A State-of-the-Art Vegetation Map for Jordan: A New Tool for Conservation in a Biodiverse Country

In many countries, including Jordan, the updating of vegetation maps is required to aid in formulating development and management plans for agriculture, forest, and rangeland sectors. Remote sensing data contributes widely to vegetation mapping at different scales by providing multispectral informat...
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Autor*in:	Hatem Taifour [verfasserIn] Kyle G. Dexter [verfasserIn] Jawad Al-Bakri [verfasserIn] Anthony Miller [verfasserIn] Sophie Neale [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2022

Schlagwörter:	remote sensing Jordan land cover land use vegetation map vegetation type

Übergeordnetes Werk:	In: Conservation - MDPI AG, 2021, 2(2022), 1, Seite 174-194
Übergeordnetes Werk:	volume:2 ; year:2022 ; number:1 ; pages:174-194

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.3390/conservation2010012

Katalog-ID:	DOAJ045668086

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language	English
source	In Conservation 2(2022), 1, Seite 174-194 volume:2 year:2022 number:1 pages:174-194
sourceStr	In Conservation 2(2022), 1, Seite 174-194 volume:2 year:2022 number:1 pages:174-194
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topic_facet	remote sensing Jordan land cover land use vegetation map vegetation type Ecology
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container_title	Conservation
authorswithroles_txt_mv	Hatem Taifour @@aut@@ Kyle G. Dexter @@aut@@ Jawad Al-Bakri @@aut@@ Anthony Miller @@aut@@ Sophie Neale @@aut@@
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author	Hatem Taifour
spellingShingle	Hatem Taifour misc QH540-549.5 misc remote sensing misc Jordan misc land cover misc land use misc vegetation map misc vegetation type misc Ecology A State-of-the-Art Vegetation Map for Jordan: A New Tool for Conservation in a Biodiverse Country
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topic_title	QH540-549.5 A State-of-the-Art Vegetation Map for Jordan: A New Tool for Conservation in a Biodiverse Country remote sensing Jordan land cover land use vegetation map vegetation type
topic	misc QH540-549.5 misc remote sensing misc Jordan misc land cover misc land use misc vegetation map misc vegetation type misc Ecology
topic_unstemmed	misc QH540-549.5 misc remote sensing misc Jordan misc land cover misc land use misc vegetation map misc vegetation type misc Ecology
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title	A State-of-the-Art Vegetation Map for Jordan: A New Tool for Conservation in a Biodiverse Country
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title_full	A State-of-the-Art Vegetation Map for Jordan: A New Tool for Conservation in a Biodiverse Country
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title_sort	state-of-the-art vegetation map for jordan: a new tool for conservation in a biodiverse country
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title_auth	A State-of-the-Art Vegetation Map for Jordan: A New Tool for Conservation in a Biodiverse Country
abstract	In many countries, including Jordan, the updating of vegetation maps is required to aid in formulating development and management plans for agriculture, forest, and rangeland sectors. Remote sensing data contributes widely to vegetation mapping at different scales by providing multispectral information that can separate and identify different vegetation groups at reasonable accuracy and low cost. Here, we implemented state-of-the-art approaches to develop a vegetation map for Jordan, as an example of how such maps can be produced in regions of high vegetation complexity. Specifically, we used a reciprocal illumination technique that combines extensive ground data (640 vegetation inventory plots) and Sentinel-2 satellite images to produce a categorical vegetation map (scale 1:50,000). Supervised classification was used to translate the spectral characteristics into vegetation types, which were first delimited by the clustering analyses of species composition data from the plots. From the satellite image interpretation, two maps were created: an unsupervised land cover/land use map and a supervised map of present-day vegetation types, both consisting of 18 categories. These new maps should inform ecosystem management and conservation planning decisions in Jordan over the coming years.
abstractGer	In many countries, including Jordan, the updating of vegetation maps is required to aid in formulating development and management plans for agriculture, forest, and rangeland sectors. Remote sensing data contributes widely to vegetation mapping at different scales by providing multispectral information that can separate and identify different vegetation groups at reasonable accuracy and low cost. Here, we implemented state-of-the-art approaches to develop a vegetation map for Jordan, as an example of how such maps can be produced in regions of high vegetation complexity. Specifically, we used a reciprocal illumination technique that combines extensive ground data (640 vegetation inventory plots) and Sentinel-2 satellite images to produce a categorical vegetation map (scale 1:50,000). Supervised classification was used to translate the spectral characteristics into vegetation types, which were first delimited by the clustering analyses of species composition data from the plots. From the satellite image interpretation, two maps were created: an unsupervised land cover/land use map and a supervised map of present-day vegetation types, both consisting of 18 categories. These new maps should inform ecosystem management and conservation planning decisions in Jordan over the coming years.
abstract_unstemmed	In many countries, including Jordan, the updating of vegetation maps is required to aid in formulating development and management plans for agriculture, forest, and rangeland sectors. Remote sensing data contributes widely to vegetation mapping at different scales by providing multispectral information that can separate and identify different vegetation groups at reasonable accuracy and low cost. Here, we implemented state-of-the-art approaches to develop a vegetation map for Jordan, as an example of how such maps can be produced in regions of high vegetation complexity. Specifically, we used a reciprocal illumination technique that combines extensive ground data (640 vegetation inventory plots) and Sentinel-2 satellite images to produce a categorical vegetation map (scale 1:50,000). Supervised classification was used to translate the spectral characteristics into vegetation types, which were first delimited by the clustering analyses of species composition data from the plots. From the satellite image interpretation, two maps were created: an unsupervised land cover/land use map and a supervised map of present-day vegetation types, both consisting of 18 categories. These new maps should inform ecosystem management and conservation planning decisions in Jordan over the coming years.
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title_short	A State-of-the-Art Vegetation Map for Jordan: A New Tool for Conservation in a Biodiverse Country
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