.01.006 |
format | article |
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r
2
=
0.5,
P
=
0.05) was significant but weak. However, rangeland biomass estimation excluding the complex influence of non-edible vegetation remained a challenge. Accurate stocking rates calculated for the Empedrado Department indicated that current rates were 16% higher than those calculated only on an area basis.</description><identifier>ISSN: 0143-6228</identifier><identifier>EISSN: 1873-7730</identifier><identifier>DOI: 10.1016/j.apgeog.2009.01.006</identifier><language>eng</language><publisher>Elsevier Ltd</publisher><subject>Biomass ; Classification ; Grazing ; Grazing intensity ; Grounds ; Land cover ; Land-use classification ; Landsat ; Management ; Mathematical analysis ; Rangeland ; Rangelands ; Remote sensing</subject><ispartof>Applied geography (Sevenoaks), 2010-04, Vol.30 (2), p.210-220</ispartof><rights>2009 Elsevier Ltd</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c371t-f8f87aee928b7d05cd476d7280edfd1dcc7c4942992b12cf5ce2ca4e1199f1ee3</citedby><cites>FETCH-LOGICAL-c371t-f8f87aee928b7d05cd476d7280edfd1dcc7c4942992b12cf5ce2ca4e1199f1ee3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27901,27902</link.rule.ids></links><search><creatorcontrib>Kurtz, Ditmar B.</creatorcontrib><creatorcontrib>Schellberg, Jürgen</creatorcontrib><creatorcontrib>Braun, Matthias</creatorcontrib><title>Ground and satellite based assessment of rangeland management in sub-tropical Argentina</title><title>Applied geography (Sevenoaks)</title><description>Sustainable rangeland management is an important issue not only in semi-arid areas but also in sub-tropical regions. For optimal utilization and protection of natural resources, spatial information on the current state and grazing intensity are required. In this paper the integration possibilities of remote sensing derived information for an optimized rangeland management in the sub-tropical province of Corrientes, Argentina, are investigated. Multi-temporal Landsat imagery is utilized in order to classify land cover types and grazing intensity. The map legend was produced according to the United Nations/Food and Agriculture Organization Land Cover Classification System with special emphasis on separating different rangeland types and management practices. Grazing intensity categories were defined based on percentage of bare soil, sward height and standing dead material. Following a correlation analysis between spectral information and historical ground truth data, above ground biomass was estimated for rangelands. The relationship between total above ground biomass and NDVI (
r
2
=
0.5,
P
=
0.05) was significant but weak. However, rangeland biomass estimation excluding the complex influence of non-edible vegetation remained a challenge. Accurate stocking rates calculated for the Empedrado Department indicated that current rates were 16% higher than those calculated only on an area basis.</description><subject>Biomass</subject><subject>Classification</subject><subject>Grazing</subject><subject>Grazing intensity</subject><subject>Grounds</subject><subject>Land cover</subject><subject>Land-use classification</subject><subject>Landsat</subject><subject>Management</subject><subject>Mathematical analysis</subject><subject>Rangeland</subject><subject>Rangelands</subject><subject>Remote sensing</subject><issn>0143-6228</issn><issn>1873-7730</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2010</creationdate><recordtype>article</recordtype><recordid>eNp9kEtrwzAQhEVpoenjH_TgW3uxuyvLlnwphNAXBHpp6VEo0tooOHYqOYX--ypNzzksC8M3AzOM3SAUCFjfrwuz7WjsCg7QFIAFQH3CZqhkmUtZwimbAYoyrzlX5-wixjUAiKrCGft8DuNucJlJF81Efe8nylYmUtJipBg3NEzZ2GbBDB31e25jBtPRn-6HLO5W-RTGrbemz-ahS7IfzBU7a00f6fr_X7KPp8f3xUu-fHt-XcyXuS0lTnmrWiUNUcPVSjqorBOydpIrINc6dNZKKxrBm4avkNu2ssStEYTYNC0SlZfs9pC7DePXjuKkNz7aVMMMNO6ilqIuQSFvEnl3lEQpgSsuVJVQcUBtGGMM1Opt8BsTfjSC3i-u1_qwuN4vrgF1WjzZHg42SoW_PQUdrafBkvOB7KTd6I8H_ALIWIzx</recordid><startdate>20100401</startdate><enddate>20100401</enddate><creator>Kurtz, Ditmar B.</creator><creator>Schellberg, Jürgen</creator><creator>Braun, Matthias</creator><general>Elsevier Ltd</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SU</scope><scope>8FD</scope><scope>C1K</scope><scope>FR3</scope><scope>H8D</scope><scope>KR7</scope><scope>L7M</scope><scope>7ST</scope><scope>7U6</scope><scope>F1W</scope><scope>H96</scope><scope>L.G</scope><scope>SOI</scope></search><sort><creationdate>20100401</creationdate><title>Ground and satellite based assessment of rangeland management in sub-tropical Argentina</title><author>Kurtz, Ditmar B. ; Schellberg, Jürgen ; Braun, Matthias</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c371t-f8f87aee928b7d05cd476d7280edfd1dcc7c4942992b12cf5ce2ca4e1199f1ee3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2010</creationdate><topic>Biomass</topic><topic>Classification</topic><topic>Grazing</topic><topic>Grazing intensity</topic><topic>Grounds</topic><topic>Land cover</topic><topic>Land-use classification</topic><topic>Landsat</topic><topic>Management</topic><topic>Mathematical analysis</topic><topic>Rangeland</topic><topic>Rangelands</topic><topic>Remote sensing</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Kurtz, Ditmar B.</creatorcontrib><creatorcontrib>Schellberg, Jürgen</creatorcontrib><creatorcontrib>Braun, Matthias</creatorcontrib><collection>CrossRef</collection><collection>Environmental Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Engineering Research Database</collection><collection>Aerospace Database</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Environment Abstracts</collection><collection>Sustainability Science Abstracts</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Environment Abstracts</collection><jtitle>Applied geography (Sevenoaks)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Kurtz, Ditmar B.</au><au>Schellberg, Jürgen</au><au>Braun, Matthias</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Ground and satellite based assessment of rangeland management in sub-tropical Argentina</atitle><jtitle>Applied geography (Sevenoaks)</jtitle><date>2010-04-01</date><risdate>2010</risdate><volume>30</volume><issue>2</issue><spage>210</spage><epage>220</epage><pages>210-220</pages><issn>0143-6228</issn><eissn>1873-7730</eissn><abstract>Sustainable rangeland management is an important issue not only in semi-arid areas but also in sub-tropical regions. For optimal utilization and protection of natural resources, spatial information on the current state and grazing intensity are required. In this paper the integration possibilities of remote sensing derived information for an optimized rangeland management in the sub-tropical province of Corrientes, Argentina, are investigated. Multi-temporal Landsat imagery is utilized in order to classify land cover types and grazing intensity. The map legend was produced according to the United Nations/Food and Agriculture Organization Land Cover Classification System with special emphasis on separating different rangeland types and management practices. Grazing intensity categories were defined based on percentage of bare soil, sward height and standing dead material. Following a correlation analysis between spectral information and historical ground truth data, above ground biomass was estimated for rangelands. The relationship between total above ground biomass and NDVI (
r
2
=
0.5,
P
=
0.05) was significant but weak. However, rangeland biomass estimation excluding the complex influence of non-edible vegetation remained a challenge. Accurate stocking rates calculated for the Empedrado Department indicated that current rates were 16% higher than those calculated only on an area basis.</abstract><pub>Elsevier Ltd</pub><doi>10.1016/j.apgeog.2009.01.006</doi><tpages>11</tpages></addata></record> |
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source | ScienceDirect Freedom Collection 2022-2024 |
subjects | Biomass Classification Grazing Grazing intensity Grounds Land cover Land-use classification Landsat Management Mathematical analysis Rangeland Rangelands Remote sensing |
title | Ground and satellite based assessment of rangeland management in sub-tropical Argentina |
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